Artificial intelligence is taking another step beyond the screen.
Anthropic has unveiled a new framework designed to allow AI agents to communicate with and operate physical devices, potentially opening the door to more autonomous laboratories, manufacturing facilities and scientific research environments.
The new system, called the Model Hardware Standard, is currently being introduced as a research preview. It is designed to allow AI agents to interact with programmable physical equipment, including microscopes, robotic arms, laboratory instruments and other scientific or industrial devices.
For years, the most visible use of artificial intelligence has been digital.
AI systems write text, analyse information, generate images and assist with programming. Even the latest generation of AI agents has largely operated inside computers, browsers and software platforms.
Anthropic’s new framework points towards something different.
The goal is to give AI systems a standard way of communicating with machines in the physical world.
That could mean an AI agent analysing experimental results, deciding what should happen next and then instructing laboratory equipment to carry out the next stage of an experiment.
In manufacturing, AI agents could potentially communicate with robotic equipment and automated systems.
In scientific research, they could help run experiments around the clock while human researchers focus on higher-level questions and decisions.
Anthropic says the standard can work with programmable devices that have an appropriate interface and can allow AI agents and equipment to communicate across networks. The company is initially sharing the technology with partners as part of safety testing before planning a wider release.
The potential significance of this development lies in the amount of time scientific and engineering work can require.
Researchers often spend long periods repeating experiments, collecting measurements and adjusting equipment.
Automation has already transformed some of these processes, but traditional automation generally follows instructions written in advance.
AI agents could make those workflows more flexible.
Instead of following a rigid sequence, an AI system could analyse the results of one stage and determine what experiment should happen next.
That does not mean scientists are about to become unnecessary.
Physical experiments involve safety concerns, unexpected results and complex judgement that cannot simply be handed over to software.
But AI could increasingly become a tool that handles routine experimental work at a much larger scale.
The concept could be particularly important for areas such as drug discovery.
Finding new medicines often requires researchers to test enormous numbers of possible compounds.
An AI system capable of analysing data and controlling laboratory equipment could potentially speed up parts of that process.
Advanced manufacturing could also benefit.
Factories are already becoming increasingly automated, but integrating AI agents could make production systems more adaptable.
Machines may eventually be able to respond to changing conditions and production requirements with less direct human intervention.
However, giving AI control over physical equipment also creates new questions.
A mistake in a chatbot conversation is one thing.
A mistake involving a robotic arm, chemical laboratory or industrial machine could have real-world consequences.
That is why Anthropic is placing significant emphasis on safety testing before making the standard more widely available.
The development nevertheless represents an important direction for artificial intelligence.
The next major stage of AI innovation may not simply involve building smarter chatbots.
It may involve connecting intelligent software to the machines that already operate much of the physical world.
If that happens, AI agents could eventually become part of laboratories, factories and research facilities in the same way software assistants have become part of offices.
The technology is still at an early stage.
But the idea behind it is clear.
Artificial intelligence is beginning to move from helping people understand the world to helping them actively change it.
