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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