What no one’s talking about: The AI projects that crashed & burned.

I’m not talking about experimental startups. I mean massive companies, with massive budgets, that still failed. Not because AI doesn’t work. Because they launched too fast.

No strategy. No audit. No real-world testing. I see the same thing happening today. Teams rushing to “just integrate something with AI” to stay competitive.

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But when you skip the foundation?

It always comes back to bite you & it’s 10x more expensive to fix once it’s live.

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Five real-world AI failures and what they teach us:

1. McDonald’s: The drive-thru bot that ordered 260 nuggets
2. Amazon: The hiring tool that filtered out women
3. IBM Watson: The cancer AI that gave dangerous advice
4. Microsoft Tay: A chatbot that turned racist in 24 hours
5. Clarifai: A military project with a silent data breach

This isn’t finger-pointing. It’s a wake-up call for anyone building with AI right now.

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3 takeaways every AI leader should remember:

• Big budgets don’t protect you from bad strategy.
• The tech isn’t the issue, poor planning is.
• If you can’t explain the value of your AI, you’re not ready to deploy.

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SensAI, Agentic AI Dojo