Hello again, and welcome back to Fast Company’s Plugged In.

It’s sometime after midnight on a Monday morning when Zach unlocks his phone and starts scrolling for something to bet on. He’s 26, tucked into his childhood bed at his parents’ house in Washington, D.C. He moved back in after a stint in Las Vegas that didn’t go as planned. The NFL is done for the night. The NBA’s late games have wrapped. Mainstream sports are fast asleep.

Five years ago, tech angel investor Chris Adamo and a few friends jumped on a burgeoning trend in the digital asset world: they used a virtual real estate broker to buy 23 parcels of property in a metaverse called The Sandbox. He doesn’t remember exactly how much he spent, but it was around $200,000 for the whole group. The real estate, to be clear, consisted of pixelated parcels in “hip,” “trendy” virtual “neighborhoods,” an asset that crypto bros and Web3 enthusiasts like Adamo saw as the future of tech and digital investment. At one point, it ballooned tenfold in value. Adamo was far from alone. Across the four major metaverse platforms, property sales topped $500 million in 2021.

In a new neighborhood in Helsinki, you can skip owning a car. One key part of the district’s design? A new bridge that’s part of the city’s growing bicycle superhighway network.

If you watched the Super Bowl in 2026, you likely saw Serena Williams share her weight-loss journey on GLP-1 medications in a commercial.

At the Aysaita Refugee Camp in northeastern Ethiopia’s Afar region, there are about 40,000 Eritreans struggling to meet their basic daily needs. For the 10,000 children younger than 10 who live in the camp, that includes one often overlooked resource: play.

At many refugee camps around the world, play can, understandably, become an afterthought as humanitarian organizations focus on delivering essentials like housing and food. But studies show that play is critical for helping kids develop executive motor function and relational skills. It’s also a key therapeutic tool for children who have experienced trauma. These insights inspired Playrise, a U.K.-based charity designing play structures for children living in disaster-relief sites around the world.

Work sucks for women. Not all women, but far too many. There’s the gender pay gap, where full-time working women earn 81 cents for every dollar men earn, according to the most recent data from the Census Bureau. There’s the glass ceiling that prevents women from leadership advancement, as evidenced by the fact that only 37% of leadership positions in the U.S. are held by women despite representing 47% of the workforce. Let us not forget the disproportionate harassment at work that women experience compared to men, the gender sidelining, and the exclusion from the “boys’ club.”

I tend to write about AI from the perspective of the bleeding edge, looking at how journalists and media companies are using the technology to change the way they work, reach new audiences, and transform their organizations. But the reality is that there’s a stigma around using artificial intelligence in the journalism community. In conversations I have with working reporters and editors, there’s clearly still a lot of reluctance, if not outright disdain, for using AI in almost any part of their work.

Despite Google’s status as one of the true giants of U.S. tech, it’s never quite been able to make its Pixel phones a mainstream success. 

Errands, Target runs, tennis games, and even flying to Europe—these are just some of the things employees have done while taking “soft off days.” 

Technology is making it easier for everyone to move faster. The important question is who will move in the right direction?

Professional workdays are full, fast, and designed for productivity, not recovery. In Microsoft’s 2025 Work Trend Index, 80% of global workers said they don’t have enough time or energy to do their work, and workers were interrupted about every two minutes during the day. That’s the experience of modern work: back-to-back meetings, endless emails and chats, and constant task-switching. The day doesn’t pause for you.

In 2025—not long after Trump fired off executive orders that targeted diversity, equity, and inclusion (DEI) programs in the workplace—the Justice Department announced the Civil Rights Fraud Initiative. Its purpose was to investigate companies and academic institutions that accepted money from the government, by invoking a federal law called the False Claims Act. This past week, IBM agreed to pay $17 million over claims that its DEI programs allegedly violated the law—the first instance of an employer settling a case that the government brought under this initiative. 

In 2002, 45% of the world’s top 250 companies reported on sustainability. Today, 96% do. Sustainability metrics that once differentiated companies have become the new baseline. This doesn’t mean sustainability has stalled. Rather, it has matured. As geopolitical and regulatory risks continue progressing, what it means to be a sustainable business is evolving. 

Election after election, Democratic strategist James Carville’s maxim, “It’s the economy, stupid!” has held true. But in coming political campaigns, candidates will encounter an especially virulent strain of economic anxiety—driven by artificial intelligence—that is proliferating among lower-wage, working Americans. 

Trader Joe’s is settling a class action lawsuit for more than $7 million, after a complaint claimed that the grocery giant printed 10 digits—the first six and last four—of customers’ debit and credit cards on transaction receipts.

Tax Day isn’t normally a cause for celebration. The annual due date for filing taxes usually comes with headache-inducing financial stress and mountains of difficult-to-decipher paperwork. But this year, Tax Day apparently came with an unexpected upside for some New Yorkers, thanks to an announcement from New York City Mayor Zohran Mamdani.

As tech’s titans sprint to build a sprawling web of data centers to power the AI boom, some cities and states are racing to stop them.

The challenges with AI adoption have little to do with the technology itself. In the work environment, the hardest part is bringing together a new orchestration model that fully integrates AI tools while ensuring teams both adopt and master new behaviors to deliver tangible results.

The same ChatGPT chatbot that gave OpenAI’s chief financial officer Sarah Friar a tilapia recipe for a recent Sunday night dinner at home is also now doing her most mundane tasks at work like summarizing her emails and Slack messages.