AI 即将迎来的现实检验:当物理定律最终击碎炒作时
AI's Coming Reality Check: When The Physics Finally Hits The Hype

原始链接: https://www.zerohedge.com/ai/ais-coming-reality-check-when-physics-finally-hits-hype

克里斯·麦金托什(Chris MacIntosh)认为,当前的 AI 热潮是由过度的炒作和风险投资补贴所驱动的,而这些补贴忽视了该技术底层的物理现实。虽然大多数人关注的是 AI 的潜力,但麦金托什强调 AI 是能源密集型且资本密集型的技术,这导致了实际生产成本与用户支付价格之间存在巨大的脱节。 他概述了三种潜在的结果: 1. **行业成熟:** 一种缓慢的“挤压”过程,即财务纪律迫使低价值的“AI 垃圾”出局,从而使估值回归理性并转向关注盈利能力。 2. **能源作为仲裁者:** 如果能源成本上升且资本市场收紧,AI 的经济模型可能会崩溃,导致大量公司倒闭和痛苦的市场修正。 3. **AI 兑现承诺:** 一种普遍预期的情景,即生产力的提升证明了当前估值的合理性——但麦金托什认为这种结果极不可能实现。 最终,麦金托什警告称,目前的 AI 更多地是作为受补贴的成本中心,而非利润引擎。他认为,一旦这一现实显现,且廉价资本的“福利快车”终止,市场将不可避免地回归均值,并可能引发严重的经济衰退。

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原文

Authored by Chris MacIntosh vis InternationalMan.com,

In five years, we’ll all likely be chuckling and shaking our heads over AI. Because today, the tech feels free and limitless, doesn’t it?

People are generating endless content: images, videos, memes, code snippets, social posts. Companies are bolting AI onto products by default, the way every Fortune 500 company suddenly discovered they were “sustainable” five years ago.

There’s much deliberation on AI right now, and it splits into two main camps of thesis:

  • The majority — those who will die on its hill of promise, convinced we’re months away from effective altruism, UBI, and sentient toasters.

  • And the minority — usually older, more experienced types — who don’t fully understand it, but look at numbers, remember the dot-com bust, and think this rhymes. We’ll leave that debate to the dinner parties.

What interests us is something more boring. Physics. Because here’s the thing: AI isn’t free.

Every token represents electricity. Something your average developer, product manager, user, or investor gives precisely zero thought to.

Electricity means power plants, transmission lines, grid infrastructure — yes. It also means hot sheds; capital-intensive data centres and all the equipment, cooling systems, and real estate that go with them. Real things. Physical things.

We are surrounded by hype without consideration for the physics.

Right now, there’s a disconnect between the physical cost of this technology and the price users pay for it.

That gap is being covered by Wall Street, venture capital, pension funds, hyperscaler balance sheets, and strategic spending on “growth” (a word which here means “losses we’ve chosen to rebrand”).

The question is: what happens when that gap closes?

Scenario 1: The Industry Matures

No outright collapse, but financial discipline arrives. A novel concept in Silicon Valley. Low-value usage disappears first. “AI slop” dies because the people generating junk stop when it costs them actual money. Turns out nobody’s willing to pay real dollars to have a chatbot write their LinkedIn thought leadership posts. Tragic.

Serious users — those deriving profit or genuine productivity gains — remain. Growth slows but doesn’t stop. GPU upgrade cycles stretch from two years to three or five or seven. Valuations compress. The froth comes off but the infrastructure remains important.

The boardroom shifts from “infinite logarithmic growth” to “focus only on what’s profitable.” Less bubble burst, more long, slow leak of disappointment. A bit like ESG.

Scenario 2: Energy as the Arbiter

Now overlay structurally higher energy prices. You know, the thing everyone was told wouldn’t matter because we’d all be running on solar and unicorn farts by now. If power becomes materially more expensive while capital markets tighten simultaneously, the economics get a lot harder.

Inference costs rise. Training LLMs gets hella more expensive. Shareholders start feeling like they’re holding the next NFT apes. Spending slows sharply. Many AI firms disappear. Hyperscalers pull back, maybe with taxpayer assistance (they are, after all, strategically important to those in power — funny how that works).

GPU cycles extend further. Seven-plus years between major upgrades becomes normal outside the top tier. Markets correct hard. Confidence takes a long time to rebuild.

This is not the end of AI, but a reset. Users will fondly remember the “good old days” when it was free. When one could generate a movie scene and post on X about how they just ended a billion-dollar production company’s business model. Peak delusion makes for great content.

Scenario 3: AI Actually Delivers

There is also the upside case, though we admit it’s included here much like a “minority” conspicuously placed on a corporate board — a box-ticking exercise.

In this scenario, AI meaningfully increases productivity across enterprises. It reduces costs durably. It embeds itself in everything from coding to logistics to research. The sentient toaster.

Higher energy prices don’t kill demand because efficiency gains outweigh them. Hardware cycles remain short. Today’s valuations look justified in hindsight and Jensen Huang’s leather jacket gets its own wing at the Smithsonian.

For anyone familiar with us, you’ll know we think this is the most unlikely scenario. And yet it’s by far the consensus view. Which, if you’ve been paying attention to consensus views over the past decade (“inflation is transitory,” “ESG is the future,” “commercial real estate is fine”) should tell you something.

The gap between expectations and likely reality remains wide open. For Insider members, you’re familiar with the portfolio positioning and Nasdaq hedge.

What Really Matters

The key variable isn’t whether AI is impressive or useful (it is). The key variable is whether AI becomes a true profit engine or remains a subsidised cost centre dressed up in a hoodie and a TED talk.

If profitable and productivity-enhancing, current valuations are justified and the gravy train keeps chugging. If it remains mostly hype layered over weak economics, spending contracts, hardware cycles extend, and we could have an absolute humdinger of an economic “event.”

A ten-year stagnation would require something extreme: demand dropping significantly, hyperscalers becoming hyposcalers, capital markets wanting nothing to do with AI, and energy remaining expensive — all at once. Stranger things have happened. Just ask anyone who bought Peloton at $170.

Almost 50 years of history show this eventually reverts to the mean… and the pendulum swings the other way.

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The AI boom is just one example of a much larger shift already underway—where economics, politics, energy, and culture are colliding in ways most investors are not prepared for. That’s why we’ve prepared a special report, Clash of the Systems: Thoughts on Investing at a Unique Point in Time. In it, you’ll discover the key trends unfolding right now, the risks they pose to your money and personal freedom, and what a contrarian money manager believes you could do to stay one step ahead. Get your free copy of Clash of the Systems now.

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