AI exposure by occupation, O*NET 29-1229.03

Will AI replace Urologists?

Urologists: AI can already handle 9 of 14 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 14 tasks O*NET 30.3 lists for Urologists, from most to least exposed. 9 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Treat urologic disorders using alternatives to traditional surgery such as extracorporeal shock wave lithotripsy, laparoscopy, or laser techniques. 75 Estimated Efficient 4.7
Treat lower urinary tract dysfunctions using equipment such as diathermy machines, catheters, cystoscopes, or radium emanation tubes. 75 Estimated Efficient 4.7
Direct the work of nurses, residents, or other staff to provide patient care. 75 Estimated Frontier 4.6
Perform abdominal, pelvic, or retroperitoneal surgeries. 75 Estimated Efficient 4.6
Refer patients to specialists when condition exceeds experience, expertise, or scope of practice. 75 Estimated Efficient 4.3
Perform brachytherapy, cryotherapy, high intensity focused ultrasound (HIFU), or photodynamic therapy to treat prostate or other cancers. 75 Estimated Efficient 3.9
Order and interpret the results of diagnostic tests, such as prostate specific antigen (PSA) screening, to detect prostate cancer. 65 Estimated Standard 4.8
Document or review patients' histories. 65 Estimated Standard 4.8
Provide urology consultation to physicians or other health care professionals. 60 Estimated Frontier 4.7
Teach or train medical and clinical staff. 35 Estimated Efficient 4.3
Diagnose or treat diseases or disorders of genitourinary organs and tracts including erectile dysfunction (ED), infertility, incontinence, bladder cancer, prostate cancer, urethral stones, or premature ejaculation. 10 Estimated No tier 4.9
Examine patients using equipment, such as radiograph (x-ray) machines or fluoroscopes, to determine the nature and extent of disorder or injury. 10 Estimated No tier 4.8
Prescribe or administer antibiotics, antiseptics, or compresses to treat infection or injury. 10 Estimated No tier 4.8
Prescribe medications to treat patients with erectile dysfunction (ED), infertility, or ejaculation problems. 10 Estimated No tier 4.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 71% of the role's importance-weighted task work. 71% of the work is something AI can address at some tier, and 30% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
342,720
Median annual wage
$265,930
Middle half of earners
$102,930 to $378,770
Projected change, 2024 to 2034
+2.5%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Urologists and AI

Will AI replace Urologists?

AI already handles 9 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 51 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.5% from 2024 to 2034.

What is the AI exposure of Urologists?

51 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.

Which Urologists tasks can AI already do?

The tasks with the highest exposure are: Treat urologic disorders using alternatives to traditional surgery such as extracorporeal shock wave lithotripsy, laparoscopy, or laser techniques; Treat lower urinary tract dysfunctions using equipment such as diathermy machines, catheters, cystoscopes, or radium emanation tubes; Direct the work of nurses, residents, or other staff to provide patient care. They are three of the 9 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 71% of the role's importance-weighted task work, and 30% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Urologists, and what do they earn?

342,720 people in the United States, with a median annual wage of $265,930 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.5% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Urologists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/urologists

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