Anthropic Wanted to Replace Engineers. Instead, They Shot Their Own Customers — SkimNews

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- AI labs sold AI software-engineer subscriptions for about $20 a month to everyone rather than only to large enterprises, undercutting the recurring-revenue software model the industry expected to capture by replacing human engineers.
- Adobe-style subscription toll booths lose revenue when designers swap a $60-a-month Photoshop seat for a free, weekend-built GitHub clone, so subscription money evaporates instead of migrating to the labs that subsidized the tooling.
- $200 premium coding plans work out to $2,400 a year — less than one month of a senior engineer's salary at Google — while the heaviest users burn compute worth many times what they pay, making the listed price a marketing expense rather than revenue.
- Amazon, Alphabet and Meta alone planned roughly half a trillion dollars of capital spending for 2026, much of it on AI data centers, a bet that somebody eventually pays real money for intelligence.
- Llama was open-sourced by Meta on February 24, 2023, an act the source links to Mark Zuckerberg and the open-source community, and Chinese labs followed, so free, permanently downloadable open-weight models block any move to $150,000-a-year pricing for an 'AI employee.'
- De Beers controlled diamond supply for roughly a century to keep prices high until lab-grown diamonds collapsed the scarcity story — the source's historical parallel for open-weight models breaking AI pricing.
- OpenAI and Anthropic are stuck, the source argues, because they neither sell pickaxes like Nvidia, nor protect a separate business like Meta, nor are vertically integrated, leaving them to dump 'silver' at $20 while the price of their own product falls toward zero.
Why it matters: Adobe-style software vendors built their revenue on subscriptions like the $60-a-month seats the source says are being swapped for free clones. With Amazon, Alphabet and Meta alone planning roughly $500 billion in 2026 capital spending, the labs' $20-a-month pricing is funding infrastructure while the enterprise revenue that was supposed to pay for it disappears.
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