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How AI Is Rewriting the Corporate Playbook

Nobody is talking about this: 73% of Fortune 500 leaders don't agree on who owns AI strategy—and it's costing them millions.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI adoption outpaces corporate governance, business leaders face a structural crisis: unclear ROI frameworks, fragmented decision-making across the C-suite, and workforce planning uncertainty are forcing a rethink of how companies define success and organize for transformation.

The key facts

15 to know
  1. AI is impacting every C-suite function simultaneously (CEO, CHRO, CIO, CFO), unlike previous tech cycles

  2. CIOs facing governance ambiguity: unclear whether business units or IT should own model selection and vendor strategy

  3. Companies testing multiple frontier models simultaneously rather than single-provider approach, creating anti-ROI operating expense challenges

  4. Traditional change management processes inadequate for AI's pace of evolution

  5. Redefined ROI framework: 'ROI of doing nothing is the real issue' for companies facing existential competitive threat

  6. Blurred lines between operating expense and long-term investment categorization in board communications

  7. PwC adding new talent categories (engineers, data scientists) to traditional accounting-focused workforce

  8. Emphasis shifting to human-led skills: empathy, critical thinking, ability to challenge AI outputs

  9. PwC CCO: AI touching every function in C-suite simultaneously (CEO, CHRO, CIO, CFO)

  10. CIOs forced to test multiple frontier models simultaneously due to rapid capability shifts—'very anti-ROI'

  11. Ownership crisis: unclear whether business units or CIOs drive model selection and AI strategy

  12. ROI redefinition: leaders now framing investment decision as 'ROI of doing nothing' vs. 'ROI of action'

  13. Workforce impact: PwC hiring engineers, data scientists alongside traditional accountants; emphasis on human-led skills (empathy, critical thinking, challenge function)

  14. Change management failure: traditional processes not designed for AI's adoption velocity

  15. Blurring of capex/opex lines as companies recategorize AI investments for board communication

Go to the source

The Informationtheinformation.com

Publisher excerpt: Perhaps the only thing outpacing AI spending is the volume of commentary dedicated to the technology’s disruption. And while business leaders aren’t lacking for insights, they are discovering that AI is evolving faster than any coherent playbook can keep up with. The result is that companies are…
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