Wtf Anthropic

2026-04-22 · Source: Matthew Berman · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Corporate Strategy & Leadership · Depth: Advanced, extended

Summary

Anthropic is facing significant challenges due to a miscalculation by CEO Dario Amodei regarding compute investment, leading to a severe compute shortage amidst surging demand for its Claude models, particularly for agentic coding use cases. This shortage has resulted in a "PR and comms nightmare," characterized by confusing policy changes, opaque token usage restrictions, and abysmal uptime (98.8% for claude.ai). Users, especially those on Pro plans and utilizing third-party tools like OpenClaude, have experienced unexpected removal of Claude code access, quota manipulation, and a new tokenizer in Opus 4.7 that increases token consumption by 1-1.35x. Competitor OpenAI is actively capitalizing on Anthropic's missteps, resetting usage limits for its Codex users and acquiring key developers like OpenClaude's creator, Peter Steinberger, while maintaining superior compute capacity and clearer communication.

Key takeaway

For AI Product Managers and AI Engineers relying on Anthropic's Claude models, be aware of the ongoing instability in service and policy. Your current subscription benefits, especially for agentic workflows or third-party integrations, are subject to sudden, opaque changes and potential quota manipulation. Consider diversifying your model usage to include alternatives like OpenAI's Codex, which offers more predictable access and clearer communication, to mitigate operational risks and ensure consistent project execution.

Key insights

Anthropic's compute miscalculation and opaque policies are alienating users, while OpenAI aggressively captures market share.

Principles

• Underestimating demand creates critical infrastructure deficits.
• Clear communication builds user trust and loyalty.
• Policy changes should prioritize user experience and transparency.

Method

Anthropic's business flywheel involved building superior coding models, selling to enterprise for revenue and data, then using that data to train next-gen models, but this broke down due to insufficient compute investment.

In practice

• Monitor competitor's policy and pricing changes.
• Prioritize clear, consistent communication on product changes.
• Invest proactively in infrastructure to meet demand.

Topics

• Anthropic Business Strategy
• Compute Capacity
• Claude Code
• OpenClaw
• Token Quota Management

Best for: AI Engineer, Director of AI/ML, AI Product Manager

Related on AIssential

• Anthropic reinstates OpenClaw and third-party agent usage on Claude subscriptions — with a catch — Anthropic now offers dedicated, non-rollover Agent SDK credits for programmatic Claude AI usage, ending compute arbitrage.
• The "Betrayal" on the Big Stage, Anthropic vs. OpenAI — AI companies are clashing over business models, with Anthropic prioritizing an ad-free experience and OpenAI integrating ads for broader access.
• Anthropic manager hints that Pro and Max plans are outgrown by today's Claude workloads — AI providers face a compute crunch, leading to service restrictions and plan adjustments for compute-intensive tools.
• 😸 Claude is now the #1 business AI — Anthropic has overtaken OpenAI in enterprise AI adoption, driven by its Claude Code autonomous coding tool.
• 😺 Anthropic shipped Opus 4.7. OpenAI countered. — New AI models from Anthropic and OpenAI offer enhanced capabilities but introduce complexities like increased token usage and account automation risks.
• Claude just became OpenClaw — Anthropic's new Claude features offer OpenClaw-like AI agent capabilities with enhanced safety and user-friendliness.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Matthew Berman.