{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Fit Happens: Why CEOs and Leaders Succeed or Fail","title":"No One Works Here: What AI Actually Changes About Work","html":"","width":"100%","height":180,"duration":4978,"description":"MIT built a job title from scratch because Paul Cheek didn't fit any that existed. Now he's ranking the S&P 500 on AI maturity, and the results may surprise you. We get into why AI literacy has to come before AI strategy, why the best managers may not be the ones who make you feel good, and why human fit still matters in a world full of capable agents. Paul also breaks down the four types of AI adopters he found in corporate America and why some of the loudest companies about AI are doing the least.\n\nKey takeaways:\nWhy \"no one works here\" doesn't mean nobody has a job, it means the nature of work has changed\nThe four characteristics Paul uses to evaluate any AI opportunity\nWhy AI literacy has to come before AI strategy, governance, or data cleanup\nThe real difference between a personal AI swarm and shared agency across a team\nWhy good middle management may be the most underrated skill in an AI-native organization\nWhat Paul's S&P 500 AI maturity research revealed about the gap between what leaders say and what their companies actually do\nWhy human fit and self-awareness still matter even as AI absorbs more of the work\nWhy the biggest competitive risk isn't AI replacing workers, it's AI-native companies replacing entire organizations\nConnect with Jason: https://www.linkedin.com/in/jasonbaumgarten/\nEmail the show here: jason@fithappens.fm\n00:00 Cold open: the MIT job that didn't exist\n01:11 Introducing Paul Cheek and the book's premise\n02:16 Paul's early years and entrepreneurial roots\n04:50 Becoming MIT's first hacker in residence\n07:04 The real success rate of startups\n10:43 Why the unemployed are learning AI fastest\n13:42 What Paul brings to the classroom that a PhD doesn't\n16:40 Boards, risk, and the risk of not using AI\n19:32 Reinventing work instead of automating the cow paths\n20:22 Why AI actors demand organizational redesign\n22:13 Adjusting the bar for AI agents versus humans\n23:13 The $225 million simulation and the phishing twist\n25:24 From doing the toil...","thumbnail_url":"https://img.transistorcdn.com/0AtGMO0HN5UCZe2_wf8pfE5Ad7xGwtuc4BOCVD_dVlA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNTdl/MDY2MDQyMDAzMmFk/MWIzNjMwMzMwZjFh/NTRmMS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}