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posted ago by Narg ago by Narg +55 / -0

It's hard to argue with the headline point. AI is one EXPENSIVE business to build, and it's a huge on-going expense to RUN.

The cost of most brands and models of computer, gaming console, phone, and SSD has already GONE UP, and projections are for prices to stay high and perhaps go higher over the next two or three years. All because data centers are consuming so much memory and other electronics that there just isn't enough LEFT on the market for Apple, Dell, and everyone else.

And building a chip fab is a multi-year and multi-billion-dollar project, so the chip famine won't be going away soon. And if/when the AI industry gets sated and stops buying at such scale, those new fabs will be short on customers. Damn. Capitalism is scary; no wonder all the cool kids want to socialize their losses while retaining ownership of their profits.

Electricity prices are rising also, with AI sucking so many electrons out of the grid that utilities are having trouble keeping up.

How large are these monsters? Brave AI has this to say:

Current AI data centers have transitioned into the "Gigawatt Era," with the largest facilities consuming as much power as major metropolitan cities. The largest AI data center by IT power is Colossus 2 (owned by xAI in Memphis, TN), which draws approximately 946 MW of power, followed closely by Anthropic-Amazon New Carlisle at 910 MW and Microsoft Fairwater Atlanta at 636 MW.

In terms of physical scale, these campuses are massive, with some spanning thousands of acres—OpenAI’s Stargate project in Abilene, Texas, covers 875 acres (3.5 square kilometers).

Does any of that sound like "free" or "cheap?"


https://www.oftwominds.com/blogjuly26/AI-subsidies7-26.html

Let's pull all this into an undeniable conclusion: AI is based on massively subsidizing users' costs.

What's already abundantly clear but verboten to say as it would pop the bubble of AI valuations and triumphalism is that AI is unaffordable once the direct and indirect subsidies are withdrawn. Nothing that consumes this much electricity and requires such an immense scale of costly processing and memory capacity can be low-cost, never mind free.

The major AI platforms and vendors are subsidizing corporate and individual users in the hopes that they can achieve AI sector dominance --and the pricing power that comes with it--via the network effect, the dominance generated by having the majority of users bound by habit or dependence to your platform or tools. [Editorial comment: I very much doubt that's the only reason, but . . . that's another story, and scarier than this one . . .]

This battle for network effect dominance is playing out in full view:

AI Giants Are Handing Out Tons of Free Computing Power to Grab Startup Share: (wsj.com)

Pitched battle for business users comes as AI companies seek lasting streams of revenue.

Hans Ibarra, a founder building an AI-voice startup, has found himself on the receiving end of a big opportunity: Top artificial-intelligence companies such as OpenAI, Anthropic and others desperate to win his business are ramping up discounts.

Across Silicon Valley, startup founders like Ibarra are enjoying a wave of computing credits and fielding competing offers from AI-model makers racing to land new enterprise customers. Cursor, the AI-coding company bought by Elon Musk's SpaceX, offered a 75% discount through July 5.

"If I'm choosing between a really cheap Chinese model that I actually have to pay for, and a very expensive Anthropic model that I don't have to pay for, I'm going to pick the Anthropic model," Acker said. "I'm always going to pick the one for which I have free credits."

Meanwhile, back in the real world of costs, AI Costs More Than The People It Replaced (forbes.com)(via Tom D.)

It turns out that experienced human workers doing the work right in the first place is cheaper than having AI run a probability distribution process that needs vetting and corrections. And remember, AI isn't actually "intelligent," it's just a probability distribution using natural language.

. . . There are many other hidden subsidies within the AI machinery. There are corporate tax write-off subsidies, energy subsidies, tax credit subsidies for building data centers, and so on. If these were stripped out, what would the real unsubsidized costs of AI be? No one knows, but they would be higher than what's presented as the cost now.

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