More Big Companies Bet They Can Still Grow Without Hiring

It’s the corporate gamble of the moment: Can you run a company, increasing sales and juicing profits, without adding people?

American employers are increasingly making the calculation that they can keep the size of their teams flat—or shrink through layoffs—without harming their businesses.

Part of that thinking is the belief that artificial intelligence will be used to pick up some of the slack and automate more processes. Companies are also hesitant to make any moves in an economy many still describe as uncertain.

JPMorgan Chase’s chief financial officer told investors recently that the bank now has a “very strong bias against having the reflective response” to hire more people for any given need. Aerospace and defense company RTX boasted last week that its sales rose even without adding employees.

Goldman Sachs , meanwhile, sent a memo to staffers this month saying the firm “will constrain head count growth through the end of the year” and reduce roles that could be more efficient with AI. Walmart , the nation’s largest private employer, also said it plans to keep its head count roughly flat over the next three years, even as its sales grow.

“If people are getting more productive, you don’t need to hire more people,” Brian Chesky , Airbnb’s chief executive, said in an interview. “I see a lot of companies pre-emptively holding the line, forecasting and hoping that they can have smaller workforces.”

Airbnb employs around 7,000 people, and Chesky says he doesn’t expect that number to grow much over the next year. With the help of AI, he said he hopes that “the team we already have can get considerably more work done.”

Many companies seem intent on embracing a new, ultralean model of staffing, one where more roles are kept unfilled and hiring is treated as a last resort. At Intuit , every time a job comes open, managers are pushed to justify why they need to backfill it, said Sandeep Aujla , the company’s chief financial officer. The new rigor around hiring helps combat corporate bloat.

“That typical behavior that settles in—and we’re all guilty of it—is, historically, if someone leaves, if Jane Doe leaves, I’ve got to backfill Jane,” Aujla said in an interview. Now, when someone quits, the company asks: “Is there an opportunity for us to rethink how we staff?”

Intuit has chosen not to replace certain roles in its finance, legal and customer-support functions, he said. In its last fiscal year, the company’s revenue rose 16% even as its head count stayed flat, and it is planning only modest hiring in the current year.

The desire to avoid hiring or filling jobs reflects a growing push among executives to see a return on their AI spending. On earnings calls, mentions of ROI and AI investments are increasing, according to an analysis by AlphaSense, reflecting heightened interest from analysts and investors that companies make good on the millions they are pouring into AI.

Many executives hope that software coding assistants and armies of digital agents will keep improving—even if the current results still at times leave something to be desired.

The widespread caution in hiring now is frustrating job seekers and leading many employees within organizations to feel stuck in place, unable to ascend or take on new roles, workers and bosses say.

Inside many large companies, HR chiefs also say it is becoming increasingly difficult to predict just how many employees will be needed as technology takes on more of the work.

Some employers seem to think that fewer employees will actually improve operations.

Meta Platforms this past week said it is cutting 600 jobs in its AI division, a move some leaders hailed as a way to cut down on bureaucracy.

“By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact,” Alexandr Wang , Meta’s chief AI officer, wrote in a memo to staff seen by The Wall Street Journal.

Though layoffs haven’t been widespread through the economy, some companies are making cuts. Target on Thursday said it would cut about 1,000 corporate employees, and close another 800 open positions, totaling around 8% of its corporate workforce. Michael Fiddelke , Target’s incoming CEO, said in a memo sent to staff that too “many layers and overlapping work have slowed decisions, making it harder to bring ideas to life.”

A range of other employers, from the electric-truck maker Rivian to cable and broadband provider Charter Communications , have announced their own staff cuts in recent weeks, too.

Operating with fewer people can still pose risks for companies by straining existing staffers or hurting efforts to develop future leaders, executives and economists say. “It’s a bit of a double-edged sword,” said Matthew Martin , senior U.S. economist at Oxford Economics. “You want to keep your head count costs down now—but you also have to have an eye on the future.”

Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.

When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.

The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.

But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.

Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.

After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.

“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”

The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.

Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.

In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.

Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.

“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”

Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.

“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.

The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.

The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.

In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.

Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.

More Big Companies Bet They Can Still Grow Without Hiring

JPMorgan Chase has a ‘strong bias’ against adding staff, while Walmart is keeping its head count flat. Major employers are in a new, ultra lean era.

Nvidia’s earnings will test Wall Street’s confidence in the AI boom.