π‘ Dentists, General have a composite risk score of 24/100 (Frey-Osborne probability: 0%, GenAI exposure: 81/100). With 113,490 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 113,490 workers and a median wage of $173K,dentists, general represent a significant portion of the US workforce. Their GenAI exposure index is 81%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
24/100
Employment
113,490
Median Wage
$173K
GenAI Exposure
81%
β οΈ Top Risk Factors
Telehealth platforms automating triage and intake
Large language model automation of analysis tasks
AI-assisted diagnostic imaging reducing radiologist workload
π‘οΈ Tasks AI Can't Easily Replace
Interdisciplinary care coordination
Empathetic patient communication and bedside manner
Emergency triage requiring rapid human judgment
Complex clinical judgment in ambiguous presentations
Ethical decision-making in end-of-life situations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
82% skills overlap Β· $226K median wage
Social Scientists and Related Workers
51% skills overlap Β· $93K median wage
Postsecondary Teachers
69% skills overlap Β· $82K median wage
β Frequently Asked Questions
Will AI completely replace dentists, general?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for dentists, general?
Dentists, General have a composite AI automation risk score of 24 out of 100, classified as "Moderate".
How many dentists, general are there in the US?
There are approximately 113,490 dentists, general employed in the United States.
What do dentists, general earn?
The median annual wage for dentists, general is $173K.
What skills should dentists, general develop?
Focus on tasks AI can't easily replicate: interdisciplinary care coordination, empathetic patient communication and bedside manner, emergency triage requiring rapid human judgment, complex clinical judgment in ambiguous presentations, ethical decision-making in end-of-life situations. These human-centric skills will become more valuable as routine tasks are automated.