Microsoft Cancels Most Claude Code Licenses
Microsoft has begun to cancel most internal licenses for Anthropic Claude Code, requiring thousands of developers in the Experiences + Devices team to switch to its own GitHub Copilot CLI tool.
This move aims to unify the internal AI coding toolchain. Claude Code was previously popular among Microsoft's engineering teams but is now required to complete the transition by June 30.
Market-wise, large tech companies are accelerating the shift of internal AI tools from third-party solutions to their own ecosystems, with budgets and developer attention shifting from Anthropic Claude Code to Microsoft GitHub Copilot. This event drives capital concentration towards Microsoft AI productivity, putting short-term pressure on Anthropic's enterprise licensing business.
Source: Public Information
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Microsoft had previously tested and promoted Claude Code internally, making it popular among engineering teams. This large-scale cancellation of licenses continues its trend of consolidating from external tools to the Copilot ecosystem, similar to its earlier deep integration of OpenAI models into Copilot, gradually replacing third-party plugins.
In terms of capital flow, Microsoft is reallocating resources from external Anthropic licensing expenditures to its own Copilot CLI development and iteration through GitHub. The motivation is to control the developer workflow data loop while avoiding third-party tools that could dilute internal adoption rates and long-term subscription revenue.
Similar cases include Google transitioning from external AI tools to Gemini and Salesforce moving from early integration of external models to Einstein. Currently, large tech companies are in a transformation phase from mixed-use of multiple models to controlling their own AI agents.
Essentially, this represents capital concentration: third-party AI coding tools are being replaced by proprietary closed-loop products. The underlying mechanism is that Microsoft, as the owner of GitHub and Copilot, holds absolute pricing power and data advantages over internal developer toolchains. Only by fully internalizing expenditures and adoption can it maximize the leverage effect of AI on productivity and create ecological barriers, achieving a structural shift from tool consumer to infrastructure provider.
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The popularity of third-party tools internally signals that proprietary products are about to gain control. Large companies are never loyal to the best tools but to ecosystems that can lock in workflows. When budgets shift from external licenses to proprietary CLI, the pricing power transitions from cooperation to control.