As concerns about AI dependency grow, a debate is emerging in the psychiatric community: should AI addiction be recognized as a formal diagnosis in the Diagnostic and Statistical Manual of Mental Disorders (DSM)? To be clear, AI addiction is currently NOT included in the DSM and is not a recognized psychiatric diagnosis. The question of whether it should be mirrors earlier debates about internet addiction and gaming disorder, but with AI-specific considerations that make the discussion uniquely complex.

Arguments for Formal Recognition

  • Some researchers report growing numbers of people who may exhibit impairment from AI use
  • Formal recognition would enable insurance coverage for treatment
  • Clinical training programs would include AI addiction in curricula
  • Research funding would increase with official diagnostic status
  • Public awareness and destigmatization would benefit from formal recognition

Arguments Against

  • The technology is too new for sufficient longitudinal evidence
  • Existing categories (behavioral addiction, internet use disorder) may be sufficient
  • Premature pathologization could medicalize normal technology use
  • Diagnostic inflation may dilute the meaning of clinical addiction
  • AI evolves rapidly, making static diagnostic criteria quickly outdated

Lessons From Gaming Disorder

The WHO's inclusion of gaming disorder in the ICD-11 provides a precedent. That decision was controversial, took years of debate, and required substantial evidence. AI addiction may follow a similar trajectory—with initial resistance, accumulating evidence, and eventual consideration for inclusion in future diagnostic manual revisions.

The Middle Ground

Some researchers advocate for an intermediate approach: recognizing problematic AI use as a clinical concern worthy of assessment and treatment without requiring full diagnostic category status. This approach allows clinical response without premature classification.

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