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Geoffrey Hinton
Professor Emeritus, University of Toronto

He Predicted AI Would Wipe Out Radiologists | Nobel Prize Winner - Geoffrey Hinton

📅 Jun 08, 2026 Big Technology 10 MIN 40 SEGMENTS · 2 SPEAKERS
Full episode: https://youtu.be/p7t1Q_p2gZs In 2016, Geoffrey Hinton — the Nobel Prize-winning Godfather of AI — stood on a ...

Questions asked in this interview

3
  1. 2:23Do you think we're going to have less radiologist than we have today or more?
  2. 3:55So, AI handles the level one inquiries, right?
  3. 8:06And what didn't you anticipate about the progress here?
Geoffrey Hinton 0:00 ↗
So I predicted in 2016 that in about 5 years radiologists wouldn't be reading scans anymore.
Interviewer 0:06 ↗
Correct.
Geoffrey Hinton 0:07 ↗
Okay, there's a whole bunch of reasons why that was a bad prediction. The first is that health care is elastic. So if you could do more scans and get more scans read, there'd be a lot more scans happening. And that's one thing that's happening. So we a fraction of the cost of a significant fraction of the cost of doing a scan is the cost of the radiologist interpreting it. As AI gets to help more and more radiologists interpret scans, we can interpret them faster and faster for less and less money. They're getting more efficient. And you would have thought that would mean you needed less radiologists, but actually what it means is you get more scans. So that aspect of the prediction was wrong. A second thing that was wrong was I didn't know enough about radiologists and what they do. And that was because I had a former student who had an MD and then did a physics PhD with me on something called Boltzmann machines. And he didn't particularly like people. So he got a job as a radiologist just interpreting scans. And he was my model for radiologist. All he did was interpret scans. He never talked to people. And that's what was going to get replaced. And that is now becoming replaced. So I think there's now of the order of a hundred AI systems for interpreting scans that have been federally approved. And they're being used a lot by radiologists.
Interviewer 1:34 ↗
Yes.
Geoffrey Hinton 1:34 ↗
And I think as time goes by, they're going to get better. The radiologists aren't going to get better. They're going to get better because they can see a lot more data than the radiologists. So it's happening. It's just happening in a much slower time scale than I predicted.
Interviewer 1:50 ↗
But there were... But let's go to what you said though, which is that you can end up doing a lot more.
Geoffrey Hinton 1:55 ↗
Yes.
Interviewer 1:56 ↗
And okay, so wait, hold on.
Geoffrey Hinton 1:59 ↗
There will be a lot more scans. There will be more and more scans, and nearly all of them will be done by AI.
Interviewer 2:07 ↗
And so you're saying I'm a radiologist prediction, I'm just early.
Geoffrey Hinton 2:13 ↗
Yes, but I was way early because I didn't understand enough. The radiologist will still be doing other things. They'll still be discussing treatments with people for example.
Interviewer 2:23 ↗
So are you still the belief that there's going to be mass unemployment of radio... or give me a look at finally hit this point. Do you think we're going to have less radiologist than we have today or more?
Geoffrey Hinton 2:33 ↗
I don't know for sure, but when I was still... I didn't think that was a public statement I made. It was just a lecture at a hospital.
Interviewer 2:40 ↗
Sorry.
Geoffrey Hinton 2:41 ↗
And here we are talking about it today. People picked up on it, and I still think in terms of reading scans, that'll be done more and more by AI. And in the end, AI will be doing nearly all the scans. Maybe in a few very tricky cases, radiologists will be consulted. But radiologists of course do other things, and I think they'll continue to do other things.
Interviewer 3:07 ↗
The argument to be made on the side of AI not causing mass job loss is that this similar equation will be applied to all different parts of the economy.
Geoffrey Hinton 3:20 ↗
Okay, so you have to look at whether some kind of employment has an elastic market or a non-elastic market. So for example, if you take people in call centers, when you call up to complain about your bill or to see if you can get a cheaper account, stuff like that, that's not so elastic. AI will replace all of them. It'll know much better on what the correct answers are. Often they don't know the right answer. They're poorly trained and badly paid. And AI can just do a better job. They're out of work.
Interviewer 3:55 ↗
Well, let me disagree with you on this one. And we could sort of go back and forth on this. Or I won't say I'll disagree completely because I don't know what's going to happen. But I'll give the argument of those working on AI for customer service. They say that what's happened is the average call time when you have AI. So, AI handles the level one inquiries, right? The basic can you reset my password type of stuff. And anything deeper is handled by person. And...
Geoffrey Hinton 4:21 ↗
Right.
Interviewer 4:22 ↗
...is to get the average call time as short as possible because you were kind of handling so many of these level one inquiries that you just want to get a person on the phone, off the phone, solve their problem. Now, they see the average call time is expanding because customer service, you're the front line of the business. You matter a lot when you're having a conversation with a customer. Now, you could spend a little bit more time on the phone with someone and actually add value to the business as opposed to just take care of a problem.

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APA, MLA, BibTeX
APA

Hinton, G. (2026, June 8). He Predicted AI Would Wipe Out Radiologists | Nobel Prize Winner - Geoffrey Hinton [Interview transcript]. Big Technology. CEOInterviews.AI. https://ceointerviews.ai/interview/986195/

MLA

Geoffrey Hinton. "He Predicted AI Would Wipe Out Radiologists | Nobel Prize Winner - Geoffrey Hinton." Big Technology, 8 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/986195/.

BibTeX
@misc{hinton2026_986195,
  author       = {Geoffrey Hinton},
  title        = {He Predicted AI Would Wipe Out Radiologists | Nobel Prize Winner - Geoffrey Hinton},
  howpublished = {Interview transcript, Big Technology. CEOInterviews.AI},
  year         = {2026},
  month        = {jun},
  url          = {https://ceointerviews.ai/interview/986195/},
  note         = {Speaker-attributed transcript with timestamps}
}