Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Podiatrists:
63.0%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forPodiatrists
$160,300 median salary•300 annual openings•SOC Code: 29-1081.00
Podiatrists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Podiatry is labeled "Mostly Resilient" because the heart of the job, including hands-on care like surgery, prosthetic fitting, and physical treatment, requires human skill, judgment, and touch that AI simply cannot replicate right now. AI is stepping in to handle the more routine, time-consuming tasks like scheduling, documentation, and early screening of diabetic foot ulcers from photos, which actually frees podiatrists up to focus more on patients rather than paperwork.
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Podiatry is labeled "Mostly Resilient" because the heart of the job, including hands-on care like surgery, prosthetic fitting, and physical treatment, requires human skill, judgment, and touch that AI simply cannot replicate right now. AI is stepping in to handle the more routine, time-consuming tasks like scheduling, documentation, and early screening of diabetic foot ulcers from photos, which actually frees podiatrists up to focus more on patients rather than paperwork.
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Podiatrists
Updated Quarterly
How is AI changing Podiatrists jobs?
Right now, AI in podiatry is mostly augmenting podiatrists rather than replacing them — and the biggest wins are showing up in paperwork, not in the surgical suite. According to a December 2025 Podiatry Today podcast, about 22% of healthcare organizations have implemented AI tools, roughly a seven-times jump in one year [1], with voice agents that handle phone calls, appointment scheduling, and reminders becoming the most practical front-office use case. Documentation tools (often called "AI scribes") now draft SOAP notes during visits, taking aim at the administrative burden that eats up so much of a podiatrist's day.
Clinically, AI is starting to assist with image-based triage: a 2025 review in MDPI's Healthcare describes how deep-learning models can classify, segment, and predict diabetic foot ulcers from photographs [2], helping clinicians catch problems earlier. Surgical planning is also benefiting — Mass General researchers are using AI plus 3D printing and weight-bearing CT scans to design patient-specific foot and ankle procedures [3]. However, hands-on treatments like surgery, prosthetic fitting, and physical therapies remain firmly human.
Sources
How fast is AI adoption growing for Podiatrists?
Adoption is moving steadily but cautiously. A February 2025 JMIR Human Factors study found that podiatrists prefer AI in supportive roles like triage and are hesitant about diagnostic uses, citing accuracy concerns and the irreplaceable value of human expertise [4]. The APMA reinforced that view in March 2026, formally stating that AI should support, not replace, physician judgment and warning that opaque algorithms can lead to inappropriate denials and delays in care [5].
Cost and scale also matter: Deloitte reports an emerging "AI divide" where large health systems with stronger data foundations are the early adopters of agentic AI, while smaller practices are mostly watching and waiting [6]. Since the Bureau of Labor Statistics projects only 2% job growth for podiatrists from 2024–2034 with a 2024 median pay of $152,800 [7], specialized podiatry-specific AI tools may roll out more slowly than in larger fields — meaning your future as a podiatrist is likely to involve working with AI, not competing against it.
Sources
Will AI replace Podiatrists?
No. We don't think AI will replace Podiatrists, though we do expect the job to change.
Podiatry earns a 63.0% AI Resilience Score from us, and the biggest reason is what the job actually requires: examining feet, performing surgery, fitting orthotics, and making judgment calls that depend on touch and experience. Those tasks are not going away. A 2025 study found that podiatrists themselves prefer AI in supportive roles like triage and remain hesitant about diagnostic uses, citing accuracy concerns and the irreplaceable value of human expertise [4]. The APMA has formally stated that AI should support, not replace, physician judgment [5].
What will change is the administrative side. AI scribes are already drafting clinical notes, and voice tools are handling scheduling and reminders. Deep-learning models are also helping flag diabetic foot ulcers from photographs earlier than before [2]. These shifts free podiatrists to spend more time on actual patient care.
The job market picture is more cautious. The BLS projects only 2% growth for podiatrists through 2034 [7], so this is not a field exploding with new openings. But the work itself stays complex, the pay stays strong, and AI looks far more like a useful tool here than a replacement.
Sources
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Latest AI news for Podiatrists
These articles highlight the evolving role of AI in podiatry, emphasizing its potential to enhance patient care. For instance, AI is now capable of reading foot imaging and predicting diabetic complications, which can improve treatment outcomes. Additionally, AI tools are being used in podiatric dermatology for accurate lesion assessment. Understanding these advancements will equip future podiatrists to leverage technology effectively, ensuring they remain resilient in a field increasingly influenced by AI while maintaining the vital human touch in patient care.
A Podiatrist Explains "Ozempic Feet," the GLP 1 Side Effect Nobody Warned You About
creators.yahoo.com • 7/6/2026
What podiatrists are seeing in patients on Ozempic, Wegovy, and Mounjaro, and what to do about it before it costs you a shoe size.
How is AI Changing Podiatry Care in 2026?
www.iredellfreenews.com • 6/29/2026
Artificial intelligence has reached every corner of the modern podiatry practice. AI now reads foot imaging, predicts diabetic complications...
What Is the Role of Artificial Intelligence in Podiatric Dermatology?
www.hmpgloballearningnetwork.com • 9/23/2025
Diagnostic Support Tools: AI is increasingly used in podiatric dermatology for lesion assessment and triage. Apps enable both patients and...
What Should Podiatrists Know About Artificial Intelligence?
www.hmpgloballearningnetwork.com • 6/27/2023
While I believe AI has significant potential in podiatric medicine, it should not replace human expertise and judgment. Rather, it should be...
The Rise of the Machine: Can Artificial Intelligence Impact Wound Care Outcomes?
www.hmpgloballearningnetwork.com • 3/1/2022
Over the past several years, artificial intelligence (AI)-based innovation in the medical field has emerged, including in various types of imaging.
More Career Info
Career: Podiatrists
They help people with foot and ankle problems by diagnosing issues and providing treatments to relieve pain and improve movement.
Parent Careers
Employment & Wage Data
Median Wage
$160,300
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Surgically treat conditions such as corns, calluses, ingrown nails, tumors, shortened tendons, bunions, cysts, and abscesses.
2
Make and fit prosthetic appliances.
3
Treat deformities using mechanical methods, such as whirlpool or paraffin baths, and electrical methods, such as short wave and low voltage currents.
4
Treat bone, muscle, and joint disorders affecting the feet and ankles.
5
Prescribe medications, corrective devices, physical therapy, or surgery.
6
Refer patients to physicians when symptoms indicative of systemic disorders, such as arthritis or diabetes, are observed in feet and legs.
7
Diagnose diseases and deformities of the foot using medical histories, physical examinations, x-rays, and laboratory test results.
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.
