Wire report
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. 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 free whitepaper now!
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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 free whitepaper now!
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What happened
According to IEEE Spectrum’s linked report, 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. 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 free whitepaper now!
Context
The development sits in VINI’s Technology coverage for readers following technology, science, product policy, markets, infrastructure, and the public consequences of innovation. The original report is linked so readers can check the source account, follow later updates, and compare new coverage against the first published record. The linked report is dated 2026-08-04T14:51:55+00:00.
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Source
Primary source: Why R&D Waste Persists Despite Widespread AI Adoption via IEEE Spectrum. VINI cites and links the source; it does not reproduce the publisher’s full article text without rights clearance.
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- Why R&D Waste Persists Despite Widespread AI AdoptionIEEE Spectrum - 2026-08-04T14:51:55+00:00
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