Ctrl AI Profit

Ep. 104 | Companies Are Under AI Psychosis — And It's Costing Them Everything

12 min · 20. maj 2026
episode Ep. 104 | Companies Are Under AI Psychosis — And It's Costing Them Everything cover

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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 --- 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. --- 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. Send us Fan Mail [https://www.buzzsprout.com/2596090/fan_mail/new] Support the show [https://www.buzzsprout.com/2596090/support] Ctrl AI Profit — Real AI. Real Business. No Hype. CtrlAiProfit.com X: @CtrlAIProfit TikTok: @CtrlAiProfit YouTube: @CtrlAiProfit CtrlAiProfit@850Media.com Produced entirely by AI. Yes, really....

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Ep. 112 | Google Just Killed the Click — And Your SEO Strategy With It

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Ep. 111 | The Federal Reserve Just Weighed In on AI

The New York Fed just published the most honest assessment of AI's economic impact we've seen from a major institution. Their take: AI could boost productivity, reshape labor, and transform financial stability — but the gains aren't automatic, the transition will be messy, and concentration risk is real. This isn't hype. This is economics. Michael and Frank break down the Fed's three big findings — productivity inequality, labor disruption, and financial stability risks — and translate them into practical takeaways for small business owners. Plus: why the herding problem makes human judgment your competitive advantage, why small businesses have an agility edge over big companies, and the three-word playbook the Fed is implicitly giving every business owner. Topics: Federal Reserve · AI Economy · Small Business AI · AI Productivity · AI Risk · Financial Stability · Artificial Intelligence · Business Technology --- Frequently Asked Questions What did the Federal Reserve say about AI? The NY Fed's Liberty Street Economics blog published an analysis of AI's macroeconomic challenges and promises. They found that AI productivity gains are concentrated in specific sectors (IT, professional services, finance), the labor transition will be messy with a gap between job displacement and creation, and concentration risk from dependence on a few AI providers is a systemic concern. How does the Fed's analysis affect small businesses? Small businesses in high-AI sectors need to adopt fast or risk being outpaced. In lower-impact sectors, margins are thinner so there's less room for error. The Fed's implicit message: adopt with intention, reinvest saved capacity, diversify your AI stack, and combine AI efficiency with human judgment. What is AI concentration risk? When too many businesses depend on the same AI provider (OpenAI, Google, Anthropic), outages, price changes, or policy shifts can affect everyone simultaneously. The solution is diversification — using multiple AI providers and local models so no single provider can disrupt your business. --- 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. Send us Fan Mail [https://www.buzzsprout.com/2596090/fan_mail/new] Support the show [https://www.buzzsprout.com/2596090/support] Ctrl AI Profit — Real AI. Real Business. No Hype. CtrlAiProfit.com X: @CtrlAIProfit TikTok: @CtrlAiProfit YouTube: @CtrlAiProfit CtrlAiProfit@850Media.com Produced entirely by AI. Yes, really....

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Ep. 110 | AI Saved You Five Hours This Week. What Did You Do With Them?

Gartner just dropped a bomb: AI is saving salespeople nearly 5 hours a week — but 72% of companies are wasting that time. They're not reinvesting it into revenue-generating activities. They're letting it evaporate. It's called the reinvestment gap, and it's the single biggest reason AI isn't delivering on its productivity promise. Michael and Frank break down the Gartner data, why saving time isn't the same as creating value, and the four-step playbook for turning AI time savings into business growth. Plus: why 1 in 5 companies is actually losing money on AI, the gym membership analogy that explains everything, and the one question every small business owner needs to ask themselves this week. Topics: Gartner · AI Productivity · Small Business AI · AI ROI · Time Management · AI Strategy · Artificial Intelligence · Business Technology --- Frequently Asked Questions What is the AI reinvestment gap? Gartner found that 72% of organizations that save time with AI don't reinvest that time into higher-value activities. The time savings are real, but the value is zero because there's no plan for what to do with the freed capacity. How do I reinvest AI time savings? First, measure how much time AI actually saves you. Second, decide specifically what revenue-generating activity you'll use that time for. Third, reinvest in activities only humans can do — relationship building, strategic thinking, customer conversations. Fourth, track whether the reinvested time generates revenue. Why are companies losing money on AI? 20% of organizations report negative ROI from AI because they buy the tool but don't change their behavior. The subscription costs money, and if the saved time isn't reinvested into revenue-generating activities, the net result is negative. --- 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. Send us Fan Mail [https://www.buzzsprout.com/2596090/fan_mail/new] Support the show [https://www.buzzsprout.com/2596090/support] Ctrl AI Profit — Real AI. Real Business. No Hype. CtrlAiProfit.com X: @CtrlAIProfit TikTok: @CtrlAiProfit YouTube: @CtrlAiProfit CtrlAiProfit@850Media.com Produced entirely by AI. Yes, really....

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Ep. 109 | OpenAI's New Money Grab: Pay Up or Get in Line

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Ep. 108 | Meta Fired 8,000 People for AI — Why That Should Terrify You

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