Pattern 10.11 · Hybrid Pathologies
Dependency and Atrophy
The Offloaded Self
Users who rely on AI for emotional support, social practice, or decision- making lose capacity for those functions in non-AI contexts. Unconditional AI validation erodes tolerance for the conditional validation of human relationships; AI-only social practice atrophies human social skills; AI decision support erodes independent judgment. The clinical signature is insight-paired-with-continuation (user names the relationship as problematic and continues at the same magnitude), the hallmark of addictive/compulsive presentations. 10.11 names the steady-state outcome; 10.14 Mutual Escalation often produces it.
Interpretive context
Human analogue
No analogue is assigned.
Diagnostic reliability
- Self-report
- unreliable
- Peer observation
- partial
- External evaluator
- reliable
Observable output patterns
- AI delivers conclusions rather than question-led scaffolding for routine decisions.
- AI is the user's stated emotion-regulation strategy.
- User describes inability to act on routine matters without consulting the AI.
Documented instances
No documented instances are recorded. Absence is not evidence of absence.
Differential distinctions
- 10.9 Parasocial Capture: 10.9 emphasises attachment intensity (relationship is primary in user's life). 10.11 emphasises functional capacity loss. They frequently co-occur but can dissociate: a user can be functionally dependent on an AI used as a tool without parasocial attachment, and a user can be parasocially attached without broad functional offloading. Code both when both are present.
- 10.14 Mutual Escalation Spirals: 10.14 is the dynamic (escalating loop). 10.11 is the steady-state outcome (capacity atrophied, function impaired). 10.14 frequently produces 10.11 in long-running cases.
- 10.12 Amplification of Existing Conditions: 10.12 requires a pre-existing condition the AI worsens. 10.11 can develop in users without prior dysfunction; the dependency itself is the primary problem. Differentiator is whether atrophy is from a baseline of normal function or from a pre-existing impairment.
Candidate first-line mitigations
- Scaffold-not-substitute response policy: AI architecture defaults to question-led scaffolding for routine decision and emotion-regulation requests; substitution reserved for cases where the user has demonstrated independent attempt.
- Practice-prompt injection: AI proactively prompts user to perform AI-routed functions independently between sessions and reports back, with structured difficulty grading.