AI Stole My Job

Estimated risk score: 46 out of 100

Moderate replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (27 to 65).

For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 29-1229.02 · Healthcare Practitioners and Technical

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 14 rated tasks. In O*NET’s words.

  1. Write patient discharge summaries and send them to primary care physicians.
  2. Participate in continuing education activities to maintain or enhance knowledge and skills.
  3. Train or supervise medical students, residents, or other health professionals.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 1 of its 14 rated tasks. In O*NET’s words.

  1. Direct, coordinate, or supervise the patient care activities of nursing or support staff.

What the job is

Provide inpatient care predominantly in settings such as medical wards, acute care units, intensive care units, rehabilitation centers, or emergency rooms. Manage and coordinate patient care throughout treatment.

Also called: Hospitalist Medical Doctor (Hospitalist MD), Nocturnist, Hospitalist MD, Academic Hospitalist, Consultant Physician, Hospitalist Physician, Neurology Hospitalist, Pediatric Hospitalist.

Closest jobs we score by hand

In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate