This is a long but fascinating video. Cory Doctorow talks about what AI is, what it can and can't do, and why the AI bubble will pop and what it will look like when it does.
He talks about "process knowledge" — how firms depend on the unwritten knowledge that makes them work. His example is how a machine breaks down, and how new workers are told that you contact the guy who used to fix that machine or its predecessor, and who has retired but for £50 will come in and fix it. My example is Mrs McGinty in dispatch who knows whom to contact when things go wrong, who will be late, who can be relied on, and who needs to be chivvied. When she retires or is fired (to save money!) dispatch stops working. His point is that workers will be laid off because AI will be able to do their jobs, except it won't, so the workers will have to be rehired, only they will have moved on. So critical process knowledge will be lost.
He and his interviewer compare how the railway boom popped, but the capital stock (the railways themselves, the rolling stock, the property infrastructure) remained. All governments had to do was to pay off the creditors, and give the bankrupt companies enough money to get them restarted. Once restarted, they could keep going by themselves. But AI isn't like that. There is no equivalent of railways tracks, and the rolling stock depreciates in a couple of years rather than over 30 years, because Nvidia continually improves the chips used by making them more and more specialised, but doesn't bother to retrofit its newer chips to the older ones, which means that every three years, data centres have to be levelled to the concrete and completely refitted. There isn't enough money, private or public, which will be able to save these companies in the same way the railways were saved.
He discusses how Nvidia sells chips, then lends the money to buy those chips to its customers ("circular finance"), but nevertheless still counts those "sales" as sales, and says it is making a profit on them, when its customers are unlikely ever to repay their debts. The debt structures needed to fund data centres are vulnerable to a credit crunch, because most of the credit is provided by risk-avers investors who have written many escape clauses into the contracts. These include connecting to the grid, diesel generators, sourcing water for cooling, completing construction on time, and if these targets aren't reached because too many data centres are being built or opposition is too strong, there will be a cascading collapse.
There are many more insights and examples, too many to try to summarise here. But he is the first analyst I have seen who clearly really understands AI and can also communicate well with non-nerds like me.
My two key conclusions from watching this video are:
- AI is not going to take over the world. It can't, because it's not actually intelligent.
- the AI bubble will pop, and that is likely soon, because credit is tightening, Central Banks are raising interest rates, and bond yields are soaring.