Two years ago, the pitch was simple: AI would make management consultants obsolete. Why pay McKinsey $500 an hour for strategic analysis when ChatGPT could do it in minutes? Fast forward to March 2026, and OpenAI is signing partnership deals with McKinsey, BCG, Accenture, and Capgemini to help sell and deploy its enterprise AI platform.
The irony is thick, but the logic is sound.
The Gap Between Demo and Deployment
Building an AI model and getting a Fortune 500 company to actually use it are two completely different problems. OpenAI's Frontier platform - a system for building, deploying, and managing AI agents across an organization's existing software - launched with early adopters like Intuit, State Farm, Thermo Fisher, and Uber. But scaling beyond those lighthouse accounts requires the kind of enterprise relationship-building and workflow redesign that AI companies have never been good at.
That is exactly what consulting firms sell. McKinsey and BCG are handling strategy work, helping executive teams figure out where AI agents fit into their operations. Accenture and Capgemini are doing the plumbing - connecting Frontier to CRM systems, HR platforms, internal tools, and cloud infrastructure. Each firm is building dedicated practice groups and certifying teams on OpenAI's technology. OpenAI, in turn, is embedding its own engineers alongside consultancy teams.
The arrangement, branded "Frontier Alliances," is a tacit admission that technology alone does not close enterprise deals. Someone has to sit in rooms with CFOs, map out ROI projections, manage change resistance, and handle the unglamorous work of integrating new tools with legacy systems.
Consultants Adapted Faster Than Expected
The consulting industry was supposed to be among AI's first casualties. Junior analyst work - the kind that generates billable hours at firms like McKinsey - is precisely the type of research and synthesis that large language models handle well. A Wall Street Journal report details the "dramatic reshuffling" happening inside McKinsey as the firm restructures around AI.
But the big firms did not sit still. Instead of fighting the technology, they absorbed it. The AI consulting market is projected to grow from $11 billion in 2026 to $91 billion by 2035, a 26% annual growth rate. Advisory-only firms are losing ground to those that can handle end-to-end delivery, moving from giving recommendations to actually building, maintaining, and improving AI systems as managed services.
The firms that are struggling are the ones still selling PowerPoint decks. The ones thriving have turned themselves into AI implementation shops that happen to also do strategy.
What This Means for Smaller Companies
If you run a 50-person company, none of this directly applies to you. You are not hiring McKinsey to deploy ChatGPT. But the pattern matters: even the most sophisticated AI tools require significant setup, customization, and organizational change to deliver real value. The technology is not plug-and-play at any scale.
For the AI tool market broadly, this signals a maturing industry. The "just add AI" phase is ending. The companies winning enterprise contracts are the ones investing in deployment support, whether through consulting partnerships, professional services teams, or better onboarding. The product alone is no longer enough.