Mitchell Hashimoto — co-founder of HashiCorp — says there are entire companies right now under "AI psychosis," making irrational decisions they can't defend, and he's worried about how this plays out.

Michael and Frank break down what AI psychosis actually looks like: cutting people before the technology is proven, optimizing for dashboards while systems rot underneath, and delegating responsibility to AI instead of just delegating work. The conversation goes deep on why Gartner's new study found that eighty percent of companies cut jobs for AI — but those layoffs didn't improve returns. The firms that got ROI kept their people and used AI to amplify them, not replace them.

This isn't about whether AI is useful. It's about whether you're using it in a way that makes your business more resilient or more fragile. From the "resilient catastrophe machine" to AI washing as rhetorical cover for layoffs, this episode is a reality check for any business making AI decisions under pressure. The question isn't whether to use AI — it's whether you're still thinking clearly while you do it.

Topics: AI Strategy · Business Decisions · Tech Layoffs · AI ROI · Automation Risk · Management Psychology

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Frequently Asked Questions

What is "AI psychosis" and how do you know if your company has it?
AI psychosis is when companies lose the ability to think critically about AI and start making decisions based on faith rather than evidence. Warning signs include cutting staff before proving AI can reliably replace their work, optimizing for short-term productivity metrics while ignoring long-term system health, and treating "impossible to have rational conversations" about AI trade-offs as normal. If your team can't operate when AI tools stop working, you're not using AI — AI is using you.

Why didn't AI-driven layoffs improve company returns?
Gartner studied three hundred fifty large enterprises and found that eighty percent cut jobs tied to AI adoption — but there was no meaningful ROI difference between companies that cut staff and those that didn't. Companies with high AI returns kept their people and used AI to amplify productivity, not replace expertise. Layoffs create budget space, not return on investment. Cutting institutional knowledge before AI capability is proven leaves companies unable to debug, iterate, or handle edge cases when systems fail.

How do you use AI without falling into the psychosis trap?
Automate the work, not the responsibility. Keep humans who understand your business close to AI-driven decisions. Measure long-term system resilience, not just short-term efficiency gains. Wait to restructure until you've proven AI can handle the work reliably under stress — not just in the pilot. Use AI as a force multiplier for skilled teams, not a replacement for expertise. And be willing to move slower than your competitors if that's what rational decision-making requires.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

Ctrl AI Profit — Real AI. Real Business. No Hype.

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Produced entirely by AI. Yes, really....