Finance
JPMorgan Chase rolls out AI assistant powered by ChatGPT-maker OpenAI
JPMorgan Chase has rolled out a generative artificial intelligence assistant to tens of thousands of its employees in recent weeks, the initial phase of a broader plan to inject the technology throughout the sprawling financial giant.
The program, called LLM Suite, is already available to more than 60,000 employees, helping them with tasks like writing emails and reports. The software is expected to eventually be as ubiquitous within the bank as the videoconferencing program Zoom, people with knowledge of the plans told CNBC.
Rather than developing its own AI models, JPMorgan designed LLM Suite to be a portal that allows users to tap external large language models — the complex programs underpinning generative AI tools — and launched it with ChatGPT maker OpenAI’s LLM, said the people.
“Ultimately, we’d like to be able to move pretty fluidly across models depending on the use cases,” Teresa Heitsenrether, JPMorgan’s chief data and analytics officer, said in an interview. “The plan is not to be beholden to any one model provider.”
The move by JPMorgan, the largest U.S. bank by assets, shows how quickly generative AI has swept through American corporations since the arrival of ChatGPT in late 2022. Rival bank Morgan Stanley has already released a pair of OpenAI-powered tools for its financial advisors. And consumer tech giant Apple said in June that it was integrating OpenAI models into the operating system of hundreds of millions of its consumer devices, vastly expanding its reach.
The technology — hailed by some as the “Cognitive Revolution” in which tasks formerly done by knowledge workers will be automated — could be as important as the advent of electricity, the printing press and the internet, JPMorgan CEO Jamie Dimon said in April.
It will likely “augment virtually every job” at the bank, Dimon said. JPMorgan had about 313,000 employees as of June.
ChatGPT ban
The bank is giving employees what is essentially OpenAI’s ChatGPT in a JPMorgan-approved wrapper more than a year after it restricted employees from using ChatGPT. That’s because JPMorgan didn’t want to expose its data to external providers, Heitsenrether said.
“Since our data is a key differentiator, we don’t want it being used to train the model,” she said. “We’ve implemented it in a way that we can leverage the model while still keeping our data protected.”
The bank has introduced LLM Suite broadly across the company, with groups using it in JPMorgan’s consumer division, investment bank, and asset and wealth management business, the people said. It can help employees with writing, summarizing lengthy documents, problem solving using Excel, and generating ideas.
But getting it on employees’ desktops is just the first step, according to Heitsenrether, who was promoted in 2023 to lead the bank’s adoption of the red-hot technology.
“You have to teach people how to do prompt engineering that is relevant for their domain to show them what it can actually do,” Heitsenrether said. “The more people get deep into it and unlock what it’s good at and what it’s not, the more we’re starting to see the ideas really flourishing.”
The bank’s engineers can also use LLM Suite to incorporate functions from external AI models directly into their programs, she said.
‘Exponentially bigger’
JPMorgan has been working on traditional AI and machine learning for more than a decade, but the arrival of ChatGPT forced it to pivot.
Traditional, or narrow, AI performs specific tasks involving pattern recognition, like making predictions based on historical data. Generative AI is more advanced, however, and trains models on vast data sets with the goal of pattern creation, which is how human-sounding text or realistic images are formed.
The number of uses for generative AI are “exponentially bigger” than previous technology because of how flexible LLMs are, Heitsenrether said.
The bank is testing many cases for both forms of AI and has already put a few into production.
JPMorgan is using generative AI to create marketing content for social media channels, map out itineraries for clients of the travel agency it acquired in 2022 and summarize meetings for financial advisors, she said.
The consumer bank uses AI to determine where to place new branches and ATMs by ingesting satellite images and in call centers to help service personnel quickly find answers, Heitsenrether said.
In the firm’s global-payments business, which moves more than $8 trillion around the world daily, AI helps prevent hundreds of millions of dollars in fraud, she said.
But the bank is being more cautious with generative AI that directly touches upon the individual customer because of the risk that a chatbot gives bad information, Heitsenrether said.
Ultimately, the generative AI field may develop into “five or six big foundational models” that dominate the market, she said.
The bank is testing LLMs from U.S. tech giants as well as open source models to onboard to its portal next, said the people, who declined to be identified speaking about the bank’s AI strategy.
Friend or foe?
Heitsenrether charted out three stages for the evolution of generative AI at JPMorgan.
The first is simply making the models available to workers; the second involves adding proprietary JPMorgan data to help boost employee productivity, which is the stage that has just begun at the company.
The third is a larger leap that would unlock far greater productivity gains, which is when generative AI is powerful enough to operate as autonomous agents that perform complex multistep tasks. That would make rank-and-file employees more like managers with AI assistants at their command.
The technology will likely empower some workers while displacing others, changing the composition of the industry in ways that are hard to predict.
Banking jobs are the most prone to automation of all industries, including technology, health care and retail, according to consulting firm Accenture. AI could boost the sector’s profits by $170 billion in just four years, Citigroup analysts said.
People should consider generative AI “like an assistant that takes away the more mundane things that we would all like to not do, where it can just give you the answer without grinding through the spreadsheets,” Heitsenrether said.
“You can focus on the higher-value work,” she said.
— CNBC’s Leslie Picker contributed to this report.
The Exchange Square Complex, which houses the Hong Kong Stock Exchange, on Feb. 26, 2025.
Bloomberg | Bloomberg | Getty Images
BEIJING — Chinese companies are jumping at a window of opportunity to go public in Hong Kong as global investors start to return to the region, following the news of DeepSeek’s artificial intelligence breakthrough in late January.
It’s a level of excitement that has not been felt for more than three years, despite the overhang of U.S. trade tensions. Initial public offerings are a lucrative way for early investors in startups to exit and reap a return.
“Everyone is working so perfectly together. IPO candidates, the investor and the regulators,” said George Chan, global IPO leader at EY. “All these three parties are working so perfectly at this moment to actually cultivate a healthy Hong Kong IPO market.”
“The U.S. long-term fund has returned. It shows investors are getting more confident [about] China,” he said, adding that post-IPO performance has also been encouraging.
Chinese bubble tea giant Mixue went public on March 3 in a highly oversubscribed Hong Kong listing. And in a sign of more to come, Chinese battery giant Contemporary Amperex Technology (CATL) filed in February for what could be Hong Kong’s largest IPO since 2021, when short-video company Kuaishou listed.
News of China-based DeepSeek’s claims to rival OpenAI’s ChatGPT in reasoning capabilities at a lower cost — despite U.S. restrictions on Chinese access to advanced chips for training AI models — hit global tech stocks in late January, while spurring a rally in China. Hong Kong’s Hang Seng index surged to three-year highs.
Chinese President Xi Jinping also held a rare meeting with tech entrepreneurs in February, and Beijing has signaled greater support for the private sector, after taking a more restrictive stance in recent years.
Six initial public offerings in Hong Kong raised more than 1 billion Hong Kong dollars ($130 million) in the first quarter — a jump from just one listing of that size in the year-ago period — according to KPMG.
In all, the consultancy said, Hong Kong saw 15 IPOs in all of the first quarter which raised 17.7 billion HKD — the best start to a year since 2021.
There’s still a long way to go before recovering to that level. Hong Kong saw 32 IPOs in the first quarter of 2021 that raised a whopping 132.7 billion HKD, according to KPMG.
The Hong Kong stock exchange has adjusted its listing rules in the interim, including ones that support companies already listed in mainland China to offer shares in Hong Kong.
In addition to CATL, other companies listed in mainland China — Hengrui Pharmaceuticals, Mabwell, Haitian Flavoring and Food, Fortior Tech and Sanhua Intelligent Controls — are “actively seeking Hong Kong listings,” said Tiger Brokers, an underwriter of many Chinese companies’ IPOs in the U.S. and Hong Kong.
“Chinese regulators are encouraging companies to list in Hong Kong to broaden financing channels and support the outbound merger and acquisition needs of Chinese enterprises,” the firm said.
Still not out of the woods
Back in the summer of 2021, the fallout over Chinese ride-hailing company Didi’s IPO in the U.S. prompted both countries’ regulators to scrutinize what was then a wave of Chinese companies listing in New York.
The major issues have since been resolved and Beijing has clarified rules for Chinese companies wanting to list outside the mainland. But the Trump administration indicated in its “America First Investment Policy” that it could increase scrutiny on U.S. capital flowing to China, on top of heightened tariffs.
The U.S. and China have yet to indicate when their two leaders might meet in an attempt to forge a deal. A surge of interest in AI and tech are also not yet enough to speed up a recovery in China’s economy.
“At this point in time, all we can see is the good indicators,” EY’s Chan said. But “there could be one single incident happening which could pretty much reverse the trend.”
“Things tend to have a pattern,” he said. “If things can keep on for three months, four months, it will likely continue for the rest of the year.”
Finance
Treasury Secretary Bessent says market woes are more about tech stock sell-off than Trump’s tariffs
Treasury Secretary Scott Bessent speaks to reporters outside the West Wing after doing a television interview on the North Lawn of the White House on March 13, 2025 in Washington, DC.
Andrew Harnik | Getty Images
Treasury Secretary Scott Bessent said Wednesday the sell-off in the stock market is due more to a sharp pullback in the biggest technology stocks instead of the protectionist policies coming from the Trump administration.
“I’m trying to be Secretary of Treasury, not a market commentator. What I would point out is that especially the Nasdaq peaked on DeepSeek day so that’s a Mag 7 problem, not a MAGA problem,” Bessent said on Bloomberg TV Wednesday evening.
Bessent was referring to Chinese AI startup DeepSeek, whose new language models sparked a rout in U.S. technology stocks in late January. The emergence of DeepSeek’s highly competitive and potentially much cheaper models stoked doubts about the billions that the big U.S. tech companies are spending on AI.
The so-called Magnificent 7 stocks — Apple, Amazon, Tesla, Alphabet, Microsoft, Meta and Nvidia — started selling off drastically, pulling the tech-heavy Nasdaq Composite into correction territory. The tech-heavy benchmark is down about 13% from its record high reached on December 16.
However, the secretary downplayed the impact from President Donald Trump’s steep tariffs, which caught many investors off guard and fueled fears of a re-acceleration in inflation, slower economic growth and even a recession. Many investors have blamed the tariff rollout for driving the S&P 500 briefly into correction territory from its record reached in late February. Wall Street defines a correction as a drop of 10% from a recent high.
S&P 500, YTD
Trump signed an aggressive “reciprocal tariff” policy at the White House Wednesday evening, slapping duties of at least 10% and even higher for some countries. The actions sparked a huge sell-off in the stock market overnight, with the S&P 500 futures declining nearly 4% and the blue-chip Dow Jones Industrial Average shedding 1,100 points. The losses will likely but the S&P 500 back into correction territory in Thursday’s session.
“It’s going to be fine if we put the best economic conditions in place,” Bessent said in a separate interview on Fox Wednesday evening. “If you go back and look, the stock market actually peaked on the [DeepSeek] Chinese AI announcement. So a lot of what we have seen has been just an idiosyncratic tech sell-off.”
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