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.
Check out the companies making headlines in midday trading: T-Mobile — Shares pulled back 11% after the company’s wireless subscribers for the first quarter missed Wall Street estimates. T-Mobile reported 495,000 postpaid phone additions in the first-quarter, while analysts polled by StreetAccount were looking for 504,000. Alphabet — The Google parent company gained about 2% on the heels of better-than-expected first-quarter results . Alphabet reported $2.81 per share on revenue of $90.23 billion, while analysts polled by LSEG forecast $2.01 in earnings per share and $89.12 billion in revenue. Skechers — Shares fell 4.8% after the footwear maker posted weaker-than-expected revenue for the first quarter and withdrew its 2025 guidance due to ” macroeconomic uncertainty stemming from global trade policies .” The company’s earnings for the quarter came in above analysts’ estimates, however. Gilead Sciences — The biopharmaceutical stock fell 2.5% after first-quarter revenue came in at $6.67 billion, missing the consensus forecast of $6.81 billion from analysts polled by LSEG. However, the company earned $1.81 per share, excluding items, in the quarter, beating Wall Street’s estimate of $1.79 a share. Saia — Shares of the shipping company fell 31% after first-quarter results missed estimates and showed a slowdown in March. Saia reported $1.86 in earnings per share on $787.6 million in revenue. Analysts surveyed by FactSet were expecting $2.76 in earnings per share on $812.8 million in revenue. BMO Capital Markets downgraded the stock to market perform from outperform and said the issues were “company specific.” Intel — The chipmaker declined 7% after Intel’s current quarter missed investors’ expectations. Intel forecast revenue in the June quarter of $11.8 billion at the midpoint, while consensus forecasts called for $12.82 billion, per LSEG. Management anticipates earnings will break even. Intel also announced plans to reduce both its operational and capital expenses. Boston Beer — Shares of the Samuel Adams brewer were more than 1% higher after better-than-expected first-quarter results. Boston Beer notched earnings per share of $2.16 on revenue of $453.9 million, while analysts polled by FactSet were looking for 56 cents per share on revenue of $435.6 million. Boston Beer cautioned that tariffs could hurt full-year earnings. Tesla — The Elon Musk-helmed electric vehicle company surged 10%. Shares have advanced more than 17% this week as the broader market tries to recover from a steep sell-off for much of April. — CNBC’s Jesse Pound, Alex Harring and Sean Conlon contributed reporting. Get Your Ticket to Pro LIVE Join us at the New York Stock Exchange! Uncertain markets? Gain an edge with CNBC Pro LIVE , an exclusive, inaugural event at the historic New York Stock Exchange. In today’s dynamic financial landscape, access to expert insights is paramount. As a CNBC Pro subscriber, we invite you to join us for our first exclusive, in-person CNBC Pro LIVE event at the iconic NYSE on Thursday, June 12. Join interactive Pro clinics led by our Pros Carter Worth, Dan Niles and Dan Ives, with a special edition of Pro Talks with Tom Lee. You’ll also get the opportunity to network with CNBC experts, talent and other Pro subscribers during an exciting cocktail hour on the legendary trading floor. Tickets are limited!
Check out the companies making headlines before the bell: Meta Platforms — The Facebook and Instagram parent jumped about 3%. Meta cut staff in its Reality Labs division, CNBC reported. Alphabet — The Google and YouTube owner climbed more than 4% after first-quarter results topped Wall Street expectations. Alphabet earned $2.81 per share on $90.23 billion in revenue for the quarter, while analysts surveyed by LSEG had estimated $2.01 per share and $89.12 billion in revenue. T-Mobile — Shares of the telecommunications company fell 5.5% after it reported fewer first-quarter wireless phone subscribers than the Street expected, seeing 495,000 postpaid phone additions versus analysts’ call for 504,000, according to StreetAccount. Earnings and revenue for the first quarter topped Street estimates. Intel — The chipmaker fell 7.2% after the outlook for the current quarter disappointed investors. Intel guided for revenue in the June quarter to come in at $11.8 billion at the midpoint, less than consensus calls for $12.82 billion, according to LSEG. Management anticipates earnings will break even. Intel also announced plans to reduce its operational and capital expenses. Gilead Sciences — The biopharmaceutical stock slid 3.9% after posting first-quarter revenue of $6.67 billion, missing the consensus estimate of $6.81 billion from analysts polled by LSEG. Gilead earned $1.81 per share, excluding items, in the quarter, while Wall Street penciled in $1.79. Skechers — The footwear maker slumped 6% after reporting lower-than-expected first-quarter revenue and withdrew its 2025 forward financial forecasts on account of ” macroeconomic uncertainty stemming from global trade policies .” Skechers’ bottom-line results came in above analysts’ forecasts. Charles Schwab — The financial services provider advanced 1.4% after Goldman Sachs upgraded shares to buy from neutral, calling Schwab a resilient growth stock amid an uncertain backdrop. Hasbro — The toy company rose about 1% one day after soaring 15%. Citigroup raised its investment opinion to buy from neutral, saying Hasbro’s stronger-than-expected Wizards of the Coast business outweighs any uncertainty stemming from tariff policy, according to analyst James Hardiman. Boston Beer — Shares of the Samuel Adams brewer rose nearly 3% after first-quarter results beat expectations. Boston Beer generated $2.16 in earnings per share on $453.9 million of revenue, while analysts surveyed by FactSet looked for 56 cents per share on $435.6 million in revenue. Boston Beer warned in its outlook that tariffs could hurt full-year earnings. — CNBC’s Alex Harring and Jesse Pound contributed reporting. Get Your Ticket to Pro LIVE Join us at the New York Stock Exchange! Uncertain markets? Gain an edge with CNBC Pro LIVE , an exclusive, inaugural event at the historic New York Stock Exchange. In today’s dynamic financial landscape, access to expert insights is paramount. As a CNBC Pro subscriber, we invite you to join us for our first exclusive, in-person CNBC Pro LIVE event at the iconic NYSE on Thursday, June 12. Join interactive Pro clinics led by our Pros Carter Worth, Dan Niles and Dan Ives, with a special edition of Pro Talks with Tom Lee. You’ll also get the opportunity to network with CNBC experts, talent and other Pro subscribers during an exciting cocktail hour on the legendary trading floor. Tickets are limited!
“I think having that professionally managed portfolio is really beneficial to clients,” Coyne told CNBC’s “ETF Edge” this week. “We’re seeing just… greater volatility [and] uncertainty across both the equity and fixed income markets.“
According to Coyne, the T. Rowe Price Capital Appreciation Equity ETF suits investors who are looking for long-term growth.
“The objective of the fund is to outperform the S&P 500 with lower volatility and greater tax efficiency,” he said. “It’s also a more concentrated portfolio, typically holding around a hundred names.”
The T. Rowe Price Capital Appreciation Equity ETF is down about 5% so far this year while the S&P 500 is off about 7% However, the ETF is up close to 8% over the past year — roughly identical to the S&P 500’s performance.
Coyne notes the T. Rowe Price U.S. Equity Research ETF follows a similar strategy, but with a heavier weighting in top tech stocks.
“This is more of a large-cap growth product [T Rowe Price U.S. Equity Research ETF],” he said. “There are components of characteristics of both passive and active here. This fund is actually managed by our North American directors of research. So again, strong fundamental research is going into the stock selection.”
Both the T. Rowe Price U.S. Equity Research ETF and S&P 500 are down around 7% since the beginning of the year. Meanwhile, the fund is up almost 9% over the past year. That’s less than one percent better than the S&P 500’s performance.
T. Rowe Price U.S. Equity Research ETF vs. S&P 500
‘Some form of bear market’
Strategas Securities’ Todd Sohn thinks investment demand for active managers will continue to be strong.
“This is the type of the environment where it [active management] can actually shine,” the firm’s senior ETF and technical strategist said. “We are in some form of bear market. This is where the active manager really can come into hand and offer their solution they are doing right.”