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Why R&D Waste Persists Despite Widespread AI Adoption

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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. 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. Download this fr…

SourceIEEE Spectrum AIAuthor: Patsnap
Why R&D Waste Persists Despite Widespread AI Adoption
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Download the Complimentary Industry Report! Innovation leaders face increasing pressure to deliver breakthrough products faster while making smarter investment decisions. Yet, new research shows that many organizations continue to lose significant R&D budget on projects that never reach commercialization, even as AI adoption accelerates. Based on a survey of more than 200 senior R&D professionals across North America, the UK, and Europe, this industry report reveals where innovation teams are losing time, budget, and competitive advantage—and how better intelligence can improve decision-making before costly investments are made. In this report, you’ll learn: Why more than one-third of organizations spend 25–40% of their R&D budget on projects that never reach market. Why nearly half of respondents estimate losing more than $1 million every time a late-stage project is canceled. How AI adoption has surged, yet most organizations still use it primarily for execution, not for the strategic decisions that determine which projects deserve investment. Why earlier access to competitive, market, and patent intelligence delivers the greatest impact during ideation and feasibility, before significant resources are committed. Click ‘LOOK INSIDE’ to reserve your complimentary copy LOOK INSIDE

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  • AI generation is temporarily unavailable; this entry was preserved with deterministic fallback metadata.
  • 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. M…

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