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No college or workforce body has published anything saying it will — that projection does not exist. What does exist points the other way: RANZCR first-year places have held roughly flat, 134 in 2022 to 121 in 2026 1, and Queensland pathology applications went from 53 to 117 against 23 unchanged places 3. Demand is rising, not collapsing.
Start with what is actually published, because it is very little. No Australian college, health department or workforce body has published a projection attributing job losses in radiology or pathology to AI. Not published. Anyone quoting one is quoting a technology executive, not a workforce dataset.
What is published runs against the panic. RANZCR's own intake table shows first-year accredited clinical radiology positions filled at 134 in 2022, 128 in 2023, 127 in 2024, 122 in 2025 and 121 in 2026 — flat-to-slightly-down over five years of AI hype, not a collapse 1. Queensland Health received 168 eligible applications for 29 first-year radiology places 2. Queensland anatomical pathology applications more than doubled, 53 in 2024 to 117 in 2026, against 23 places that never moved 3. If the market believed AI was ending these jobs, the applicant queues would be shrinking. They are growing.
The serious version of the worry is not replacement, it is demand. The most upvoted radiologist in the biggest thread says he can see AI destroying the job market without ever replacing a radiologist, and is honest that he cannot say where the value would go — imaging providers, AI vendors or referrers 4. That is the argument worth taking seriously: tooling that makes each reporter faster reduces the number of reporters needed, which is a different risk from obsolescence and hits your consultant years, not your training years.
The counter-arguments the sub keeps making are medicolegal sign-off, integration timelines measured in decades in hospitals that still fax, and the fact that these specialties are far more than image pattern recognition 56.
Practical read. Do not pick or avoid a specialty on a ten-year technology forecast nobody has published. Pick on the work and on the entry odds, both of which are knowable.
r/ausjdocs — community view, not policy; verbatim, cautionary beside positive where both exist, every quote linked to the comment.
I can easily see AI doing enough to destroy the job market. Where that value will accumulate - hard to say, will it be the large imaging providers, the AI companies or the referring clinicians?
Someone still needs to sign on the AIs report for medicolegal purposes so at best AI will make a radiologists job more efficient but can't replace it entirely.
Even if you don't believe AI will completely replace radiologists I think someone can have legitimate reservations about AI reducing the overall demand for radiologists by increasing efficiency
In my opinion, AI is unlikely to completely replace human pathologists in our working lifetimes.
Asked 41 times on r/ausjdocs (title-regex count) · encoded by hand from the numbered sources, retrieved 12 Sept 2026; no AI wrote any of it. how the count was made
asked_count = posts in r_ausjdocs_posts.jsonl (19,145 posts, 2022-09-13 to 2026-09-12) whose title matches /(\bAI\b|artificial intelligence|ChatGPT|\bLLM\b|machine learning).{0,60}(radiolog|patholog|specialt|doctor|job|replace|medicine|career|future)|(radiolog|patholog|specialt|doctor|job|career).{0,40}(\bAI\b|artificial intelligence)/i. Quotes are the highest-scoring comments in the four biggest AI threads, chosen to put a radiologist's job-market warning and a pathologist's rebuttal side by side rather than to settle the argument.