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​The AI Spending Reckoning: What Your Board Is About To Ask

Your board is about to ask the one AI ROI question you can't answer.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI spending scales, boards are shifting from adoption metrics to actual business impact measurement. This signals a critical pivot from 'are we using AI?' to 'is AI actually making us money?'—forcing companies to rethink how they justify continued AI investment.

The key facts

8 to know
  1. Focus on measurement approaches that evaluate actual work output vs. surface-level adoption metrics

  2. Board-level scrutiny of AI ROI expected to intensify

  3. Gap between current measurement frameworks and what boards will demand for continued funding

  4. Published June 2026 — reflects emerging board-level scrutiny of AI ROI

  5. Focus on measurement frameworks for AI spending effectiveness

  6. Distinction between wrapper (overhead) vs actual work (outcome)

  7. Targets C-suite and board-level decision makers

  8. No specific dollar amounts or benchmark data provided

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: Most measurement approaches look at the wrapper around the work, not the work itself.
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