Dario Amodei, co-founder and chief executive officer of Anthropic, during an interview at Anthropic’s headquarters in San Francisco, California, US, on Thursday, April 30, 2026.
Jason Henry | Bloomberg | Getty Images
Anthropic unveiled a groundbreaking new interface on Thursday, poised to dramatically simplify how artificial intelligence agents interact and operate with physical machinery. This strategic move signals the AI giant’s ambitious push beyond the digital realm and into the tangible world of hardware.
Dubbed the Model Hardware Standard (MHS), the innovative protocol is engineered for seamless compatibility with any device possessing a programmable interface. This broad applicability extends to sophisticated systems used in cutting-edge scientific research and advanced manufacturing sectors, Anthropic confirmed. The company likens its function to the ubiquitous USB-C standard, which has revolutionized how diverse devices exchange information through a unified protocol.
“We initially developed this for scientific exploration to showcase the profound potential of AI,” stated Elizabeth Kelly, Head of Beneficial Deployments at Anthropic, in an exclusive interview. “However, the implications and benefits for enterprise and industry are equally immense.”
This announcement underscores Anthropic’s escalating commitment to the hardware space, a domain where formidable rivals like OpenAI and Amazon have already invested billions in developing AI-native devices and manufacturing technologies. In a clear indication of its hardware ambitions, Anthropic has been diligently building a dedicated silicon team tasked with designing bespoke chips optimized for its AI models. This strategic expansion recently saw the recruitment of Caitlin Kalinowski, a seasoned hardware executive with prior experience at influential tech companies including OpenAI, Meta, and Apple, according to her professional profiles.
Anthropic asserts that MHS is designed to significantly slash the time and complexity companies face when setting up and integrating new hardware. A key advantage is its model-agnostic nature, meaning businesses are not locked into proprietary Anthropic models and can leverage MHS with a wide array of AI systems.
Initially, MHS will be accessible to a select cohort of organizations within the scientific, robotics, and manufacturing industries as part of a research preview program. Looking ahead, Anthropic intends to make the standard open-source, a move that would empower any device manufacturer, regardless of industry vertical, to adopt and implement it. This echoes Anthropic’s previous success with the open-sourcing of the Model Context Protocol in 2024, a standard that has already streamlined the connection between AI agents and disparate data sources.
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