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.
Key Takeaways
- 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.
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Stats & Key Facts
- #More than a third of organizations spend 25 to 40 percent of their R&D budget on projects that never reach market.
- #More than a third of organizations spend 25 to 40 percent of their R&D budget on projects that never reach market.
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.
For more details please read the original article at IEEE Spectrum AI.
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