Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help people with foot and ankle problems by diagnosing issues and providing treatments to relieve pain and improve movement.
Summary
A career as a podiatrist is considered "Stable" because the core tasks, like making medical decisions and providing hands-on treatments, require human skills and judgment that AI can't replace. While AI tools can assist with things like analyzing X-rays or designing custom insoles, they mainly support rather than replace the podiatrist.
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Learn more about how you can thrive in this position
Summary
A career as a podiatrist is considered "Stable" because the core tasks, like making medical decisions and providing hands-on treatments, require human skills and judgment that AI can't replace. While AI tools can assist with things like analyzing X-rays or designing custom insoles, they mainly support rather than replace the podiatrist.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Podiatrists
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Today, most podiatry work still relies on the doctor’s skill, but AI tools are starting to help with some parts. For example, researchers have built deep-learning programs that “read” foot and ankle X-rays and measure angles to aid diagnosis [1]. In diabetic foot care, AI algorithms can analyze many health factors at once to screen patients for ulcers or risk of injury [1].
These systems don’t replace the podiatrist; they just give extra information. In practice, a podiatrist will still interpret the AI’s suggestions. Aside from imaging, core tasks like deciding when a foot problem means a bigger health issue (and referring that patient to another doctor) have no known automation yet – that judgement call is too complex for current AI.
Similarly, choosing medicines or surgeries requires a human doctor. Even pain-relief treatments and casting for flat feet are hands-on skills.
So far, automation in podiatry mostly looks like smart tools that assist the doctor. For instance, some clinics now use 3D foot scanners and 3D printing to make custom shoe insoles or braces: the podiatrist takes a digital scan, software designs the support, and a printer makes it [1]. This speeds up making orthopedic devices, but a podiatrist still checks the fit.
In foot surgery, AI and robotics are mainly in the experimental stage. Experts note that AI can help surgeons with imaging and planning to reduce errors, but always under human control [1]. In short, today’s AI augments podiatrists by doing parts of image analysis or manufacturing, but it doesn’t automate the doctor’s core medical decisions [1] [1].

AI Adoption
Adopting AI in podiatry has been slow but is gradually increasing. One reason is that podiatry is very specialized. Reviews have pointed out that while AI is huge in areas like eye or general medicine, there have been “only a negligible number of studies” on AI for diabetic foot care until very recently [1].
This means few mature tools exist yet. Building reliable AI for feet requires lots of foot-specific data (like X-rays and wound photos), so companies and hospitals are only starting now. A positive sign is that some tools do exist.
For example, the AI foot-angle measurement tool shows that precise support software can be made [1]. But clinics need to buy or build such systems and train staff, which takes time and money.
Other factors affect how quickly podiatrists use AI. Healthcare has strict safety rules: any new AI must be tested and often approved by regulators. Doctors and patients also tend to trust human judgment more than a computer.
In fact, an orthopedic journal notes that AI has the potential to improve care but stresses that it must help reduce errors, not create them [1]. This cautious approach means podiatry offices will try new tools carefully. On the upside, if AI systems prove they can catch foot problems earlier or make treatments more effective, clinics will adopt them.
Overall, many podiatry tasks – especially those that need a person’s touch, decision-making, and experience – are likely to remain human-led [1] [1]. Young people should remember that empathy, physical exams, and professional judgment are hard for AI to mimic, so podiatrists’ essential role is still secure even as they gain helpful AI assistants.

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Median Wage
$152,800
Jobs (2024)
9,700
Growth (2024-34)
+1.8%
Annual Openings
300
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Surgically treat conditions such as corns, calluses, ingrown nails, tumors, shortened tendons, bunions, cysts, and abscesses.
Correct deformities by means of plaster casts and strapping.
Treat bone, muscle, and joint disorders affecting the feet and ankles.
Prescribe medications, corrective devices, physical therapy, or surgery.
Advise patients about treatments and foot care techniques necessary for prevention of future problems.
Make and fit prosthetic appliances.
Perform administrative duties such as hiring employees, ordering supplies, and keeping records.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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