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California wants to reduce traffic. The Newsom administration thinks AI can help

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California wants to reduce traffic. The Newsom administration thinks AI can help

Being stuck in traffic is a familiar problem for many Californians, but state officials want to harness the power of artificial intelligence to discover new solutions.

The California Department of Transportation, teaming up with other state agencies, is asking technology companies by Jan. 25 to propose generative AI tools that could help California reduce traffic and make roads safer, especially for pedestrians, cyclists and scooter riders. Generative AI tools such as ChatGPT can quickly produce text, images and other content, but the technology can also help workers brainstorm ideas.

The request shows how California is trying to tap into AI to improve government services at a time when lawmakers seek to safeguard against the technology’s potential risks. As Microsoft-backed OpenAI, Google and other tech giants roll out new AI-powered tools, the technology’s rapid pace of advancement has raised concerns about misinformation, job displacement, copyright infringement and privacy.

The state’s plan to potentially use artificial intelligence to help alleviate traffic jams stems from an executive order that Gov. Gavin Newsom signed in September about generative AI. As part of the order, the state also released a report outlining the benefits and risks of using AI in state government.

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California state agencies have access to a trove of valuable data, including from thousands of traffic sensors and cameras. Analyzing that data to quickly reduce traffic and improve safety can be challenging. The huge volume of data comes in various forms, such as photos, videos and text.

The state currently uses technology to help analyze traffic data, but the agencies rely heavily on workers to decide what to do to improve the flow of traffic in real time. Generative AI could come up with better solutions.

“It probably would change the strategy much, much faster than a human being will be able to do,” said Amy Tong, secretary of government operations for California.

There are many reasons why traffic jams happen, including crashes, debris in the roadway, major events that draw big crowds and bad weather. But there are also recurring issues that can make roads more congested, said California Secretary of Transportation Toks Omishakin.

For example, a narrow part of a road could hinder the flow of traffic. Workers could use generative AI to brainstorm solutions.

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“There’s potential for generative AI to actually help us better funnel traffic through those areas, instead of automatically thinking ‘Oh, let’s just widen the road. That’s the solution,’” he said.

Caltrans also wants to use generative AI to help achieve its vision of having zero road fatalities and serious injuries by 2050. Through analysis of crash sites, lighting conditions, traffic patterns and behavior of “vulnerable roadway users” such as pedestrians and cyclists, Caltrans says AI could help workers identify areas that are at higher risk for accidents and suggest safety measures.

“This proactive approach will enable transportation system operators and engineers to anticipate and address safety issues in advance or more quickly, rather than merely reacting to them after the fact,” a document outlining the problem Caltrans is trying to solve states.

As technology becomes more incorporated in state government work, Omishakin said he anticipates jobs will change but not be entirely replaced.

Companies are already using AI to analyze traffic patterns and the movement of people on the roads, including drivers and bicyclists. Google, for example, has a research initiative known as Project Green Light that cities such as Seattle are participating in that aims to improve the flow of traffic and reduce greenhouse gas emissions from cars on the road. As part of the project, Google uses AI to identify when engineers can adjust the timing of traffic lights and provides those recommendations to city officials.

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INRIX, a transportation analytics company, announced a new generative AI-powered product in November that could help cities better manage the flow of traffic. A report by the company found that Los Angeles in 2022 was the 6th-most congested city in the United States with delays costing drivers, on average, 95 lost hours and $1,601.

Technology also isn’t perfect and humans need to be in the mix to ensure that the AI system is using data from the right sources and not spewing out errors, Tong said. The state is also taking steps to limit potential data security and privacy issues. State data that vendors use in the AI systems have to be stored within Caltrans’ “managed cloud environments,” according to a document about the state proposal.

The state’s request for innovative ideas involves various steps that include the state evaluating the solutions the companies suggest. California, which faces a record $68-billion budget deficit, may then award a contract to companies. Other state agencies are also planning to ask businesses to provide ideas to help improve other state services, including call centers that help taxpayers, Tong said.

“We definitely have the budget constraint in mind, but at the same time, public safety is a high priority for the administration,” Tong said. “So that’s why we continue to explore these options.”

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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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