Mohammed El-Erian36:07
So let me answer this question in three parts: the financial side, the economic side, and what it means for low and middle-income countries. The financial side is what I call a rational bubble. Okay. The bubble element of it is at the end of the day, we're going to look back and see a lot of investments prove to be worth very, very little. Why is it rational? Because it's the venture capital approach. The payoff to whoever dominates the AI race is huge. Absolutely huge. It's very hard for people to figure out which of the actors will dominate. So if you want to invest in that world, you have a venture capital approach where you spread your capital across a lot of players on the hope, the typical venture capitalist hope, that if one or two pays off, it will more than compensate for the losses on the others. Now that is usually played at a small scale. The AI requirements are absolutely huge. So the amount of capital being bet that's now going to different platforms is enormous, absolutely enormous. So at the end of the day, unless we have a situation where there are many, many winners, and most people don't think that is the likely outcome, a lot of money invested will be worth very, very little. Add to that that the incentive of the large platforms is exactly what Ronald Reagan did with the Soviet Union, which is engage in a spending war and arms race, and you can see the amount of money that will be pulled into that sector relative to what it's likely to pay off is going to be very, very concentrated. So it's a rational financial bubble. For the economy, that's great. This is why we praise US capital markets, because they're willing to fund all sorts of risk-taking. Go to the UK. They have a massive problem with capital. There isn't enough capital willing to take these sorts of risks. And if you believe, like I do, that AI has an enormous productivity potential, it has risks but it has an enormous positive productivity potential, it's wonderful that you get a marketplace that's willing to allocate so much money for people to innovate. Then comes the developing country aspect. And here I'm going to quote Markus and Hans, if I may. I had a wonderful call, and they are the experts. So I'm going to quote them. It is not like you can simply drop the technology, because the development of the technology will not take into account local conditions. You need the ecosystem to be able to benefit from these technologies. So we can have massive gains on what the World Bank calls small AI: health, farming, education. But big AI that really moves the needle on productivity needs a lot more supportive initiatives. And again, this is where CGD comes in. There's work being done on this, both how do you try to inform the platforms of the importance of looking at different country conditions, and also what are the requirements, the necessary conditions, that you would need for this technology to fulfill what I think is a tremendous promise.