A shift is underway in how large organizations use artificial intelligence. According to The Next Platform, AI is moving beyond simple chatbots toward autonomous "coworkers" — software agents meant to carry out tasks on their own rather than just answer questions.
The more interesting part of the story is what's actually holding companies back. The Next Platform reports that most enterprises are now constrained less by the AI models themselves than by the complexity of putting those models to work at scale. In other words, the raw capability is increasingly available; the hard problem is the surrounding infrastructure needed to run agents reliably across a business.
That is why the conversation is turning to what the source describes as the move "from pilots to AI factories," along with the emergence of agent gateways — the connective plumbing that lets many AI agents operate in a coordinated, production-grade way instead of as isolated experiments.
The framing matters because it marks a change in the AI narrative. For the past few years, progress has been measured largely by how smart the underlying models are. This account suggests the next phase of enterprise AI will be won or lost on operational groundwork: how organizations deploy, connect, and manage fleets of autonomous agents rather than simply which model they pick.
Why it matters: if the bottleneck for business AI is shifting from model quality to real-world infrastructure, the companies that pull ahead will be the ones that master the unglamorous work of scaling agents into everyday production.