π‘ Podiatrists have a composite risk score of 28/100 (Frey-Osborne probability: 1%, GenAI exposure: 53/100). With 9,520 workers in the US, this occupation remains well-protected against automation. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 9,520 workers and a median wage of $153K,podiatrists represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
28/100
Employment
9,520
Median Wage
$153K
GenAI Exposure
53%
β οΈ Top Risk Factors
Administrative automation of medical billing and coding
AI clinical decision-support tools guiding treatment
Automated patient monitoring and alert systems
π‘οΈ Tasks AI Can't Easily Replace
Interdisciplinary care coordination
Empathetic patient communication and bedside manner
Ethical decision-making in end-of-life situations
Complex clinical judgment in ambiguous presentations
Hands-on physical examination and procedures
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
75% skills overlap Β· $226K median wage
Dentists, General
83% skills overlap Β· $173K median wage
Political Scientists
61% skills overlap Β· $139K median wage
β Frequently Asked Questions
Will AI completely replace podiatrists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for podiatrists?
Podiatrists have a composite AI automation risk score of 28 out of 100, classified as "Moderate".
How many podiatrists are there in the US?
There are approximately 9,520 podiatrists employed in the United States.
What do podiatrists earn?
The median annual wage for podiatrists is $153K.
What skills should podiatrists develop?
Focus on tasks AI can't easily replicate: interdisciplinary care coordination, empathetic patient communication and bedside manner, ethical decision-making in end-of-life situations, complex clinical judgment in ambiguous presentations, hands-on physical examination and procedures. These human-centric skills will become more valuable as routine tasks are automated.