@0xCheshire: Chamath just revealed a deeply unsettling truth for the AI industry. He asked his own CTO to review the company's spending, and the result was staggering: "Our token costs are doubling every 45 days," yet the downstream productivity gains are at most about 5%. Costs are skyrocketing exponentially, while returns remain basically flat...
Summary
Chamath reveals the harsh reality of AI costs vs. returns: token costs double every 45 days, but downstream productivity gains are at most 5%. Large model capability improvement has hit an asymptote, and within the next 3-4 years, every company will face an ultimate reckoning between cost and benefit.
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Cached at: 07/13/26, 05:58 PM
Chamath just revealed a truth that has shaken the AI industry to its core.
He asked his own CTO to review the company’s spending, and the results were staggering:
“Currently, our token cost doubles every 45 days,” but downstream productivity gains are at most about 5%.
Costs are skyrocketing exponentially, yet returns remain essentially flat.
The capability improvement of large models has actually reached an asymptote. Now, obtaining even the slightest next round of improvement requires consuming a massive amount of tokens.
Chamath pointed out that within the next 3 to 4 years, every company will inevitably face this ultimate reckoning between cost and benefit.
Cheshire🔔|Crypto+AI Plus (@0xCheshire): Chamath: Modern developers no longer need so-called “judgment.”
In the past, 10x engineers were awesome because their judgment crushed that of ordinary people.
But now, AI agents have turned everyone into a 10x engineer. There’s simply no differentiation left at the code level.
If you start a company today, will you still agonize over which database to use at the infrastructure layer? Will you still weigh whether to choose GCP, AWS, or Azure?
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@FinanceYF5: Chamath said he asked the CTO about the company's AI token spending today and got a shocking answer: token costs double every 45 days, but downstream productivity improves by at most 5%. His exact words were that costs double, benefits stay roughly flat, and the team found that to iterate to the next generation of capabilities, the amount of tokens required grows exponentially, because...
Chamath revealed that his company found AI token costs double every 45 days while downstream productivity improves by at most 5%. He believes AI development is approaching a bottleneck and suggests companies reconsider their strategies or even consider exiting.
@DashHuang: Imagine AI as digital employees. It's normal for the salary of subordinates managed by one person to be at a 1:1 ratio, or even 1:10, with their own salary. Therefore, it is foreseeable that the cost of AI tokens will match or exceed employee salaries in the future. Of course, the measurement of ROI will be the same as for team size and salary costs.…
Compares AI token consumption to digital employee salaries, predicts token costs will match or exceed employee wages, and discusses how businesses measure ROI and control costs.
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