Multimodal AI is the emperor’s new clothes of tech right now, and it’s about time we called it out. Yes, combining vision, language, and audio is technically impressive — watching an AI seamlessly describe a scene or generate a soundtrack for a video feels like sci-fi. But let’s be real: how often do you actually need an AI to do all that at once in your daily life? Most of us just want tools that do one thing well, not a Swiss Army knife that does everything mediocrely.

I’ve seen these demos — the ones where an AI identifies a dog, describes its breed, and then composes a haiku about it. It’s flashy, sure, but it’s also a solution in search of a problem. In the real world, I need my photo app to recognize faces, my voice assistant to understand my commands, and my translation app to be accurate. I don’t need them to all happen in a single, clunky interface that sacrifices speed and reliability for the sake of being “multimodal.”

The truth is, multimodal AI is a playground for researchers and a marketing gimmick for companies, not a game-changer for consumers. Until it can do something genuinely useful that I can’t already do with separate apps, it’s just a party trick.

Multimodal AI is the tech world’s version of a fireworks show: impressive, but ultimately more flash than substance.