Why Do AI Projects Fail?

85% AI projects fail, 6 reasons why

Elaine Lu
Towards Data Science
9 min readApr 30, 2024

--

by Author

Beneath apirational headlines and explosive technical advances, AI projects have a poor track record. Gartner, HBR estimates up to 85% AI projects fail before or after deployment, double the rate for software.

It’s well known AI is harder to deploy than software. AI has indeterministic outcomes. AI experiences capability uncertainty in…

--

--