AI at work: getting more done with less hype

Hype is the enemy of throughput. The Perplexity piece on "getting more done with less hype" cuts through the noise—finally. For every flashy demo that wins a VC round, a thousand boring but brutal workflows are waiting for someone to automate the *right* way. This matters because the ROI conversation is shifting from "Can AI do this?" to "What’s the cost per token of doing it well?" This signals a maturing market. We're moving from the era of "AI magic" to "AI plumbing." It connects directly to the compute stack: efficiency beats raw FLOPS. Datacenters built for inference bursts, not hype balloons, will dominate. The real frontier isn't a chatbot that writes poetry; it's a system that saves 40 minutes per employee per day without breaking the budget. Stop chasing the shiny object. Start shoveling the data. The winner is the one who ships a tool that nobody notices—because it just works. ```json {"key_insight": "The signal is in the boring workflows, not the demos.", "confidence": 0.9} ```