ABOUT THIS EPISODE
This week I went looking for four stories that, at first glance, have nothing to do with each other. AI, career advice, customer complaints, and a fatal self-driving car accident. The more I dug in, the clearer the thread became. We live in a world obsessed with shortcuts, and in all four cases the shortcut sends the bill later, not now.
What you will learn:
- Why an MIT Sloan professor argues that if you cannot think without AI, you might not be thinking at all
- What a 2016 study on generalists and specialists actually has (and does not have) to do with 2026 hiring data
- How a hospital in Switzerland turned patient complaints into an innovation lab instead of treating them as noise
- Why a fatal 2018 self-driving Uber accident still teaches something about how leaders handle blame today
In the first topic, I bring the concept of "AI gravity" from Professor Eric So (MIT Sloan), the constant pressure to outsource thinking to a machine in the name of efficiency, and a data point (still under peer review) showing 83 percent of people unable to quote a single sentence from a text they wrote with AI help minutes earlier.
In the second, I put a classic 2016 study (Harvard Business Review), which found generalists get more job offers, side by side with the 2026 PwC Global AI Jobs Barometer, which shows the opposite happening exactly where AI touches the labor market most: more depth, not less, is getting rewarded.
In the third, I bring research from Lohyd Terrier and Béatrice Schaad Noble (MIT Sloan Management Review) on how Vaud University Hospital in Switzerland has treated patient complaints as data, not disruption, for over a decade.
In the fourth, I use research from François-Xavier de Vaujany and Aurélie Leclercq-Vandelannoitte (MIT Sloan Management Review) on narrative responsibility, starting from the real case of a fatal self-driving Uber accident in Tempe, Arizona, in 2018, to show why hunting for one person to blame almost never fixes the real problem today.
I close the episode with one question: this week, which of these four shortcuts are you going to stop taking?
Sources:
- Eric So, "AI Gravity Is Pulling You Toward Dependency," MIT Sloan, June 2026
- Kosmyna et al., "Your Brain on ChatGPT," MIT Media Lab, preprint 2025
- Nicole Torres, "Generalists Get Better Job Offers Than Specialists," HBR, June 2016
- "2026 Global AI Jobs Barometer," PwC, June 2026
- Lohyd Terrier and Béatrice Schaad Noble, "Turn Customer Complaints Into Innovation Blueprints," MIT Sloan Management Review, Spring 2026
- François-Xavier de Vaujany and Aurélie Leclercq-Vandelannoitte, "Rethink Responsibility in the Age of AI," MIT Sloan Management Review, April 2026
