But it’s not all popcorn and subtitles. Preply’s team also mapped out the cinematic minefields for learners. Their scoring system flags movies with rapid-fire speech and complex vocabulary as trickier terrain. The Wandering Earth emerges as the toughest nut to crack, despite its sci-fi label that generally signals learner-friendly fare. The film’s futuristic setting and nuanced acting create hurdles that even advanced learners might stumble over. If you’re after smoother viewing, Preply’s research points to easier options, so there’s no need to feel discouraged.

The study doesn’t stop at a simple divide between easy and hard movies. It highlights specific titles, like Maleficent and The Hobbit: The Battle of the Five Armies, that score well for clarity and language simplicity. On the other end, Oppenheimer and Barbie make the difficult list, featuring dense vocabulary and a torrent of words that can be overwhelming. Even animated favorites can provide a challenge. Finding Dory, for example, is tougher than expected due to its talkative protagonist. If you’re aiming for English practice, fantasy adventures with quest or romance plots tend to be your best bet, offering helpful subtitles and manageable dialogue. So, whether you’re a beginner or brushing up, Preply’s study is a handy guide to choosing your next English-learning movie marathon.

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Not all nations share this hopeful outlook. The study reveals a marked hesitancy in parts of Western Europe, with Germany and France leading the ranks of skepticism. Nearly half of German respondents believe AI’s drawbacks outweigh its benefits, citing issues such as data security, privacy breaches, and the threat posed by deep fakes. Artists and creators in these regions worry about losing control of their intellectual property and the integrity of their work, as AI tools use their creations for training without consent. Environmental concerns, especially regarding water usage and the impact on the natural world, also fuel resistance.

This global map of attitudes underscores a fundamental divide: while some view AI as a revolutionary tool for human advancement, others see risks that demand careful scrutiny. Trust in AI is growing, but its acceptance is anything but universal. Qualtrics’ study offers valuable insight into how cultural, economic, and ethical perspectives shape the embrace or rejection of AI. As nations grapple with AI’s promises and pitfalls, the conversation remains dynamic, evolving alongside the technology itself.

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The facts tell us that the average customer churn rate in the U.S. is 21%. This might not sound catastrophic, but consider that new customers spend 67% less than returning customers, and now you can see the value of customer retention and loyalty. It also costs six times as much to acquire a new customer as to retain an existing one. Even a 5% decrease in churn can boost company revenue by 25 to 95%. These numbers prove that customer retention is well worth the investment.

Rates aren’t the same across industries. The tourism and hospitality industry has a whopping 45% churn rate, with retail close behind at 37%. It’s clear that some industries present unique challenges that others don’t have to face. The big-box electronics industry averages an 11% churn rate, and media industries have the lowest global churn rate at 16%. Social media apps can face enormous churn rates after 2 years. 93.3% of users leave after 24 months. Studying how churn rates change across industries can help us understand why churn happens and how to address it. 72% of customers switch to a competitor after a bad experience, which means customer satisfaction should be the priority for anyone who wants to reduce churn.

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According to their research, these are the brands with the biggest revenue gains:

•  Amazon: $95.22 billion
•  Alibaba: $21.76 billion
•  PDD Holdings: $13.77 billion
•  Jingdong Mall (JD.com): $5.69 billion
•  Mercado Libre: $2.82 billion

It’s no surprise to see Amazon rise to lofty ranks above even its biggest competitors. The company has accomplished nothing less than a world takeover, with a product catalog of millions, a robust suite of subscription services, and a delivery system renowned for efficiency.

On the other side of the chart, we find the e-commerce brands in the red. These are the brands that had the biggest losses in 2025:

•  Lightspeed POS: -$670 million
•  ASOS: -$500 million
•  Wayfair: -$320 million
•  Ocado: -$320 million
•  Boohoo Group: -$210 million

Lightspeed POS is a Canadian e-commerce company that offers point-of-sale services to businesses. The model relies on people purchasing their cloud-based software, a more difficult sales model than e-retail. Still, this company’s struggles are surprising, as experts and investors once saw this company as a rising star enjoying rapid gains. ASOS, a clothing retailer, and Wayfair, a home goods company, are popular brands with quite a bit of recognition, so it’s also surprising to see them in the red.

The graphics give us a sobering look at the harsh realities of e-commerce. The difference between Amazon’s profits and Lightspeed POS losses is light-years apart. This is a competitive industry with brands thriving and struggling in equal measure.

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Western states dominate the top rankings with Colorado, Arizona, and Nevada at the front of the pack. These states already have strong tech ecosystems, growing startup cultures, and workforces better prepared to adopt emerging AI technologies. The data also show that states that lead early adoption are more likely to expand their use of AI in the future.

Here are the ten states with the highest levels of AI adoption in the workplace:

•  Colorado
•  Arizona
•  Nevada
•  Utah
•  Washington
•  California
•  Texas
•  Maryland
•  Virginia
•  Georgia

In contrast, a handful of states are far behind in the AI adoption race, usually due to the prevalence of non-tech industries, limited digital infrastructure, and a workforce that isn’t trained to use this technology. The uneven distribution of AI adoption shows how geography and economics can influence technological progress.

Overall, AI adoption is low, except in the leading states. Only one in four businesses is actively using AI, even in these leading states. This suggests that while AI is gaining popularity, it’s still in the early stages of widespread use. The article’s map is the perfect complement, visually communicating adoption trends. It brings to life an evolving but uneven AI landscape with some regions pulling ahead of others.

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The team’s map reveals some clear regional trends. Many of the most expensive states for ownership are clustered on the coasts, particularly the Northeast and West Coast. These areas tend to have high population density, greater traffic congestion, and stricter regulations, all of which contribute to higher insurance premiums and operating costs. In contrast, some of the least expensive states are located in the Midwest and other parts of the South, where lower living costs and less traffic can help reduce vehicle ownership expenses.

Insurance is one of the biggest influences on the cost of driving in one state versus another. Areas with high accident rates, theft, and extreme weather drive up insurance premiums. Fuel prices are also a huge factor, especially in states with high taxes or fuel supply shortages. Maintenance and repair costs also have a modest influence, especially in locations with harsh winters or poor road conditions that accelerate a car’s wear and tear. We can see that states may rank highly due to high costs across the board rather than one extreme expense. This research reminds us that car ownership comes with myriad challenges and expenses, and that planning and budgeting can help us manage them.

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One of the most important factors the team examined was weather. Hail is one of the most dangerous weather conditions; it can cause damage to windows, paint, headlights, and other parts of the car’s body. Ice, sleet, and snow are dangerous too. When a car freezes, its internal components are more vulnerable to damage, and slippery road conditions always pose a major threat of damage. Believe it or not, sunny weather can be damaging too. Intense UV rays damage and degrade a car’s interior materials and ruin the paint job. Rain and humidity similarly take a toll on a car’s mechanics over time.

The state with the most damaging weather is Texas. This large state has a host of weather extremes, from frequent hailstorms to intense sunlight and periods of high humidity. Beyond extreme weather, the team calculated the prevalence of natural disasters, such as floods, that can destroy a car.

The team also considered whether a state is in the “Salt Belt”, meaning an area where roads are salted to combat ice in the cold season. Road salt is destructive to cars and can accelerate rust and corrosion. Even salty air by the coast can affect cars this way, so the team considered this too. Lastly, the team factored in fatalities from traffic accidents and the percentage of roads in acceptable condition to arrive at a fully rounded estimate of a state’s damage toll on vehicles.

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•  Annual Average Employment Level
•  Annual Average Number of Establishments
•  Annual Average Weekly Wage
•  Total Annual Wages

First, they examine computing infrastructure and data services. Somerset County, NJ, saw a huge jump in employment in this sector, and annual wages have jumped with it, showing why many cities welcome tech companies with open arms. The robust fiber networks in New Jersey have bolstered this sector.

Norfolk City, Virginia’s Norfolk Innovation Corridor, has led to the rise of several software firms. This has made the city the leader in the custom computer programming services sector. Bexar County in Texas proved itself to be the home of software publishing. Employment in this sector doubled in Bexar County, and its proximity to San Antonio, along with the lower cost of living, makes it an ideal spot to work in software publishing.

New Jersey emerges as a leader again in the web search portals and information services sector. Union and Essex County are particular hot spots, but there’s lots of local talent to choose from as it’s part of the New York metropolitan area. As for semiconductor manufacturing, the leader is Williamson County, Texas. After Samsung invested $17 billion in the area to build a semiconductor plant, the area has become the heart of U.S. production.

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The team powered their analysis with data on how many in each have a second job and how many non-employer businesses launched between 2022 and 2023. They mapped out color-coded results revealing areas where side gigs are booming. These are the states with the fastest growth:

•  Oregon
•  Nevada
•  Alaska
•  North Dakota
•  Hawaii
•  South Carolina
•  Delaware
•  Rhode Island
•  Virginia
•  Massachusetts

There were many common qualities in the highest-ranking states. Many of them had a high cost of living and/or a booming tourism economy. All around the U.S., the cost of living is rising faster than wage growth, so for many people, side gigs are the solution to make ends meet, particularly in states where food and housing cost more. Tourism-centric states create a high demand for side-gig workers who can make deliveries, offer rideshares, or manage short-term rentals.  In Alaska, tourism is a major driver, but harsh weather leads to seasonal work, leaving people seeking side jobs in the lean months.

Side gigs are the perfect solution for people who need to diversify their income. They offer flexible schedules, the ability to choose jobs, and, generally, a lot of freedom to put work in workers’ hands. There are challenges too, though. Gig work can be lonely and isolating, not a great fit for people who thrive in a social or collaborative environment. Competition for jobs can be fierce, depending on the location, leading to increased stress and unpaid efforts.

No matter what your opinion is on the gig economy, it seems here to stay, and it’s revolutionized the ways people earn their money. Anyone with aspirations to start a small business can make a strong start in the world of side gig work.

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With expanded trade came more refined tools. The Silk Road trading route led to Muslim merchants developing the “sakk”, an early version of today’s check. The Song Dynasty in China developed the first government-issued paper money to replace heavy coins.

During the Industrial Revolution, we see major turning points, like James Ritty’s cash register and receipt printing. The 20th century introduced barcodes and credit cards, then eventually PC-based transactions. The first bar-code scan occurred in 1974 when someone purchased a pack of Wrigley’s chewing gum.

The digital era ushered in the most rapidly changing innovations. The Internet introduced e-commerce, bringing a host of new challenges and needs. The Square app transformed smartphones into cash registers, enabling more people to start small businesses. Contactless payments became the norm. Biometric payments are the latest innovation with Pay by Touch and eye-scan payments. Michigan was the first state to offer eye-scan payment in 2023.

The article frames this as a story of societies solving problems of trust, security, and conventions. Modern point-of-sale systems reflect the human ability to devise creative problem-solving solutions and a business’s commitment to customer trust and safety.

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