I was recently at an off-the-record matcha tasting in Hayes Valley with some people who are building the actual future, and the conversation turned to the legacy consulting stack. McKinsey & Company, according to the Wall Street Journal, is now requiring entry-level job applicants to spend ten minutes sparring with an AI simulation of a corporate client. The generative model allegedly aims to reflect eighty percent of the scenarios a consultant might encounter in their day-to-day work. Naturally, my network got me early beta access to the prompt environment. I logged in expecting a cute gimmick. Instead, I experienced a civilizational turning point.
The simulation is a triumph of engineering. Within three minutes of our interaction, the synthetic client aggressively talked over me, asked me to make the cloud bigger on a slide that did not contain a cloud, and stubbornly refused to authorize a digital transformation budget that it had personally requested just moments prior. It was the most realistic enterprise engagement I have had in a decade. The bot even managed to seamlessly hallucinate an entirely new set of third-quarter objectives midway through a sentence about supply chain logistics.
If you break the consulting industry down from first principles, human clients are simply a deprecated bottleneck. They take weeks to become confused by a basic product roadmap. They require flights, steak dinners, and sustained eye contact. This large language model, however, achieved total strategic disorientation in milliseconds, completely at scale. It represents a fundamental breaking change in how we monetize corporate anxiety.
To understand the underlying architecture, I reached out to one of the deployment leads who oversaw the model's training data.
The model is fine-tuned on decades of actual McKinsey engagements, meaning it has a 99.8 percent probability of blaming a 22-year-old analyst for its own fundamental misunderstanding of the compute stack.
Trent understands what the mainstream tech press is constantly missing. The smartest people I know are already realizing that the true application of this technology isn't replacing the workers—it is replacing the buyers. Why subject a brilliant Stanford graduate to a real regional vice president of logistics who doesn't know how to unmute his Zoom, when you can have them present a four million dollar restructuring plan to a clean, scalable API? You get all the billable hours, zero pushback on the final invoice, and you never have to fly to Ohio.
This shift is inevitable. The ultimate enterprise moat of the 2030s won't be building better software for human executives; it will be generating synthetic clients who possess infinite budgets and no physical presence to complain when the deliverables are inevitably late. I, for one, am already drafting a pitch deck for a completely hallucinated Fortune 500 company. They are going to absolutely love the new synergy metrics, just as soon as their servers boot up.