The greatest feat AI can achieve is to become seamlessly integrated into my devices rather than evolving into a standalone product.

      My wife recently had a frightening dream in which AI had taken over human bodies. The actual issue was less sinister: Google Photos was constantly prompting her to “AI” herself when she just wanted to view pictures of our cats.

      Many people currently share this sentiment about AI—curious, fatigued, slightly unsettled, and increasingly frustrated when typical apps behave as if every action requires a software demonstration.

      I understand the frustration. Over the past few years, AI has been striving to establish itself as a product. A better goal might be to learn when to step back.

      The most effective AI devices may not appear to be ones at all.

      This is why the most intriguing examples currently often resemble ordinary devices that have adopted a few new features without necessitating new routines.

      Samsung's Galaxy Buds4 can utilize Galaxy AI functions like Interpreter and Live Translate when paired with compatible Galaxy devices, turning the earbuds into a conduit for the feature, rather than the focus of attention.

      Samsung

      Apple is promoting a similar concept with Live Translation on AirPods, where the feature resides within the earbud-and-iPhone ecosystem instead of being offered as a standalone translation device.

      Samsung’s Vision AI TVs utilize AI to optimize picture and audio settings, thankfully allowing the couch to remain just a couch.

      Google has its own take with the Pixel 10, integrating Gemini into the phone rather than marketing it as a separate gadget.

      Nadeem Sarwar / Digital Trends

      This approach resonates more with those who aren’t interested in beta-testing their appliances. They want their existing devices to function more intelligently.

      Not every AI feature represents progress.

      The downside is that the notion of “AI everywhere” could end up mirroring the previous trend of “smart everywhere,” which has already faltered in kitchens. While some features are genuinely useful, others may simply be old automation dressed up in a fancier guise, and some may exist merely to fulfill a marketing requirement on a product box.

      If AI enables a device to perform its intended tasks more efficiently, there’s a real utility behind the branding. If it results in the addition of new panels, prompts, subscriptions, or settings to manage, then it’s not genuine advancement; it’s merely another task to deal with, albeit with more appealing marketing.

      Chesky / Shutterstock

      Mundane AI might be the most beneficial type.

      Consumer AI becomes more rational when it stops presenting itself as another device to charge, update, and ultimately stash away. Instead, it integrates as a layer within products people already know. This version is easier to grasp as it effectively manages small, mundane responsibilities.

      AI might follow the trajectory of older features that once seemed advanced, like autofocus, noise cancellation, or image stabilization. Initially, these features are marketed as groundbreaking, then they become standard, and eventually, people no longer question their functionality.

      This doesn’t eliminate privacy concerns, nor does it justify every impractical appliance boasting an AI label.

      However, it indicates that AI's most promising consumer future may be quieter than the industry anticipates. I don’t require another product vying for my attention. I need the devices I already own to stop complicating simple tasks and making them feel like a tech support issue.