Companies struggle to turn AI adoption into productivity gains

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AI adoption productivity challenge

Highlights

Executives report $10 million AI expenditures without measurable organizational gains, as individual productivity improvements fail to drive company-wide results.
Boardrooms are replacing 20% to 30% of executive leadership teams unable to accelerate effective AI adoption or transformation strategies.
AI investment has yet to yield increased revenue per worker or profit margins outside the technology sector, with S&P 500 productivity remaining flat beyond the Magnificent Seven.

Workflows and leadership face pressure

As reported by Axios, executives say the main problem is no longer giving workers access to AI tools, but figuring out how individual usage can produce meaningful results across a company.

At a recent private dinner attended by Axios, HR leaders debated whether broad AI adoption can translate into tangible organizational gains. One participant said they inherited a $10 million AI bill without a clear account of the value created, while other executives argued that entire workflows may need to be redesigned to capture the opportunity.

Brian Elliott, executive in residence at workplace consulting firm Charter, said many companies are seeing the same pattern, with employees reporting personal productivity improvements but organizations failing to register material benefits. He said AI has made writing code faster, but has not sped up the process of deciding what to do with that code.

Boardroom pressure is also rising as CEOs are pushed to generate returns from AI spending. Jeff Christian, chief executive of executive recruiting firm Christian and Timbers, said some companies are replacing 20% to 30% of executive leadership teams that are not driving the transition into AI effectively.

Security concerns and weak payoff slow adoption

Rob Hornby, global co-CEO of AlixPartners, said companies are learning that simply inserting technology into an organization does not create transformation on its own. He said the consulting firm is seeing growing demand as businesses seek more substantive change programs tied to AI.

Security and liability concerns are also delaying larger shifts. Hornby said banks and other companies are worried about hacks or being held responsible when an autonomous agent makes an unwanted purchase or other unauthorized action through a customer account, causing some businesses to halt activity until those risks are clearer.

The hesitation helps explain why AI is not yet showing up clearly in broader productivity figures. Anthropic, in its filing to go public, identified natural resistance to change within organizations as an obstacle to growth, while Apollo chief economist Torsten Slok wrote recently that outside the technology sector, AI has so far delivered no financial payoff to corporate America, with revenue per worker and profit margins flat among S&P 500 companies beyond the Magnificent Seven.

Executives and economists note that major technological shifts often take time to affect output data, much as electricity and computers did in earlier eras. Even so, software engineering already shows clearer workflow changes, suggesting AI adoption is advancing faster than the organizational changes needed to capture its full value.

Earlier, we discussed AI data center financing risks as rising costs and delays complicated U.S. infrastructure expansion plans.

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