Finance
Goldman Sachs launches AI assistant as the tech sweeps banking
Goldman Sachs GS AI Assistant
Courtesy: Goldman Sachs
Goldman Sachs is rolling out a generative AI assistant to its bankers, traders and asset managers, the first stage in the evolution of a program that will eventually take on the traits of a seasoned Goldman employee, according to Chief Information Officer Marco Argenti.
The bank has released a program called GS AI assistant to about 10,000 employees so far, with the goal that all the company’s knowledge workers will have it this year, Argenti told CNBC in an exclusive interview. It will initially help with tasks including summarizing or proofreading emails or translating code from one language to another.
“Think about all the tasks that you might want to complete with regards to a variety of use cases for all those professions that can be now at your fingertips,” Argenti said. The Goldman assistant is a “very simple interface that allows you to have access to the latest and greatest models.”
Goldman’s move means that, along with JPMorgan Chase and Morgan Stanley, the world’s top three investment banks have aggressively released generative AI tools to their workforce, a remarkable development since ChatGPT went viral about two years ago.
Wall Street has embraced generative artificial intelligence faster than any other disruptive technology in recent years, experts say, because of how adept large language models are in replicating aspects of human cognition.
Today it can respond to queries, write emails and summarize lengthy documents, but expectations are high that future versions will exhibit so-called “agentic” abilities, meaning they can perform multi-step tasks with little human intervention.
In speaking with CNBC about his vision for artificial intelligence at the firm, Argenti — who joined from Amazon in 2019 — repeatedly likened the AI program to a new employee that will absorb Goldman culture over the coming years.
Initially, the tool will mostly produce answers based on Goldman data that has been fed into AI models from OpenAI’s ChatGPT, Google’s Gemini and Meta’s Llama, depending on the task, said Argenti. The bank is also looking at models from companies including Anthropic, Mistral and Cohere, he added.
“The AI assistant becomes really like talking to another GS employee,” Argenti said.
Learning the Goldman Way
“As we progress, the second step is when you’re starting to have this agentic behavior, that is, ‘I’m completing a task on behalf of a Goldman employee, and I need to take a set of steps’,” he said. “That’s where the model is going to start to do things like a Goldman employee, not only say things like a Goldman employee.”
This helps explain why companies have forbid employees from using ChatGPT for work, instead moving to create their own platforms to tap the technology. It allows firms to not only keep their information secure, but to also craft AI platforms that increasingly resemble the best examples of their own workforce.
“For the AI to have a very specific identity that reflects the tenets, the values, the knowledge and the way of thinking of the firm is extremely important,” Argenti said.
In practice, that means that just as an experienced Goldman employee would know to double check their work with multiple data sources or use a specific algorithm for a calculation, the AI will absorb those lessons, he said.
Marco Argenti, chief information officer for Goldman Sachs, joined the bank from Amazon in 2019.
Courtesy: Goldman Sachs
But Argenti says he is most excited by the prospect of what comes later, in perhaps three to five years, as AI models increasingly blur the lines between human and machine thinking.
This stage of AI at Goldman would have the model “actually reason more and become more like the way a Goldman employee would think,” he said.
So instead of being handed a run book, which is tech industry parlance for a set of step-by-step instructions for completing tasks or responding to incidents, the AI would be able to generate detailed plans “in the way that an experienced Goldman employee would do,” Argenti said.
Disruption risk
The prospects of that future — and the fact that Wall Street’s workers are helping train a technology that may make some roles obsolete, while augmenting other jobs and creating new roles altogether — may send a fresh wave of anxiety through employee ranks.
Like at Goldman, other major investment banks are on target to give generative AI tools to their entire workforces in the coming months.
More than 200,000 JPMorgan employees currently have access to in-house generative AI tools, according to a person with knowledge of that bank who declined to be identified speaking about internal matters. Roughly 40,000 Morgan Stanley employees had access to it as of late last year, the bank said in October.
Finance and technology are seen as among the industries where employees are most prone to upheaval because of generative AI, allowing companies to potentially generate billions of dollars in additional profits. Meta CEO Mark Zuckerberg told podcaster Joe Rogan earlier this month that its AI will be capable of writing code as well as mid-level software engineers this year.
Global investment banks may shed as many as 200,000 jobs in the next three to five years as the companies implement AI, according to a report from Bloomberg’s research arm. The report, based on a survey of tech executives at major banks, said that support and operations roles known as the back and middle office were most at risk.
At Goldman, however, the official stance is that AI will empower employees to do more, not necessarily result in the need for fewer humans.
“The importance of having a phenomenal human workforce is actually going to be amplified,” Argenti said.
“In my opinion, it always boils down to people,” he said. “People are going to make a difference, because people are going to be the ones that actually evolve the AI, educate the AI, empower the AI, and then take action.”
Cybersecurity and enterprise software stocks have been market dogs in 2026, with fears that AI will wipe out a wide range of companies in the enterprise space dominating the narrative. But they snapped a brutal losing streak this past week, joining in the broader market rally that saw all losses from the U.S.-Iran war regained by the Dow Jones Industrial Average and S&P 500.
Cybersecurity has been “a victim of some of the AI-related headlines,” Christian Magoon, Amplify ETFs CEO, said on this week’s “ETF Edge.”
It wasn’t just niche cybersecurity names. Take Microsoft, for example, which was recently down close to 20% for the year. Its shares surged last week by 13%.
A big driver of the pummeling in software stocks was a rotation within tech by investors to AI infrastructure and semiconductors and some other names in large-cap tech, Magoon said, and since cybersecurity stocks and ETFs are heavily weighted towards software companies, they were left behind even as those businesses continue to grow on a fundamental basis.
But Wall Street now has become more bullish with the stocks at lower levels. Brent Thill, Jefferies tech analyst, said last week that the worst may be over for software stocks. “I think that this concept that software is dead, and then Anthropic and OpenAI are going to kill the entire industry, is just over-exaggerated,” he said on CNBC’s “Money Movers” on Wednesday.
“Big Short” investor Michael Burry wrote in a Substack post on Wednesday that he is becoming bullish about software stocks after the recent selloff. “Software stocks remain interesting because of accelerated extreme declines last week arising from a reflexive positive feedback loop between falling software stocks and changes in the market for their bank debt,” he wrote.
The Global X Cybersecurity ETF (BUG), is down about 12% since the beginning of the year, with top holdings including Palo Alto Networks, Fortinet, Akamai Technologies and CrowdStrike. But BUG was up 12% last week. The First Trust NASDAQ Cybersecurity ETF (CIBR) is down 6% for the year, but up 9% in the past week.
Piper Sandler analyst Rob Owens reiterated an “overweight” rating on Palo Alto Networks which helped the stock pop 7% — it is now down roughly 6% on the year. Its peers saw similar moves, including CrowdStrike.
Performance of Global X cybersecurity ETF versus S&P 500 over past one-year period.
Magoon said expectations may have become too high in cybersecurity, and with a crowding effect among investors, solid results were not enough to to push stocks higher. But the down-and-then-back-up 2026 for the sector is also a reminder that when stocks fall sharply in a short period of time, opportunity may knock.
“Once you’re down over 10% in some of these subsectors, you start to see the contrarians start to say, ‘well, maybe I’ll take a look at this,'” Magoon said.
He said AI does add both opportunity and uncertainty to the cybersecurity equation, increasing demand but also introducing new competition. But he added, “I think the dip is good to buy in an AI-driven world,” specifically because the risks to companies may lead to more M&A in cyber names that benefits the stocks.
For now, investors may look for opportunity on the margins rather than rush back into beaten-up tech names. “I think investors are still going to remain underweight software,” Thill said.
But Magoon advises investors to at least take the reminder to keep an eye on niches in the market during pronounced downturns. “The best-performing are often the least bought and do the best over the next 12 months versus late-in-the-game piling on,” he said.
While that may have been a mindset that worked against the last investors into cybersecurity and enterprise software in mid-2025 when the negative sentiment started building, at least for now, it’s started working for the stocks in the sector again.
Meanwhile, this year’s biggest winner is also a good example of what can be an extended trade in either a bullish or bearish direction. Last year, institutional ownership of energy was at multi-year lows, Magoon said, referencing Bank of America data. “Reverse sentiment can be a great indicator,” he said.
But he cautioned that any selective buying of stocks that have dipped does have to contend with the risk that there is a potentially bigger drawdown in the market yet to come in 2026. That is because midterm election years historically have been marked by large drawdowns. “If you think it is bad right now, it could get a lot worse,” Magoon said. But he added that there’s a silver-lining in that data, too, for the patient investor. The market has posted very strong 12-month returns after midterm election drawdowns end. So, for investors with a longer-term time horizon and no need for short-term liquidity, Magoon said, “stick in there.”
Sign up for our weekly newsletter that goes beyond the livestream, offering a closer look at the trends and figures shaping the ETF market.
New innovation in the exchange-traded fund industry could come at a cost to investors during extreme conditions.
According to MFS Investment Management’s Jamie Harrison, ETFs involved in increasingly complex derivatives and less transparent markets may be in uncharted territory when it comes to violent downturns.
“Those would be something that you’d want to keep an eye on as volatility ramps up,” the firm’s head of ETF capital markets told CNBC’s “ETF Edge” this week. “As innovation continues to increase at a rapid pace within the ETF wrapper, [it’s] definitely something that we advise our clients to be really front-footed about… Lack of transparency could absolutely be an issue if we’re going to start seeing some deep sell-offs.”
His firm has been around since 1924 and is known for inventing the open-end mutual fund. Last year, ETF.com named MFS Investment Management as the best new ETF issuer.
“It’s important to do due diligence on the portfolio,” he said. “Having a firm that has deep partnerships, deep bench of subject matter experts that plays with the A-team in terms of the Street and liquidity providers available [are] super important.”
Liquidity as the real issue?
Harrison suggested the real issue is liquidity, particularly during a steep sell-off.
“We’ve all seen the news and the headlines around potential private credit ETFs. That picture becomes much more murky,” he added. “It’s up to advisors, to investors [and] to clients to really dig in and look under the hood and engage with their issuers.”
He noted investors will have to ask some tough questions.
“What does this look like in a 20% drawdown? How does this liquidity facility work? Am I going to be able to get in? Am I going to be able to get out? And if I’m able to get out, am I able to get out at a price that’s tight to NAV [net asset value], and what’s the infrastructure at your shop in terms of managing that consideration for me,” said Harrison.
Amplify ETFs’ Christian Magoon is also concerned about these newer ETF strategies could weather a monster drawdown. He listed private credit as a red flag.
“If your ETF owns private credit, I think it’s worth taking a look at, kind of what the standards are around liquidity and how that ETF is trading, because that should be a bit of a mismatch between the trading pace of ETFs and the underlying asset,” the firm’s CEO said in the same interview.
Magoon also highlighted potential issues surrounding equity-linked notes. The notes provide fixed income security while offering potentially higher returns linked to stocks or equity indexes.
“Those could potentially be in stress due to redemptions and the underlying credit risk. That’s another kind of unique derivative,” Magoon said. “I would very closely look at any ETF that has equity-linked notes should we get into a major drawdown or there be a contagion in private credit or something related to the banking system.”
What that means for consumer loans
Checks and Balance newsletter: Of God and MAGA
Why software stocks, 2026’s market dogs, have joined the rally
Armanino adds Strategic Accounting Outsourced Solutions
New 2023 K-1 instructions stir the CAMT pot for partnerships and corporations
