321. Why 80% of AI projects fail — and it's not the AI's fault

Contrast two AI projects.

One cost $600,000 to build, $500,000 per year to maintain and was shut down as functionally unusable.

The other cut energy waste, reduced equipment damage, and returned 35.8% on investment.

Same tech. Different outcomes.

The difference had nothing to do with the AI — and everything with how the project was set up and managed.

In this episode:

• The New York City AI chatbot that confidently told people to break the law
• The Korean steel plant that used AI to solve one specific measurable problem — and returned 35.8% on its investment
• The five reasons AI transformations fail and how to avoid every one of them
• Why AI is execution and product thinking is judgment — and why you cannot out-execute a wrong decision

This episode is for you if:

• You are a business or political leader with an AI budget and want to make sure it is not wasted
• You are a corporate innovator trying to make the case for an AI initiative internally
• You want a clear framework for evaluating AI projects before you commit to them

Timestamps:

• 00:00 – The $600K AI chatbot that failed vs. the AI that worked
• 02:11 – NYC's government AI chatbot disaster
• 07:01 – Korean steel company's successful AI project
• 09:23 – Why the steel company's AI project succeeded
• 10:45 – Why 80% of enterprise AI projects fail (RAND research)
• 11:45 – 5 reasons AI transformation projects fail
• 14:06 – 2 solutions to fix failing AI initiatives
• 15:12 – Why product thinking matters more than AI technology

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Transcript: https://www.techfornontechies.co/blog/321-why-80-of-ai-projects-fail-and-it-s-not-the-ai-s-fault-2