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AI is impacting the labor market, young tech workers: Goldman economist

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A screen displays the the company logo for Goldman Sachs on the floor at the New York Stock Exchange (NYSE) in New York City, U.S., May 7, 2025.

Brendan McDermid | Reuters

Changes to the American labor market brought on by the arrival of generative AI are already showing up in employment data, according to a Goldman Sachs economist.

Most companies have yet to deploy artificial intelligence in production cases, meaning that the overall job market hasn’t yet been significantly impacted by AI, said Joseph Briggs, senior global economist of Goldman’s research division, in a podcast episode shared first with CNBC.

But there are already signs of a hiring pullback in the technology sector, hitting younger employees there the hardest, Briggs said.

“If you look at the tech sector’s employment trends, they’ve been basically growing as a share of overall employment in a remarkably linear manner for the last 20 years,” Briggs said on the episode of “Goldman Sachs Exchanges” to be aired Tuesday. “Over the last three years, we’ve actually seen a pullback in tech hiring that has led it to undershoot its trend.”

Since its November 2022 release, OpenAI‘s ChatGPT has fueled the rise of the world’s most valuable company, Nvidia, and forced entire industries to contend with its implications. Generative AI models are quickly becoming adept at handling many routine tasks, and some experts say they are already on par with human software engineers, for instance.

That has sparked concerns that while automation will make companies more productive and enrich shareholders, swaths of the job market could be impacted in the coming years.

Technology executives have recently become more candid about the impact of AI on employees. Companies including Alphabet and Microsoft have said AI is producing roughly 30% of the code on some projects, and Salesforce CEO Marc Benioff said in June that AI handles as much as 50% of the work at his company.

Young tech workers, whose jobs are the easiest to automate, are the first concrete signs of displacement, according to Briggs.

Unemployment rates among tech workers between 20 and 30 years old jumped by 3 percentage points since the start of this year, he said. Briggs recently co-authored a report titled “Quantifying the Risks of AI-Related Job Displacement” that cites labor market data from IPUMS and Goldman Sachs Global Investment Research.

“This is a much larger increase than we’ve seen in the tech sector more broadly [and] a larger increase than we’ve seen for other young workers,” he said.

‘Labor substitution’

The approach from tech CEOs has been to hold off on hiring junior employees as they begin to deploy AI, said George Lee, the former technology banker who co-heads the Goldman Sachs Global Institute.

“How do I begin to streamline my enterprise so I can be more flexible and more adaptive… yet without harming our competitive edge?” Lee said in the podcast episode. “Young employees for this period of time are a little bit the casualty of that.”

Over time, roughly 6% to 7% of all workers could lose their jobs because of automation from AI in a baseline scenario, according to Briggs.

The transition could be more painful, both to workers and the U.S. economy, if adoption among companies happens faster than the roughly decade-long period he assumes, Briggs said.

That could either be because of technological advances or an economic slowdown that encourages companies to cut costs, he said.

If AI researchers achieve AGI, or artificial general intelligence, that equals a person’s ability to learn and adapt across domains, instead of being narrowly deployed, the impact on workers would be more profound, the Goldman economist said.

“Our analysis doesn’t factor in the potential for the emergence of AGI,” Briggs said. “It’s hard to even start thinking about the impact on the labor market, but I would guess there probably and undoubtedly is more room for labor substitution and a more disruptive impact in that world.”

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Why software stocks, 2026’s market dogs, have joined the rally

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ETF shelters from the Middle East War

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.

Stock Chart IconStock chart icon

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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.” 

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Violent downturns could test new ETF strategies, warns MFS Investment

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ETF Stress Tests: How funds are showing resilience in the face of uncertainty

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.”

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Anthropic Mythos reveals ‘more vulnerabilities’ for cyberattacks

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Jamie Dimon, chief executive officer of JPMorgan Chase & Co., right, departs the US Capitol in Washington, DC, US, on Wednesday, Feb. 25, 2026.

Graeme Sloan | Bloomberg | Getty Images

JPMorgan Chase CEO Jamie Dimon said Tuesday that while artificial intelligence tools could eventually help companies defend themselves from cyberattacks, they are first making them more vulnerable.

Dimon said that JPMorgan was testing Anthropic’s latest model — the Mythos preview announced by the AI firm last week — as part of its broader effort to reap the benefits of AI while protecting against bad actors wielding the same technology.

“AI’s made it worse, it’s made it harder,” Dimon told analysts on the bank’s earnings call Tuesday morning. “It does create additional vulnerabilities, and maybe down the road, better ways to strengthen yourself too.”

When asked by a reporter about Mythos, Dimon seemed to refer to Anthropic’s warning that the model had already found thousands of vulnerabilities in corporate software.

“I think you read exactly what is it,” Dimon said. “It shows a lot more vulnerabilities need to be fixed.”

The remarks reveal how artificial intelligence, a technology welcomed by corporations as a productivity boon, has also morphed into a serious threat by giving bad actors new ways to hack into technology systems. Last week, Treasury Secretary Scott Bessent summoned bank CEOs to a meeting to discuss the risks posed by Mythos.

JPMorgan, the world’s largest bank by market cap, has for years invested heavily to stay ahead of threats, with dedicated teams and constant coordination with government agencies, Dimon said.

“We spend a lot of money. We’ve got top experts. We’re in constant contact with the government,” he said. “It’s a full-time job, and we’re doing it all the time.”

‘Attack mode’

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