# Jevons Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "Jevons", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

The year 2026 marks the beginning of "computing power inflation." While AI inference costs have dropped by over 80% in 18 months globally, China's three major cloud providers—Alibaba Cloud, Baidu AI Cloud, and Tencent Cloud—simultaneously announced price hikes of 20–30%. This reflects a deeper structural shift driven by Jevons Paradox: as unit costs fall (e.g., via models like DeepSeek-R1), demand explodes, especially with the rise of reasoning models and AI agents that consume 10–50x more tokens per task. Although DeepSeek open-sourced its model weights, it did not release its inference optimization stack, leaving a significant engineering efficiency gap between cloud providers and smaller players. The big three are leveraging this advantage to reposition: Alibaba focuses on high-margin premium clients, Baidu filters out low-value users, and Tencent capitalizes on ecosystem lock-in. Meanwhile, ByteDance’s Volcano Engine adopts a more moderate pricing strategy to capture displaced customers. Unexpectedly, the price surge is pushing large enterprises toward self-built computing solutions once their cloud bills exceed a certain threshold. While cloud providers aim to boost profitability, they risk driving away innovative startups and accelerating competition from GPU leasing and domestic hardware providers like Huawei. The涨价 trend is expected to persist for 2–3 years, fueled by rising token consumption from reasoning models, AI agent adoption, and NVIDIA export restrictions. The inflection point depends on whether domestic chips can match NVIDIA’s efficiency, likely around 2027–2028. Until then, cloud providers will maintain pricing power, and the key for AI companies is to optimize token usage—the real moat in this era.

marsbit04/17 01:16

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

marsbit04/17 01:16

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

a16z's Charts of the Week explores four key trends. First, while a "DExit" (Delaware Exodus) narrative exists due to high-profile companies leaving over legal concerns, data shows a more complex reality. Delaware's overall share of U.S. businesses has actually grown, though Wyoming has seen a surge in LLC registrations. Second, AI demonstrates the Jevons Paradox: as the cost to process AI tokens halved this year, usage doubled. Demand for older GPU rentals (H100, A100) is also rising, contradicting predictions of a compute glut. Historical parallels suggest the full economic impact of AI may take time to materialize. Third, AI capital expenditure is massive, comparable to annual U.S. bank lending and significantly larger than U.S. corporate tax income or the military budget of any non-U.S. G7 nation. Fourth, the prediction market Kalshi is outperforming professional forecasters and futures markets in predicting the Federal Funds Rate, providing a valuable high-frequency, probabilistic benchmark. Finally, data shows a stark delay in life milestones for 30-year-olds in the U.S. Since the 1980s, far fewer are living independently, married, living with children, or owning a home. The only exception is college attainment, which has nearly doubled since 1995, though the value of a degree is increasingly questioned.

marsbit03/01 02:49

a16z Charts of the Week: AI Costs Halved and Usage Doubled This Year, Major Life Milestones for 30-Year-Olds in the US Delayed Across the Board

marsbit03/01 02:49

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