AI MATURITY MUST OUTPACE AI CAPABILITY
Summary
A systems overview of technological adolescence and the dependencies surrounding AI. It argues that capability should not outrun governance, technical control, human judgement, economic adaptation, social meaning, or public legitimacy. It places capability, evidence, and governance inside a shared decision field.
What it maps
Capability, evidence, governance, control, human judgement, economic adaptation, public legitimacy, social meaning, dependencies, acceleration, reversibility, and accountability. It includes the feedback loops through which capability changes the practical meaning of evidence.
Why it matters
Capability growth can move risk downstream while institutions remain unprepared. Making maturity a leading requirement shifts attention from what can be built to what can be responsibly held. It supports proportionate action by keeping capability and evidence open to review.
This is an editorial interpretation of the ordered visual work. Display priority is a navigational choice, not an objective quality grade or proof claim.