Why R&D Waste Persists Despite Widespread AI Adoption
TL;DR
This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well. What Attendees will Learn 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.
Nauti's Take
The numbers make a strong case for a real opportunity: pointing AI at the decision layer instead of only at execution. The catch is the source.
This is vendor research built to drive whitepaper downloads, so the percentages deserve scrutiny. Product and research teams should still check their own kill rate, because filtering better at the ideation stage saves more than any efficiency tool applied later in development.
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