Society · Concept
Post-Instrumental Learning and Capacity Dissolution Risk
Argues education must preserve end-setting, reason-giving, contestability, refusal, and participation when AI produces competence artifacts.
Forecast horizon
Assessment redesign from polished outputs to accountable AI-mediated process.
Connections
Connections · 7
How this node ties into the rest of the map, and the evidence behind each link.
to · constrains 4/10
AI Productivity Claims in the Public Sector If learning’s purpose is capacity preservation, public-sector productivity claims based on AI-produced artifacts are incomplete success metrics.
+4 growth to · drives 3/10
Generative AI Erosion of Human Temporal Learning Capacity dissolution thesis extends concerns that generative AI erodes human learning and institutional competence formation.
+3 growth to · drives 3/10
AI Chatbots' Impact on Human Cognitive Control Capacity-dissolution thesis extends cognitive-impact concerns from chatbot use to institutional learning and assessment.
+3 growth from · frames 3/10
Asymmetric Communication: LLMs and Language Games Asymmetric communication denies machine normative standing, reinforcing that learning must preserve human authority over purposes and responsibility.
+3 growth to · frames 3/10
Asymmetric Communication: LLMs and Language Games Both relocate responsibility to humans: learning must preserve human authority over purposes while LLMs lack discursive standing.
+3 growth to · supports 3/10
Flourishing Value Theory (FVT) for Post-AGI Economics Both reframe progress away from automatable outputs toward durable human capabilities and flourishing.
+3 growth from · informs 3/10
Asymmetric Communication: LLMs and Language Games If only humans bear discursive responsibility, education must preserve human judgment capacities under AI output abundance.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
AI in government Sep 2025
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 → Labor signal Nov 2025
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 → Information integrity Oct 2025
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 →