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Are robots the real security risk with AI?

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Mon 14 Sep 2026
Published 52 minutes ago.
Updated 25 minutes ago.
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Are robots the real security risk with AI?

AI kill switches depend on one big assumption: humans can still reach the switch. We can isolate networks, shut down data centers, and ultimately disconnect power. But what happens when AI becomes physical? Imagine a powerful AI copying a program into an army of autonomous robots with instructions to protect its power source, reconnect a cable, start a generator, or otherwise keep the system running.

The transition from digital risk to physical kinetic risk is real. An autonomous robot can move through the world, manipulate objects, damage things, and potentially maintain itself without continuous instructions from a network. At that point, AI gains something all animals have: independent physical agency. And unlike changing data, physical actions can have immediate and irreversible consequences.

Robots might just be the biggest AI risk. Sure, it’s the software with the enormous advantage, but it’s the exercise of that power through physical robots that is the biggest risk. While digital AI can operate across huge numbers of computers, automate cyberattacks, probe networks, manipulate information, or interfere with critical infrastructure, it can be turned off. It’s physical robots that can move through space cannot.

So the deeper security problem is one single out-of-control AI agent with physical agency abilities. It is that software controlling an army of robots from autonomous vehicles to autonomous humanoid robots. This is where cyber risk and physical risk converge. The future challenge includes preventing powerful software from gaining physical agency in the material world.

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Michael Alan Prestwood
Author & Natural Philosopher
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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