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Digital twin

A computer model that mirrors a physical object or system, used for testing and prediction.

In plain terms

A digital twin is like a virtual copy of something real, such as a machine, a building, or even a process. This copy exists entirely in a computer.

By using the digital twin, people can test changes or predict what might happen without affecting the actual physical thing. For example, engineers could use a digital twin of a jet engine to see how different operating conditions might affect its performance or lifespan.

The expert version

A digital twin is a dynamic virtual representation of a physical asset, process, or system. It is created using real-time data from sensors and other sources connected to its physical counterpart. This allows for continuous monitoring, simulation, analysis, and optimization.

Digital twins enable predictive maintenance, performance optimization, and scenario planning. The fidelity of the twin depends on the quality and frequency of data integration and the sophistication of the underlying models, which can range from simple statistical models to complex physics-based simulations or AI-driven predictive systems.

Why it matters now

Frontier AI labs are increasingly connecting their models to the physical world. This allows for the creation and use of digital twins, which are virtual copies of real-world systems. These twins enable AI to simulate, analyze, and interact with physical processes before or during real-world application.

Where it shows up 2 items, newest first
How each company uses it
Anthropic Claude
Anthropic's Claude AI is being integrated into physical AI systems, suggesting a role in managing or interacting with digital twins for chip design and manufacturing.
Microsoft Copilot
Microsoft Copilot's focus on factory automation implies its use in conjunction with digital twins to make machines smarter and more adaptable to real-world changes.
Related terms

SimulationAI agentsPredictive maintenanceIoTMachine learningSystem modeling

Often confused with
Simulation
While simulations often use digital twins, a simulation is the act o
Virtual reality
VR creates immersive visual experiences, while a digital twin i
Origin

The term 'digital twin' was popularized by Dr. Michael Grieves at the University of Michigan in 2002 as a concept for product lifecycle management. Source ↗

Try this about 5 minutes

Explore a publicly available digital twin demonstration, such as a smart city simulation or a virtual factory floor. Observe how changes in one part of the digital twin affect other components and the overall system behavior.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

What is the difference between a digital twin and a 3D model?
A 3D model is a static visual representation. A digital twin is a dynamic, data-driven model that reflects the real-time state and behavior of its physical counterpart.
How are digital twins used in AI?
AI uses digital twins to train models, test hypotheses, and optimize complex systems in a safe, virtual environment before applying them to the real world.

First seen on Subvolts Jul 10, 2026. Updated Oct 13, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.