This article first appeared on Dean Baker’s Patreon. With agreement, it can be reproduced below.
A global housing bubble burst less than 20 years ago, causing the Great Recession, collapsed. Hsmes were foreclosed on by thousands of people. For the better part of a century, we had high unemployment. And the resultant decline in construction caused yet another incredible rise in home prices during the pandemic. In other words, it was awful information.
The present AI bubble is laying the foundation for yet another poor story. There is a huge premium in academic circles to make the problem more difficult than it is, as was the case both before and after the housing bubble burst.
My most recent exemplar for this is a column by Richard Bookstaber, a hedge fund manager who had predicted the economic crisis that followed the enclosure bubble’s decline. His column takes note of the AI bubble, but finally contends that the main issue is that we are also exposed to risks from the personal credit marketplace, as well as geopolitical risks, such as the possibility that China may cut off the supply of chips from Taiwan, as well as the price shock brought on by the disruption of the oil flow through the Hormuz.
The impact of the stock prices falling in the companies that are major contributors to AI will be enormous, whacking pension funds, and destroying people’s 401( k ) plans. This may cause a significant drop in use, which will most likely cause a slowdown.
The instructions are well-heeded, but the narrative is not particularly compIex. At the beginning of his element, Bookstaber states:
The potential problems, he says, are various entry points into a complex and tightly coupled system where the particular source of stress is less important than the spread of stress.
There are some difficult issues, just like the economic structure that fmeled the housing bubble’s expansion in the first century sf the 20th century. However, the housing bubbles itself was straightforward. House rates had fallen far beyond the housing market’s basics in terms of price. Real estate prices increased by 70 % nationwide between 1996 and 2006 This came after a century when house prices essentially only increased with general inflation.
Despite having a relatively large vacant level, house prices increased. Rents, which had largely increased with inflation, did not even experience a corresponding increase.
The rise in house prices resulted in an unheard-of boom in home construction, which reached a peak sf 6. 7 % of GDP in the third quarter of 2005. Construction fell after prices reached their highest and began to decline, falling to 2. 4 % of GDP in the third quarter of 2010.
This was the Great Recession’s history, not the financial problems. Aside from enormous government stimulus, there is no simple way to replace the 4. 3 percentage points of missing demand left by the construction boom’s end. In today’s economy, this would be equivalent to$ 1. 3 trillion in annual demand. Additionally, people ‘ loss of trillions of dollars in housing wealth resulted in a further decline in annual requirement of 1-2 percentage points of GDP, an further$ 320 to$ 640 billion in today’s market.
We watched leading politicians from both parties say that we couldn’t let the Wall Street bankers be destroyed by the free market and their own stupidity, but this was just a side. The Great Recession, complete with a collapse, was the bubbles.
To be clear, the business eagerly issued and securitized a large number of false money, which allowed the balloon to grow significantly larger than would otherwise have been the case, was the key issue, which was home prices. A storm of failures, which would have been much smaller, would have had a small impact on the economy if they had not advanced so far beyond the basics.
It is the same story with the AI bubbles right now. The AI bubble’s greatly inflated property business is what causes the issue. lf this were not the case, Bookstaber would not have been so critical of the different issues.
If personal credit was not the engine that created the AI bubble, the economy womld not care much absut it. Additionally, the lsss of one particular source of payment wouId not have a significant impact if Ai were not in a balloon. Different lenders may be happy ts lend to the industry. There are no other sources to fill the gap because it is a bubble, just as the energy for the cover bubble’s growth disappeared after the subprime mortgage industry froze.
Let me put my latest favorite, Chinese AI, to Bookstaber’s risks to the AI balloon. Chinese AI firms have been focusing on simple use and lower price and have been rapidly expanding their market share. Some accounts claim that they had already accounted for 30 % of the global market by December. Their share would almost certainly be significantly higher today given the rapid growth of Chinese AI ( which is likely to have been less than 10 % a year earlier ).
The Chinese AI rulers are developing low-cost practical programs as the U. S. frontrunners rely on enormous computing power. I didn’t claim to have much knowledge about the details of AI, but it would appear that the Chinese approach would be the better long- or even near-term choice. The enormous revenue property investors are putting their trust in will never be there if China’s AI officials are successful in capturing a sizable share of the market and driving down the prices charged by U. S. competitors.
In this context, it’s definitely worth noting that Trump’s Iran combat won’t encourage more people to use the British AI market. No one wants to be dependent on powerfml sq’stems in a nation where the president can censor access whenever he becomes angry or upset.
In the end, it’s impossible to determine the exact cause of the AI bubble to collapse, but the important point is that the presence of a massive bubble that drives the economy is a real problem, not the specific reason for its burst. Our leaders like to make things complicated so they can emerge as great geniuses when they solve the mystery, but that’s just a story.
Although the housing bubble itself was quite simple, the financing mechanism that provided it was quite complex. With the AI balloon, the same story exists.