A Radiologist carries a 33/100 AI replacement risk (low). AI can already handle image interpretation (screening); Complex diagnosis & integration still needs a person. Of exposed work, ~53% is automation vs 47% augmentation. Capability clock: ~4.1 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)
Will AI replace a Radiologist?
AI replacement risk: 33/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.
Timeline: 5+ years / low. Of the exposed work, roughly 53% is likely to be automated and 47% augmented. $2.4B/yr of US wages sit in highly-exposed work for this role.
AI/software exposure: 48%. Robot/physical-automation exposure: 0%.
Capability clock: AI's measured task horizon reaches this role's core complexity (~14968.6h of human work) ~4.1 years (2030) — projected from METR's ~4.3-month doubling.
Pressure Index: 23/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 8% vs 2020.
AI tools targeting this role
- Aidoc — flagging acute findings in medical imaging
- Viz.ai — triage and detection of strokes and other conditions in scans
Layoff signal: low — AI assists with image triage and detection, but radiologist demand remains stable as final diagnosis and oversight stay with physicians.
Then vs. now: the 2013 Oxford study scored this 2%; our 2026 index scores it 33% (a rise of 31 points).
Tasks at risk
- Image interpretation (screening) — AI matches/beats humans on some reads.
- Flagging anomalies — Detection models triage scans.
- Routine reporting — Draft reports auto-generated.
Tasks that still need a human
- Complex diagnosis & integration — Synthesizing the whole patient stays human.
- Procedures & patient consult — Hands-on and relational work.
Skills that protect you
- Interventional radiology — Procedural work is hard to automate.
- AI-augmented diagnostics — Supervise and validate models.
- Subspecialty expertise — Complex cases need humans.
Safer adjacent careers
Nursing Assistant (6%) · Home Health Aide (7%) · Therapist (10%) · Medical Assistant (11%)
Related jobs
Diagnostic Medical Sonographer (33%) · Medical Lab Technician (32%) · Pulmonary Function Technologist (32%) · Optometrist (31%)
Frequently asked questions
- Will AI replace Radiologists?
- A Radiologist carries a 33/100 AI replacement risk (low). AI can already handle image interpretation (screening); Complex diagnosis & integration still needs a person. Of exposed work, ~53% is automation vs 47% augmentation. Capability clock: ~4.1 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)
- Is a Radiologist job safe from AI?
- Relatively yes. A Radiologist scores 33/100 on the ReplacedYet AI-Risk Index — low risk — because the role leans on hands-on, in-person, or high-judgment work that AI struggles to automate.
- When will AI be able to do a Radiologist's job?
- Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~4.1 years (2030). That projects the capability — actual adoption usually lags it.
- How accurate is the Radiologist AI-risk score?
- It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.
Category: Healthcare · Methodology · Download the dataset
ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.