TechCrunch discusses Microsoft’s GitHub Copilot pricing changes as a sign that subsidized AI usage may be ending. As Anthropic and other major AI companies prepare for public-market scrutiny, profitability and usage-cost risks will become harder to ignore. The piece argues that higher prices, usage caps, and broader business-model changes may be necessary if AI labs want to survive beyond investor-subsidized growth.
Based only on the title, the piece likely treats Uber's $1,500/month AI limit as a useful benchmark for AI tool pricing. The key implication is that enterprises may accept much higher AI budgets than consumer subscriptions when productivity gains are clear. At the same time, a fixed cap suggests companies still need spending controls, usage governance, and clearer ROI before AI costs scale broadly.
Simon Willison says Claude Code/Cowork and OpenAI Codex have changed the economics of frontier AI. Personal subscriptions can still be bargains for heavy users, but enterprise plans are increasingly priced like API token usage. His core claim is that coding agents burn far more tokens, yet deliver enough value to high-paid knowledge workers that companies will pay materially more.