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Why R&D Waste Persists Despite Widespread AI Adoption
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关键摘要
This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.…
- What Attendees will LearnWhere R&D budget is lost.
- More than a third of organizations spend 25 to 40 percent of their R&D…
- Why projects fail late.
摘要引擎：抽取
正文提要
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.