Gemini task automation is slow, clunky, and super impressive

On March 21st, The Verge published hands-on impressions of Gemini's task automation features, and the headline did something that most tech writing avoids: it held two contradictory feelings at once without resolving them. Slow. Clunky. Super impressive. Not slow but impressive, not impressive despite being slow — all three, together, equally true. The review describes Google's AI grinding through multi-step tasks with the kind of deliberate, methodical pace that makes you glance at your watch and then feel faintly ashamed for doing so, because what you're watching is a machine reasoning through real-world actions in sequence, making decisions, correcting course, actually doing things rather than merely describing how things might be done. The frustration and the wonder arrive in the same moment. That's a specific feeling, and it's worth paying attention to, because it's the feeling people reported the first time they saw a self-driving car inch through a parking lot — not awe exactly, more like the uncanny recognition that something genuinely new is operating in front of you, even if it hasn't earned your full trust yet.

If confirmed, here is what this means. Google has something real in Gemini task automation — not polished, not fast, but structurally capable in ways that matter. The gap between "impressive demo" and "daily driver" remains wide, but the interesting question is whether that gap closes through iteration or whether the architecture itself is the ceiling. For competitors, the slow-but-real framing is both a warning and a window: a warning that Google is further along than its public image on AI execution might suggest, and a window because clunky systems that work are still clunky systems, and there is space for someone to arrive with the same capability wrapped in a better experience. For users, the implication is that task automation in AI assistants is no longer theoretical — it is just not yet worth the friction for most people. That changes the conversation from "can it do this" to "when will doing this stop feeling like work."

Watch for independent corroboration from other publications running their own hands-on tests, and pay particular attention to whether speed improvements appear in any near-term Gemini updates — that would signal Google knows exactly where the friction is and is already moving to sand it down.

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