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The Morning Download: CEOs Are Leading AI Adoption

By Steven Rosenbush | WSJ Leadership Institute

 

What's up: Job reports return; OpenAI to end ‘vesting cliff’; Roomba maker declares bankruptcy.

Less than half of current artificial-intelligence projects had generated more in returns than they cost, survey respondents said. Josep Lago/AFP/Getty Images

Good morning. A new survey drives home one of the defining characteristics of artificial-intelligence adoption in business. It’s coming from the very top, with chief executives giving their companies the latitude to keep investing, even if the returns aren’t apparent right away.

From The Wall Street Journal on Sunday: Chief executives of some of the world’s largest companies are all-in on artificial intelligence, according to an annual survey of more than 350 public-company CEOs from advisory firm Teneo.

68%

Percentage of CEOs who plan to spend even more on AI in 2026

Other findings.

  • Less than half of current AI projects had generated more in returns than they had cost, respondents said.
  • 67% of CEOs believe AI will increase their entry-level head count, while 58% believe AI will increase senior leadership head count.

It’s the second poll this month to make that point. The WSJ Leadership Institute reported Dec. 9 that 85% of chief executives believe AI is entering a healthy growth phase rather than a bubble, according to research from global marketing network Stagwell.

“What I saw in this poll…is unbridled enthusiasm for AI,” said Stagwell Chairman and Chief Executive Mark Penn, a former Microsoft chief strategist and presidential pollster and strategist. Ninety-five percent of CEO respondents said AI would be transformative, while 5% viewed it as overhyped, Penn said at The Wall Street Journal CEO Council Summit in Washington.

The question is why the majority of CEOs are bullish on AI when many investors are getting nervous.

Part of the answer is that many businesses, and large companies in particular, seem to have a longer investment horizon and a different view of risk than investors in the public markets. In that respect, they are thinking more like venture-capital investors, who make big bets and are willing to wait years for a return on their investment.

The difference between VC investors and CEOs is that venture-capital funds make numerous investments, spreading that risk around. There’s a good chance that a particular portfolio company will underperform or fail, but they don’t bet the entire fund on one company. They share their risk with co-investors and limited partners.

CEOs are potentially betting the company on their technology investment decisions. Every single time. If their biggest bets don’t pan out, they stand to waste precious capital. If they sit out a crucial technology shift, they risk being run over by the steamroller of history.

And even if most companies aren’t seeing a sufficient return on AI right now, a good number of them are.

“It’s very, very hard to build an agentic framework,” Leigh-Ann Russell, chief information officer and global head of engineering at financial services provider BNY, told me recently. “But we have 117 solutions [including agentic] touching everything that happens at the bank and we’re seeing really, really tangible outcomes that impact our bottom line in terms of growing capacity.”

Is your company seeing a return on its investments in AI? Use the links at the end of this newsletter and let us know how it’s going.

 
Content from our sponsor: Deloitte
13 Predictions for 2026: The AI Gap Narrows—but Likely Persists

The coming year will likely see the gap between the promise and reality of AI narrow as further developments help propel the technology toward scale. Read More

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This Week: Job Reports Return

The Labor Department, after pausing its data collection for weeks during the government shutdown, on Tuesday will publish a report with two months’ worth of data on the health of the U.S. job market, WSJ reports.

The report will reveal the unemployment rate for November and some data on hiring in October and could help shed more light on the impact of tariff policies, rising costs and AI on hiring. 

More on AI and hiring below.

 

AI Talent Wars Pushes OpenAI to End ‘Vesting Cliff’

OpenAI ended one policy requiring employees to work at the company for at least six months before their equity vests.

Sam Altman, chief executive of OpenAI, during a July appearance at a conference in Washington. Al Drago/Bloomberg News

The change to the “vesting cliff,” announced by applications chief Fidji Simo, is designed to encourage new employees to take risks without fear of being let go before accessing their first chunk of equity, according to people familiar with the matter.

The company expects to spend $6 billion this year on stock-based compensation—almost half of its projected revenue—the Journal reports. Tech investors have privately complained about the ballooning stock-based compensation associated with AI startups, arguing that it eats into shareholder returns.

 

Trust the Machine? Many Say 'No Thanks'

Machines that show their work could help overcome inherent distrust.

An autonomous driving system from Aurora Innovation piloting a truck in April. Aurora Innovation

AI industry professionals are discovering that even as their decision-making systems get better and better—in many cases out-performing humans—public trust in them is not necessarily following suit, WSJ tech columnist Christopher Mims reports. 

"For those asking the public to trust their AIs, it doesn’t help that systems based on related technology are causing harm in ways all of us hear about daily, from suicide-encouraging chatbots to image generators that devour jobs and intellectual property."

 

🎧 Inside China’s pursuit of tech dominance—and what it means for the U.S. The world’s second-biggest economy has been making major inroads on the technology front from AI to autonomous driving. China’s ascendence is also complicating its relationship with the U.S., which has long been the center of this kind of innovation.

 

Jobs

Who says AI is taking jobs? Well, a lot of people, but here are four more new occupations for the AI age, according to Robert Seamans, a professor of management and organizations at New York University’s Stern School of Business. Anyone remember prompt engineers?

Rob Dobi

The explainer. An expert who understands the technology deeply and can translate it into plain language for managers, judges, regulators and others. 

The chooser. This expert would help companies sort through the variety of AI systems available and figure out what jobs they are each best suited to handle.

The auditor and cleaner. Auditors would perform regular checkups to see if the AI systems produced results that were unfairly skewed in some direction. Cleaners would adjust the system to eliminate those problems.

The trainer. An expert who would use the technology to figure out what teaching style works best for individuals and tailor the lessons to fit.

 

CIO Reads

Massachusetts-based iRobot, maker of the Roomba robotic vacuums, declared bankruptcy Sunday but said its devices will continue to function normally while the company restructures.

SpaceX executives are starting the process to select Wall Street bankers to advise it on its initial public offering, WSJ reports.

JPMorgan Chase's $4 trillion asset-management arm is rolling out its first tokenized money-market fund on the Ethereum blockchain, WSJ reports.

 

Everything Else You Need to Know

Hollywood director and actor Rob Reiner and his wife Michele Singer Reiner have died, a family spokesperson said Sunday. Police said they are investigating what they called a homicide at a Brentwood home. (WSJ)

The father and son accused in Australia’s deadliest mass shooting in nearly 30 years used licensed firearms in the attack, police said Monday, as new details about the two men spurred calls to strengthen the country’s gun laws. (WSJ)

The manhunt continues for a suspect in Saturday’s shooting at Brown University as Providence Mayor Brett Smiley said Sunday night that the person of interest in police custody was being released. (WSJ)

China’s economic momentum slowed broadly in November, with a marked weakening in consumer spending, adding pressure on Beijing to stabilize household and business demand in the world’s second-largest economy. (WSJ)


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About Us

The WSJ CIO Journal Team is Steven Rosenbush, Isabelle Bousquette and Belle Lin.

The editor, Tom Loftus, can be reached at thomas.loftus@wsj.com.

 
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