Evidence up to November 2025 shows that AI is significantly changing radiology workflows but has not made radiology a poor or shrinking career, while the broader physician workforce remains in shortage.

Key points:

• Radiology is being augmented, not gutted, by AI. Reporting from 2025 notes that over two‑thirds of U.S. radiology departments use AI tools and that more than 75% of FDA‑cleared medical AI products are for radiology, but experts emphasize these systems mainly triage cases, flag findings, or help with reporting rather than replace radiologists. (washingtonpost.com)

• Radiologist demand remains high and is projected to stay that way for decades. Multiple workforce studies (Neiman Health Policy Institute and related analyses) project that today’s radiologist shortage will persist through 2055 as imaging demand grows roughly in line with or faster than radiologist supply, meaning the shortage neither disappears nor worsens dramatically without intervention. (drugs.com) Job‑market discussions similarly describe a nationwide radiologist shortage, long hiring times, and many open positions—conditions inconsistent with radiology being a “bad” or oversupplied specialty. (medscape.com)

• Doctors overall are clearly still in demand. Updated projections from the Association of American Medical Colleges and related summaries in 2024–2025 forecast a U.S. physician shortfall of up to ~86,000 doctors by 2036 (and higher in some federal estimates), spanning primary care and many specialties. These reports explicitly frame physician shortages—not AI displacement—as the dominant workforce problem. (ama-assn.org)

Taken together, AI has indeed begun to automate and transform parts of radiology, but it has not reduced the specialty to a poor career choice; on the contrary, radiologists are scarce and heavily recruited. Meanwhile, medicine in general remains viable and in high demand. Because the central claim that AI would make radiology a bad career has been contradicted by current data, the overall prediction is best classified as wrong.