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    Home » Sections » AI and machine learning » Anthropic mulls building its own AI chips

    Anthropic mulls building its own AI chips

    Claude maker Anthropic is exploring custom chip design as AI demand outstrips the supply of available hardware.
    By Agency Staff10 April 2026
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    Anthropic mulls building its own AI chips

    Anthropic is exploring the possibility of designing its own chips, three sources said, as the company and its rivals respond to a shortage of AI chips needed to power and develop more advanced AI systems.

    The plans are in early stages and the company may still decide to only buy AI chips and not design any, according to two people with knowledge of the matter and one person briefed on Anthropic’s plans. The company has yet to commit to a specific design or put together a dedicated team to work on the project, one of the sources said.

    A spokesman for the San Francisco-based company declined to comment.

    Anthropic uses a range of chips, including TPUs designed Google and Amazon’s chips

    Demand for its AI model Claude has accelerated in 2026, with ​the start-up’s run-rate revenue now surpassing US$30-billion, ​up ⁠from about $9-billion at the end of 2025, Anthropic said earlier this week.

    Anthropic uses a range of chips, including tensor processing units (TPUs) designed Google and Amazon’s chips to develop and run its AI software and chatbot Claude.

    Earlier this week, Anthropic signed a long-term deal with Google and Broadcom, which helps design the TPUs. That deal builds on the company’s commitment to invest $50-billion in strengthening US computing infrastructure.

    Costs

    Anthropic’s discussions mirror similar efforts under way at large tech companies that are seeking to design their own AI chips, including Meta and OpenAI.

    Read: Anthropic’s Mythos is the cyberthreat every CISO feared

    Designing an advanced AI chip can cost roughly half a billion dollars, according to industry sources, as companies need to employ skilled engineers and spend to make sure the manufacturing process has no defects.  — Max A Cherney and Deepa Seetharaman, (c) 2026 Reuters

    Get breaking news from TechCentral on WhatsApp. Sign up here.

    Add TechCentral as a preferred source on GoogleFollow TechCentral on Google NewsGet breaking news on WhatsApp


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