I Tested All 4 of Microsoft's New AI Models. Here's the Brutal Truth

Ah, Build 2026 — Microsoft's annual pilgrimage to convince us that its AI is not just a pale imitation of everyone else's. This year's offering: four MAI models with names so thrilling they'd put a spreadsheet to sleep. MAI-Thinking-1 — because who needs a creative name when you have a version number? — and MAI-Image-2.5, which sounds like a firmware update for a printer. PCMag's brave reviewer put them through their paces and emerged with the most damning indictment possible: "fine, but nothing more." One imagines Satya Nadella's face cycling through the entire Microsoft emoji library in search of a reaction.

The reviewer, wading through what must have been an ocean of mediocrity, found that the reasoning model thinks just well enough to produce answers that pass the bar of "I suppose that's acceptable." The image model generates pictures that are, in the reviewer's words, "fine" — a word that in Microsoft's internal vocabulary probably translates to "game-changing" and "revolutionary." This is the company that has spent tens of billions on AI infrastructure, hired thousands of researchers, and the best they can produce is something your average startup could cobble together with an open-source model and a weekend of fine-tuning. The other two models remain unnamed, likely because they're as forgettable as last year's Build keynote.

The real tragedy isn't that Microsoft's models are mediocre — it's that "fine" is practically a win in today's AI landscape. We've become so accustomed to incremental improvements that we celebrate mediocrity with a collective shrug. Microsoft will sell this to enterprises, who will dutifully integrate MAI-Whatever into their workflows, and the world will keep spinning, just a little more boring than before. Perhaps that's the real AI risk: not an intelligence explosion, but a boredom explosion.