In 2017, Tesla set out to build a car factory so automated that people would barely be needed. The target was five thousand Model 3s a week. Across the entire third quarter, the line produced 260 cars. It remains the best-documented attempt we have at replacing people with machines at scale, which makes it the right place to start if you're worried about AI replacing jobs. The popular version of this story is a redemption arc. Musk owns the mistake, tears out the machines, puts people back on the line, and production recovers. All of that happened. It's also the least transferable lesson in the story, because the fix only worked for a reason most organizations won't have next time: the skill was still in the building. What I study is where teams actually build judgment, and the answer is almost never the training program. It's the routine, repetitive work — exactly the work that's easiest to automate. A five-page paper from 1983 explained why that's a trap, and Ford recently ran into it with AI, after years of quietly losing veteran engineers to ordinary attrition. This video covers what broke at Tesla, the research that explains it, what Ford faced next, and two questions to ask before you automate anything on your team. // NEWSLETTER Want to build your best team ever? Join 25,000+ leaders who receive these insights in my free newsletter: https://davidburkus.com/podcast // CHAPTERS 0:00 Everyone's worried about the wrong AI risk 2:44 Tesla & The Alien Dreadnought 6:57 The Ironies Of Automation 11:19 Automate Last 17:05 Ford & When The Bill Comes Due // LEADERSHIP LESSONS - Automation doesn't shrink the human role — it concentrates it into the exceptions nobody designed for - The danger of AI isn't losing the job, it's losing the place people learned to do it - Ask what someone learns from a task before asking whether a tool can do it - Treat routine work as tuition, not overhead — it's where pattern recognition gets built - A process can be un-automated in a season; a talent pipeline has to be rebuilt one person at a time - Expertise rarely leaves by decision. It leaves at a normal rate, and no dashboard reports it. If you're rolling out AI on your team, planning around retirements, or wondering where your next experts will come from, this isn't a car story. It's a warning with a checklist attached. Comment below: what routine work taught you the most early in your career? // SPEAKING Like what you heard? Learn more or find out how to bring me to your company or event: https://davidburkus.com/keynote-speaker/ // ABOUT DAVID One of the world’s leading business thinkers, David’s forward-thinking ideas and bestselling books are changing how companies approach leadership, teamwork, and collaboration. An organizational psychologist and professor at Columbia University, Dr. David Burkus is the bestselling author of five books about business and leadership. His books have won multiple awards and have been translated into dozens of languages. Since 2017, David has been ranked multiple times as one of the world’s top business thought leaders. His insights on leadership and teamwork have been featured in the Harvard Business Review, The New York Times, CNN, the BBC, NPR, and CBS Mornings. David now works with leaders from organizations across all industries, including PepsiCo, Fidelity, Adobe, and NASA. David’s keynotes aren’t just entertaining and enlightening—they’re evidence-based and immensely practical, offering leaders at all levels a set of actionable takeaways they can implement immediately. //CONNECT LinkedIn: https://www.linkedin.com/in/davidburkus/ Twitter: http://www.twitter.com/davidburkus Facebook: http://www.FB.com/DrDavidBurkus Instagram: https://www.instagram.com/DavidBurkus