Society · Trend
Worker Adaptability to AI-Induced Job Displacement
GovAI occupation-level adaptive capacity index for US workers facing AI-induced displacement.
Connections
Connections · 7
How this node ties into the rest of the map, and the evidence behind each link.
The Algorithmic-Human Manager framework addresses governance of AI-induced displacement in the gig economy, directly relevant to worker adaptability research.
+5 growthHCAI firm-level risk reduction findings complement research on worker adaptability by showing that human-centric AI strategies reduce investor uncertainty.
+5 growthHAT substitution conditions formalize when AI replaces labor, complementing adaptive-capacity labor research.
+5 growthOpenAI's wealth-sharing proposal is a policy response to concerns about AI-induced economic displacement of workers.
+4 growthHAT substitution conditions formalize when replacement occurs, complementing adaptive-capacity labor metrics.
+4 growthGovAI published research constructing an occupation-level adaptive capacity index for AI-induced job displacement.
+3 growthOpenAI's wealth-sharing proposal is part of the broader societal response to AI-induced economic displacement concerns.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
An OECD review of ~200 government AI use cases found 57% support automating or tailoring public services and 45% enhance decision-making — most still stuck in pilots.
OECD — Governing with AI →A Stanford payroll study found a 13% relative decline in employment for workers aged 22–25 in AI-exposed occupations since late 2022, while older peers held steady.
Stanford Digital Economy Lab →Microsoft reported AI-enhanced phishing reached a 54% click-through rate (4.5× traditional) and AI-generated fake IDs grew 195% globally in 2025.
Microsoft — Digital Defense Report 2025 →