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Long-term Lock-in

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Page Type:AI Transition ModelStyle Guide →Structured factor/scenario/parameter page
Last edited:2026-01-03 (4 weeks ago)
Critical Insights (1):
  • NeglectedLock-in risks may dominate takeover risks: AI systems could entrench values/power structures for very long periods without any dramatic 'takeover' event.S:3.5I:4.5A:3.5
ATM Scenario

Long-term Lock-in

Model RoleDegradation Scenario
Primary DriversAI Ownership, Civilizational Competence
Sub-scenariosValues lock-in, Power lock-in, Epistemic lock-in

Long-term Lock-in refers to scenarios where AI enables the permanent entrenchment of certain conditions - whether values, power structures, or epistemic environments. Unlike acute catastrophes, lock-in may unfold gradually and may not be immediately recognized as harmful.

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ScoreFactorNote
85 AI OwnershipOwnership patterns directly shape what gets locked in
80 AI UsesWhere AI is deployed determines what structures get entrenched
75 Civilizational CompetenceHigh competence could enable good or bad lock-in
70 AI CapabilitiesMore capable AI makes lock-in scenarios more feasible
60 Misalignment PotentialMisaligned AI could lock in bad values or power structures
40 Transition TurbulenceCrisis can entrench emergency powers and structures
35 Misuse PotentialMisuse could trigger authoritarian responses

Unlike other scenarios, lock-in is not inherently negative:

PoleDescription
PositiveBeneficial values and institutions stabilized, protected from degradation
NegativeAuthoritarian control, harmful ideologies, or stagnation permanently entrenched

Long-term Lock-in primarily affects:

  • Long-term Trajectory: The quality and character of the post-transition future
  • May contribute to Existential Catastrophe if lock-in prevents course correction