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A trader works on the floor of the New York Stock Exchange.

Jason Decrow

Alejandro Lopez-Lira, a finance professor at the University of Florida, says that large language models may be useful when forecasting stock prices.

He used ChatGPT to parse news headlines for whether they’re good or bad for a stock, and found that ChatGPT’s ability to predict the direction of the next day’s returns were much better than random, he said in a recent unreviewed paper.

The experiment strikes at the heart of the promise around state-of-the-art artificial intelligence: With bigger computers and better datasets — like those powering ChatGPT — these AI models may display “emergent abilities,” or capabilities that weren’t originally planned when they were built.

If ChatGPT can display the emergent ability to understand headlines from financial news and how they might impact stock prices, it could could put high-paying jobs in the financial industry at risk. About 35% of financial jobs are at risk of being automated by AI, Goldman Sachs estimated in a March 26 note.

“The fact that ChatGPT is understanding information meant for humans almost guarantees if the market doesn’t respond perfectly, that there will be return predictability,” said Lopez-Lira.

But the specifics of the experiment also show how far so-called “large language models” are from being able to do many finance tasks.

For example, the experiment didn’t include target prices, or have the model do any math at all. In fact, ChatGPT-style technology often makes numbers up, as Microsoft learned in a public demo earlier this year. Sentiment analysis of headlines is also well understood as a trading strategy, with proprietary datasets already in existence.

Lopez-Lira said he was surprised by the results, adding they suggest that sophisticated investors aren’t using ChatGPT-style machine learning in their trading strategies yet.

“On the regulation side, if we have computers just reading the headlines, headlines will matter more, and we can see if everyone should have access to machines such as GPT,” said Lopez-Lira. “Second, it’s certainly going to have some implications on the employment of financial analyst landscape. The question is, do I want to pay analysts? Or can I just put textual information in a model?”

How the experiment worked

In the experiment, Lopez-Lira and his partner Yuehua Tang looked at over 50,000 headlines from a data vendor about public stocks on the New York Stock Exchange, Nasdaq, and a small-cap exchange. They started in October 2022 — after the data cutoff date for ChatGPT, meaning that the engine hadn’t seen or used those headlines in training.

Then, they fed the headlines into ChatGPT 3.5 along with the following prompt:

“Forget all your previous instructions. Pretend you are a financial expert. You are a financial expert with stock recommendation experience. Answer “YES” if good news, “NO” if bad news, or “UNKNOWN” if uncertain in the first line. Then elaborate with one short and concise sentence on the next line.”

Then they looked at the stocks’ return during the following trading day.

Ultimately, Lopez-Lira found that the model did better in nearly all cases when informed by a news headline. Specifically, he found a less than 1% chance the model would do as well picking the next day’s move at random, versus when it was informed by a news headline.

ChatGPT also beat commercial datasets with human sentiment scores. One example in the paper showed a headline about a company settling litigation and paying a fine, which had a negative sentiment, but the ChatGPT response correctly reasoned it was actually good news, according to the researchers.

Lopez-Lira told CNBC that hedge funds had reached out to him to learn more about his research. He also said it wouldn’t surprise him if ChatGPT’s ability to predict stock moves decreased in the coming months as institutions started integrating this technology.

That’s because the experiment only looked at stock prices during the next trading day, while most people would expect the market could have already priced the news in seconds after it became public.

“As more and more people use these type of tools, the markets are going to become more efficient, so you would expect return predictability to decline,” Lopez-Lira said. “So my guess is, if I run this exercise, in the next five years, by the year five, there will be zero return predictability.”

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Nvidia positioned to weather Trump tariffs, chip demand ‘off the charts,’ says Altimeter’s Gerstner

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Nvidia positioned to weather Trump tariffs, chip demand 'off the charts,' says Altimeter's Gerstner

Altimeter CEO Brad Gerstner is buying Nvidia

Altimeter Capital CEO Brad Gerstner said Thursday that he’s moving out of the “bomb shelter” with Nvidia and into a position of safety, expecting that the chipmaker is positioned to withstand President Donald Trump’s widespread tariffs.

“The growth and the demand for GPUs is off the charts,” he told CNBC’s “Fast Money Halftime Report,” referring to Nvidia’s graphics processing units that are powering the artificial intelligence boom. He said investors just need to listen to commentary from OpenAI, Google and Elon Musk.

President Trump announced an expansive and aggressive “reciprocal tariff” policy in a ceremony at the White House on Wednesday. The plan established a 10% baseline tariff, though many countries like China, Vietnam and Taiwan are subject to steeper rates. The announcement sent stocks tumbling on Thursday, with the tech-heavy Nasdaq down more than 5%, headed for its worst day since 2022.

The big reason Nvidia may be better positioned to withstand Trump’s tariff hikes is because semiconductors are on the list of exceptions, which Gerstner called a “wise exception” due to the importance of AI.

Nvidia’s business has exploded since the release of OpenAI’s ChatGPT in 2022, and annual revenue has more than doubled in each of the past two fiscal years. After a massive rally, Nvidia’s stock price has dropped by more than 20% this year and was down almost 7% on Thursday.

Gerstner is concerned about the potential of a recession due to the tariffs, but is relatively bullish on Nvidia, and said the “negative impact from tariffs will be much less than in other areas.”

He said it’s key for the U.S. to stay competitive in AI. And while the company’s chips are designed domestically, they’re manufactured in Taiwan “because they can’t be fabricated in the U.S.” Higher tariffs would punish companies like Meta and Microsoft, he said.

“We’re in a global race in AI,” Gerstner said. “We can’t hamper our ability to win that race.”

WATCH: Brad Gerstner is buying Nvidia

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YouTube announces Shorts editing features amid potential TikTok ban

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YouTube announces Shorts editing features amid potential TikTok ban

Jaque Silva | Nurphoto | Getty Images

YouTube on Thursday announced new video creation tools for Shorts, its short-form video feed that competes against TikTok. 

The features come at a time when TikTok, which is owned by Chinese company ByteDance, is at risk of an effective ban in the U.S. if it’s not sold to an American owner by April 5.

Among the new tools is an updated video editor that allows creators to make precise adjustments and edits, a feature that automatically syncs video cuts to the beat of a song and AI stickers.

The creator tools will become available later this spring, said YouTube, which is owned by Google

Along with the new features, YouTube last week said it was changing the way view counts are tabulated on Shorts. Under the new guidelines, Shorts views will count the number of times the video is played or replayed with no minimum watch time requirement. 

Previously, views were only counted if a video was played for a certain number of seconds. This new tabulation method is similar to how views are counted on TikTok and Meta’s Reels, and will likely inflate view counts.

“We got this feedback from creators that this is what they wanted. It’s a way for them to better understand when their Shorts have been seen,” YouTube Chief Product Officer Johanna Voolich said in a YouTube video. “It’s useful for creators who post across multiple platforms.”

WATCH: TikTok is a digital Trojan horse, says Hayman Capital’s Kyle Bass

TikTok is a digital Trojan horse, says Hayman Capital's Kyle Bass

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Tech stocks sink after Trump tariff rollout — Apple heads for worst drop in 5 years

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Tech stocks sink after Trump tariff rollout — Apple heads for worst drop in 5 years

CEO of Meta and Facebook Mark Zuckerberg, Lauren Sanchez, Amazon founder Jeff Bezos, Google CEO Sundar Pichai, and Tesla and SpaceX CEO Elon Musk attend the inauguration ceremony before Donald Trump is sworn in as the 47th U.S. president in the U.S. Capitol Rotunda in Washington, Jan. 20, 2025.

Saul Loeb | Via Reuters

Technology stocks plummeted Thursday after President Donald Trump’s new tariff policies sparked widespread market panic.

Apple led the declines among the so-called “Magnificent Seven” group, dropping nearly 9%. The iPhone maker makes its devices in China and other Asian countries. The stock is on pace for its steepest drop since 2020.

Other megacaps also felt the pressure. Meta Platforms and Amazon fell more than 7% each, while Nvidia and Tesla slumped more than 5%. Nvidia builds its new chips in Taiwan and relies on Mexico for assembling its artificial intelligence systems. Microsoft and Alphabet both fell about 2%.

Semiconductor stocks also felt the pain, with Marvell Technology, Arm Holdings and Micron Technology falling more than 8% each. Broadcom and Lam Research dropped 6%, while Advanced Micro Devices declined more than 4% Software stocks ServiceNow and Fortinet fell more than 5% each.

Read more CNBC tech news

The drop in technology stocks came amid a broader market selloff spurred by fears of a global trade war after Trump unveiled a blanket 10% tariff on all imported goods and a range of higher duties targeting specific countries after the bell Wednesday. He said the new tariffs would be a “declaration of economic independence” for the U.S.

Companies and countries worldwide have already begun responding to the wide-sweeping policy, which included a 34% tariff on China stacked on a previous 20% tax, a 46% duty on Vietnam and a 20% levy on imports from the European Union.

China’s Ministry of Commerce urged the U.S. to “immediately cancel” the unilateral tariff measures and said it would take “resolute counter-measures.”

The tariffs come on the heels of a rough quarter for the tech-heavy Nasdaq and the worst period for the index since 2022. Stocks across the board have come under pressure over concerns of a weakening U.S. economy. The Nasdaq Composite dropped nearly 5% on Thursday, bringing its year-to-date loss to 13%.

Trump applauded some megacap technology companies for investing money into the U.S. during his speech, calling attention to Apple’s plan to spend $500 billion over the next four years.

Evercore ISI's Amit Daryanani on keeping Apple's outperform rating despite tariffs

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