# Marc Andreessen: AI Is Here — But the REAL Impact Will Shock Everyone (It's Not What You Think)

*Du Cavendish* · https://www.youtube.com/watch?v=8vzW9jM0UzA

## Summary

Marc Andreessen argues that AI is now genuinely working, with recent proof in reasoning, mathematics, and coding. However, he says the common one-dimensional view that AI will simply sweep the world and change everything is wrong. He points to two overlooked realities: productivity growth has been very low for the last 50 years, and the world faces a demographic collapse with declining reproduction rates. He concludes that we actually need AI to succeed, both to raise productivity and to fill jobs as the planet depopulates over the next century.

## Key points

- Andreessen says AI is now proven to work for reasoning and problem solving in domains like medicine, science, and law.
- Over the holiday break, top programmers including Linus Torvalds said AI is now coding better than humans can.
- He believes AI will get very good at reasoning in any domain with verifiable answers.
- Productivity growth in the US and the West has been very low for the last 50 years, running at about half the pace of 1940 to 1970.
- The world is experiencing a demographic collapse, with reproduction rates below two in many countries including the US and China.
- Many countries will depopulate over the next century.
- Andreessen argues we need AI to work to raise productivity growth and to do jobs that depopulated societies won't have people for.
- He says the interplay of these factors will be more interesting and complex than most people think.

## Notes

### AI is actually working now
- The ChatGPT moment happened only three years ago, and the big question was whether the technology could be harnessed for reasoning and problem solving in domains that really matter, like medicine, science, and law.
- Andreessen says the answer is yes, proven especially in the last 12 months and even the last three months.
- AI is now developing new math theorems.
- Over the holiday break, the AI coding thing hit critical mass: the world's best programmers, including Linus Torvalds, said for the first time that AI is coding better than they can.
- He assumes AI will get very good at reasoning in any domain with verifiable answers, which includes many important fields.

### The wrong frame: a one-dimensional view
- Many people in the industry hold what he calls a one-dimensional view: because the technology works, AI just sweeps the world and changes everything.
- He calls this the wrong frame, based on an incomplete understanding of the world we have lived in for the last 80 years.

### Reality one: low productivity growth
- Although it has felt like a time of great technological change in the US and the West for the last 30 to 50 years, statistical and analytical evidence for that is basically absent.
- Economists measure the rate of technological change in the economy through productivity growth.
- Productivity growth for the last 50 years has actually been very low, running at about half the pace it ran between 1940 and 1970.
- So AI is entering an environment with almost no technological progress in the actual economy for a very long time.

### Reality two: demographic collapse
- The rate of reproduction of the human species is in rapid decline, a Western and increasingly global phenomenon.
- Many countries, including the US and China, have reproduction rates under two.
- Many countries around the world will depopulate over the next century.

### Why we need AI
- We need AI to work to get productivity growth up, which is needed to get economic growth up.
- We also need machines to do the jobs that we won't have people to do, because the planet will depopulate over the next hundred years.
- The interplay of these factors will be much more interesting and complex than most people think.

## Transcript

[00:00] In terms of the AI piece, which is where a lot of people are trying to figure out what to do, what do you think isn't being priced in yet in terms of the impact AI is going to have on say the world or just people listening? >> The I think I think at this point I think it's pretty clear with it with, you know, our technology hats on that like this stuff is really working now, right? And so there there was this, you know, kind of, you know, when when there was a chat GPD moment, you know, three years ago is only, by the way, only three years ago, right? That was the chat GPD moment and and the big question was all right this this is like incredibly fun and creative and like we have machines now that can compose

[00:30] Shakespeare and silence and rap lyrics and like you know this is amazing but then there was there you know there's this sort of this big question like can you can you harness this technology for reasoning and for you know problem solving and in domains that like really matter you know medicine and science and and and law and so forth and and you know it turns out the answer to that is yes right and you know the the last 12 months and especially the last even just the last three months have really proven that like AI can really do like you I mean, you're seeing it all now. You know, you can actually, you know, AI is now developing new math theorems. You know, there, you know, over the holiday break, you know, there's sort of the

[01:00] what it feels like the AI coding thing, you know, really hit critical mass. And the world's best, the world's best programmers, right, including like Linus Turbalds, you know, for for the first time over the holiday break, basically said, yeah, AI is now coding better than we can. And so that, you know, that's that's incredibly incredibly powerful. And I think we we all, you know, kind of, I think, assume that AI now is going to get really good at reasoning in in any domain in which there are verifiable answers. So that that that you know that's going to include like many very important domains. I think the thing that is not well understood I I think a lot of people have a I think you know a lot of people in the industry have kind

[01:32] of what I would describe as this one-dimensional thing which is okay as a result of the technology not working AI just kind of sweeps sweeps the world and changes everything. And I think that's that's kind of the wrong that's kind of the wrong frame. I think it's based on incomplete understanding of of the world that we live in or the world that we've been living in for the last you know 80 years. And I would call out two things in particular. So one is it has I think it's felt to us like in the US and the west for the last you know whatever 30 years or 50 years it's felt like we've been in a time of great technological change but actually if you look for actually evidence of that like in stat

[02:00] in statistical evidence of that analytical evidence of that like you basically can't find it and in particular economists have a way of measuring the rate of technological change in the economy that is productivity growth which which we could talk about what that means but basically it's it's a it's sort of the mathematical expression of the impact of technology on the economy And productivity growth for the last 50 years has actually been very low, not very high. So we all feel like it's been very high. There's been lots of technological change. What's actually happening is it's it's been very low. And in fact, the pace of productivity growth like in the US is is running at like a half of what it in my lifetime in

[02:35] our lifetimes it's been running at about a half the pace that it ran in between 1940 and 1970. And so statistically in the US in the west technology progress in the economy technology impact in the economy has actually slowed way down. And so we you know the AI thing is is going to hit but it's hitting an environment in which we we have actually had almost no technological progress in the actual economy for a very long time. So we could talk about that and then there's this other like just incredible thing that's happening which is the the you know sort the de demographic collapse right it's sort of a western phenomenon and increasingly global phenomenon which is you know the rate of reproduction of the human species is is

[03:12] in rapid decline and you know there are many countries you know including the US where you know the rate of reproduction is you know under two you know meaning meaning that you know many many countries around the world by the way including China which is a really big deal are actually going to depopulate over the next century um and so you have this kind precondition that says there's actually been very little techn technological progress happening in the world and the world is going to depopulate and so AI is going to enter the world a world in which those two things are true and I think it's inc this is incredibly important because we actually need AI to work in order to get productivity growth up which is what we

[03:45] need to get economic growth up and we actually need AI to work because we're going to need you know we're going to need machines to do all the jobs that we're not going to have people to do because we're we're literally going to depopulate we're going to depopulate the planet over the next hundred years and so I I think the interplay of these factors I is is going to be much more interesting and and frankly more more more complex than a lot of people have been thinking.