Alex Imas isn’t mincing words. ‘Exposure alone is a completely meaningless tool for predicting displacement,’ he snaps.
That’s the Chicago economist gut-punching Silicon Valley’s favorite AI panic button. You know the drill — Anthropic’s Dario Amodei claims AI will sub humans in every job inside five years. His researcher buddy foresees recessions and shattered career ladders first. Grim stuff. And it’s got workers freaking, lawmakers flailing, even data-center pause campaigns gaining steam.
But here’s Imas, zooming out from the hysteria. Our tools for mapping AI’s job carnage? Abysmal. Forget those government task catalogs OpenAI and Anthropic mined — real estate agents at 28% exposed, coders whatever. Illustrative? Sure, for elevator operators vanishing decades back. Meaningless otherwise.
Look.
Most jobs aren’t all-or-nothing. Code a premium dating app? AI slashes your three-day slog to one. Boss pays same, gets triple output. Hire more? Fire some? Depends.
Price elasticity. That’s the beast. How much demand surges when prices crash thanks to AI efficiency. Dating apps cheaper — do millions pile in, needing extra coders? Or barely a blip, cue layoffs? Repeat for tutors, dietitians, web devs. We track it for cereal at the supermarket. Not services. Blind spot city.
Why Price Elasticity Trumps Task Exposure Every Time?
Imas calls it a ‘call to arms’ for economists. Collect this data now, or policymakers sleepwalk into chaos. He’s right — but let’s add my two cents: this echoes the spreadsheet revolution in 1980s accounting. Productivity exploded; firms hired more analysts for complex models, not fewer. Except in rote shops, where heads rolled. AI? Bigger, messier. Without elasticity stats, we’ll repeat rust-belt blunders — reactive bailouts after factories ghost.
Skeptics pocket efficiency gains? Competitive markets force price cuts, or rivals eat lunch. But demand response? Varies wildly. Grocery staples: elastic, sales boom on discounts. Niche consulting? Maybe not. AI floods coders with tools — if app demand inelastic, engineering bloat turns bust.
And the PR spin from AI labs? ‘Productivity boon!’ they crow. Sure. Until it isn’t.
This.
Imas shared this Friday. Tools suck. Data drought kills.
Will AI Job Panic Lead to Dumb Policy?
Lawmakers? Zilch coherent. Pause data centers? Cute protest. No plan for the aftermath. Economists warming to AI’s ‘unique’ punch — unprecedented speed, breadth. But without elasticity maps, it’s guesswork. Prediction: firms in elastic markets (entertainment? Boom time) expand. Inelastic (legal research? Oof) shrink. Net? Recession first, as Amodei predicts, then uneven rebound. Early-career ladder? Splintered — juniors compete with AI for grunt work, vets thrive on oversight.
Corporate hype calls it ‘augmentation.’ Bull. Substitution where cheap. My insight: history’s parallel isn’t elevators — it’s cars killing carriage makers, but spawning mechanics, roads, oil. AI births agent overseers, data labelers? Maybe. But elasticity dictates scale. Ignore it, and we’re subsidizing yesterday’s jobs tomorrow.
Economists, wake up. Partner with platforms — track AI-boosted service prices, demand shifts. Chicago does groceries; scale to Upwork, Fiverr. Urgent.
Workers? Hedge. Learn AI wrangling. Those tasks? Automatable. The meta-skills? Not yet.
Silicon Valley orbits this doom loop. Time to ground it in data.
“Exposure alone is a completely meaningless tool for predicting displacement,” he told me.
Damn straight.
What Happens Without This Data?
Dark days selective. Coders in hot markets thrive; cold ones, toast. Tutors for elite kids? Safe. Mass ed? AI swarm. No elasticity intel means no targeted retraining, UBI debates blind. Governments flail — tax AI firms? Universal income? Guesses.
Bold call: five years, elasticity databases emerge, or we botch it worse than gig economy’s wage crash. Labs resist sharing — profits at stake. Force ‘em via policy.
Panic sells newsletters. Data builds futures.
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Frequently Asked Questions
What is price elasticity and why does it matter for AI jobs?
It’s how demand changes with price drops from AI efficiency. Tells if productivity gains mean more hires (demand surges) or layoffs (demand flat).
Does AI exposure predict job loss?
Nope. Tasks automatable? Only matters if cheaper, better, and demand doesn’t offset.
Will AI cause mass unemployment soon?
Recession likely first. Then uneven — elasticity per sector decides winners, losers.
