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>means you are now paying more for AI than you are employees.

Yea, isn't the entire point of RSI to replace your employees altogether? So you'd spend an infinite amount more on AI than employees in that theoretical.

Like, if you were in an energy generation business spending way more on fuel and capital expenditures is way better than having zillions of employees earning checks , it would be a sign of efficiency.

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Anthropic's use of AI in no way translates or represents any other companies' use of AI, so your apparent extrapolation makes no sense.
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Anthropic is full of the smartest talent and a bellwether for how the rest of the service industry will work. Just as cutting edge companies of the past, like 2005-2020 Google's use of computers and software were indicative of the software every other service company was going to be using, lest they turn into an old fashioned uncompetitive dinosaur.
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Wikipedia tells me that "service industry" is a term that includes transportation companies and law firms.

So you are apparently now claiming my local train company or law firm will be using as many tokens per employee as an A.I. lab.

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Yes service industry is quite broad, is white collar work more clear in general? Yes, it is quite obviously apparent that law firms are and will be using lots of token-based intelligence. They won't be using the same tokens at the same time as an A.I. lab. However, the best law firms of 2029 will be using approximately the same tokens per employee as an A.I. lab of 2026, that much is clear.
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> . However, the best law firms of 2029 will be using approximately the same tokens per employee as an A.I. lab of 2026, that much is clear.

This is as if you learned that Anthropic scanned 1000 books per employee this year to train their models and your conclusion was that the best law firm will be scanning 1000 books per employee by 2029.

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You still pay input tokens for Jev. "Should I crash this train, YES/NO?"
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