JobRiskAI

Psychiatric Technicians

SOC 29-2053Healthcare PractitionersData vintage 2026-07
Minimal exposure AI applicability score 0.062, higher than 17% of the 785 occupations measured · #56 most exposed of 69 in Healthcare Practitioners

AI is not doing this work today.

This occupation's activities barely register in measured AI usage. Generative AI is not doing this work today. The pressures that matter here are more likely economic or robotic than linguistic.

Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.

What this job involves

Care for individuals with mental or emotional conditions or disabilities, following the instructions of physicians or other health practitioners. Monitor patients' physical and emotional well-being and report to medical staff. May participate in rehabilitation and treatment programs, help with personal hygiene, and administer oral or injectable medications.

Where AI overlaps this work, activity by activity

The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.

Work activityShare of roleAI performance
Provide support or encouragement to others.13.1%Moderate 0.60
Treat injuries, illnesses, or diseases.11.4%Not observed 0.00
Confer with healthcare or other professionals about patient care.11.3%Not observed 0.00
Administer therapeutic treatments.11.0%Not observed 0.00
Assist healthcare practitioners during medical procedures.11.0%Not observed 0.00
Train others on health or medical topics.9.3%Not observed 0.00
Maintain health or medical records.9.1%Not observed 0.00
Examine people or animals to assess health conditions or physical characteristics.5.1%Not observed 0.00
Operate medical equipment.5.1%Not observed 0.00
Assist individuals with special needs.4.9%Not observed 0.00
Administer basic health care or medical treatments.4.6%Not observed 0.00
Replenish inventories of materials, equipment, or products.4.0%Not observed 0.00

"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.

What drives this score: the biggest AI-overlapped activity in this role is provide support or encouragement to others; the most important activity AI is not observed doing is treat injuries, illnesses, or diseases. The plan below is built around exactly that split.

Low exposure is an asset. Spend it deliberately.

Next 30 days

  • Don't buy the panic. This occupation's activities barely appear in AI usage data. Your near-term exposure is other people's headlines, not your tasks.
  • Skim the gains anyway. Even here, an assistant helps with the thin admin layer: Provide support or encouragement to others is the one place the data shows any overlap.

Next 90 days

  • Deepen the human core. Activities like Treat injuries, illnesses, or diseases are measured as fully outside current AI. Mastery there is compounding, defensible value.
  • Mentor the exposed. Colleagues in adjacent office-heavy roles are the ones facing redesign; understanding their tools makes you a better coordinator and leader.

The longer game

  • Watch the actual frontier for this work: usually physical automation, demographics or regulation rather than language models. This dataset intentionally measures only generative AI.
  • Revisit after major data updates. If this page's vintage changes and your band moves, the plan moves with it.

Compare this occupation with another

Sources for this page:
  • AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
  • Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
  • Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.