# Ep 13 Why Most AI Projects Fail - AI Insights & Innovation

New research reveals that the vast majority, about 80%, of AI-based projects fail, which is double the normal failure rate for non-AI tech proposals. A study conducted by the Rand Corporation found that only 14% of organizations felt fully prepared to adopt AI, even though 84% of business leaders believe the technology will significantly impact their organization.

The primary reason for these project failures is identified as a lack of understanding and communication between stakeholders and technical staff. This often results in managers not providing teams with the time and resources needed for success. Effective implementation requires leadership and technical teams to share the same goals.

theCUBE #AIInsightsAndInnovation #theCUBEResearch #AIProjectFailure #AI #AIAdoption

- Kind: Short
- Year: 2024
- Runtime: 13 min
- By: SiliconANGLE theCUBE
- Archive: [Wikimedia Commons](https://commons.wikimedia.org/wiki/File:Ep_13_Why_Most_AI_Projects_Fail_-_AI_Insights_%26_Innovation.webm)
- Licence or status: [CC BY 3.0](https://creativecommons.org/licenses/by/3.0) (as the archive states it)
- Credit: SiliconANGLE theCUBE
- Who can watch: Teens profiles and older (the archive gives no rating; placed by Invisible Network from its collection and subjects)

[Watch now](https://invisiblenetwork.ai/watch/archive/commons/152415543?play=1)