AI Stole My Job

Estimated risk score: 45 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 (26 to 64).

For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 29-1181.00 · 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 22 rated tasks. In O*NET’s words.

  1. Maintain patient records at all stages, including initial and subsequent evaluation and treatment activities.
  2. Perform administrative tasks, such as managing office functions and finances.
  3. Provide information to the public on hearing or balance topics.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 5 of its 22 rated tasks. In O*NET’s words.

  1. Examine and clean patients' ear canals.
  2. Administer hearing tests and examine patients to collect information on type and degree of impairment, using specialized instruments and electronic equipment.
  3. Educate and supervise audiology students and health care personnel.
  4. Fit, dispense, and repair assistive devices, such as hearing aids.
  5. Instruct patients, parents, teachers, or employers in communication strategies to maximize effective receptive communication.

What the job is

Assess and treat persons with hearing and related disorders. May fit hearing aids and provide auditory training. May perform research related to hearing problems.

Also called: Clinical Audiologist, Audiology Doctor (AUD), Educational Audiologist, AUD, Audiology Extern, Hearing Therapist, Forensic Audiologist, Licensed Audiologist.

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