Why R&D Waste Persists Despite Widespread AI Adoption

<img src="https://spectrum.ieee.org/media-library/patsnap-logo-with-abstract-connected-circle-design-in-grayscale.png?id=67571651&width=980"/><br/><br/><p>This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.</p><p>What Attendees will Learn</p><ol><li>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.</li><li>Why projects fail late. Almost half of teams estimate over one million dollars in wasted investment for each project killed during development or testing.</li><li>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.</li><li>Where intelligence matters most. Respondents say better access to intelligence has the greatest value at early ideation and feasibility before significant investment is committed.</li></ol><div><a href="https://content.knowledgehub.wiley.com/the-2026-rd-benchmark-report-waste-ai-and-the-race-to-market/" target="_blank">Download this free whitepaper now!</a></div>