Agentic AI on your laptop is one thing — worst case it trashes your machine. But enterprises want it in the cloud, at scale, pointed at everything. The problem isn't the power. It's the containment. And this thing is smart enough to read the blueprints of its own cage.
Somewhere between 'ask Claude for a quick opinion' and 'Claude is writing our Jira tickets,' we lost the plot. AI agents are brilliant implementers. They're also confidently wrong about every decision that matters. And when it all falls over, they won't be the ones carrying the bag.
AI agents will get you to dev-done at record speed — right up until you realise you're miles past the actual problem. 80% of projects still spend 80% of their time at 80% complete. Agents don't fix that. They just help you reach it sooner.
Your exec promised a customer that AI would 'just know' the answer to any question across every database in the org. It won't. AI is a model of reality — and there's always a gap. The question is whether you know what it is.
Too many architecture reviews are just debates about which vendor's service logo to put on the diagram. The real value of an architect is knowing when the menu is the wrong starting point.
Google says Vertex AI is the managed future of ML on GCP. They're probably right. But the migration from self-hosted KubeFlow is 6-12 months of real work, not the 2-sprint effort that the consultants estimated.