"OpenAI's decision to train its models on the everyday outputs of consultants and bankers is more than just a technical experiment, it's a signal that AI is being repositioned from a generic tool to a domain-capable resource, Sanchit Vir Gogia, the chief analyst, founder and CEO of Greyhound Research said Thursday. He was responding to reports of a project from OpenAI that is being developed for the management consulting sector. According to Bloomberg, upwards of 150 former consultants from McKinsey & Co., Bain & Co., and Boston Consulting have been contracted by a third-party to train the models on "how to do the industry's entry-level tasks," in a project code-named Argentum."
"Last week, it also reported that OpenAI has more than 100 ex-investment bankers from organizations such as JP Morgan Chase, Morgan Stanley, and Goldman Sachs "helping train its artificial intelligence on how to build financial models as it looks to replace the hours of grunt work performed by junior bankers across the industry," in a project code-named Mercury."
"Enterprises, said Gogia, "are no longer content with wide but shallow capability. They want depth. Real outputs. Structured thinking. Work that they can plug into core processes. Our CIO Pulse 2025 shows this shift in action, with 68% of global decision-makers seeing AI as a co-worker rather than a cost-cutter." "What OpenAI is doing is meeting that expectation head-on by learning from those who've done the work at scale," he pointed out. "The aim isn't to mimic language, but to internalize practice. And for enterprise buyers, that matters. What's being offered now is not an AI that chats, but one that contributes.""
OpenAI is training models on the everyday outputs of consultants and bankers to reposition AI from a generic tool into a domain-capable resource. Two pilot projects target entry-level consulting tasks and financial-model building, contracting many former consultants and ex-investment bankers to teach practical workflows. The objective is to replace hours of junior grunt work by internalizing professional practice rather than merely mimicking language. Enterprises increasingly demand depth, real outputs, structured thinking, and work that plugs directly into core processes. 68% of global decision-makers view AI as a co-worker rather than a cost-cutter, prioritizing contributory AI over conversational models.
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