---
title: "Why R&D Waste Persists Despite Widespread AI Adoption"
slug: "warum-forschungsbudgets-verbrennen-obwohl-ueberall-ai-im-einsatz-ist"
date: 2026-08-04
category: tech-pub
tags: []
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/warum-forschungsbudgets-verbrennen-obwohl-ueberall-ai-im-einsatz-ist
---

# Why R&D Waste Persists Despite Widespread AI Adoption

**Published**: 2026-08-04 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.

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## Summary

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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## Why it matters

This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.

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## Key Points

- 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.

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## Nauti's Take

The numbers make a strong case for a real opportunity: pointing AI at the decision layer instead of only at execution. The catch is the source. This is vendor research built to drive whitepaper downloads, so the percentages deserve scrutiny. Product and research teams should still check their own kill rate, because filtering better at the ideation stage saves more than any efficiency tool applied later in development.

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## FAQ

**Q:** What is Why R&D Waste Persists Despite Widespread AI Adoption about?

**A:** This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.

**Q:** Why does it matter?

**A:** This report examines R&D waste and how AI adoption has outpaced the intelligence needed to make consequential decisions well.

**Q:** What are the key takeaways?

**A:** 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.

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## Related Topics

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## Sources

- [Why R&D Waste Persists Despite Widespread AI Adoption](https://content.knowledgehub.wiley.com/the-2026-rd-benchmark-report-waste-ai-and-the-race-to-market/) - IEEE Spectrum AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-08-04*