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Turning Stranded Energy Into Intelligence: Crusoe CEO Chase Lochmiller Analytics Table

Income Estimates for Turning Stranded Energy Into Intelligence: Crusoe CEO Chase Lochmiller

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About Turning Stranded Energy Into Intelligence: Crusoe CEO Chase Lochmiller

Explore Turning Stranded Energy Into Intelligence: Crusoe CEO Chase Lochmiller with 53,674 views, 55 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

Chase Lochmiller runs one of the most operationally complex companies in AI: Crusoe builds power plants, manufactures electrical equipment, operates gigawatt-scale data centers, and runs a managed AI cloud on top, all under one roof. He just closed a round at a $31 billion valuation, and he got there by selling off the Bitcoin mining business that was paying the bills. Chase explains why Crusoe is modeled on Exxon, not a cloud provider, and why he partners with companies that look like competitors. He makes the case that a company that outgrows the person who got it there is the rule, not the exception, and that CEOs almost always fire too slowly. He also talks candidly about hiring a coach, working hard to become a polished speaker when it didn’t come naturally, and why the data center industry’s biggest problem is a marketing problem. I meet with a group of Sequoia founder CEOs between 20 and 2,000 employees, and one of them told me his business is becoming dizzyingly complex beneath him. Chase has the clearest answer I’ve heard for how to hold that in your head. And yes, we talk about summiting Everest. 0:00 – Introduction 2:12 – The boiling frog: how a founder holds a 2,000-person company in his head 8:16 – DRIs, the weekly staff meeting, and saying it until you're sick of it 11:19 – Urgency at scale: Elon's "change the world or die tomorrow" tension 14:55 – Startups die of suicide, not homicide 19:29 – Energy first: flared gas, Iceland hydro, and nuclear 23:26 – Bitcoin to AI was the plan all along 32:36 – Polish is learned: coaches, public speaking, and Felicis's self-improvement budget 37:48 – Firing too slowly, and when the company outgrows the person 42:39 – Welders and AI researchers, the data center backlash, and mining for bad news 50:54 – Everest: designing around the Khumbu Icefall's stochastic risk 57:31 – Brian's takeaways

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