Anthropic manager hints that Pro and Max plans are outgrown by today's Claude workloads

2026-04-22 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

Anthropic briefly removed its Claude Code tool from the $20 Pro subscription for a small percentage of new customers, then reversed the decision after public criticism. Amol Avasare, Anthropic's Head of Growth, stated that the company's existing subscription plans, including the Max plan, were not designed for the compute-intensive usage patterns of tools like Claude Code. This incident highlights a broader industry-wide shortage of compute capacity, affecting other providers such as OpenAI and GitHub, which are also restricting services or pausing new signups. Anthropic's API uptime was 98.95% in the 90 days leading up to April 8, below the 99.99% industry standard, leading some enterprise customers to switch to competitors like OpenAI.

Key takeaway

For CTOs and VPs of Engineering evaluating AI service providers, Anthropic's recent plan adjustments signal that current subscription models may not sustain compute-intensive workloads like coding tools. You should scrutinize service level agreements and actual API uptime, as providers are rationing capacity. Consider diversifying your AI model dependencies to mitigate risks associated with compute shortages and potential service disruptions from a single vendor.

Key insights

AI providers face a compute crunch, leading to service restrictions and plan adjustments for compute-intensive tools.

Principles

• Compute demand outstrips supply.
• Subscription models must adapt to usage.
• API uptime is critical for enterprise adoption.

In practice

• Monitor API uptime for critical services.
• Evaluate AI plan tiers against actual usage.
• Diversify AI provider dependencies.

Topics

• Anthropic Claude
• Claude Code
• AI Compute Crunch
• Subscription Plans
• API Uptime

Best for: CTO, VP of Engineering/Data, Entrepreneur, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.