数据中心激增正引发第三波通胀
Explosion In Data-Centers Fueling Third Wave Of Inflation

原始链接: https://www.zerohedge.com/technology/explosion-data-centers-fueling-third-wave-inflation

尽管燃料和食品价格等更广泛的通胀指标显示出降温迹象,但对人工智能基础设施的大规模、史无前例的投资,正在给消费价格带来新的上涨压力。 被称为“人工智能军备竞赛”的浪潮预计在未来六年内将投入 8 万亿美元的资本支出,这正在消耗海量的电力、存储设备和专用硬件。需求的激增推高了批发组件的成本,导致苹果、索尼和微软等公司提高了消费电子产品的价格。此外,新建数据中心巨大的电力需求预计将加速电价的上涨。 经济学家对这一现象的长期影响看法不一。尽管一些人认为人工智能未来将成为一种能够提高生产力和工资的反通胀力量,但普遍共识是,当前的“建设”阶段将消耗大量资源,并使通胀在未来几年内保持高位。现在的挑战在于,这项技术转型带来的短期成本是否会先于预期的长期生产力提升,从而对整体经济产生影响。

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原文

We're finally starting to see hints of relief when it comes to inflation. Prices at the pump are starting to come down, monthly core CPI momentum has slowed, used cars were down around 2% YoY, and food inflation is starting to moderate. On the other hand, there's America's massive explosion in artificial-intelligence infrastructure - which is beginning to push prices up on everything from electricity to smartphones.

On Thursday Apple announced15-25% price hike on Mac computers and iPads, after CEO Tim Cook told the Wall Street Journal that the jump in costs was unlike anything he had seen "in any area in over 40 years." An Apple spokesperson placed the blame on the "rapid expansion of AI data centers, which has created an extraordinary surge in demand for memory and storage," causing component prices to surge.

Elon Musk agrees...

As the Wall Street Journal notes; 

The money pouring into the AI arms race is unprecedented. Analysts peg capital spending at five of the so-called hyperscalers—Alphabet, Amazon, Meta Platforms, Microsoft and Oracle—at $741 billion this year, according to FactSet, up nearly 75% from last year.

Where is all that money going? While much of the conversation is focused on what AI can do, the build-out itself is strikingly physical, said Columbia University economist Stijn Van Nieuwerburgh. -WSJ

AI data centers require specific, sophisticated equipment to ensure cool, stable operation - as well as electric and fiber-optic cables and backup generators in order to keep them running 24-7. According to the report, Van Nieuwerburgh estimates that the AI buildout could cost somewhere in the range of $8 trillion over the next six years. As such, the demand for components shared throughout the economy (memory, for example), the effects are now trickling down to consumer electronics - like iPads. Other companies such as Nintendo, Microsoft and Sony have all raised prices on devices. 

According to the Labor Department, consumer prices for computer software and accessories were up around 15% from a year earlier in May, while the Department's measure of wholesale electronic components and accessories shot up 27% from a year earlier last month. 

 When it comes to electricity - the price began to rapidly increase during covid - and it's now slingshotting even higher. Note the rate of change in the lower panel. 

According to Goldman, data centers will account for nearly half of US growth in power demand through 2030 - and see consumer electricity prices rising around 6% annually in 2026 and 2027. 

The Journal also notes that while tariffs and oil were one-time economic shocks, the AI shock to demand could persist for years

That dynamic is reflected in the rally in the shares of chip stocks, which have moved sharply higher on investor expectations of sharply higher demand. Even with a sharp selloff this week, the PHLX Semiconductor Index is up about 150% over the past year.

Of course, more than just chips go into data centers. And like chips, a lot of the other things that go into building and running a data center are used widely across the economy. That could raise costs for a variety of businesses, which may then try to recoup those costs by charging consumers higher prices.

In some instances, the AI build-out could also add to labor costs. Wages for workers who are in demand from data-center construction have been picking up: Average hourly earnings for electrical and wiring-installation contractors were up 6.5% in April from a year earlier, which compared with 3.6% for all private-sector workers. -WSJ

Still, economics aren't predicting an AI-fueled inflation surge like we saw during Covid. 

In November, now-Fed Chairman Kevin Warsh wrote in a WSJ op-ed that "AI will be a significant disinflationary force, increasing productivity and bolstering American competitiveness," arguing "productivity improvements should drive significant increases in real take-home wages. A 1-percentage-point increase in annual productivity growth would double standards of living within a single generation." 

Yet, UBS economists think that the delta between the current building frenzy and AI lowering prices will be at least a couple of years

According to a Monday survey by the National Association for Business Economics, 81% of those polled said the AI build-out will add to inflation over the next year.

"In the first phase of any major technological revolution, you tend to have a strain on limited resources, and that tends to put upward pressure on prices," EY-Parthenon chief economist Gregory Daco - president of NABE - told The Journal

TL;DR - the AI build-out may keep inflation broadly elevated, and at some point it may all be worth it in the form of disinflationary productivity. Then again, who's going to buy anything when tens of millions are without jobs that are now done by AI?

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