Something is breaking inside the American corporation. Not the balance sheet, not the brand, not the technology stack — those are mostly fine. What’s breaking is harder to see on a slide deck and harder to fix with a budget line: the unwritten rules, shared assumptions, and organizational muscle memory that tell people how to behave, what to say, who to listen to, and what happens when you get it wrong.
Artificial intelligence didn’t create this tension. But it is making it impossible to ignore.
The report said that conditions are no longer stable, with open trade, predictable regulation, inexpensive capital, and consistent labor markets all shifting simultaneously, redefining how CEOs and senior executives have to lead their organizations. “Against this backdrop,” the report continued, “CEOs must understand how to rewire their organizations to keep pace with change.” The survey shows a war inside big corporations as that rewiring is resisted at all levels.
For most of the 20th century, the Fortune 500 org chart was a machine for execution. Decisions flowed down, information flowed up, and the hierarchy was the system. It was slow by design — slow meant controlled, and controlled meant safe.
AI doesn’t work that way. It compresses timelines, flattens information asymmetries, and rewards organizations that can act before the picture is complete. The executives who built their careers in the old machine are now being asked to rewire it while it’s running.
The KPMG data bears this out in sometimes uncomfortable detail. Only 30% of executives say their organization’s structures, roles, and processes can reconfigure quickly as business needs change. Only 24% identified more dynamic talent deployment as a key change made over the last year. The C-suite has embraced the language of transformation. The org chart hasn’t moved.
Follow the money and the culture war becomes concrete. Across every industry group in the KPMG index, executives report that increasing investment in new technology was the top action they took last year. They are nearly twice as likely to increase tech spending as to invest in employee training. Less than half say they find technology “very effective” at improving adaptability.
The math of that trade-off has a human cost. Four out of six industry groups in the index recorded year-over-year declines in hiring. Consumer retail shed headcount at a 7.9% rate. Healthcare, already strained, dropped 5.6%. Companies are simultaneously demanding more adaptability from their workforces and making those workforces smaller. The result: 46% of executives report burnout and change fatigue as an unintended consequence of their adaptability efforts.
Here is where the white-collar culture war gets its most revealing data point. The industries most focused on innovation — most aggressive about new technologies, business model experimentation, and accelerating R&D — are not the most adaptable. The correlation is essentially zero.
Zaim invoked Kodak — a company that literally invented the digital camera and was destroyed by it anyway. “Is there a risk that you are a leader, excellent in innovation, but somehow that diffusion, that adoption, that getting it into the rest of the organization didn’t happen because you didn’t have the culture for it?” The answer, the index suggests, is yes — and it is happening at scale, right now, inside some of the most sophisticated companies in the world.
Kidd said he sees such failures as symptomatic of something deeper — a fundamental misunderstanding of what AI actually does to organizational intelligence. He said he was skeptical of consulting firms and corporations that try to draw bright lines between what humans can do and what AI cannot. “Human skill capability ceiling is fixed,” he said, “whereas on the other side of the curve, it’s not fixed.” Any boundary you draw today, he said, is just a “sandcastle.”
Beneath every data point in this report is a more fundamental question: do the people inside these organizations feel safe enough to actually change?
Zaim said he has pushed CEOs on this directly, recalling one particular conversation with a CEO, years before AI, about transformation in general. “He was agreeing vehemently — yes, you need a culture where people can bring up ideas. I said, ‘When was the last time you celebrated a failure?’ And the penny dropped instantly. He’s like, ‘You know what, Atif? You’re 100% correct. We just don’t do that.’” It’s not about having a mindset where failure is good, Zaim clarified, but that risk-taking definitely is, and failures are a byproduct of that.
Kidd, who has spent months meeting with chief impact officers at major consulting firms and Fortune 100 companies as part of his own research, kept seeing versions of this reluctance to take risks, people who “see the org chart shifting underneath them in real time and are trying to figure out what the other side looks like.”
It’s understandable to want to distinguish human work from AI work, Kidd said, before concluding that was ultimately “pissing in the wind.” When the gap between human and machine capability closes, he added, the only durable advantage for any organization will be its culture. “When you remove the management buffer and hand execution over to AI, the remaining humans are no longer the engine—they are the steering wheel. if your culture is misaligned, the AI will just scale your dysfunction at light speed.”
Firms designing their cultures around a stable human-AI boundary, Kidd explained, are making a bet that the boundary will hold. The KPMG data suggests most of them are already losing that bet — they just haven’t looked at the score.
What’s different now is that the pressure is structural, not optional. Boards have noticed. Eighty-one percent of executives say their boards or owners have raised expectations for organizational adaptability. Companies that pushed through transformation — that made the cultural and structural bets, not just the technological ones — saw 4.4 times higher shareholder returns and nearly triple the revenue growth of more passive peers. Leaders in organizations they describe as genuinely adaptable are 13 percentage points more likely to report revenue growth and to expect more of it.
Zaim acknowledged that the competitive threat is no longer abstract, agreeing that he’s heard anecdotes of three-person companies operating with a dozen AI agents, generating millions in revenue, chipping away at Fortune 500 business. “The price of knowledge, one could argue, has come down,” he said. “And therefore it allows you to go into businesses and challenge established businesses with a lot less initial capital expense than has ever been the case.”
“I don’t want to be dramatic and say it’s life or death,” Zaim said. Then he paused. “But I think it is life or death for some.”
