I understand why the Meta layoff headlines make people nervous, but I do not think the comparison to radiation oncology is particularly useful.
A technology company reducing headcount because AI can replace or compress portions of internal technical work is not the same thing as replacing a physician in a licensed clinical specialty. Their job is not our job.
Radiation oncology is not simply generating contours or producing a treatment plan. The physician role is deciding whether radiation is appropriate at all, selecting dose and fractionation, weighing competing risks, integrating surgery and systemic therapy, counseling the patient, managing toxicity, coordinating with other physicians, and ultimately taking responsibility for the decision.
There is also a credentialing and licensure structure here that people seem to be skipping over. Medical license, residency training, board certification or eligibility, hospital privileges, payer credentialing, malpractice coverage, physics QA, peer review, radiation safety, regulatory compliance, and a legally accountable treating physician. That is not a small detail. It is the entire operating environment.
AI will almost certainly make parts of our job faster. Chart review, documentation, contouring assistance, plan generation, QA, prior authorization letters, treatment summaries — fine. Let it. Most of that is not the soul of the specialty anyway.
But improving workflow is not the same thing as replacing the radiation oncologist. The more likely future is that productive physicians become more productive, and low-value clerical/technical friction gets compressed.
So yes, AI is coming to radiation oncology. But I think the panic about wholesale physician replacement is misplaced. The realistic question is not whether AI replaces radiation oncologists. It is whether radiation oncologists learn to use AI well enough to stop wasting time on tasks that never required an MD in the first place.
