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AI is changing shopping. Will consumers buy in?

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AI is changing shopping. Will consumers buy in?

Carolyn Bennett remembers flipping through a yellow telephone book in the 1980s to find carpet stores and workers who refinished wood to help renovate her home.

Today, the 67-year-old uses a chatbot to help her shop. Bennett has turned to ChatGPT, which she refers to as “Chat,” to find vendors for a kitchen renovation project, compare heat pumps and weigh in on whether she should buy a convection oven.

The San Francisco resident could have browsed websites on Google, but she prefers using ChatGPT to save time.

“Any product that has multiple features that you want to compare across different products, I think it’s super helpful,” she said.

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The rising popularity of artificial intelligence-powered chatbots that can generate text and images is already changing the way people brainstorm ideas, write and research. Tech companies and payment services are also betting that AI will transform how people shop. They’re even experimenting with AI agents that can place orders on a customer’s behalf with their permission.

Google, Amazon and other major tech platforms envision a future where online shopping becomes even more personalized and proactive. But companies will also have to convince consumers to buy into the idea, ensuring them that they’re protecting their privacy and providing accurate results.

AI chatbots have spewed out incorrect or nonsensical information before. And shoppers might be reluctant to give control to AI agents, especially when it comes to handing them their credit card, some retail experts said.

“There’s a lot of concern about the reliability of these kinds of tools,” said Rachel Wolff, a retail and ecommerce analyst at eMarketer. “So you might not want to trust these agents fully to make decisions on your behalf.”

For now, AI shopping experiences are growing. Last month, OpenAI said it’s experimenting with new shopping features, including a way to see images and prices of several products along with links for people to buy the items.

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Perplexity, which introduced a new feature last year that allows subscribers to buy items through its chatbot, also teamed up with Visa to help improve its shopping experience in the future.

“Visa knows a lot about its customers, and if customers opt in, there can be that anonymized data sharing, so that the recommendations you get in Perplexity are in line with your kind of purchase and transaction history so you can get better quality answers,” said Dmitry Shevelenko, Perplexity’s chief business officer.

(The Los Angeles Times partners with Perplexity to generate summaries of ideas expressed in opinion pieces.)

These efforts are still early, but AI companies are also trying to differentiate themselves from rivals such as Amazon and Google that also have chatbots and AI shopping features. Both Perplexity and OpenAI note the products shown within their chatbots are not ads. The chatbots cite websites that review and rate mattresses, coffee makers and other products.

Google also is stepping up its AI shopping features as it competes with OpenAI. Last week, the search giant said in the coming months people will be able to use AI mode, a tool where people can ask questions and get answers like they would to a chatbot, to find and compare products. The tool is powered by Google’s AI model Gemini.

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Vidhya Srinivasan, who leads the Ads and Commerce teams at Google, said Monday in a press briefing before Google’s annual I/O developers conference that the company displays search results in AI mode based on what’s most relevant to questions people are asking.

Some of the results also highlighted reviews from websites, but Google has more than 50 billion product listings and that information gets refreshed.

“We’re doing even more personalization in this mode, where we get to personalize based on brands and styles,” Srinivasan said.

The Mountain View-based company is exploring and experimenting with ads in their AI shopping experiences. Google unveiled other AI shopping tools, including a way to try out clothes virtually and buy products when the price falls.

Visa executives say they envision a future in which AI agents will book plane tickets, hotel rooms and other services and products on behalf of the customer with their approval.

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Rajat Taneja, president of technology for Visa, said that people will be able to set limits around what an AI agent could purchase like when someone hands over their credit card to a friend, family member or assistant, to help them shop.

The San Francisco-based payment company, partnering with such AI companies as OpenAI, Perplexity and Anthropic, unveiled a new initiative in late April to enable AI agents to shop and buy products for people but that work is still being tested.

Product recommendations, he said, will only get more personalized in the future.

“They’re going to be different ways in which this will manifest itself, much like the analogy of the internet has evolved in so many different ways,” Taneja said. “The most important thing is we are all unique, in our likes, in our dislikes, in what we gravitate towards and what we buy.”

Consumers are already using generative AI for shopping, research shows. Adobe Analytics, which surveyed 5,000 U.S. consumers, said that 39% reported using generative AI for online shopping and 53% planned to do so this year. Shoppers used generative AI for research, product recommendations, deals and other shopping tasks, according to the survey.

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Capgemini Research Institute, which surveyed 12,000 adult consumers across 12 countries, found that 24% of consumers used generative AI in shopping experiences. The use was higher among Gen Z and millennials compared to Gen X and boomers. But the survey also found that consumer satisfaction with generative AI also fell.

Elliot Padfield, a 21-year-old growth marketing consultant in San Francisco, uses AI for other tasks but he says the shopping experience has fallen short. As a result, he doesn’t always trust a chatbot’s recommendations.

When he tried out shopping on Perplexity for the first time, his order never arrived but he was able to get a refund.

And while chatbots can provide a comparison of four types of wireless headphones, for example, he wants more information about how the recommendations fit his needs and priorities.

“I still have to guide the AI through supporting me in the way that I need it to,” he said. “I actually find it easier at that point to then just go to the retailer.”

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From going to the mall to shopping on websites or through social media, retail experts see generative AI as just another option for consumers.

Retailers will have to learn how to navigate chatbots that might not recommend their products. But AI could also level the playing field for small businesses, experts say, if the results aren’t based on optimizing for a search engine or buying a ton of ads.

Caroline Reppert, director of AI and Technology Policy at the National Retail Federation, said she thinks generative AI is here to stay. Ultimately retailers will meet consumers where they are, she said.

“The trend is kind of still emerging and we’ll see if it ends up being an enduring one,” Reppert said.

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Video: The Web of Companies Owned by Elon Musk

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Video: The Web of Companies Owned by Elon Musk

new video loaded: The Web of Companies Owned by Elon Musk

In mapping out Elon Musk’s wealth, our investigation found that Mr. Musk is behind more than 90 companies in Texas. Kirsten Grind, a New York Times Investigations reporter, explains what her team found.

By Kirsten Grind, Melanie Bencosme, James Surdam and Sean Havey

February 27, 2026

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Commentary: How Trump helped foreign markets outperform U.S. stocks during his first year in office

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Commentary: How Trump helped foreign markets outperform U.S. stocks during his first year in office

Trump has crowed about the gains in the U.S. stock market during his term, but in 2025 investors saw more opportunity in the rest of the world.

If you’re a stock market investor you might be feeling pretty good about how your portfolio of U.S. equities fared in the first year of President Trump’s term.

All the major market indices seemed to be firing on all cylinders, with the Standard & Poor’s 500 index gaining 17.9% through the full year.

But if you’re the type of investor who looks for things to regret, pay no attention to the rest of the world’s stock markets. That’s because overseas markets did better than the U.S. market in 2025 — a lot better. The MSCI World ex-USA index — that is, all the stock markets except the U.S. — gained more than 32% last year, nearly double the percentage gains of U.S. markets.

That’s a major departure from recent trends. Since 2013, the MSCI US index had bested the non-U.S. index every year except 2017 and 2022, sometimes by a wide margin — in 2024, for instance, the U.S. index gained 24.6%, while non-U.S. markets gained only 4.7%.

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The Trump trade is dead. Long live the anti-Trump trade.

— Katie Martin, Financial Times

Broken down into individual country markets (also by MSCI indices), in 2025 the U.S. ranked 21st out of 23 developed markets, with only New Zealand and Denmark doing worse. Leading the pack were Austria and Spain, with 86% gains, but superior records were turned in by Finland, Ireland and Hong Kong, with gains of 50% or more; and the Netherlands, Norway, Britain and Japan, with gains of 40% or more.

Investment analysts cite several factors to explain this trend. Judging by traditional metrics such as price/earnings multiples, the U.S. markets have been much more expensive than those in the rest of the world. Indeed, they’re historically expensive. The Standard & Poor’s 500 index traded in 2025 at about 23 times expected corporate earnings; the historical average is 18 times earnings.

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Investment managers also have become nervous about the concentration of market gains within the U.S. technology sector, especially in companies associated with artificial intelligence R&D. Fears that AI is an investment bubble that could take down the S&P’s highest fliers have investors looking elsewhere for returns.

But one factor recurs in almost all the market analyses tracking relative performance by U.S. and non-U.S. markets: Donald Trump.

Investors started 2025 with optimism about Trump’s influence on trading opportunities, given his apparent commitment to deregulation and his braggadocio about America’s dominant position in the world and his determination to preserve, even increase it.

That hasn’t been the case for months.

”The Trump trade is dead. Long live the anti-Trump trade,” Katie Martin of the Financial Times wrote this week. “Wherever you look in financial markets, you see signs that global investors are going out of their way to avoid Donald Trump’s America.”

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Two Trump policy initiatives are commonly cited by wary investment experts. One, of course, is Trump’s on-and-off tariffs, which have left investors with little ability to assess international trade flows. The Supreme Court’s invalidation of most Trump tariffs and the bellicosity of his response, which included the immediate imposition of new 10% tariffs across the board and the threat to increase them to 15%, have done nothing to settle investors’ nerves.

Then there’s Trump’s driving down the value of the dollar through his agitation for lower interest rates, among other policies. For overseas investors, a weaker dollar makes U.S. assets more expensive relative to the outside world.

It would be one thing if trade flows and the dollar’s value reflected economic conditions that investors could themselves parse in creating a picture of investment opportunities. That’s not the case just now. “The current uncertainty is entirely man-made (largely by one orange-hued man in particular) but could well continue at least until the US mid-term elections in November,” Sam Burns of Mill Street Research wrote on Dec. 29.

Trump hasn’t been shy about trumpeting U.S. stock market gains as emblems of his policy wisdom. “The stock market has set 53 all-time record highs since the election,” he said in his State of the Union address Tuesday. “Think of that, one year, boosting pensions, 401(k)s and retirement accounts for the millions and the millions of Americans.”

Trump asserted: “Since I took office, the typical 401(k) balance is up by at least $30,000. That’s a lot of money. … Because the stock market has done so well, setting all those records, your 401(k)s are way up.”

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Trump’s figure doesn’t conform to findings by retirement professionals such as the 401(k) overseers at Bank of America. They reported that the average account balance grew by only about $13,000 in 2025. I asked the White House for the source of Trump’s claim, but haven’t heard back.

Interpreting stock market returns as snapshots of the economy is a mug’s game. Despite that, at her recent appearance before a House committee, Atty. Gen. Pam Bondi tried to deflect questions about her handling of the Jeffrey Epstein records by crowing about it.

“The Dow is over 50,000 right now, she declared. “Americans’ 401(k)s and retirement savings are booming. That’s what we should be talking about.”

I predicted that the administration would use the Dow industrial average’s break above 50,000 to assert that “the overall economy is firing on all cylinders, thanks to his policies.” The Dow reached that mark on Feb. 6. But Feb. 11, the day of Bondi’s testimony, was the last day the index closed above 50,000. On Thursday, it closed at 49,499.50, or about 1.4% below its Feb. 10 peak close of 50,188.14.

To use a metric suggested by economist Justin Wolfers of the University of Michigan, if you invested $48,488 in the Dow on the day Trump took office last year, when the Dow closed at 48,448 points, you would have had $50,000 on Feb. 6. That’s a gain of about 3.2%. But if you had invested the same amount in the global stock market not including the U.S. (based on the MSCI World ex-USA index), on that same day you would have had nearly $60,000. That’s a gain of nearly 24%.

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Broader market indices tell essentially the same story. From Jan. 17, 2025, the last day before Trump’s inauguration, through Thursday’s close, the MSCI US stock index gained a cumulative 16.3%. But the world index minus the U.S. gained nearly 42%.

The gulf between U.S. and non-U.S. performance has continued into the current year. The S&P 500 has gained about 0.74% this year through Wednesday, while the MSCI World ex-USA index has gained about 8.9%. That’s “the best start for a calendar year for global stocks relative to the S&P 500 going back to at least 1996,” Morningstar reports.

It wouldn’t be unusual for the discrepancy between the U.S. and global markets to shrink or even reverse itself over the course of this year.

That’s what happened in 2017, when overseas markets as tracked by MSCI beat the U.S. by more than three percentage points, and 2022, when global markets lost money but U.S. markets underperformed the rest of the world by more than five percentage points.

Economic conditions change, and often the stock markets march to their own drummers. The one thing less likely to change is that Trump is set to remain president until Jan. 20, 2029. Make your investment bets accordingly.

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How the S&P 500 Stock Index Became So Skewed to Tech and A.I.

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How the S&P 500 Stock Index Became So Skewed to Tech and A.I.

Nvidia, the chipmaker that became the world’s most valuable public company two years ago, was alone worth more than $4.75 trillion as of Thursday morning. Its value, or market capitalization, is more than double the combined worth of all the companies in the energy sector, including oil giants like Exxon Mobil and Chevron.

The chipmaker’s market cap has swelled so much recently, it is now 20 percent greater than the sum of all of the companies in the materials, utilities and real estate sectors combined.

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What unifies these giant tech companies is artificial intelligence. Nvidia makes the hardware that powers it; Microsoft, Apple and others have been making big bets on products that people can use in their everyday lives.

But as worries grow over lavish spending on A.I., as well as the technology’s potential to disrupt large swaths of the economy, the outsize influence that these companies exert over markets has raised alarms. They can mask underlying risks in other parts of the index. And if a handful of these giants falter, it could mean widespread damage to investors’ portfolios and retirement funds in ways that could ripple more broadly across the economy.

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The dynamic has drawn comparisons to past crises, notably the dot-com bubble. Tech companies also made up a large share of the stock index then — though not as much as today, and many were not nearly as profitable, if they made money at all.

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How the current moment compares with past pre-crisis moments

To understand how abnormal and worrisome this moment might be, The New York Times analyzed data from S&P Dow Jones Indices that compiled the market values of the companies in the S&P 500 in December 1999 and August 2007. Each date was chosen roughly three months before a downturn to capture the weighted breakdown of the index before crises fully took hold and values fell.

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The companies that make up the index have periodically cycled in and out, and the sectors were reclassified over the last two decades. But even after factoring in those changes, the picture that emerges is a market that is becoming increasingly one-sided.

In December 1999, the tech sector made up 26 percent of the total.

In August 2007, just before the Great Recession, it was only 14 percent.

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Today, tech is worth a third of the market, as other vital sectors, such as energy and those that include manufacturing, have shrunk.

Since then, the huge growth of the internet, social media and other technologies propelled the economy.

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Now, never has so much of the market been concentrated in so few companies. The top 10 make up almost 40 percent of the S&P 500.

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How much of the S&P 500 is occupied by the top 10 companies

With greater concentration of wealth comes greater risk. When so much money has accumulated in just a handful of companies, stock trading can be more volatile and susceptible to large swings. One day after Nvidia posted a huge profit for its most recent quarter, its stock price paradoxically fell by 5.5 percent. So far in 2026, more than a fifth of the stocks in the S&P 500 have moved by 20 percent or more. Companies and industries that are seen as particularly prone to disruption by A.I. have been hard hit.

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The volatility can be compounded as everyone reorients their businesses around A.I, or in response to it.

The artificial intelligence boom has touched every corner of the economy. As data centers proliferate to support massive computation, the utilities sector has seen huge growth, fueled by the energy demands of the grid. In 2025, companies like NextEra and Exelon saw their valuations surge.

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The industrials sector, too, has undergone a notable shift. General Electric was its undisputed heavyweight in 1999 and 2007, but the recent explosion in data center construction has evened out growth in the sector. GE still leads today, but Caterpillar is a very close second. Caterpillar, which is often associated with construction, has seen a spike in sales of its turbines and power-generation equipment, which are used in data centers.

One large difference between the big tech companies now and their counterparts during the dot-com boom is that many now earn money. A lot of the well-known names in the late 1990s, including Pets.com, had soaring valuations and little revenue, which meant that when the bubble popped, many companies quickly collapsed.

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Nvidia, Apple, Alphabet and others generate hundreds of billions of dollars in revenue each year.

And many of the biggest players in artificial intelligence these days are private companies. OpenAI, Anthropic and SpaceX are expected to go public later this year, which could further tilt the market dynamic toward tech and A.I.

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Methodology

Sector values reflect the GICS code classification system of companies in the S&P 500. As changes to the GICS system took place from 1999 to now, The New York Times reclassified all companies in the index in 1999 and 2007 with current sector values. All monetary figures from 1999 and 2007 have been adjusted for inflation.

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