OpenAI and Anthropic Just Made the Same Bet (and It Was On Training)

In the last two weeks, two of the biggest AI companies in the market made a very specific move. Anthropic announced a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs to help mid-sized companies bring Claude into core operations, with Anthropic’s applied AI engineers working alongside customer teams. A week later, OpenAI launched the OpenAI Deployment Company, a new business backed by more than $4 billion to help organizations build and deploy AI systems across critical operations.

That is not a side story. It is the story.

If the companies building the models are now investing in deployment, they are telling the market something important: buying the tool is not the hard part. Making it usable in the flow of work is.

Microsoft’s 2026 Work Trend Index backs that up. Only 19% of workers are in the “Frontier Zone,” where personal capability and organizational readiness line up enough for AI value to really compound. That is a small number, and it explains why so many rollouts start with excitement and end with a shrug.

OpenAI and Anthropic aren't just getting into consulting. They're validating the size of the enablement gap. If companies with the strongest models in the world are now investing in deployment teams and applied engineers, they are telling the market that access to AI is not the finish line.

That is where training comes in. Not as a nice-to-have. As the bridge.

For most organizations, enthusiasm doesn't create adoption, clarity does. When employees can see how AI helps them handle a stubborn task, move faster through repetitive work, or produce better output in the flow of their real job, the tool stops feeling abstract and starts feeling useful.

This is where leaders should pay attention. If OpenAI and Anthropic think companies need hands-on help after the sale, then a generic launch email and a one-size-fits-all “Prompting 101” session were never enough.

That is how organizations drift into the familiar pattern. A few people become Hidden Gems. A bigger group uses the tool just enough to keep usage numbers alive. Everyone else quietly goes back to the old way. The result is not no adoption. It is partial adoption that never becomes real value.

The next AI advantage will belong to the companies that train best, not just the companies that buy first. OpenAI and Anthropic are not signaling that AI needs more hype. They are signaling that AI needs more human translation inside the business.

Training is not the soft side of AI strategy. It is the part that determines whether the strategy survives contact with real work.

On June 11, I’m hosting a free webinar for leaders who already have enterprise AI tools like Copilot, Gemini, or ChatGPT in place but need a better way to get real adoption. I’ll share the step-by-step framework I use with clients to help teams turn AI access into everyday value. You can register here.