Will AI replace Podiatrists?
Estimated risk score: 32 out of 100
Lower 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 (13 to 51).
Low confidence: only 11 of its tasks are rated.
For the occupation as a whole, from ratings of its 11 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1081.00 · 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: 1 of its 11 rated tasks. In O*NET’s words.
- Perform administrative duties, such as hiring employees, ordering supplies, or keeping records.
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 11 rated tasks. In O*NET’s words.
- Correct deformities by means of plaster casts and strapping.
- Make and fit prosthetic appliances.
- Surgically treat conditions such as corns, calluses, ingrown nails, tumors, shortened tendons, bunions, cysts, or abscesses.
- Treat bone, muscle, and joint disorders affecting the feet and ankles.
- Treat deformities using mechanical methods, such as whirlpool or paraffin baths, and electrical methods, such as short wave and low voltage currents.
What the job is
Diagnose and treat diseases and deformities of the human foot.
Also called: Podiatric Surgeon, Doctor Podiatric Medicine (DPM), DP, DPM, Chiropodist, Foot Doctor, DPM and Surgery, Foot Specialist.
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