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first_img U.S. Treasury Secretary Janet Yellen: Artificial Intelligence cannot be compared to the Internet bubble

According to attendees, U.S. Treasury Secretary Bessent stated during a closed-door meeting on Wednesday that there are no systemic issues in the artificial intelligence industry, and it cannot be compared to the internet bubble at the turn of the century. Bessent expressed an optimistic attitude towards this cutting-edge technology, believing that technological advancements will benefit the United States, but also acknowledged that data centers and AI companies have not done enough to explain the benefits of this technology to the average American.The closed-door meeting attracted over a hundred executives and investors from the financial industry, with ticket prices starting at $7,500 and top sponsorship packages costing up to $100,000. Proceeds from the meeting are used for charity. This year marks the 14th edition, having raised nearly $72 million in total. Bessent has publicly predicted multiple times that the development of artificial intelligence will significantly increase productivity and greatly boost U.S. economic growth. Currently, there is growing concern in American society regarding investments in artificial intelligence and data centers, leading to a sell-off of AI stocks.Former U.S. Treasury Secretary Yellen pointed out that she always confirms the presence of the media and issues public reports when she gives speeches. Bessent's office responded that his views expressed at the closed-door meeting had been publicly stated before and do not involve issues of transparency; in addition to artificial intelligence, he also discussed his views on the U.S. economy. More and more regions are beginning to oppose the construction of data centers, which is affecting the upcoming U.S. midterm elections, leading to a decline in support for U.S. President Trump and the Republican Party.

first_img Analysis: The demand for AI infrastructure is longer than that of the internet, and general programming still drives ARR

Analysis of the AI semiconductor and infrastructure cycle indicates that the demand for AI infrastructure will continue to exceed that of the internet era, as user penetration and per capita token are multiplied and converted into tokens, significantly raising the ceiling. User penetration has surpassed 50%, with growth primarily coming from the still-early per capita token; the median monthly AI spending per employee in U.S. companies is about $12, which could long-term approach around 10% of white-collar salaries, approximately $1,000 per month, leaving nearly two orders of magnitude of space in between. Unlike the flat subscriptions and extremely low marginal hardware consumption of the internet, the high costs of inference make the marginal cost of a single access higher, requiring greater infrastructure intensity.After developers program, the next ARR growth will still mainly come from broad programming: non-programmers use programming infrastructure to complete non-programming tasks across industries, with programming becoming the default execution kernel for agents. Tasks related to broad programming account for about 60% to 70% of ARR. As of June 2026, Codex accounted for 64% of the total output tokens from Codex and ChatGPT among OpenAI's enterprise clients; since February, Codex has seen a much higher weekly growth in verticals such as law, sales recruitment, and marketing compared to engineering. In Anthropic's revenue, narrow development/software accounts for about 40%, while finance and insurance exceed 20%, with law, life sciences, retail, and others also having considerable shares.The demand-side token growth logic remains, with a high overlap between funders and beneficiaries.
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