Andrew Feldman, CEO and co-founder of Cerebras Systems, said at TechCrunch Disrupt 2026 that the arrival of AI appliances for households is not far off. Answering a question about what it would take for AI to become a home appliance, Feldman said, “Actually, I don’t think that’s very far away.”
Examples and signals of consumer adoption
Feldman pointed to progress in consumer AI agents as evidence that AI is gaining traction with everyday users. He mentioned Meta’s Muse and the startup Instinct — the latter described in the article as having a $10 billion valuation — as examples of technologies helping AI find a footing among consumers.
How local personal assistants would work
Regarding home AI specifically, Feldman predicted personal assistants that run locally on users’ devices. “Just like your cell phone, they’ll do some work on device and some work going back to the cloud,” he explained. He added that these agents will come to know users well and be protected by a “security perimeter.” Feldman also said they would have access to credit cards and be capable of making purchases on behalf of users.
He argued these assistants will have a “meaningful impact” in improving people’s lives by taking over tasks and enabling new capabilities that were previously impossible.
Feldman’s own use and his infrastructure focus
Feldman, whose company builds AI chips, said he is also a user of multiple agents himself — using “a collection of agents” to clean up his calendar, surface information about people he is meeting, and handle other routine tasks. While he sees AI already automating many manual tasks, he is most enthusiastic about the novel possibilities the technology unlocks.
At the same time, Feldman emphasized that he prefers building infrastructure rather than consumer-facing products. “One of the reasons I love being in infrastructure is because I don’t need the consumer-facing idea … I like building the platforms that other people’s ideas take flight on,” he said, indicating Cerebras’s role is to provide the technological foundations for other companies’ consumer solutions.
Why this matters
Feldman’s comments highlight the interplay between advances in chip and infrastructure technology and the spread of consumer AI agents. If personal assistants increasingly run locally, that shift would affect privacy, latency, security, and payment integration — areas of concern and opportunity for both users and developers.
