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The World Economic Forum's Future of Jobs Report projects AI will create 170 million new jobs by 2030, against 92 million displaced, for a net gain of 78 million [PROJECTION, from a 1,000+ employer survey across 55 economies]. Almost everyone has heard the displacement number. Almost nobody can name one of the 170 million, because the creation half of that story never traveled the way the destruction half did. Two days after Dat Nguyen's story of falling through exactly this kind of gap, this episode names the shape of it: four real tiers of AI-era work hiring right now.

Carlo and Ainsley map infrastructure and operations (the data center trades boom and the union pipelines that lead into it), the AI trainer/evaluator/red-teamer tier (domain experts, not coders, catching AI being confidently wrong), the AI-augmented professional (same job title, meaningfully more pay for the version of you that works fluently with the tools  PwC finds these "professionalized" roles growing twice as fast with 42% faster wage growth [OBSERVED]), and AI governance and compliance (driven by regulatory deadlines rather than philosophy). Along the way: why 120 million workers sit inside the WEF's own "good news" number and still won't get reskilled in time, and why the same employers who told the WEF 77% of them plan to upskill their workforce also told them 41% plan to cut headcount anyway [PROJECTION].

The honest complication closing the episode: none of this looks the same depending on where you live. The ILO and World Bank's joint research across 135 countries found that disruption often reaches workers before the dividend does. This week's call to action: run the honest inventory. Which of the four tiers are you actually closest to not with what you're planning to get, but with what you already have?

Chapters below. Surviving AI publishes every Monday and Wednesday. Subscribe on Apple Podcasts, YouTube, or Spotify so you don't miss Tier 1's full deep dive in S6E2.


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