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Why R&D Waste Persists Despite Widespread AI Adoption

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Why R&D Waste Persists Despite Widespread AI Adoption

This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.

Where R&D budget is lost. More than a third of organizations spend 25 to 40 percent of their R&D budget on projects that never reach market.

Why projects fail late. Almost half of teams estimate over one million dollars in wasted investment for each project killed during development or testing.

Why AI adoption has not closed the gap. Most organizations apply AI to execution tasks such as data analysis and modeling rather than to decision support.

Where intelligence matters most. Respondents say better access to intelligence has the greatest value at early ideation and feasibility before significant investment is committed.



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