Anthropic is exploring the design of its own AI chips amid a shortage of necessary components for advanced AI development, according to Reuters. The company’s plans are in early stages, and it may still opt to continue purchasing chips rather than developing them in-house.
Anthropic has not yet committed to a specific chip design or assembled a dedicated team for this initiative, according to sources. Demand for its AI model Claude has surged in 2026, with run-rate revenue exceeding $30 billion, a significant increase from approximately $9 billion at the end of 2025.
The company employs a variety of chips, including tensor processing units (TPUs) from Google and chips from Amazon, to support its AI software and chatbot Claude. Recently, Anthropic entered a long-term agreement with Google and Broadcom to address its chip requirements and infrastructure needs.
This agreement aligns with Anthropic’s broader strategy to invest $50 billion in enhancing U.S. computing infrastructure. Similar initiatives are underway at major tech companies like Meta and OpenAI, reflecting a trend toward developing proprietary AI chips.
Industry sources estimate that designing an advanced AI chip can cost around half a billion dollars, necessitating skilled engineers and thorough manufacturing processes to mitigate defects.
