Tony Fadell, the former Apple executive known for creating the iPod and helping develop the iPhone, said that the first wave of dedicated AI gadgets failed since they didn't solve clear problems for consumers. Speaking at MIT Future Fest, Fadell pointed to devices including the Rabbit R1, Humane AI Pin and Limitless pendant, saying they focused too heavily on interesting technology without establishing why people needed them.
Fadell's comments come as technology companies continue to explore AI hardware as a possible successor to smartphones and other connected devices. The early products generated considerable attention but struggled to turn that interest into sustained consumer adoption, raising questions about what the next generation of AI hardware needs to offer.
According to Fadell, simply adding an AI assistant to a standalone device is not enough. He argued that companies first need to understand the specific problem they are trying to solve and build the product around that need.
That lesson, he suggested, matters most for startups, which have less room for failure than established technology companies. A device can demonstrate impressive capabilities, but consumers are unlikely to keep using it if those features do not make everyday tasks easier or better.
“You have to really understand what you’re trying to do, what pain you’re trying to solve,” he said. “In each of these cases, each one of them didn’t meet any kind of need; it was just interesting technology for geeks, and you’re like, ‘Okay, that’s neat, but it doesn’t really apply to my life.’”
Fadell also highlighted trust and security as major challenges for AI assistants. A genuinely useful digital assistant would eventually need access to sensitive information and could be asked to perform tasks such as arranging meetings or handling financial activities.
However, consumers are unlikely to hand over that level of access immediately. Fadell compared the process to building trust in a human assistant, arguing that it takes time before someone feels comfortable giving an assistant responsibility for sensitive information.
“It took me a couple of years first to understand how best to utilize [an assistant], and then to trust them with the most sensitive data, and have them be an agent where they’re setting up meetings with people and working with my bank,” he said. “I understand we have this vision of the future, but there’s a lot of steps to get the general consumer and even the general business on this path,” Fadell added.
Fadell believes future AI assistants may need to operate primarily on the device itself rather than constantly sending sensitive information to cloud servers. Keeping more data on-device could improve privacy while also reducing dependence on remote computing infrastructure.
He sees Apple as particularly well positioned given its control over hardware, chips and devices, although he noted that the company still faces a gap in AI capabilities. Fadell's broader point is that successful AI hardware will need to combine useful software, reliable hardware, and strong privacy protections.
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For Fadell, the failure of early AI gadgets does not mean the idea of AI hardware is finished. Instead, he believes the industry needs to move beyond novelty and focus on products that people genuinely want to use.
The next successful AI device may therefore look less like a technology showcase and more like a practical tool that quietly handles useful tasks. For startups entering the market, finding that balance between capability, usefulness, and trust could determine whether their products become lasting consumer devices or another short-lived hardware experiment.