The Kobeissi Letter said on July 12 that the U.S. economy is becoming increasingly dependent on AI investment, with AI-related spending now making up more than 25% of U.S. GDP growth, a record high. The figures cited cover software, IT equipment, research and development, and data center construction.
In practical terms, the note said that for every $4 of economic growth in the United States, more than $1 is now being driven by AI investment. It also said AI-related spending has risen to about 8% of U.S. GDP, also a historic high.
For comparison, during the 2000 dot-com bubble, spending on IT equipment, software, and research and development peaked at roughly 6.5% of GDP. The Kobeissi Letter said current U.S. economic growth is increasingly centered on AI.
BlockBeats reported on July 12 that The Kobeissi Letter said the U.S. economy is becoming increasingly reliant on AI investment.
According to the note, AI investment now accounts for more than 25% of U.S. GDP growth, the highest level on record. Put another way, more than $1 out of every $4 of U.S. economic growth is now being driven by AI investment. The spending includes software, IT equipment, research and development, and data center construction.
The Kobeissi Letter also said AI-related spending has climbed to about 8% of U.S. GDP, another record high. By comparison, during the 2000 dot-com bubble, spending on IT equipment, software, and research and development peaked at about 6.5% of GDP.
The note said U.S. economic growth is now increasingly revolving around AI.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
