Two AI CEOs predicted mass layoffs years ago. The layoffs still haven't shown up in the national data, but Miami isn't waiting to find out.
Nearly three years ago, OpenAI's Sam Altman suggested AI could eliminate up to half of all existing jobs. "I think that's good," he said at the time. "We'll find new and better jobs."
What the National Numbers Actually Show
Anthropic's Dario Amodei went further last year. He forecast AI could destroy half of entry-level positions and push unemployment to 10-20% by 2030.
So far, neither prediction matches the data. August job growth beat Wall Street's expectations, and the national unemployment rate held at 4.1%, a low figure by historical standards.
Altman himself has started backtracking. "The economy just has so much inertia," he said recently, admitting the AI transformation is moving slower than he expected.
A Yale Budget Lab analysis backs that up directly. "The occupational mix is not yet changing in ways that clearly align with the introduction of AI into the workforce," researchers reported.
Why the Predicted Cuts Haven't Materialized
A McKinsey survey found 40% of large businesses now deploy AI agents, up from 27% last year. But actual job cuts tied to AI came in far below expectations.
Just 14% of AI-using organizations reported actual AI-related job reductions this year. That's down from the 32% who expected cuts when McKinsey surveyed them in 2025.
One theory is that many jobs are more resistant to automation than assumed. Radiologists, for instance, do far more than read scans, they coordinate with surgeons and make judgment calls AI still struggles with.
Miami's Own Exposure Looks Different
MAIN has reported that an MIT labor exposure map estimates AI models could perform work equivalent to 360,000 Miami-area jobs. That's roughly 14% of the local workforce.
That's a real gap between the reassuring national picture and Miami's specific exposure. Customer service, administrative and entry-level roles, the categories most concentrated in South Florida's tourism economy, remain the most exposed nationally too.
The Bet Miami Is Making Anyway
Miami Dade College isn't waiting to see which national trend eventually wins out locally. Its Applied AI degree track was built specifically for workers moving into roles AI is reshaping.
That's a hedge against both possible futures. If the national data holds and job apocalypse keeps getting postponed, AI literacy still helps workers compete. If Miami's higher exposure numbers prove right instead, that training becomes essential rather than optional.
What Comes Next
Economists studying the labor share of income point to a separate warning sign. It's fallen to a historic low of 52.8%, even before AI's full effects show up in the data.
For Miami's workforce, the reassuring national numbers and the region's own exposure estimates are both true at once. Neither has to be wrong for the other to matter.
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