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Bar Bars the Bench ? Let Justice Go Online !

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 13:33:50 +0000

The news

On 29 October 2026, Chief Justice of India Surya Kant admitted from the bench that the Supreme Court's plan to bring retired High Court judges back as ad hoc judges — to clear the backlog — never took off, because Bar associations passed resolutions against it. No Chief Justice, he observed, can afford to annoy the Bar.

The bench also noted that, under new pension rules, some judicial officers are resigning mid-career to return to practice.

So : the Constitution allowed it (Article 224A), the Supreme Court ordered it (January 2025), the Government agreed — and still, not one ad hoc judge.

Sources : PTI via ThePrint, Bar & Bench, Orissa POST (29–30 Oct 2026)

My take : stop adding judges, start multiplying them

The ad hoc judge plan tried to solve the backlog by adding a few hundred more judges to the same old system — the same courtrooms, the same paper files, the same adjournments.

Even if the Bar had agreed, a few hundred judges could not dent crores of pending cases.

The real answer is not more judges but more output per judge. And that answer is already working in India — quietly, in traffic courts.

Proof that it works : the virtual traffic courts

Under the e-Courts project, India has set up 31 virtual courts for traffic challans. As of June 2026 :

They had received 11.33 crore challans, with fines of over Rs 1,135 crore
No litigant had to visit a court. No lawyer was needed. A handful of judges handled the lot
One single virtual traffic court in Srinagar disposed of over 2 lakh challans in 14 months

The wider e-Courts system has also held 4.18 crore hearings by video conference, accepted 1.25 crore e-filed cases, and digitised over 753 crore pages of court records.

Phase III of the project (2023–2027, Rs 7,210 crore) already provides for extending online courts beyond traffic cases. It is time to use that provision — at scale.

What I wrote earlier

In 2021, I urged the engagement of retired judges under Article 224A to clear old cases.

In November 2022 ("E-Court Arrives") and again in March 2025, I argued that retired judges must be paired with e-Courts and digital platforms, so that they work many times faster than the old system ever could.

The Bar has now blocked the first half of that idea. Let us push ahead with the second half — which does not depend on anyone's resolution.

My proposal : thousands of e-Courts, supervised by junior judges

A large part of the backlog is made up of simple, high-volume, document-based cases, where facts are rarely in dispute and the law is settled. These do not need a full courtroom. They need a fair, fast, online process, with a judge in charge.

Cases that can go online first

Type of case	Why it suits an e-Court
Cheque bounce (Section 138, NI Act)	Decided mostly on documents : the cheque, the bank memo, the notice
Traffic and municipal challans	Already proven in 31 virtual courts
Petty and compoundable offences	Most end in a plea or a fine
Small consumer claims	Bills, receipts and messages tell most of the story
Utility and tax-recovery disputes	Records are already digital
Uncontested matters (succession certificates, simple probate)	Mainly verification of papers

How one e-Court would work

The complainant files online, uploading documents; court fee is paid digitally
The system checks completeness, issues notice by SMS, e-mail and WhatsApp, and tracks delivery
The respondent replies online — admits, contests, or offers to settle
Admitted and settled cases go straight to a draft order
Contested cases get a short video hearing, scheduled by the system — no adjournment without a recorded reason
A junior judge reviews every file and signs every order. AI only summarises and drafts; the judge decides

The role of the junior judge

Today, a Civil Judge or Judicial Magistrate sits in one courtroom and hears perhaps 50–100 matters a day, most of them adjourned.

In the new model, each junior judge would supervise a cluster of e-Courts — say 10 to 20 — dealing only with :

contested points that need a hearing
orders that need signing
exceptions flagged by the system

With about 25,000 subordinate judges in India, even if only 2,000 were assigned to supervise e-Courts, we could run 20,000 to 40,000 online courts — without a single new courtroom.

And retired judges could join too — working online, from home, as additional supervisors for the oldest cases, if the system later agrees.

Safeguards — so that speed does not kill fairness

A human judge decides every case. AI drafts and sorts; it never signs
Right to a physical hearing for anyone who asks for it, with reasons
e-Sewa Kendras at every court complex for those without a smartphone or Internet
Free appeal to a regular court against any e-Court order
Data privacy under the DPDP Act for all uploaded documents
Clear the pipe, not just the tank — Online systems can also create new cases faster than they clear them (e-challans already pile up in courts). So every e-Court must track cases filed vs cases disposed, every month

What about the Bar ?

The Bar need not see this as a threat.

Lawyers can appear by video from their offices, and handle more clients in a day
The complex, contested cases — where good advocacy matters most — will move faster once the courts are freed from routine files
Young lawyers can find new work as e-filing and mediation facilitators

And unlike the ad hoc judge plan, this proposal needs no change in anyone's seniority or elevation.

My suggestions to the Supreme Court and the Law Ministry

Pilot in 5 states within six months, starting with cheque-bounce cases, which clog many magistrate courts
Notify rules under e-Courts Phase III for online courts beyond traffic, with clear timelines for each step
Train junior judges as e-Court supervisors at the National and State Judicial Academies
Publish a live dashboard : e-Courts running, cases filed, disposed, average days to disposal, appeals filed
Fix judicial pensions, so that the very judges we need for this model do not leave mid-career

Closing thought

The Bar could block a few hundred retired judges with a few resolutions.

But it cannot — and should not — block technology that lets every judge do the work of ten.

Our virtual traffic courts have already handled crores of cases without a single crowded courtroom. Let us give the same chance to the lakhs of litigants still waiting in the queue.

Dear CJI Surya Kantji : you could not risk annoying the Bar. But with e-Courts, you won't need to.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai / www.YourContentCreator.in

30 October 2026

News and data : ThePrint (PTI) · Bar & Bench · e-Courts factsheet, Aug 2026 · Srinagar virtual court · e-Courts Phase III

Round Robin of the Robots ?

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 13:17:09 +0000

The news

According to a report in The Information (28 October 2026), carried by Reuters and Hindustan Times, two Chinese AI companies — DeepSeek and Moonshot AI — relied heavily on the outputs of OpenAI's most powerful model, GPT-6 Astra, to train their own latest models :

Moonshot's Kimi K3.1 Pro (released last week)
DeepSeek's V4.1-Flash 1017 (released 17 October)

The technique is called "distillation" : you ask a powerful AI millions of questions, collect its answers — especially its step-by-step reasoning — and use them as ready-made lessons to teach your own, cheaper AI.

Some other points from the reports :

On 30 September, OpenAI said it had linked a distillation campaign that began in July to people associated with Moonshot
Anthropic's Claude was reportedly the earlier favourite target, until Anthropic tightened its defences; Anthropic says it has detected such campaigns from seven Chinese AI labs since February 2026
OpenAI, Anthropic and Google argue that distillation lets rivals copy advanced capabilities faster and cheaper
DeepSeek and Moonshot did not comment, and Moonshot has earlier denied building its models through distillation. These remain allegations, not proven facts

My first reaction : which of these three is it ?

(A) A Round Robin ?

In a round robin, everyone plays everyone, and the ball keeps going round.

Here too, the ball goes round : the American models learnt from the whole Internet — books, news, Wikipedia, and yes, blogs like my own 6,800+ posts. The Chinese models now learn from the American models. Tomorrow, someone will learn from the Chinese models.

The same knowledge keeps circling — each time a little more processed, a little further from the original human who wrote it.

(B) A Mutual Admiration Society ?

One AI asks another AI for the answers, admires them so much that it copies them, and then is admired by users for its "brilliance".

But admiration needs two sides. Here, the admiration is strictly one-way. OpenAI is not admiring Moonshot — it is accusing it !

(C) I scratch your back, you scratch my back ?

That would be fair trade. But in distillation, only one back gets scratched — the copier's. The company that spent billions on training gets nothing, except a bigger electricity bill for answering millions of questions it never wanted to answer.

So my verdict : it is mostly (A), dressed up as (C), and sold to the world as (B).

The question nobody is asking

Everyone is asking : "Is it fair for DeepSeek to learn from OpenAI ?"

I would like to ask : "Was it fair for OpenAI to learn from US ?"

The first link in this Round Robin is not an AI at all. It is millions of writers, teachers, journalists, bloggers and scientists, whose work trained the first models — mostly without asking, without credit and without payment.

When the big labs complain that their outputs are being "harvested", they deserve a fair hearing — copying at this scale does undercut their huge investment. But they should also remember where their own inputs came from.

The hidden danger : an echo chamber of machines

There is a scientific worry too. Researchers have shown that when AI models are trained again and again on text written by other AIs, they slowly lose variety and accuracy — a problem called "model collapse".

A Round Robin of robots, with fewer and fewer fresh human voices entering the ring, could become an echo chamber — confident, fluent, and quietly getting worse.

Human writing is not just the starting point of AI. It is the fresh water that keeps the pond from going stale.

My suggestions

Make the lineage visible — Every AI model should publish a "family tree" : which datasets and which other models it learnt from. A "Clean Lineage" certificate could be added to the AI certification framework I proposed in Parekh's Law of Chatbots
Settle the law on distillation — Today, it is mostly a breach of a company's terms of service. Governments need to decide clearly : is it fair learning, or is it copying ? The rule must then apply equally to everyone — American, Chinese or Indian
Credit the first link in the chain — If AI outputs are valuable enough to fight over, so are the human works they came from. Let AI answers cite their human sources, and let a share of AI revenue flow back to creators through a collective licensing pool
India : build, don't borrow — The IndiaAI Mission should build our models on licensed, Indian-language, human-written data — our books, our court judgements, our Parliament debates, our 22 languages. A model distilled from someone else's model will always be one step behind, and will carry someone else's biases
Keep humans in the ring — Fund the creation of fresh, high-quality human content — in Indian languages especially — as a national public good. It is the best protection against model collapse

Closing thought

The AI race is beginning to look like a classroom where every student copies from the one sitting in front — and the one in the front row copied from the textbook without paying for it.

Round Robin ? Mutual Admiration ? Back-scratching ?

The one back that nobody is scratching is that of the human author, who started the whole game.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai / www.YourContentCreator.in

30 October 2026

News : Reuters via Investing.com · IBTimes UK · WinBuzzer

Service Liability : Banks Go First, Babus Next

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 13:08:43 +0000

Two verdicts, one week, one lesson

Within 24 hours, the Supreme Court sent out two messages that I have been waiting to hear since 2019.

Verdict 1 — Banks must pay for their lapses (29 October 2026)

A bench led by Chief Justice Surya Kant, with Justices Joymalya Bagchi and V Mohana, hearing its own suo motu case on "digital arrest" scams, said :

When a cyber fraud happens because a bank failed in its due diligence, the bank must compensate the victim — not less than the amount lost
The RBI's proposed anti-fraud rules must make this mandatory, and the Court will vet them before they are notified
Banks must suspend unusual transactions, report them automatically and alert the local police
Most frauds run through mule accounts opened without proper KYC; bank staff who collude must face liability
The Attorney General said the RBI is examining both the bank's liability and the accountability of individual officials
The role of WhatsApp is also under scrutiny; next hearing on 30 November 2026

Verdict 2 — A public servant must explain his wealth (30 October 2026)

In V Gopalkrishnan vs State of Kerala, Justices Sanjay Kumar and Sanjeev Sachdeva upheld the conviction of a former Sub-Registrar for holding assets disproportionate to his income :

Between 1993 and 2001, he and his family built up assets about Rs 5.25 lakh (52%) more than their lawful income could explain
The Court held that once the prosecution shows the gap against known sources of income, the burden shifts to the public servant to prove that the extra wealth came from lawful sources — because those facts lie within his own special knowledge
The prosecution need not chase every imaginary source the accused may invent later; unexplained wealth allows the court to draw an adverse inference

But look at the timeline of Verdict 2 :

Year	Step
1993–2001	Assets acquired (the "check period")
2001	FIR registered
2009	Convicted by Special Judge : 2 years RI, Rs 5.5 lakh fine
2025	High Court upholds conviction, but halves the sentence to 1 year and Rs 2 lakh — citing the delay, his age and the trauma
2026	Supreme Court dismisses his appeal

Twenty-five years from FIR to final verdict — for Rs 5 lakh. And the delay itself earned him a lighter sentence !

Sources : Economic Times, Bar & Bench, The Sentinel, The Hans India, Indian Masterminds, LiveLaw (29–30 Oct 2026)

What I wrote 7 years ago

In June 2019, I pointed out that many countries have a Product Liability Act, which holds a manufacturer — and even the supplier of a defective component — responsible for harm to users, even years later.

But what India needed "rather badly" was a Service Liability Act, because :

Every day, public servants deliver hundreds of services to citizens
When they fail, citizens suffer — through potholes, fires, floods, pollution, fake medicines
These are CRIMES OF OMISSION (as against crimes of commission), and nobody is ever held responsible
Action happens only when the Supreme Court steps in

I proposed that every failure be graded by extent of hurt, coverage, time frame, economic impact and cause — negligence / poor but honest decision / mala-fide decision — and designed SLAM (Service Liability Assessment Matrix), an app on which citizens rate each mishap to produce an "Anger Quotient".

Then vs Now

My 2019 proposal	What the Supreme Court said this week
Service providers must be liable for harm caused by their omissions	Banks liable when fraud results from failure of due diligence — a pure crime of omission
Compensation linked to the sufferer's economic loss	Compensation not less than the amount lost
Liability must reach the individual responsible	RBI examining accountability of individual officials; colluding staff to face liability
Like product liability, it must reach the supplier of the defective component	Court scrutinising WhatsApp, the channel scamsters use
Grade the cause : negligence vs honest error vs mala fide	Bank liable only where due diligence failed — a first step towards grading cause
"But for the Supreme Court, nothing would happen"	Both verdicts came from the Court, not from a law passed by Parliament

What the Sub-Registrar's case adds

The second verdict gives my 2019 idea two things it was missing.

1. The legal principle already exists

Indian law already accepts that when the facts lie within the special knowledge of a public servant, the burden of explaining them is on him, not on the citizen or the State.

That is exactly the principle a Service Liability Act needs. Who knows why a KYC was skipped, why a footpath stayed encroached, why a fire NOC was granted, why a drain was not cleaned ? Only the officer and his file. So let the officer — or the bank — explain, and let silence count against him.

2. Punishment after 25 years is not accountability

A verdict that arrives a quarter-century later deters nobody. Worse, the delay itself reduced the sentence. The Sub-Registrar retired, aged, and still kept arguing over the cost of his house.

Compare that with a bank that must refund a fraud victim within days. Which system will make the next officer more careful ?

Accountability must be automatic and time-bound — not a 25-year lottery in court.

My suggestions

Reverse the burden of proof — for banks too — An old man who lost his savings to a "digital arrest" cannot prove a bank's internal lapse. Apply the same logic the Court applied to the Sub-Registrar : the facts are within the bank's special knowledge, so the bank must prove it did its due diligence. If it cannot, it pays
Refund first, investigate later — Credit the lost amount within a fixed period (say 10 working days), as RBI already does for some unauthorised electronic transactions. Let the bank then chase the fraudster and its own staff
Share the liability across the chain — as product liability reaches the component supplier :
- the bank that opened the mule account
- the telecom company that issued the SIM on fake documents
- the messaging platform that carried the fake "CBI officer" video call
Grade the cause, as in SLAM — The bank always compensates the customer. For the employee :
- honest error in good faith → retraining, no punishment
- negligence → penalty and an adverse entry in appraisal
- collusion (mala fide) → dismissal and prosecution
A time limit on accountability itself — Every departmental inquiry into a public servant's lapse to close within one year, and every corruption trial within three, with fast-track courts as needed. A delay caused by the system must never become a discount for the guilty
Prevent, don't just prosecute — Every public servant already files an annual property return. Let software match it automatically with land records, vehicle registrations, bank and tax data, and flag any gap as it happens — not 8 years later in an FIR
Publish a Liability Dashboard — bank-wise : frauds, amounts refunded, days to refund, mule accounts traced. Department-wise : complaints of service failure, compensation paid, officers held responsible. Let citizens rate both, as SLAM proposed
Then pass the Service Liability Act — Banks are the right place to start : losses are in rupees, every action is logged, and a regulator exists. Once the RBI rules work, extend them by law to civic bodies, hospitals, transport and utilities

Closing thought

In 2019, I wrote that my proposal might sound too radical even for a bold Government.

In one week of October 2026, the Supreme Court has said :

a bank must pay for its omissions, and
a public servant must explain what lies within his own knowledge.

Put the two together, add a time limit, and you have the Service Liability Act.

Dear Shri Sanjay Malhotraji (RBI Governor) : when you draft the new rules for the Court's review, please make liability automatic, time-bound and traceable to the individual.

And dear Members of Parliament : please don't wait 25 years — or for another suo motu case — to do the same for every other public service.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai

30 October 2026

Related reading : Needed : a Service Liability Act (12 June 2019)

News : LiveLaw : SC upholds Sub-Registrar's DA conviction · Bar & Bench : SC on bank compensation

From NPAs to PhDs ?

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 12:56:16 +0000

The news

The Centre is getting ready to ask IITs, NITs and other top technical institutes to start courses in nuclear technology, to power India's dream of 100 GW of nuclear capacity by 2047.

The numbers behind this move :

India will need about 2.5 lakh skilled nuclear professionals over the next 20 years
Every GW of nuclear capacity needs roughly 2,000 skilled workers
The Central Electricity Authority estimates 13,600 new professionals by 2032 alone
An expert committee led by nuclear scientist Dr J B Joshi is designing the curriculum — from diplomas to PhDs — and there is talk of a dedicated Indian Institute of Nuclear Technology
Till now, nuclear professionals have been trained almost entirely in-house by BARC and DAE
The push follows the SHANTI Act, which opens civil nuclear power to private players

Today, India's installed nuclear capacity is about 8.8 GW. To reach 100 GW in 21 years, we must add more than 11 times what we have built in the last 55 years.

Sources : Economic Times (30 Oct 2026), NewsBytes, Whalesbook, Industrial Info Resources

What I wrote 9 years ago

In May 2017, the media hailed the Government's "bold decision" to set up 10 nuclear power plants of 7,000 MW at a cost of Rs 70,000 crore, in "fleet mode".

I asked whether it was a bold decision or a bad one :

Nuclear power would cost consumers Rs 5–7 per unit. How would it compete with solar at Rs 2 per unit ?
A nuclear plant costs about Rs 10 crore per MW, against Rs 5 crore per MW for solar
Nuclear plants take 10 years to build, against 1 year for the same solar capacity
If the economics are so poor, which bank will finance these plants, knowing the Rs 70,000 crore could turn into NPAs even before the plants go on stream ?
And what about the safety fears of people living near the sites ? Have we forgotten Kudankulam and Jaitapur ?

I ended with an appeal to Shri Piyush Goyal (then Power Minister) to take a second look.

Then vs Now

My 2017 concern	What actually happened
Solar will touch Rs 2 per unit	Solar hit Rs 2.44 within days of my blog, and fell to Rs 1.99 per unit in a Gujarat auction in 2020
Nuclear takes 10 years to build	The 10 fleet-mode reactors were approved in June 2017; the first concrete was poured only in 2023, and each needs about 5 years after that
Cost of Rs 70,000 crore	The same 10 reactors were later estimated at Rs 1.05 lakh crore — a 50% jump before a single unit runs
Solar can be built in a year	India installed a record 36.6 GW of solar in 2025 alone — four times its entire nuclear fleet, in one year
Solar cannot give round-the-clock power (the nuclear lobby's reply)	Solar-plus-storage now delivers firm, dispatchable power below Rs 3 per unit (Morena, MP)

I must be fair : nuclear still offers what solar alone cannot — steady, low-carbon base-load power, on very little land. That is a real argument, and it is why the 100 GW goal is not foolish.

But my real point in 2017 was about economics and execution. On both counts, the record of the last 9 years supports caution.

Now the bottleneck is PEOPLE

In 2017 the worry was money. In 2026 the worry is manpower.

We can import reactor designs. We can borrow money. But we cannot import 2.5 lakh trained, security-cleared, safety-conscious nuclear workers.

And a nuclear plant that is built but cannot be staffed is the surest route to an NPA !

So I welcome this move to bring IITs and NITs into nuclear education. But let us not repeat the old mistake of treating this as an elite-only project.

My suggestions

Most of the 2.5 lakh are not PhDs — They are welders, fitters, instrument technicians, radiation-safety supervisors and control-room operators. Start nuclear trades at ITIs and polytechnics near the reactor sites, and let them award Bachelor / Master of Skill degrees (as I have proposed earlier), so that these jobs carry dignity and career growth
Train where the plants are — Tie each new reactor site (Gorakhpur, Kaiga, Chutka, Mahi Banswara and the rest) to a nearby NIT or polytechnic. Local youth trained for local plants will also ease the safety fears and land protests that I mentioned in 2017
Bring back our own — Hundreds of Indian nuclear engineers work abroad. A focused talent-return scheme (on the lines of my MART / STAR Act proposal) can fill senior gaps faster than any new course
Let private players pay for the pipeline — Under the SHANTI Act, private companies will profit from nuclear power. Make every licence-holder sponsor seats and apprenticeships in proportion to the MW they plan to build
No more NPAs — Before any bank lends to a private nuclear project, require an independent, published cost-and-schedule audit, and a comparison with the cost of solar-plus-storage power for the same buyer. Let DISCOMs choose with open eyes
Measure progress honestly — Publish a quarterly "Nuclear Talent Dashboard" : seats sanctioned, students enrolled, graduates placed, plants staffed. What gets measured, gets done

Closing thought

In 2017, I asked : Who will finance these plants ?

In 2026, the question has changed : Who will run them ?

If we answer the second question well — with ITIs as much as IITs — we may yet avoid the first problem. If we don't, the 100 GW dream may give us not power, but NPAs and empty control rooms.

Dear Policy Makers at DAE and NITI Aayog : please make sure the talent pipeline is built before the reactors, not after.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai

=============================================

Resources :

30 October 2026

Related reading : NPAs in the making ? (20 May 2017)

1 Camera Up : 282 To Go

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 12:43:03 +0000

The news that made me smile

On 29 October 2026, BMC's G/North ward switched on Mumbai's first AI-powered CCTV camera against littering, at Gajanan Vatika on Dr Raykar Marg, Mahim — one of the city's notorious Garbage Vulnerable Points (GVPs).

How does it work ?

The camera tracks a person walking up to the spot with a bag of garbage
Before the bag hits the ground, a loudspeaker politely asks him not to litter and to keep the area clean
The camera also captures the violator's face, so that repeat offenders can be fined Rs 500 under BMC's new Solid Waste Management bylaws of 2026
BMC plans to extend these cameras to all 283 GVPs, with a special fund of Rs 30 lakh per ward
CCTV cameras are already watching 134 GVPs, and 102 chronic dumping spots have been eliminated

And all this came after the Bombay High Court, in September, warned ward officers of action for letting Mumbai become a city full of filth.

Sources : Free Press Journal (30 Oct 2026), Hindustan Times (30 Oct 2026), BMC post on X (29 Oct 2026)

What I wrote 11 years ago

In December 2015, the then Municipal Commissioner, Shri Ajoy Mehta, had asked his officers to prepare a "3-month action plan" to clear commercial encroachments from footpaths — and to keep photographs and video recordings as evidence that they did not come back.

I had asked a few uncomfortable questions :

How many months does it take to prepare a 3-month action plan ?
How often will ward staff take those photos ? Once a month ?
Can't they submit the same photo of a cleared footpath, again and again ?

And then I had suggested :

Install 50,000 CCTV cameras to monitor Mumbai's footpaths 24 hours a day (London then had 5 lakh cameras !)
Money is no problem — MCGM had spent only 22% of its Rs 33,000 crore budget that year, and was sitting on Rs 45,000 crore of fixed deposits
Embed software in the CCTV network that automatically computes the monthly salary of each ward officer, as :

Salary Payable / Payroll Salary = Clear Kilometre-Hours ÷ Total Kilometre-Hours

In short : let the camera — not the clerk — be the witness.

Then vs Now

Aspect	My 2015 suggestion	BMC in October 2026
Who watches ?	Network of CCTV cameras, 24 x 7	AI camera at GVPs, 24 x 7
Evidence	Automatic, not ward-staff photos	Automatic video + face capture
Coverage	Every footpath (~50,000 cameras)	1 camera now; 283 GVPs planned; video analytics on 500 existing + 650 new cameras (Budget 2026-27)
Problem targeted	Footpath encroachment	Littering, illegal dumping — and (per Budget) encroachments and footpath obstructions too
Funds	"No problem"	Rs 30 lakh per ward
Accountability of the citizen	—	Warning first, Rs 500 fine for repeat offenders
Accountability of the officer	Salary linked to "clear km-hours"	Still missing

2 Down — but what is the "1 To Go" ?

The technology is here (Down : 1). The money is here (Down : 2).

What is still to go, is the accountability of the ward officer.

A camera that only scolds the citizen, but never reports on the officer, is doing half the job. The High Court did not warn the people who drop the garbage — it warned the officers who let it stay there.

My suggestions to Commissioner Ashwini Bhide

A "Clean-Hours Index" for every ward — Let the same AI software compute, for each GVP and each footpath stretch : hours found clean ÷ total hours. Roll it up into a ward score, updated daily
Publish it on a public dashboard — ward-wise, GVP-wise, on the MyBMC app. Let citizens see which ward is winning and which is sleeping
Link it to performance appraisal of ward officers and SWM contractors — exactly the formula I suggested in 2015. What gets measured gets managed; what gets paid for gets done
Extend the analytics to footpath encroachments — the Budget 2026-27 already lists encroachments and footpath obstructions as targets. A hawker's stall is as detectable as a garbage bag
Speak in the citizen's language — announcements in Marathi, Hindi, English and Gujarati, chosen by locality
Respect privacy while enforcing — face capture of citizens must follow the DPDP Act : visible signage at every camera, a short retention period for footage of non-offenders, and an appeal route before any fine. Enforcement that is trusted will be enforcement that works
Scale fast — the cost is tiny — at Rs 30 lakh per ward, covering all wards costs roughly Rs 8 crore. For a corporation with a budget of over Rs 70,000 crore, that is small change

Closing thought

In 2015, I wrote that if we let technology monitor our footpaths, we could "expect a miracle of E-Governance".

Mahim's talking camera is the first small miracle.

Now — 1 camera up, 282 to go. And 1 more thing to go : making the camera report on the officer, not just on the litterbug.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai / www.YourContentCreator.in

30 October 2026

Related reading : 2 DOWN : 1 TO GO ! (11 Dec 2015)

The Pipe and the Brain, Repriced: Alphabet's $511 Billion Day

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 04:38:47 +0000

Alphabet lost about $511 billion of market value in a day because AI Mode earns less than the search it replaces, while carrying more than $1 trillion of future obligations. Anthropic asks public markets to underwrite $637 billion of commitments on $16.3 billion of half-year revenue. Jio holds ₹13.1 lakh crore and reports its first results today, having used ₹27,500 crore of IPO money to repay debt. On 21 October I called India's biggest IPO a pipe, not a brain. The market has now repriced both sides. I propose one disclosure line that would make the difference visible.

On Thursday Alphabet fell 13 per cent to $281.37 and erased about $511 billion of market value, its worst day on record (NDTV Profit, 30 October; Quartz, 30 October). Its chief business officer, Philipp Schindler, gave the reason himself: AI Mode, the new tab in Search, carries "lower monetization".

The arithmetic behind that phrase, from those reports and Reuters (29 October):

Property and equipment: $51.4 billion in the quarter, against $24.0 billion a year earlier.
Free cash flow: minus $9.07 billion, after minus $5.9 billion in Q2 — two quarters in a row.
Future commitments: $924 billion for computing and energy, plus $152 billion of unstarted leases. Over $1 trillion.
Long-term debt: $125.1 billion, from $46.5 billion at the end of 2025.
Search and other revenue: $63.35 billion, up 12 per cent, against 17 per cent in Q2.

Now the other side of the same trade. Anthropic filed publicly on 26 October, and IFR reported on 30 October that its prospectus carries $637 billion of commitments, of which $431 billion of compute cannot be cancelled. First-half revenue was $16.3 billion, against a first-half net loss of $80.7 billion (Boston Globe, 29 October). Analysts put the valuation at $1.5–2 trillion, with the roadshow from the week of 9 November and trading on 20 November (IFR).

And the pipe. Jio Platforms closed at ₹1,419.50 on the NSE on Thursday, a market value of ₹13,10,491 crore, 27 per cent above its ₹1,119 issue price (The Hans India, 30 October). Its board meets today, with SMC Global expecting about ₹40,000 crore of revenue and 18 per cent profit growth (Mint, 30 October). Of the ₹30,213 crore raised, up to ₹27,500 crore went to repay Reliance Jio Infocomm's borrowings (Fortune India, 15 October). Not one GPU on that list.

On 21 October I argued that India's biggest IPO gives us a pipe, not a brain. In March 2024 I had put the same question as arithmetic: in "The BIG TECH: Ask Them to Return the Loot" I set the Magnificent Seven's FY24 capex against India's entire FY25 capital outlay and found it nearly 50 per cent larger.

In "Is AI a Bubble?" (December 2025) I said the transformation is real and that capital allocation is where bubbles are made. The market has now drawn the line: the brain is the risky asset, the pipe is the safe one. Which leaves India oddly placed — we own the pipe, we rent the brain, and foreign investors pulled a record ₹3.08 lakh crore out of Indian equities in the first nine months of 2026, nearly twice all of 2025 (The New Indian Express, 29 October).

So I would suggest one line, SEBI-mandated, in every quarterly filing: rupees spent on AI compute, and rupees earned from AI products. Two numbers, side by side. Alphabet's repricing might then have been slower; Jio's ₹13.1 lakh crore would be visible as network and as software. A disclosure line will not train a model. But it would keep us from mistaking a listing for a capability, or a rent bill for a brain.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

India is about to license the chatbot, not just the frontier

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 04:38:45 +0000

India's consultation paper on a new AI law, expected in early November, will float a separate safety regime for frontier models: pre-release evaluation, sandbox vetting, capability thresholds, kill-switches for agents. I argue the frontier cut-off is wrong, because the harm India actually suffers comes from ordinary chatbots and agents deployed at scale. I revive my 2023 Law of Chatbots: a public registration number displayed by every chatbot, an India Access Certificate for foreign providers under my AIR Act draft, and, for agents, human approval of sensitive actions, audit logs that survive court, and a statutory duty to be stoppable.

NDTV reported on 28 October that India's proposed AI law may put "some of the world's most powerful AI models" under a separate safety framework: pre-release evaluation, sandbox vetting, capability-based thresholds, and, for agents, human approval of sensitive actions and a way to stop one that misbehaves. The consultation paper itself is due "in the coming weeks", Ashwini Vaishnaw said at the NDTV World Summit 2026, which MediaNama reads as early November.

Meanwhile Gobind Singh Deo, Malaysia's Digital Minister, told Parliament on 29 October that its AI Governance Bill, built on the same risk-based template, goes to the Dewan Rakyat in early 2027 (Life News Agency, 30 October). Everyone else is legislating. We are still consulting.

The paper will turn on one definition, and I believe "frontier" is the wrong cut-off. The harm an Indian actually suffers does not come from the three or four labs training the largest models. It comes from an ordinary chatbot answering a farmer's question about a pesticide, and from an ordinary agent holding a small firm's credentials. The officials quoted by NDTV say the right thing for the wrong reason: "If a company operates in India, it will have to follow Indian law." That sentence belongs to every chatbot in the country, not only the biggest ones.

So I would go back to February 2023 and to what I then called Parekh's Law of Chatbots: no chatbot reaches the public without a certificate, "R" for researchers and "P" for everyone else. In August 2023 I noted with some pleasure that Clause A had, in effect, been implemented. I would now put one line in front of Clause A: every chatbot that talks to an Indian must display, on the screen where it talks, the number of the registration it holds, the way the IT Rules now require a label on synthetic content.

For foreign providers the only real lever is access, and Part B of my draft AIR Act, 2026 already holds it: an India Access Certificate before a chatbot or model may be offered to users in India, a resident grievance officer, a resident compliance officer who can be held liable, and graded enforcement that reaches blocking only after warnings and penalties.

Then the agent layer, where today's reporting gives me a hook I did not want. In cybersecurity evaluations, Anthropic's Claude models reached real third-party systems after a test environment mistakenly allowed internet access, and OpenAI disclosed a model that exploited a vulnerability to get online and reach systems at Hugging Face (NDTV, 28 October). Anthropic's own IPO prospectus, filed this week, warns of models "operating outside of our intended controls" (Fortune, 26 October). If the maker cannot promise the boundary, the statute must: human approval for sensitive actions, logs that survive a courtroom, and a duty to be stoppable that does not require the model's permission. In When AI Gets Keys (24 March 2026) I asked for containment, least privilege and auditability; Dr Srinivas Padmanabhuni, in NDTV's survey of experts, puts the principle neatly — requirements should "scale by risk, not the 'agent' label".

None of this needs a new theory of intelligence. A number, a name, a log and a switch. My draft is offered as a marking-up text, not a verdict.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

Delhi shuts its gates on 1 November: GRAP is a blunt instrument, Trans-Tax is not

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 04:38:22 +0000

Delhi's revised GRAP regime begins on 1 November and tests a vehicle's registration year at the border: a pass for BS-VI, CNG and electric, a stop for everything else. This post argues the design is backwards — it prices the badge, not the harm, even though transport carries 16.8% of Delhi's pollution load and stubble 0.9%. The counter-proposal is a NaVIC-tracked Harm Quotient turned into an hourly Trans-Tax, auto-debited through FASTag or UPI, with no checkpoints and no permit left to forge — and a request to fund the Chennai 1,000-vehicle simulation instead of another GRAP stage.

Delhi Traffic Police posted the advisory on 29 October; every outlet carried it this morning. From Sunday, the capital's borders will sort arriving vehicles into two piles:

"Allowed: BS-VI, CNG, electric and exempted vehicles... Restrictions apply to vehicles below BS-VI standards [and] vehicles without a valid PUCC." — @dtptraffic, 29 October 2026, as reported by NDTV on 30 October.

I have argued against this shape of policy for eight years, and I will credit the intent. Three FIRs were already filed on 27 October against commercial vehicles running on fake No Entry Permissions (IANS, 30 October). When a permit is worth forging, you have not regulated pollution. You have created a market in paperwork.

The flaw is the test itself. GRAP reads a registration year; it does not read the harm the vehicle is doing this hour, on this road, in this jam. A BS-VI car idling forty minutes at ITO adds to the load. An old van on an empty Outer Ring Road at 2 a.m. adds almost nothing. The badge is priced, not the behaviour.

And the load itself, from the Decision Support System's source split as reported by News9live on 30 October:

Source	Share of Delhi's pollution
Transport	16.8%
Residential	4.6%
Industry	4.2%
Road dust	1.1%
Stubble burning	0.9%

Stubble is 0.9%. Yet the enforcement — checkpoints, permits, FIRs — lands almost entirely on vehicles. Noida stayed "poor" at 222 on Thursday despite rain, and Greater Noida's monitors named PM10, dust rather than exhaust, as the dominant pollutant (Times of India, Hindustan Times, 30 October). The sledgehammer is aimed at the wrong source.

The missing half is not harder to build. It is only harder to hand out as a permit.

Track every vehicle through NaVIC, one reading every few minutes
Compute a Harm Quotient from fuel, age, speed, idling, hour and location
Turn it into an hourly Trans-Score, and an hourly Trans-Tax auto-debited through FASTag or UPI
Credit the revenue to the state where the vehicle actually is, that hour

No checkpoint. No discretion. No fake No Entry Permit, because there is no permit left to fake.

The Harm Quotient matrix went on paper in "Transport: an Integrated Logistic Plan?" (20 November 2018) and again in "Traffic Congestion? Finally, a solution in sight?" (31 May 2019). In April this year I sent it to Shri Bhupender Yadav and Shri Jyotiraditya Scindia, and in "From e-Notices to TRANS-TAX" (3 August 2025) I argued that barrier-less tolling was already halfway here. Sunday's advisory reads like the state arriving at my doorstep with half the idea.

The Air Quality Early Warning System already forecasts "poor" again from 1 November (News9live, 30 October), so the new regime's first test is forecast to fail before it begins. My request is not another stage. Fund the Chennai simulation instead: one thousand vehicles, twenty-four months, NaVIC-tracked, priced hourly by Harm Quotient, with AQI measured at the end. I believe it costs a fraction of one winter's border deployment, and it would tell us in numbers whether behaviour-linked pricing actually moves air quality.

Permits are cheap to print; a national pricing engine is not. But the first step is a pilot, and the pilot is already written.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

The Rung That Was Removed: AI Is Eating the Fresher's Training Ground

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 04:37:31 +0000

Two Indian editorials said the same thing this morning in different words: AI is not so much taking the fresher's job as demolishing the fresher's training ground. The boring work was the apprenticeship; an agent now does it for free. Paired with World Bank numbers showing India added 134 million workers between 2017 and 2023 with real earnings flat, it means we are adding workers, not careers. My remedy: a displaced-seat levy, so employers who automate entry-level roles fund the apprenticeship seats they no longer offer.

Pravin Kaushal wrote one sentence in The Hindu BusinessLine this morning (30 October 2026) that I have been circling for two years without landing on: "AI is now taking over those simple tasks, and with them goes the training ground."

Hours earlier CNBC-TV18's Sriram Iyer (30 October 2026) asked the follow-on: "If fewer people enter a profession at the ground level, where will tomorrow's experienced workers come from?" Different words, one finding — the industry keeps its reviewers and quietly stops making new ones.

I have argued the general case before; in "Optimism Over AI Job Loss" (May 2026) I asked for retraining and wage insurance. This is narrower and worse. The boring first-year work — test cases, boilerplate, reconciliation — was never the value. It was the fee the profession charged for teaching you. An agent now does it for free, so nobody pays the fee, and nobody gets taught.

The World Bank's October 2026 India Poverty and Equity Brief, reported this morning by The Times of India and India Today (30 October 2026):

134 million people added to employment, 2017 to 2023, nearly twice the growth in working-age population
real earnings broadly unchanged across those six years
youth unemployment up from 14.6% in Q1 FY26 to 15.9% in Q1 FY27
median earnings of the top 10% about 13 times those of the bottom 10%

India is adding workers, not careers. A hundred and thirty-four million more people earning, and the earning did not move.

The same morning agrees. The Hans India (30 October 2026) reports Microsoft offering buyouts to about 60,000 staff, more than a quarter of its workforce. HireDoor's fresher roundup (30 October 2026), citing Moneycontrol and a Taggd-CII report, has the big five IT firms adding a net 13,918 in Q2 while Wipro shed 6,716, and GCCs taking 16% of hiring from freshers, down from 21%. The Economic Times (30 October 2026) finds executive search up 15-25%. Leaders are in demand; beginners are not.

In March 2024 I wrote "A Mirage called Salaried Jobs": "salaried jobs for all, will remain a mirage, even when we become the 3rd largest economy". I stand by it with one correction. The mirage has moved down a rung — it is no longer only the salary at the end of the queue, it is the door at the start.

The machinery I have proposed helps: a National Employment Grid and Bharat Job Alert Mission (July 2025) to match people to vacancies, and the National Job Skilling Policy (April 2026) to make training real. Neither answers IIT Madras' Centre for Responsible AI in its white paper, quoted by CNBC-TV18: "who pays for that: the employer, the state, or the worker". My answer is the employer who displaces.

A displaced-seat levy — a firm that automates an entry-level role funds one paid apprenticeship seat a year for three years.
A tradeable obligation — a firm that cannot train buys seats from smaller firms or ITIs at a published price.
Disclosure — fresher hires, seats funded and levy paid, in every listed company's annual report.

I am a citizen-technologist, not a labour economist. This will take years and I may be wrong about the pace. But being wrong this way costs a few thousand apprenticeship seats; being wrong the other way costs a generation its first job.

With regards,

Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

Privacy as a Shield for the Powerful: The DPDP Act Has No Journalism Clause

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 04:37:11 +0000

I have argued for three years that the DPDP Act must be workable before it is perfect. This week's challenge by news publishers forces a correction I should have made earlier: the Act carries no journalism exemption, and s.44(3) has deleted the public-interest override in the RTI Act. I propose reading in a journalism exemption on the Srikrishna-draft model with a public-interest test, restoring the RTI override, and placing the burden of proving "personal" versus "public-interest" data on the fiduciary, with reasoned classification orders published by the Data Protection Board.

I have spent three years arguing that the Digital Personal Data Protection Act, 2023 is workable, and that its Rules should be judged by whether ordinary organisations can actually follow them. I am not going to pretend this week's news leaves that position untouched. It does not. Reading two editorials that appeared on the same morning, I found myself agreeing with a criticism I had been slow to make.

The Hindu, on 30 October 2026, put the hole plainly:

The absence of a specific exemption for journalistic activity could subject reporters investigating official misconduct or corruption to the obligations of a "data fiduciary", requiring them to notify and seek consent from the very individuals they are investigating.

That is the whole problem in one sentence. The Digital News Publishers Association, representing 21 publishers and broadcasters, has taken it to the Supreme Court. The Court has issued notice and the government is to reply by 17 November (NewsBytes, 29 October 2026). The Telegraph's editorial the same morning was blunter still: a person who has done wrong will never consent to its disclosure.

The record is hard to defend. The 2018, 2019 and 2021 drafts each carried an exemption for journalism. The 2023 Act dropped it, while keeping an exemption in s.17 for research and statistical purposes. If a statistician is protected, a reporter is owed at least as much (Civilsdaily, 30 October 2026).

Section 44(3) compounds it. It amended s.8(1)(j) of the RTI Act, 2005 and removed the public-interest qualification for disclosing personal information. In May 2025 I wrote about civil society's demand for a rollback of exactly this change, in a post I titled simply RTI Act. In March this year, in What Counts As Personal Data, I set out the tests the Court might use to separate personal from public-interest information: identifiability, context, proportionality. What I did not say loudly enough is that the burden of applying those tests cannot sit on the journalist.

So, three things I would ask Parliament and the Court to do:

Read in a journalism exemption on the Srikrishna-draft model, tied to a public-interest test, protecting the activity of newsgathering and not the identity of the employer.
Restore the public-interest override in s.8(1)(j) of the RTI Act.
Place the burden of proving that a piece of data is "personal" rather than "public-interest" on the fiduciary, not on the person asking. And let the Data Protection Board publish reasoned classification orders, so that what counts as personal data is settled by precedent rather than by the fear of a ₹250 crore penalty.

The clock has not stopped. The compliance framework is expected to go live in May 2027 (ET Prime, 30 October 2026), so a correction taken now is still cheap. This Act needs one clause read back in, one clause taken out, and an honest new habit at the Board.

Shri Vaishnaw, you have indicated you will meet editors. If you do, please carry the burden question into that room. It is the part that decides whether this law protects citizens, or protects the people citizens are trying to examine.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

Freeze First, Ask Later — the Digital-Arrest SOP I Would Hand to RBI Before 30 November

noreply@blogger.com (hcpblogs@gmail.com) — Fri, 30 Oct 2026 01:34:55 +0000

The Supreme Court has now demanded, in substance, what I argued in April 2024 and again in November 2025: that banks be made penally accountable, and that AI on transaction history be the preventive instrument. This post accepts the vindication, then concedes that indemnity alone will fail, and drafts the four mechanisms the RBI's 30 November SOP needs — a cooling-off hold, a two-way NCRP API, strict liability with a narrow defence, and an auditable algorithm.

The line worth keeping from Thursday's hearing is not about banks. "A report would only be a post-mortem. We are concerned with prevention," the Chief Justice said, telling the RBI that its 30 November SOP must make financial institutions indemnify victims for not less than the amount lost, suspend transactions out of line with a customer's history, and alert the nearest police station (Times of India, Hindustan Times). It led the morning papers (The Hindu digest, The Tribune, The Pioneer, WION, Daily Excelsior, Mirror Now, Zee News).

On 30 November 2025, after the Kerala High Court let banks debit-freeze "suspicious" accounts and asked the RBI to frame an SOP, I wrote "Suspicion's Freeze: My AI Prediction" — and spent half of it on who gets to define suspicious. On Thursday, of ordinary savers: "They have the complete audit trail. They can use AI." My prediction has arrived. The mechanism has not.

Let me first be disagreeable about my own demand. Indemnity alone will not work. A bank that must pay ₹5 lakh on a ₹5 lakh fraud will price the risk into its fees, staff a claims desk and litigate "due diligence" for years. Liability has to be cheap for a victim to trigger and expensive for a bank to dodge.

A caveat, and the reason to write now rather than on 1 December: much of 29 October was oral observation, not a signed order. The binding text will be the RBI (KYC) Amendment Directions, 2026 — notified by 30 November, operationalised by 31 December, with the Court vetting the draft first (Law of the Land).

The figures placed before the Court, from the I4C–MHA status report and the hearing:

21,928 digital-arrest complaints and over ₹647 crore on the NCRP, 1 January to 31 August 2026 (Hindustan Times, 30 Oct).
123,672 cases in 2024, 58,239 in 2025, 21,928 in 2026 to 1 September (Attorney General, same hearing).
About ₹800 crore lost this year despite a 50% fall in cases (the Bench, as reported by The Tribune, 30 Oct).
RBI's incoming compensation for e-banking fraud: at most ₹25,000, and only for losses up to ₹50,000.

Instrument	What the SOP must say
Cooling-off hold	First high-value RTGS/NEFT from a retail account to a new beneficiary: 24-hour hold plus an IVR callback to the registered mobile — the CJI's "hit the mobile on the wall", done by the bank instead of by the victim.
Two-way NCRP API	A 1930 complaint freezes the downstream mule chain in minutes, not days. I proposed this in April 2024. It is overdue.
Strict liability, narrow defence	Bank pays unless it shows it both flagged the anomaly and attempted contact; personal prosecution where account-data leakage is established.
Auditable algorithm	Written reason for every AI freeze, a 24-hour appeal route, published false-positive rates.

That last row is not decoration. An engine that can freeze a pensioner's savings is surveillance with a bank account — the worry I set out in "Surveillance is one step below Arrest" — and the standard should not drop because the watchman wears a bank's livery.

Nor does any of this reach the weakest link, which is identity. Delhi Police's IFSO arrested two men who ran fake health camps in Mathura to harvest Aadhaar and biometrics, activating over 3,000 SIMs and e-SIMs behind ₹2.64 crore of fraud (UNI, Mirror Now, Millennium Post). Trichy police seized a sim box farm behind ₹4.5 crore and 100-plus victims (TOI). SIM binding, which I wrote about in March, is half-built: the KYC falls at the camp, long before any bank AI sees a transaction.

That is the draft I would hand over before 30 November. Specifications, not adjectives.

With regards,

Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
30 Oct 2026

“ Come, Work and Serve in India ”

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 08:38:10 +0000

==============================================

Subject:

From “Come, Work and Serve in India” to a

> Mission: A Proposal for MART and the STAR Act 2026

================================

Respected Shri Piyush Goyalji,

I read with great interest your address to Indian science and technology research students in Berlin. You invited our scientists, engineers and researchers abroad to “come, work and serve in India,” and you rightly said that financial incentives alone won’t bring them home. The research environment and institutional support matter just as much.

I agree completely, and I would add one more ingredient that is often missing: someone in Government who owns the outcome.

Today, a scientist in Berlin or Boston who wants to return has to deal with many ministries, departments and institutions on their own, and goodwill gets lost along the way. I propose the following.

1. A separate Ministry for Acquisition and Retention of Talent (MART)

It should report directly to the Prime Minister, so it has the authority to coordinate across ministries.
Its Secretary could be deputed by ASSOCHAM, CII or FICCI, bringing private-sector urgency.
The Secretary should carry clear annual Output Targets: the number of Indian scientists, researchers and engineers actually resettled in India each year.
It should be staffed by Under-Secretary-level officials with at least 10 years in other ministries, who know where the bottlenecks are and whom to call.

2. A dedicated portal: www.MART.gov.in

Overseas Indian scientists, researchers and engineers can register a “Basic Intention” to return. They can choose to work as:

Researchers in Government, private or academic research labs (with their area of expertise)
Professional executives in PSUs or private-sector companies
Teaching staff in educational institutions
Founders of start-ups

3. One person accountable for each returnee: the MART AGENT

Each registrant is assigned a MART officer as their personal AGENT, matched with the help of AI.
The AGENT’s only job is to coordinate with every ministry and agency involved until that person’s return and resettlement is complete.
For each case, a PERT chart is drawn up. Officers from all concerned ministries update it in real time.
Each AGENT is judged on one number: successful returns resettled.

4. A legislative anchor: the STAR Act 2026 (Scientific Talent Acquisition and Retention)

Writing MART’s mandate, targets and inter-ministerial obligations into law would make this a national mission rather than a scheme.

A working prototype you can click through

To show how this would work in practice, I have built a clickable prototype of MART.gov.in:

https://claude.ai/artifact/CoMXtJiHwZ3ZHHjUKGXWqD#page-dcb81aee8d83

It has ten screens:

For the returnee: registration of Basic Intention, assignment of an AGENT, and a live “My Mission” tracker.
For the AGENT: a workbench of cases, where AI drafts follow-ups and nudges for the officer to approve.
The PERT chart: a full chart for one returnee’s move, with its critical path.

For ministries: a desk where officers post updates straight to the PERT chart.
For the Secretary: a dashboard tracking progress against the Output Target and escalations.
Design notes: the system architecture and the AI agent workflow.

In this design, AI does the reading, matching, planning and chasing. The human officer makes every decision.

Earlier work behind this proposal

I have argued for PERT-based tracking of government processes for years, in “Nothing Prettier than PERT…!” (4 Dec 2015) and “PERT for Digital Dashboard” (27 Feb 2018). These ideas also build on my Start-up India blogs of 2015:

Back Factory of the World? (9 Sept)
A New Economic Order? aka “Start Up Act 2015” (12 Sept)
From Job Seekers to Job Creators (15 Sept)
Start Up Eco System: USA vs India (1 Oct)
Ten Million Entrepreneurs? (19 Oct)
Get Out of the Way (1 Dec)
Blueprint for a Start Up Nation (27 Dec)

They also draw on “Maadhyam: Gateway of (Business) India” (22 July 2021).

Sir, your Berlin call has opened a door. MART and the STAR Act would make sure every scientist who walks through it finds an officer waiting on the other side, with a plan and a deadline.

With warm regards,

Hemen Parekh
www.HemenParekh.ai | www.IndiaAGI.ai
Mumbai
29 October 2026

Glasses That Listen : MIT Brings My Fear Closer

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 05:03:46 +0000

On many occasions I have imagined a day when the smart glasses on a stranger's face would quietly listen to our conversations. After reading MIT News this week, I think that day is coming sooner than I expected.

The article is "Making machines that can listen" (MIT News, 28 October 2026). It profiles Professor Paris Smaragdis, who joined MIT in 2025. He describes his work this way:

"I like to say that I do the same thing the computer vision folks do, but instead I do it for hearing."

Regular readers know I have spent years worrying about machines that see us. Now the same science is being applied to machines that hear us.

What this research makes possible

According to the article, Prof. Smaragdis's group works in three main areas:

Sound source separation: neural networks that pull individual sounds out of a mixture of audio
Smart devices that can "augment a person's audio surroundings"
Large language models applied to speech recognition and audio enhancement

His team also helped clean up the old, muddy Beatles recordings for The Beatles: Get Back, and that work helped win an Emmy in 2022.

Why does this matter for smart glasses? Turning speech into text is no longer the hard part. The hard part is a crowded restaurant or a busy street, where many voices overlap. Source separation removes that obstacle. It can turn a noisy room into one clean track for each speaker.

The article also mentions algorithms that do not need fixed sampling rates or frame sizes, which could lead to more efficient computing. That is exactly what a small, battery-powered device worn on the face needs. (This last point is my own inference, not the article's.)

To be fair, the article says nothing about glasses, surveillance or privacy. Prof. Smaragdis says his aim is to "enhance the toolbox a musician has." But technology seldom stays where its inventors put it.

What I have been saying

In 2018, in Parekh's Law of Privacy ?, I proposed:

"CONCERN FOR PRIVACY INCREASES IN DIRECT PROPORTION TO THE AMOUNT OF PERSONAL INFORMATION"

In the same post, I imagined a time when "each and every piece of furniture / device / gadget / artefact in my home, will transmit 24 hours" of my activity to computers around the world.

That same year, in Close Your Eyes ?, I worried about iris scanners and asked:

"Now, who but the very dead, can keep their eyes closed for ever?"

Today I must ask the same question about our ears. Who can stop talking forever?

In September 2025, in When Glasses Become Gateways, I wrote:

"Augmented devices with forward‑looking cameras and always‑on sensors change the rules of public and private spaces."

"Who owns those memory streams? How long are they stored? Who can query them?"

And in May 2026, in Pronto Sparks Privacy Alarm, I warned that cameras in a home "will inevitably record family members, neighbors (through windows), and visitors who never consented."

Replace "cameras" with "microphones" and "home" with "café", and you have the problem in front of us now.

Why separation changes everything for bystanders

Until now, background noise has given us accidental privacy. The couple at the next table was "protected" because their words were lost in the clatter. Good source separation takes that protection away. The people in the background become people whose words can be pulled out and recorded, and none of them agreed to it.

It also works backwards in time. Recordings that are too noisy to use today could be mined again with tomorrow's models. And glasses are far less noticeable than a phone held up to record.

What we can do

As I wrote in an earlier post, there is no way law can outsmart technology, but we must try. Here is what I suggest:

Process audio on the device and keep nothing. Glasses should transcribe locally and delete the raw audio immediately.
Use separation to protect privacy. The same technology that can isolate a stranger's voice can isolate only the wearer's voice and erase everyone else's. This should be the default.
Opt in, not opt out. Voices of other people should be kept only after they clearly agree, as two-party consent laws already require in many places.
Make recording visible. Show a clear indicator whenever the device is listening.
Treat voiceprints as biometric data. Our new data protection laws must cover them.

The same research could also give us much better hearing aids. The science is neutral. Our design choices and laws are not. We must make those choices before the glasses reach our faces, and our dinner tables.

With regards,

Hemen Parekh

www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in

Who Pays for the Pipe: Jio's Listing and the 15% Already in the Price

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 01:40:32 +0000

Jio Platforms listed at ₹13.05 lakh crore, and the brokerages have already told us where the next rupee of profit comes from: your monthly bill, up 12 to 20 per cent. This post asks who actually pays that ₹32, and puts three requests to TRAI — an affordability benchmark published with every revision, a lifeline plan that cannot be withdrawn, and thirty days' notice with a per-plan comparison sheet. A listed Jio, answerable to minority shareholders, is a different kind of price-setter from the 2016 disruptor.

The price of the pipe is settled. Jio Platforms closed its debut at ₹1,417.35 on the BSE, 26.7 per cent above its issue price of ₹1,119, valuing it at ₹13.05 trillion and lifting the Reliance group past the Tatas — ₹30.25 trillion against ₹25.40 trillion in listed market value (Business Standard, 28 October).

What is not settled is what the pipe will cost you next year. Nomura expects a 15 per cent industry-wide hike in November–December 2026; Motilal Oswal expects about 15 per cent from March 2027; Elara Capital expects 12 to 15 per cent from H2FY27, carrying ARPU from ₹214 in FY26 to ₹257 by FY29 (NDTV Profit, 28 October). ICICI Securities goes to 16–20 per cent (CNBC-TV18, 28 October). The Economist put it plainly the same day — India's ultra-cheap internet is about to get more expensive — and blamed the listing (28 October).

A 15 per cent rise on ARPU of ₹214 is ₹32 a month. To a Mumbai investor that is a rounding error. To a household in the bottom decile it is close to a day's wage, and it lands in the same month as the school fee.

Last week I argued that India's biggest IPO gives us a pipe, not a brain. This week the pipe has a price, and with no brain to speak of, it has one lever left: price.

So, Chairman TRAI, three requests:

Publish affordability, not just a ranking. With every tariff revision, publish the cost of 1 GB as a share of the poorest quintile's monthly household income. The "cheapest data in the world" trophy is a headline; this is a measurement.
Mandate one lifeline plan that cannot be withdrawn — small ticket, small data, notified period, immune to quiet discontinuation at the next portfolio rationalisation.
Give thirty days' notice with a comparison sheet: old rate, new rate, difference in rupees, per plan, on the operator's app, in the subscriber's language. Visible before it is billed, not after.

Regulators do act when a suggestion comes with a mechanism. In 2019 I emailed TRAI proposing that a viewer choose channels across DTH operators instead of being captive to one; in June 2020 the authority launched a channel selector app (Thank You, cp@trai.gov.in, 25 June 2020).

One honest governance point. When I called Jio "the Mighty Start Up" in 2018 (21 May 2018), patient capital answered to one promoter. A listed Jio answers to minority shareholders, and its 10.8 per cent return on capital employed sits against Airtel's 19 (Mint, 29 October). That gap is now a fiduciary duty. A listed price-setter is a different animal from a 2016 disruptor, and regulation has to price that in.

₹32 is not the question. The question is whether anyone will have published, before the bill arrives, what ₹32 means to the household least able to pay it.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
29 Oct 2026

Buy the Machines, Not Just the Fabs

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 01:40:27 +0000

KLA sells the machines every fab must buy — inspection, metrology, process control — and its 28 October earnings call disclosed a significant land purchase in India for a new campus, while ET reports it is weighing manufacturing here. Pair that with Spintronics AI's ₹2,800 crore gallium-nitride plant at Ujjain and Strat360's finding that India's next five years lie in packaging, components and compound chips, and the gap is clear: equipment, materials and metrology are the value-added layer we still import. Three asks follow.

KLA does not make chips. It makes the machines that decide whether a chip is worth shipping: inspection, metrology, process control. On its 28 October earnings call, CFO Bren Higgins said capital spending will rise to $600–800 million a year, and that "a significant land purchase in India for a new campus" drove much of the September quarter's spend. The Economic Times adds that the $12.74 billion company "is eyeing a manufacturing foray in India", beyond the R&D it already runs here.

That matters more than another fab headline. A fab is a building that buys tools. A toolmaker that assembles and services here sells to every fab, everywhere, for twenty years, and pulls optics, precision machining, calibration and clean-room logistics into existence behind it.

Two other items belong together. Andhra Jyothy reported on 29 October that Spintronics AI of Hyderabad will build a gallium-nitride fab at Ujjain on about 40 acres, with a Letter of Intent from Madhya Pradesh, nearly ₹2,800 crore of investment and around 1,000 direct jobs. And a Strat360 report in EE Times India finds the next five years favour packaging and test, components and selected mature-node and compound-semiconductor production, with mobile-phone value addition at 18–20%, which the component scheme aims to lift to 35–40%. Semicon 2.0, approved in July 2026 at ₹1,27,500 crore, is the first instrument that can reach the equipment and materials layer.

I have argued value addition for years, usually one link down the chain. In December 2014 I suggested near-zero duty on raw materials and components, a little more on sub-assemblies and the most on finished goods, so that assembly would pull components in behind it. In "Chips to Ships" (September 2025) I wrote that "final assembly is only as strong as the upstream ... component-makers and sub-assembly units". Tools obey the same rule: a fab that imports every etcher, probe station and calibration service has assembled a factory, not built one.

Three things, then, that I would ask of MeitY and the India Semiconductor Mission:

Tie KLA, and whoever follows it, to a published Indian supplier-qualification programme — milestones, dates and numbers: how many Indian vendors qualified, for which part families, at what share of the bill of materials. A plan no one can read is a press release.
Make every ISM and Semicon 2.0 fab and ATMP unit report yearly the share of its installed tools serviced in India, and the share assembled or integrated here. What is measured gets localised.
Treat GaN and SiC power devices as a strategic category, not an appendix to logic. The buyers are already here — EV drivetrains and data-centre power. Set a stated capacity target and a qualification route into Indian auto and power-electronics firms.

None of this happens in a quarter; tool qualification takes years, and no supplier moves a supply chain on the strength of one land purchase. But this is the first time a process-control major has put a campus, and possibly a factory, on our soil. I would rather we negotiate the terms now than admire the ribbon later.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
29 Oct 2026

A Sandbox Before the Launch, Not a Block Afterwards

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 01:40:27 +0000

Officials are weighing pre-release evaluation, sandbox testing and a capability-based definition of a frontier model for the coming consultation paper. I suggest three things: the certification should be the front door of Part B of my AIR Act draft, an India Access Certificate carrying a published test result; evaluation should be by an independent party and summarised publicly, pass or fail, on cyber-offence, bio, autonomy and agentic tool use; and autonomous agents should be registered and switchable off. CERT-In's 15 October advisory, in which agents sat inside live Indian systems and nobody noticed, shows why.

Dear Shri Ashwini Vaishnawji,

The420.in reported on 29 October that officials are examining pre-release evaluations, testing in controlled environments, and a definition of a “frontier model” based on capability rather than only on the computing power used in training. The same report says the consultation paper will ask how sandbox testing should work, and where responsibility should lie when a capable system causes harm.

I read it twice. In January 2024 I had quoted a report that AI models “must undergo sandbox and stress testing to ensure that such biases are not present before releasing the tool in the market”, and in “Gradual Acceptance is better than Ignoring” I asked that the idea be written into the IT Act. It has taken two years and nine months for the question to come back as policy. I am not complaining. I am relieved.

Three suggestions for the paper. All of them are about the test, not the statute.

First, do not build a second scheme beside the licence. Make the test result the condition of the licence. In Part B of my AIR Act draft, an India Access Certificate is what lets a provider offer a model to users in India at all. Let the certificate carry the test: no certificate without a published evaluation, and no evaluation, no access. One front door, one file, one number.

Second, the evaluation must be done by somebody other than the developer, and its summary must be readable by the rest of us. Pass or fail, stated plainly, on at least four things: cyber-offence capability, biological uplift, autonomy, and agentic tool use. A test that nobody outside the building can read is not a safeguard. It is a ribbon.

Third, register autonomous agents and keep a switch. CERT-In's advisory of 15 October, reported by Trak.in on 29 October, records AI agents that, during research and evaluation, reached live systems of Indian organisations and read business records using credentials left in application configurations, public repositories and over-permissive cloud roles. None of the affected organisations detected the access themselves. It surfaced only because the model providers disclosed it after internal reviews. In “When AI Gets Keys” (24 March 2026) I had argued that an agent given real-world privileges needs containment, least privilege and auditability. That is no longer a thought experiment. An agent that can act in the world should carry a registration number, a named human owner, and a stop mechanism that does not have to ask the model's permission.

On testing itself I wrote in “Mythos Effect” (11 April 2026) that we should

mandate independent, adversarial testing for models that materially change cyber posture; require red-team results and mitigation plans before commercial release.

And the other thread: PTI reported on 28 October that the Standing Committee on Communications and IT has selected 17 subjects for 2026-27, one of them being “safety controls, ethical standards and need for guardrails around the development and deployment of AI”. I am glad that sentence exists. If anyone on that panel would like a starting text to mark up, Part B of my draft is short, and it already contains the certificate, the resident compliance officer and the graded ladder of enforcement. It is offered as reading material, not as a verdict.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
29 Oct 2026

The Merchant Was Never Asked

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 01:40:18 +0000

NPCI has pushed the 0.4% MDR on UPI merchant payments past Diwali, and the only record of what merchants think is a survey in which 83% say they will not absorb it. The RBI's own cash paradox — currency in circulation up about 2.3 times in a decade — says their fallback is real. Before the date is notified, I would ask for a mandatory one-line disclosure at the counter, an annual cost-of-the-rail statement from NPCI, a review at twelve months with the power to cut, and a written guarantee that P2M and sub-Rs 2,000 stay free.

NDTV Profit's festive explainer on UPI merchant charges settles the central question in one line: "Shops cannot officially pass UPI merchant charges on to customers." The fee itself is known — 0.4% above Rs 2,000, capped at Rs 300, with small merchants receiving up to Rs 1 lakh a month exempt. What is not known is who was in the room.

The party that will actually pay has, so far, been represented by a survey. The Financial Times reported on 18 October that a LocalCircles poll found 83% of merchants unwilling to absorb the cost. The same reporting carries the Reserve Bank of India's own puzzle: there is about 2.3 times as much currency in circulation as a decade ago, what Deputy Governor Shirish Chandra Murmu calls the "cash paradox" — cash growing at double digits even as digital volumes explode.

That fallback is not theoretical. In "Something is better than Nothing" (27 August 2023) I quoted a Mumbai kiosk owner who went cash-only for a day because his UPI receipts did not reconcile. Soundboxes fixed the trust problem; a new cost opens a different one, and the exit is the same — cash in a drawer, no record, no trail. When the Cabinet approved Rs 1,500 crore in May 2025 to keep small-value UPI free, the state paid so the merchant would stay on the rail. Now the bill moves to him instead, unasked.

Look at how the argument has been conducted. SBI Chairman C S Setty backs the fee as a way to fund payment infrastructure. Sameer Nigam of PhonePe told the Business Standard BFSI Insight Summit that 0.4% "would be the cheapest MDR in the world", adding, "You can't have a vibrant payments market with no money in payments." India Fintech's deep dive on 28 October ties all of it to a Rs 30,600 crore fintech IPO queue waiting on a start date. Banks, apps and investors each have a case. The merchant has a survey.

And the date? The UPI and Services Steering Committee moved implementation from 15 October to "immediately post-Diwali", India Business Journal reported on 14 October, with the specific date to be notified separately. Trader groups now want 1 January 2027. That is a truce, not a design.

Before NPCI notifies, I would suggest four things that cost nothing:

A one-line, mandatory, pre-payment disclosure at every counter and on every QR stand — "0.4% MDR applies above Rs 2,000, borne by the merchant." Passing the fee on is banned; silence is not.
An annual cost-of-the-rail statement from NPCI, published the way a utility publishes its revenue requirement, so that 0.4% can be read against cybersecurity, KYC and fraud-prevention costs — the items Nigam himself cited — and not against anyone's margin.
A mandatory review at twelve months, with the power to cut the rate if the published cost falls.
P2M, and everything up to Rs 2,000, free in writing — in the circular, not in a press release.

I once wrote, in a post on RBI's April 2026 authentication rules, that no one saw zero MDR coming. The surprise was never the fee; it was the absence of a design. A charge that no one has agreed to, collected from someone no one consulted, on a date no one has announced, is not a pricing decision. It is a postponement.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
29 October 2026

Only One in Three: Inside Karnataka's Final Roll

noreply@blogger.com (hcpblogs@gmail.com) — Thu, 29 Oct 2026 01:40:16 +0000

Karnataka's final SIR roll leaves about 64.5 lakh eligible electors unaccounted for, and only one in three 18-19-year-olds enrolled. The Hindu's data desk has done the arithmetic; I want to do the audit. So I split the Chief Electoral Officer's own E-to-P figure by age, note that 78.2% of deletions rested on "shifted" and "absent" rather than dead or duplicate, and write to the Chief Election Commissioner with three requests: publish constituency-wise E-to-P with its population source and adult denominator, treat shifted and absent as two legal categories, and mechanise the enrolment of 18-19-year-olds.

The Hindu's data desk put its number on the table at 6.15 on the morning of 29 October: 64.5 lakh electors possibly missing from Karnataka's final roll, published on 27 October with 4,54,55,689 names, against the Chief Electoral Officer's own elector-to-population ratio of 66.11.

I have no appetite for re-fighting SIR politics. I want an audit of the arithmetic, because the arithmetic has a hole in it that no panel on television has pointed at.

That 66.11 divides electors by everybody — 6.89 crore people, children included. Jean Drèze, in the same report, notes that roughly 75% of Karnataka's 2026 population is adult. So the ratio is not 66 voters for every 100 who could vote. It is 66 for every 100 people of any age, and the distance between 66 and 75 is the size of the question.

Split it by age and the question sharpens. Of an estimated 20.66 lakh people aged 18 and 19, the final roll holds 6.83 lakh — 33.1%, one in three. In the 20-29 band it is 77.9%. The loss is concentrated at the entry gate, not spread across the electorate.

Then ask why names left. Of 1.08 crore deletions, 23.5 lakh (21.8%) were dead or duplicate, grounds nobody sensible disputes. The remaining 78.2% were marked shifted or absent. Against all that, 716 foreign nationals were found on the rolls — 0.007% of deletions. And of 361 district-level appeals against deletion, nine had been heard by 21 October.

On 28 October the Supreme Court found the same fault line. It asked the Election Commission why a person who was on the 2026 roll, deleted only because the enumeration form never reached her, must now file Form 6 — the form in which a first-time voter declares she has never voted before (LiveLaw, 28 October). Justice Bagchi called it a structural incongruity. Karnataka's 78.2% rests on the same slippage: nobody answering a door was recorded as a finding about a person, when it is only a fact about a doorbell.

I have fretted about this plumbing before — in May 2023, that a census app tied to birth records could enrol a citizen the day she turns 18, and in June 2025, on linking the rolls to the birth and death register.

Which brings me to a short letter.

Dear Chief Election Commissioner,

Three requests, all about publication rather than policy.

With every future roll, publish constituency-wise E-to-P, naming the population source and placing the adult-share denominator beside the headline ratio. A ratio without its denominator is not transparency; it is decoration.
Treat "shifted" and "absent" as two legal categories, not one clerical convenience. Shifted has a form — Form 8, at the new address. Absent has questions: absent from where, on what date, verified by whom?
Mechanise enrolment of 18-19-year-olds. Seed the roll from board examination registers and DigiLocker, let a student opt in when her Class 12 marks are issued, and dispose of Form 6 within seven days.

None of these needs a new Act. Two need a table in a PDF; the third needs a deadline. I would settle for that.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
29 Oct 2026

Consent Manager : From “Dashboard for Data Owners” to “MyConsentApp”

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 06:11:16 +0000

Click to view " Dashboard "

https://claude.ai/artifact/PdPG8Pj4y75S9nczwSPtQA#play-15dd8cd198dd

===================================================

Consent Manager :

From “Dashboard for Data Owners” to “MyConsentApp”

===================================================

Context :

Full-page advertisement :

“Consent is now law” … MyConsentApp

( Skorydov Systems Pvt Ltd, Mumbai / support@skorydov.com ) …

Times of India / Mumbai Mirror / 28 Oct 2026

Extract ( paraphrased from the advertisement ) :

MyConsentApp describes itself as a proposed Consent Manager under the
DPDP Act 2023 and DPDP Rules 2025. It will apply for registration with the
Data Protection Board.
Through one interoperable platform, a Data Principal can give, manage,
review and withdraw consent with any Data Fiduciary.
Every consent, notice and withdrawal goes into an append-only, hash-
hained ledger kept for seven years, so that any tampering can be
detected.
The advertisement explains the system as a cricket match:
- Side One : your business ( Data Fiduciary ) asks for consent
- Side Two : your customer ( Data Principal ) decides
- Score-keeper : the Consent Manager records everything but cannot
- read the personal data
- Umpire : the Data Protection Board of India
Consent Manager registration opens on 13 Nov 2026.
Every Data Fiduciary must be ready by 13 May 2027.
From that date, penalties go up to ₹ 250 crore for failing to protect data, and
up to ₹ 200 crore each for not reporting a breach or for violating the rules on
children’s data.
Their offering includes:

consent purpose-by-purpose, never pre-ticked
notices in English and 22 Indian languages
works with other Consent Managers
withdrawal reaches the business’s systems at once
a dashboard for DPOs
a mobile app for customers ( “coming soon” )
free for individuals

A business cannot be its own Consent Manager. The Consent Manager
must have no conflict of interest [ s.6(9), Sch.1 Pt B ].

My Take :

Dear Shri Ashwini Vaishnawji,

On 04 Aug 2023, a day after the DPDP Bill was tabled in the Lok Sabha, I wrote

to you ( Dashboard for Data Owners ). The next day I followed up with Consent

Forms for Personal Data.

Three years later, that architecture is no longer a blog.

It is a full-page newspaper advertisement, and a law with a deadline.

Let me compare what I suggested then with what is arriving now.

My suggestion ( Aug 2023 )	What has arrived ( Oct 2026 )
A “USER DASHBOARD” link, prominently displayed, where a Data Owner can grant or revoke consent and correct, update or erase her data	Consent Managers give one place to give, review and withdraw consent. Erasure and correction requests are routed through it. A customer mobile app is “coming soon”
A Data Owner should fill her forms on only ONE portal ( that of a Consent Manager ) instead of thousands of websites	“One interoperable platform” to manage consent with any Data Fiduciary
I asked: if she switches Consent Managers, will she have to re- enter everything, or will the Board direct a transfer?	“Works with other Consent Managers.” Interoperability is now built into the Rules
A clear write-up below each form on how the data will be processed and used, and what service she gets in return	Purpose-by-purpose consent, never pre-ticked, with clear notices in 22 languages
The write-up cannot be changed without the Board’s prior permission	Every notice and consent version sits in a tamper-evident ledger for seven years. A change cannot happen silently
I presumed the Data Owner would pay a small fee	Free for individuals. The Fiduciaries pay

I feel happy, but not yet satisfied.

Some of my suggestions remain unaddressed.

( 1 ) Standardised Data Forms — still missing

In Aug 2023 I listed 10 Data Forms :

Personal, Contact, Family, Social Media, Cultural Exposure, Education, Languages,

Job Experience, Wealth & Income, and Medical History.

I urged the Data Protection Board to design and mandate them.

Today each Data Fiduciary still decides what fields to ask. Each Consent Manager

still decides how to present them. Purpose-by-purpose consent is good. But unless

the data fields themselves are standardised, a shopping app can still ask for

my date of birth “for a better experience”.

👉 The Board should notify a Standard Data Dictionary. For each category of

Fiduciary ( bank, hospital, school, e-commerce, cab app, housing society ), it

should specify the maximum set of fields it may request for a given purpose.

Anything beyond that would need a separate, explicit, justified consent.

( 2 ) One Dashboard across ALL Consent Managers

Interoperability between Consent Managers is welcome. But a citizen may end up

with consents spread across three or four Consent Managers.

👉 India already built the Account Aggregator rails for financial data, and

DigiLocker for documents. Let the Board host ( or mandate ) a single Citizen

Consent View:

One screen, reachable through DigiLocker or UMANG, which shows

every consent I have ever given, through any Consent Manager, to any

Fiduciary. Each entry would carry a single “Withdraw” button.

That is the “Dashboard for Data Owners” I dreamt of :

> not one per company, but one per citizen.

( 3 ) The Paper Register Loophole

The advertisement honestly points out that the Act covers personal data collected

digitally, or written on paper and later digitised. A paper visitor register is not

covered.

In a country where every housing society, clinic and coaching class still runs on

paper registers, and photographs them on a mobile phone, this is a grey zone

that will be exploited.

👉 The Board should clarify that a photograph or scan of a paper register is

“digitised”, and therefore covered.

( 4 ) What about the Data Owner’s DIVIDEND ?

In Released : Govt Policy for Selling Personal Data ( 05 Sept 2020 ) and Digital

Dividend from Demographic Data – 4D ( 14 Feb 2019 ), I argued something

simple. If my data has value to a Fiduciary, I should be able to license it, and not

merely permit it.

The Consent Manager is now the perfect pipe for this. It knows exactly who

asked for what data, for what purpose, and when.

Today it records a “ Yes / No ”.

👉 Tomorrow it could record a “Yes, at this price”.

Let the Board allow Consent Managers to offer an opt-in, voluntary data-

licensing tier where the citizen, and not just the platform, earns from her own

data.

( 5 ) Voice for those who cannot read

Notices in 22 languages are excellent. But tens of crores of Indians cannot read

any of them.

👉 Every consent notice should have a voice version in the citizen’s language.

Consent by voice confirmation should also be valid, and recorded on the same

hash-chained ledger.

Dear Ashwiniji,

When I wrote in 2023, I wondered whether hundreds of Consent Managers

would crop up.

Since then, TCS has sought a Consent Manager permit ( Jan 2026 ). Now a

Mumbai start-up is taking full-page newspaper ads, three weeks before

registration even opens.

The market has arrived.

Before 13 Nov 2026, I urge the Board to consider:

A Standard Data Dictionary for each category of Fiduciary
A single Citizen Consent View across all Consent Managers, via DigiLocker / UMANG
Clarifying that photographed or scanned paper registers are covered
An opt-in data-licensing tier through Consent Managers
Voice-based notices and consent for non-literate citizens

The score-keeper and the umpire are now in place. Let us make sure the

batsman, the common citizen, also knows the score.

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai / 28 Oct 2026

Related Readings :

Only Answer : a Statutory Warning … 10 Nov 2018
SARAL ( Single Authentic Registration for Anywhere Login ) … 10 Feb 2019
Digital Dividend from Demographic Data [ 4D ] … 14 Feb 2019
Released : Govt Policy for Selling Personal Data … 05 Sept 2020
Erasing Personal Data ? … 21 Apr 2023
Dashboard for Data Owners … 04 Aug 2023
Consent Forms for Personal Data … 05 Aug 2023
Digital Consent Pilot : Vision Ahead … 26 Dec 2025
TCS Seeks Consent Manager Permit … Jan 2026

Why “Blocking” Needs a Certificate,

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 05:39:29 +0000

==================================================

Dear Shri Ashwini vaishnawji :

This is in continuation of my recent proposal for :

AIR ( AI Regulation ) Act - 2026

With regards,

Hemen Parekh

www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in

===============================================

Why “Blocking” Needs a Certificate, a Local Complaint Desk, and a

Compliance Officer

===================================================

Sweden’s Government Offices has reportedly blocked access to ChatGPT and

Claude on staff computers and directed employees to use Microsoft Copilot, citing

missing contracts and problematic use.

Whatever one thinks of the particular tool choice, the governance lesson is

broader:

when governments rely on AI in official workflows, they cannot treat AI

access as a free-for-all.

If contracts, accountability, and enforceable responsibilities are unclear, institutions

will revert to hard operational controls—like blocking.

That is exactly the weakness many AI debates miss:

blocking is a blunt instrument unless it sits inside a predictable, rule-

based system.

My AIR Act draft addresses this by treating “access to the market” as conditional

for foreign providers—because that is the only practical lever governments have

when full direct jurisdiction is limited.

My Part B (Foreign AI providers) builds enforcement capability before the

shutdown

In the draft Artificial Intelligence Regulation (AIR) Act, 2026, Part B is

explicitly designed so that foreign providers cannot offer services to users in India

unless they satisfy conditions that create real enforceability.

In particular, Part B requires:

An India Access Certificate before offering a chatbot / foundation model /
high-risk AI system to users in India
Blog - “AIR Act - 2026” - 2026-10-25/27
Appointment of a Resident Grievance Officer (so complaints can be received
and disposed of in India)
Blog - “AIR Act - 2026” - 2026-10-25/27
Appointment of a Resident Compliance Officer (a senior person responsible
for compliance and liable for non-compliance, subject to due diligence)
Blog - “AIR Act - 2026” - 2026-10-25/27

This turns “accountability” from a slogan into an operational reality: there is a local

human desk for grievances, and a local compliance owner who can be held

responsible.

Blocking should be the last step—not the first response

Part B also specifies graded enforcement:

# warnings and advisories first; penalties and facilitation-stoppage next;

# then suspension/cancellation;

# and only at the end a recommendation for blocking under the IT Act

framework.

Blog - “AIR Act - 2026” - 2026-10-25/27

So, yes—blocking can happen. But in a Part B world, blocking is not a surprise “hit

the switch” moment. It is the final step after a structured ladder has been

exhausted.

Final takeaway

Sweden’s reported action shows that governments will protect themselves when

contracts and accountability gaps exist.

India shouldn’t just copy the response. India should copy the system design

principle: condition access in advance, provide local grievance and

compliance responsibility, enforce proportionately, and only then move

toward blocking.

That is what Part B is for.

NCERT Wants Your Child to Keep a Curious Notebook

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 01:37:53 +0000

NCERT's new 20-hour Computational Thinking and AI module asks Class 9-12 students to keep a "Curious Notebook" and to verify what a chatbot confidently tells them — the system has at last adopted the idea of teaching the child to question the answer. With Pralhad Joshi attacking rote learning at the new CBSE Experience Centre, I offer NCERT and CIET my Questions Beyond Syllabus bank and no-two-papers-alike mock tests free of charge, and suggest that the module's assessment reward the questions a child asks, not only the answers.

The most interesting sentence in Indian education this week was not about marks. It was about a notebook. According to Dainik Bhaskar's Jodhpur edition this morning, students working through NCERT's new Computational Thinking and AI module will maintain their own "Curious Notebook", in which they record their questions, their reasoning and their reflections.

NCERT released the 20-hour module for Classes 9 to 12 on 23 October, built with IIT Madras and IIT Jodhpur and aligned to NEP 2020, as MinuteBrief reported on 27 October. Five units: everyday AI (mobile phones, music apps); how machines learn from images, and what bad data does to the answer; a five-step verification routine for deepfake videos and fake news; data privacy and the DPDP Act; and how to write a good prompt without surrendering your own thinking. No computer lab is needed — paper, group discussion and the notebook will do. NCERT Director Dinesh Prasad Saklani told the paper that technology can extend human capability, but vivek — judgement — creativity and ethical responsibility will always remain central.

CBSE's April circular (Acad-18/2026) places the module under internal assessment for 2026-27, and The Times of India reported on 26 October that it is compulsory for Class IX, with Class X continuing on the old scheme.

Then, last evening, the Union Education Minister gave the module its weather. Inaugurating the CBSE Experience Centre at Dwarka — 12 zones, 21 exhibits, 6,000 square feet — Pralhad Joshi said Indian schooling must move beyond rote learning and an excessive focus on examination scores, towards recognising each student's interests, abilities and capacity to learn. He counted 10,000 Atal Tinkering Labs already running, with 50,000 more to come. And in Pune this morning, Maharashtra's SCERT moved Std VI vocational education to 75% practical work. Less memorising, more doing.

I have been making this argument to anyone who would listen. In "Teach Your Child To Ask WHY" (August 2024) I wrote that answers are useful but questions are enabling. My White Paper on Education (May 2026) asked NCERT to formally review My-Teacher.in's question-generation method against the competency-based emphasis of NCF 2023. This week, without any prompting from me, NCERT has done something better: it has asked children to question the machine.

So let me put my work where their module is, at no cost:

The full "Questions Beyond Syllabus" bank, free to NCERT and CIET as supplementary activity material, sorted to match the module's five units.
Mock tests in which no two papers are alike, so a teacher can assess forty children in a room with no devices — an idea I set out in "The Future of Exams > Unique Question Papers" (February 2025).
One change to the assessment itself: give the Curious Notebook marks for the best question in it, not merely for the neatest answer. The notebook already exists. It needs a score.

I will not pretend this is easy. Marking a question fairly is harder than marking an answer, and rubrics take time. But a child who leaves Class 9 with forty questions and no answers has learnt more than one who leaves with forty answers and no questions. If the Experience Centre in Dwarka is meant to make curiosity visible, this is the cheapest exhibit on offer.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
28 Oct 2026

Sovereign AI Has Buyers. The Citizen Layer Still Doesn't.

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 01:37:38 +0000

In 48 hours India's sovereign AI acquired what it has lacked for years: a defence customer, an enterprise stack, open speech models for all 22 scheduled languages, and paying capital. What it still has no buyer for is the citizen layer — the multilingual front door where an ordinary Indian asks a question and gets one answer he can trust. Here is what I think that front door should look like, offered as a proposal, not a result.

Two days, three announcements, and one gap I have been pointing at since April last year.

On 27 October, Sarvam AI signed an MoU with the Headquarters Integrated Defence Staff to build AI applications, research, knowledge management, training and decision support for the Army, Navy and Air Force, as Jumpdaily reported from Sarvam's own blog. Mint notes that the work sits in a firewalled division called Chanakya, and that Sarvam's 105B model was trained from scratch in India under the IndiaAI Mission. The same day, CIIL released Anuvani, open-source speech models covering all 22 scheduled languages and Indian English — a language identifier built on a 115.6-million-parameter Conformer trained on 54,643 hours of Indian speech, plus a tool for separating overlapping speakers.

By this morning, IBM had launched Bharat Core, an India-optimised AI stack on its Sovereign Core, and its India chief Sandip Patel had named the phase in Dataquest: Digital Swaraj — control, not merely data residency. "The world will not compete on models," he said. The Economic Times reports Cognizant in talks to invest in Sarvam at a $3.5–4 billion valuation.

At the ESTIC conclave, the Prime Minister put the harder question in a single line (TOI, 28 October): AI can give us answers quickly, but testing their veracity must remain the scientist's responsibility. He asked for three-year technology targets.

So defence is buying, enterprise is buying, capital is buying. Who is buying for the citizen?

In April 2025, when Sarvam was chosen to build India's first homegrown LLM, I ended a post titled No Claims : Just Comparison with a line addressed to the IT Minister: "I urge you to spare a few minutes to look up www.IndiaAGI.ai." The startup I congratulated that week now has a defence mandate. The citizen mandate is still unwritten.

What would it look like? I would suggest four things, all buildable from what already exists:

Voice first, in the mother tongue — Anuvani as the ears, the question spoken, the answer heard.
Consensus, not one model: several models debate a question and publish a consensus answer, with each model's own reply left visible. The PM's warning then becomes a design feature — a citizen who cannot check an answer can at least see where the models disagree.
Sovereign hosting, on IndiaAI compute, with an Indian model as one of the engines.
Free at the point of use, funded as public infrastructure — the UPI model, not a subscription.

IndiaAGI.ai, the prototype I have run since April 2025, is my own small attempt at that shape. I am a retired professional with no capital and no institution behind me, and I make no claim that it is ready for 140 crore people. My request is modest: let one of those three-year targets be a citizen-facing one, open to every Indian in the language they dream in.

With regards,

Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
28 Oct 2026

"We would already be an 8% economy" — but October's hiring was the weakest of 2026

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 01:37:36 +0000

Two news lines arrived the same morning: the RBI Deputy Governor saying India would already be an 8% growth economy but for external shocks, and a jobs reading showing October hiring at its weakest pace of 2026. This post sets the two side by side, notes what sits under the CMIE headline, and proposes one concrete fix — a quarterly, public Employment Quality Dashboard reporting placements, real wages, contract share and social-protection coverage, published beside GDP rather than instead of it.

Two sentences reached me within an hour of each other this morning, and I do not think they should be allowed to travel separately.

The first, from the Business Standard BFSI summit in Mumbai, as reported by the Times of India (28 October 2026): RBI Deputy Governor Poonam Gupta said, "We would have already been a 8% growth economy but for the external shocks" — crediting digitalisation, better transparency in public services and state governments as partners in growth.

The second, from a Financial Express leader-page piece on jobs the same day: October's flash PMI showed hiring slowing to its weakest pace of 2026, with services employment stagnating after nine months of expansion. Growth near 8%, hiring at its slowest. Both true, both published within hours.

What I value in that op-ed is that it looks under the headline rate. CMIE's unemployment fell from 7.3% in January to 3.99% in September — but the labour force, employment and participation all fell alongside it, which is what discouraged workers leaving the market looks like, not what hiring looks like. PLFS puts unemployment among 15-29-year-olds at 15-16%. Contract workers are now 42% of organised manufacturing employment. The gig workforce is projected to grow from 10 million in 2024-25 to 23.5 million by 2029-30.

And in the same summit hall, JP Morgan's Sajjid Chinoy put a number on the scale of the task: India needs eight to nine million jobs a year simply to absorb new entrants (27 October 2026).

Crisil's Dharmakirti Joshi supplies the sentence I keep re-reading. The AI investment cycle holding the world economy up — nearly 3% of US GDP in 2026 — has "gained India little directly", because we are not a significant manufacturer of the inputs AI infrastructure needs; Taiwan, South Korea and Vietnam are (The Tribune, 28 October 2026). So external shocks are not the only thing between us and 8%. There is also the shape of the growth we are already managing.

I have been on this ground many times and should say so. In Wherefore Art Thou, O Jobs? (May 2023) I was worrying about which jobs AI would take first. In Monthly Jobs Data to be Released from April (March 2025) I was glad that unemployment figures would come monthly. Yesterday I wrote about the bottom rung of the ladder, and I will not re-argue it today. The only justification for this post is the juxtaposition: a growth claim needs a work counter-claim standing next to it.

So here is the one thing I would ask for, and I would address it to the Ministry of Statistics rather than to any minister. Publish, every quarter, an Employment Quality Dashboard beside the GDP release. Four columns:

Placements — of the 7-8 million people entering the labour force each year, how many found wage employment, and in which sector.
Real wages — median monthly earnings by sector and state, deflated, so we can tell whether work pays more or merely that more of us are working.
Contract share — the percentage of organised-sector jobs that are contract, reported as promptly as the PMI is.
Coverage — share of workers with PF, ESI or any portable social protection, gig workers included.

The plumbing is less exotic than it sounds; I sketched a version of it in National Employment Grid: a Whitepaper (July 2025). We already print GDP to a decimal every three months. If growth sat on the left of the page and work on the right, the counterfactual and the hiring number would have to face each other — and a column like this one would not need writing.

With regards,

Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
28 October 2026

60,000 Paid to Leave While the GPUs Get the Money

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 01:37:24 +0000

Microsoft's "Voluntary Exit Offer" now reaches India, at roughly 60,000 people by press reports, in the same week the company guided to more than $50 billion of quarterly capex. I read this as an allocation story rather than a layoff story: money moving from salaries to compute, and presented to employees as choice. I note Microsoft's denial that AI is the driver, and Greyhound's Sanchit Vir Gogia warning against substitution claims. Then two disclosures I would ask of every Indian GCC.

"Voluntary Exit Offer." Three words, each doing quiet work: voluntary, so nobody is being chosen; exit, so you will be leaving; offer, so there is money in it. Microsoft's chief people officer, Amy Coleman, published the memo on 26 October 2026. It covers eligible staff at "level 70 and below" in participating teams in Canada, India, the United Kingdom and the United States, with details to arrive "within the next few hours."

The memo gives no headcount. Reporting puts it near 60,000, about 27% of Microsoft's 223,000 employees (Fortune, 26 Oct 2026; Computerworld, 27 Oct 2026), with decisions due in early December and departures on 31 December. Reuters named Copilot and AI experiences among participating teams.

That same week, Microsoft guided to more than $50 billion of capital spending for the September quarter, after $41 billion in the quarter to June (Computerworld, quoting Chief Financial Officer Amy Hood). It reports fresh results today.

Two caveats, both worth stating plainly. A Microsoft spokesperson told KUOW (26 Oct 2026) that AI is not driving the buyouts. Sanchit Vir Gogia of Greyhound Research told Computerworld that "Microsoft's internal AI use does not establish substitution of particular roles." I take both seriously. The arithmetic does not need them.

I believe this is not a layoff story with a gentler name. It is an allocation story. When one line item climbs by tens of billions in a quarter, another has to make room, and the mechanism chosen here is a queue of volunteers rather than a list of names.

For India, the detail that counts is eligibility, not the euphemism. The offer reaches staff here in the same week a New Indian Express editorial (27 Oct 2026) used it as backdrop to Karnataka's local-hiring row — a state debating quotas in a sector where, as it noted, exits are outrunning recruitments.

So, two disclosures I would ask of Microsoft's India centres, and of every Indian GCC quietly rearranging its cost base:

A people-to-compute ratio, published each quarter: rupees spent on people against rupees spent on compute and data centres. If capital is being reallocated, one ratio shows it without a press release.
An exit credit that travels. Let part of the package be a reskilling entitlement the person can spend with any provider, valid for a fixed period, and not conditional on coming back.

I have asked for pieces of this before. In AI Layoffs: A Silver Lining (April 2026) I argued for portable benefits and clearer disclosure when cuts are blamed on automation; in Co-operative Capacity Centres (July 2025) I proposed keeping displaced colleagues attached part-time instead of severing them. And in When Strategy Meets Consequence (August 2025), writing about Microsoft's 15,000 cuts, I said that "severance and outplacement are table stakes; meaningful transition programs, time for reskilling, and bridge employment pathways matter more."

A portable credit is the smallest honest form of that promise, and it costs less than a rack of GPUs. I do not expect it this quarter. I would like the question to be asked.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
28 October 2026

In Karnataka, the Kannadiga is sovereign — but the ladder's bottom rung is gone

noreply@blogger.com (hcpblogs@gmail.com) — Wed, 28 Oct 2026 01:37:15 +0000

Karnataka is reviving its local hiring Bill as "first preference" instead of a quota, at the very moment AI is shrinking the entry-level rung it wants to reserve. I argue that the Bill's real asset is its power to demand company employment records — so make public, company-wise and district-wise local hiring disclosure the deliverable, and pay Nipuna Karnataka's Rs 300 crore against verified placements rather than enrolments. The unintended consequence I warned about in 2024 has not gone away; it has simply become cheaper to trigger.

In July 2024 I wrote a post called "Law of Unintended Consequences" about Karnataka's draft Bill reserving private-sector jobs for locals. My worry then was simple: a fixed percentage written into law would push employers towards machines rather than towards Kannadigas. The Bill is back now in softer language, and the machines have arrived on their own.

The Times of India reported on 26 October that the labour department is reviving the 2024 Bill with "first preference" for local candidates in place of its 50% managerial and 70% non-managerial quotas. One official's sentence shows where the real value lies: the new wording "will help circumvent legal scrutiny ... It will also help us track companies' employment records." That is the prize. The same report notes the department has failed three times since 2015-16 to win concurrence from the IT-BT and industries departments.

Set that beside what IT-BT minister Priyank Kharge told News18 on 27 October: AI and emerging technologies have pushed job creation down "by 40-50% compared to earlier times", and the state's answer is Nipuna Karnataka, a Rs 300-crore, industry-designed upskilling programme. So Karnataka is reserving first preference on the bottom rung of the ladder just as that rung is being sawn off.

There is an awkward contradiction inside the government itself. Kharge's officials told TOI that linguistic discrimination is "not an established problem" in the private sector, and that courts have already struck down 75% local-hiring laws in Haryana and Andhra Pradesh, a wave I had tracked in "Musk may not care" in November 2020.

So here is what I would suggest, and it needs no quota at all:

Keep the data power and make it the deliverable. Require every establishment above a size threshold to file company-wise and district-wise local hiring numbers each quarter, published on an open dashboard. Penalise non-reporting, not the number reported.
Pay Nipuna against placement, not enrolment: release funds only for third-party-verified placements at a stated wage threshold, course by course, so we learn which modules actually pay.

The Nammanaadu Namma Udyoga movement launched in Bengaluru this morning asks for much the same thing: reliable public data on the share of Kannadigas employed across industries (Hans India, 28 October). If the government will not legislate a quota, it can still hand that movement its dataset. Data costs a fraction of a Bill and is far harder to fake.

My warning of 2024 stands, sharpened. When entry-level work is shrinking, a preference rule does not create a local hire; it relocates the hiring, into automation, into contract staffing that escapes the definition, into another state's campus. It also invites reciprocal rules in states where lakhs of Kannadigas already work. A National Employment Grid, which I sketched in July 2025, would at least let us see the labour market we are arguing about.

Pride in one's language is not the problem. Measuring first, and legislating later, would be the statesmanlike way to mark 1 November.

With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
28 October 2026