Your Schedule Is Your Job — How AI Affects Job Fit
What if the job you have today quietly becomes the job you never agreed to take?
In this solo episode, Jason Baumgarten breaks down one of the most underestimated risks facing leaders right now: not job replacement, but job transformation. Drawing on history, academic research, and real examples from his work in executive search, Jason explains how AI and automation are quietly unbundling roles from the inside out — and why your calendar tells more truth than your job description. He introduces a practical three-column exercise to help leaders map what's coming, and challenges every professional to ask not just "is this the right role?" but "is this role becoming what I want?"
Key Takeaways:
- The real AI risk for most leaders isn't replacement — it's being left with the parts of your job you don't enjoy
- Job titles stay fixed while the substance of work underneath them changes dramatically
- The Luddites weren't anti-technology — they were reacting to the loss of craft, dignity, and meaning in their work
- AI doesn't just automate tasks; it codifies tacit knowledge from your best people and distributes it to everyone
- The most valuable future leaders will be defined by discernment — knowing when something is wrong, naive, or just buzzwords
- Careers drift out of fit gradually and then suddenly, much like Hemingway's description of bankruptcy
- Boards and hiring teams often define the next leader by the last job — a costly misread of what the role is becoming
- Generic competency models ("strategic, collaborative, transformational") fail because they don't tell you what a leader will actually be doing
- McKinsey research confirms this wave of AI disruption hits knowledge work — not just factories and call centers
- The three-column exercise: map what gets automated, what becomes more valuable, and what's left over — then ask if you want that job
Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm
00:00 Introduction & the AI fear no one talks about
01:45 What "the composition of work" really means
04:10 The job title stays — the job underneath changes
06:30 The real story of the Luddites
09:00 Unbundling roles: what gets automated, what disappears
11:20 Why careers drift out of fit without warning
13:00 Work happens in verbs, not nouns
15:10 MIT research: task exposure and automation
17:30 If your distinctive strength gets automated
19:00 Generative AI: utopian vs. apocalyptic narratives
21:15 AI studies on customer support productivity
23:40 Tacit knowledge, bottled and distributed
26:00 What "best" means for leaders going forward
28:20 Hemingway, bankruptcy, and career drift
30:00 The executive whose strength became a trap
34:00 Succession: hiring for the last job vs. the next one
37:10 Why generic competency models fail
39:30 McKinsey on AI and knowledge work
41:45 Discernment: the skill that will matter most
44:00 The electricity factory analogy
46:30 How to redesign your work, not just your tools
48:00 The residue question: what's left, do you want it?
50:20 Executive search and evaluating AI fluency
53:00 Efficiency is not effectiveness
55:30 Your calendar is closer to the truth
57:00 The three-column exercise explained
61:00 Column one, two, and three — what each means
63:30 Closing: find the gradual before the sudden
Email the show here: fithappens.fm
00:00 Introduction & the AI fear no one talks about
01:45 What "the composition of work" really means
04:10 The job title stays — the job underneath changes
06:30 The real story of the Luddites
09:00 Unbundling roles: what gets automated, what disappears
11:20 Why careers drift out of fit without warning
13:00 Work happens in verbs, not nouns
15:10 MIT research: task exposure and automation
17:30 If your distinctive strength gets automated
19:00 Generative AI: utopian vs. apocalyptic narratives
21:15 AI studies on customer support productivity
23:40 Tacit knowledge, bottled and distributed
26:00 What "best" means for leaders going forward
28:20 Hemingway, bankruptcy, and career drift
30:00 The executive whose strength became a trap
34:00 Succession: hiring for the last job vs. the next one
37:10 Why generic competency models fail
39:30 McKinsey on AI and knowledge work
41:45 Discernment: the skill that will matter most
44:00 The electricity factory analogy
46:30 How to redesign your work, not just your tools
48:00 The residue question: what's left, do you want it?
50:20 Executive search and evaluating AI fluency
53:00 Efficiency is not effectiveness
55:30 Your calendar is closer to the truth
57:00 The three-column exercise explained
61:00 Column one, two, and three — what each means
63:30 Closing: find the gradual before the sudden
