When consulting firms become the product: what OpenAI's $4 billion bet really tells us about enterprise AI
So OpenAI has decided to become a consulting firm. Well, not quite. On Monday, the company announced a new venture with more than $4 billion in initial investment, called OpenAI Deployment Company, and confirmed it is acquiring Tomoro, an AI consulting outfit, to get the thing off the ground faster. The pitch is straightforward. Engineers who specialise in frontier AI will be embedded directly into client organisations, working with internal teams to figure out where AI can make the biggest difference.
Read that again. Engineers embedded into organisations. That is a services business. And the fact that OpenAI is willing to spend $4 billion to stand one up tells you something quite specific about where we actually are in the AI cycle.
For the past three years, the prevailing story has been that the models would do the work. You buy access, you plug them in, and value falls out the other end.
As someone who has worked over the last three years deploying AI inside a real organisation, with the actual data, people and regulatory exposure involved, knows that story was always a bit thin. The hard part has always been the organisation itself. The processes that nobody has documented. The data that lives in three different systems and contradicts itself. The middle managers who quite reasonably do not want their team's work redesigned by a chatbot. The legal team. The risk team. The customer who notices when something feels off. Training, change management, strategy, adoption, systems, shadow AI... the list goes on.
What OpenAI is admitting, by buying Tomoro and spinning up Deployment Company, is that selling the tool is different from creating the value. Anthropic is taking enterprise share. Boardrooms are asking sharper questions. And the gap between "we have a licence" and "we have actually changed how we work" turns out to be the entire game.
This matters for senior leaders for two reasons.
The first is about where you put your attention. If the maker of the model is investing $4 billion to do implementation work, that is a strong signal that implementation is the hard, important layer. The advantage will sit with organisations that can hold a clear view of what work should still be done by humans and what is genuinely worth handing to a machine or removing entirely. Tools without that clarity of intent just speed up whatever was already there, including the bits that were broken.
The second is about dependency. There is a version of this story where embedding vendor engineers into your business is brilliant. They know the model better than anyone. They move fast. Things ship. There is another version where, two years in, your AI capability sits inside someone else's commercial roadmap and your own people have learned very little. Both versions are real. Which one you get depends on whether your leadership treats this as a buying decision or a capability decision. Access without literacy tends to deepen inequality, inside organisations as much as across them.
All of this is a reason to read what OpenAI is doing properly. The race now turns on who can deploy and govern these systems with sound human judgement. Machines machine better than people ever could. People will have to people better than machines ever will, and that means leaders who can hold the ethical and strategic threads at the same time.
A useful question to sit with this week is this one. If a vendor offered to embed engineers inside your organisation tomorrow, what is the brief you would give them? If the honest answer is "I am not sure", that is the actual work. The $4 billion question is who decides and who benefits. It also matters who is in the room when the answers are written down.
That is the conversation worth having, long before the engineers arrive. I'd argue that I have spent as much time advising people where not to utilise AI as I have telling them where to utilise it; I'd be careful when wondering if these consultants have your organisation's best interests at heart or if they are just expanding their sales service.