On Job Tsunamis and Invisible Pockets of Vulnerability

Episode 2: The She-Session No One's Talking About

The Davos headlines screamed "job tsunami"—but whose jobs, exactly?

In this episode, we unpack the Brookings study that sliced the data everyone else missed: of workers in the most vulnerable quadrant—high automation risk AND lowest capacity to adapt—86% are women. Not truck drivers. Not coal miners. Medical secretaries. Insurance clerks. Receptionists. And nobody at Davos said a word about them.

We also dig into Anthropic's new Claude Constitution—what it means to give an AI a moral center, why Logan's college professor's definition of "institution" (where expectations converge) suddenly feels prophetic, and whether a corporate constitution can actually build trust with women who've been burned before.

Also in this episode:

• The IMF chief's "labor market tsunami" vs. Jamie Dimon's truck driver boogeyman—and why the framing is gendered
• OpenAI ads in ChatGPT vs. Anthropic's constitution: two very different visions for AI's future
• The Grok of it all (briefly, because Mara refuses to touch it)
• "Algorithmic loafing"—the research on why one correct AI answer makes you stop catching the wrong ones
• The boy vs. girl AI experiment: ask any LLM to predict a child's life trajectory and watch the million-dollar wage gap appear
• Entrepreneurs of necessity: what happens when women are locked out of the job market and told to "just reskill"
• Universal Basic Benefits > Universal Basic Income—and why decoupling healthcare from employment changes everything
• Logan's 10-minute exercise: benchmark yourself against the market (could you get your own job right now?)

Your assignment: Start a Womansplaining pod. Find 2-3 women. One hour a week, protected time. Do a skills audit together—ask each other "what are my superpowers?" Then pull up the Anthropic constitution and decide what's missing. That's it. That's the on-ramp.

Resources mentioned:

• Brookings Institution: "Measuring US Workers' Capacity to Adapt to AI-Driven Job Displacement" (Jan 2025)
• NBER paper on automation exposure (the one that forgot to mention women)
• Burning Glass Institute research on augmentation vs. automation
• Burning Glass data on college graduate underemployment
• Hard Fork podcast on ChatGPT advertising
• Logan's Substack on learning pods and community-based AI learning

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