SAFE
A podiatrist's day is debridement of diabetic ulcers, nail and bunion surgery, injections, casting, gait exams, and biomechanical assessment by hand — none of which current robotics can do in a clinic chair. AI is genuinely good at reading foot X-rays and MRIs, drafting notes, and suggesting orthotic parameters, but a DPM license and personal malpractice exposure sit on every diagnosis, prescription, and surgical decision, especially in high-stakes diabetic limb-salvage calls. The shield here is regulatory and could narrow if imaging reads and triage move to AI plus mid-level staff, but the operative and wound-care core is physically anchored.
Roughly flat across the period, with year-to-year wobble.
Median pay $126,240 → $160,300 +1.6% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+1.8% 9,700 → 9,900 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +1.8% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~300 openings a year on average, including replacing people who leave.
PhysicianPodiatristChiropodistFoot DoctorFoot SpecialistFoot OrthopedistPodiatric SurgeonPododermatologistDoctor of PodiatryAttending PhysicianPodiatric PhysicianFoot RoentgenologistPodiatry Doctor (DP)Orthopedic PodiatristFoot and Ankle SurgeonDoctor Podiatric Medicine (DPM)Podiatric Medicine Doctor (DPM)Doctor of Podiatric Medicine (DPM)Doctor of Podiatric Medicine and Surgery (DPM and Surgery)
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Sharp debridement of a neuropathic ulcer, hammertoe arthroplasty, Achilles injections under palpation, plaster or fiberglass casting, and weight-bearing gait analysis are procedural acts performed on a living foot — AI can pre-read the radiograph and draft the note, which is why this sits at 16 and not 19.
Hands-on in uncontrolled environments You work in a chair with a scalpel, nail nipper, and rotary burr inches from an insensate diabetic foot, in podiatry clinics, nursing homes, and hospital ORs where the anatomy is infected, deformed, or bleeding — 19 rather than 20 only because much of it happens in a controlled treatment room rather than a roadside or a mine.
Licensed human required and personally liable A DPM license from a state podiatric medical board, DEA registration for post-op analgesics, and hospital surgical privileges are all held personally, and when an amputation level is chosen wrongly the malpractice claim names you — 19 reflects that the scope of practice itself is statutorily fenced to the foot and ankle, a boundary no software can cross into.
Exists to be accountable for ambiguous calls Deciding whether a wound gets another four weeks of offloading or goes to transmetatarsal amputation, reading whether osteomyelitis is present when the probe-to-bone test and MRI disagree, and judging vascular status before elective surgery are calls with a limb on the line and no protocol that resolves them — 18 because much routine nail and orthotic work runs on established pathways.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (16/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (19/20) is whether the law requires a licensed human to sign. Trust premium (16/20) is whether buyers specifically pay for a person. Judgment and accountability (18/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 53 of this occupation's 88 points (60%).
Embodiment (19/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 92/100, still SAFE.
If diabetic limb-salvage moves further into formal multidisciplinary 'toe-and-flow' teams with a named DPM as the accountable limb-preservation lead (as IWGDF guidelines and some VA/academic limb-salvage programs already structure it), the consequential amputate-or-salvage call becomes explicitly owned rather than shared.
Genuine two-tier job: if AI plus techs absorb routine nail care, orthotic parameter setting, and first-pass X-ray reads, the residual day concentrates into surgery, complex wound debridement, and Charcot/biomechanical judgment — task mix shifts upward without any new law. Watch for reimbursement changes pushing routine nail debridement to assistants.
State scope-of-practice fights already run the other way (expanding what DPMs may treat above the ankle, e.g. Ohio/Arizona bills, and CMS parity of DPMs as 'physicians'). A concrete raise: a state board or Medicare rule requiring that autonomous AI wound-imaging or diabetic-risk triage output be countersigned by the treating DPM before it can support a limb-salvage or amputation decision — analogous to the pharmacist-countersign rules being written for AI dosing.
The limit. At 88 the occupation is already near the register's practical ceiling; embodiment (19) and liability_shield (19) have essentially no headroom, and trust_premium is capped because patients buy a licensed foot surgeon, not a human-versus-machine preference. The realistic movement here is defensive — keeping the shield from narrowing as imaging reads devolve to AI plus mid-levels — not raising the total.
| New York-Newark-Jersey City, NY-NJ | 1,350 | $108,160 -33% |
| Los Angeles-Long Beach-Anaheim, CA | 350 | $199,990 +25% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 300 | $157,500 -2% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 280 | $98,550 -39% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 240 | $158,070 -1% |
| Detroit-Warren-Dearborn, MI | 220 | $168,940 +5% |
| Phoenix-Mesa-Chandler, AZ | 200 | $133,210 -17% |
| Dallas-Fort Worth-Arlington, TX | 160 | $158,060 -1% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 90 | $287,400 +79% |
| Boston-Cambridge-Newton, MA-NH | 150 | $239,990 +50% |
| San Diego-Chula Vista-Carlsbad, CA | 60 | $235,390 +47% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 88. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.