Every company I speak to has an AI strategy. Almost none of them have an AI education programme.
They have the tokens. The models. The licences. The vendor partnerships. The transformation roadmap with the right logos on the right slides. Token capital is not the problem. Most organisations have already committed the compute budget. Some of them have committed it twice.
What they do not have is people who understand what they just bought.
Fluent and good are not the same
Not "trained on the tool". I mean people who understand what a model can and cannot do. People who know why the same prompt gets a different answer on a different day. People who can look at an AI output and know whether it is good, or whether it is just fluent. Because fluent and good are not the same thing, and the gap between them is where most of the risk lives.
Without that literacy, every organisation using the same models with the same default prompts will converge on the same average output. A consensus of mediocrity. Not because the technology is mediocre, but because nobody taught the people using it how to make it exceptional.
The value is not in the output. It is in the feedback loop. The lesson you capture when a prompt fails, the pattern you notice when one approach consistently outperforms another. The institutional knowledge about where AI adds genuine value and where it just adds volume. If you are only capturing the output, you are collecting the receipts and throwing away the strategy.
The logical choice and the right one
AI strategy is the logical choice. It is visible, measurable, presentable to the board. AI education is the illogical one. Slow. Hard to quantify. Does not photograph well at the all-hands. But it is the one that actually changes how people work. "You can't be fired for having an AI strategy" has the same energy as every other decision that optimises for looking right over being right.
I have spent the last two years building a thesis I call the Human Operating Model. Software will define the service. AI will run it. Human beings will be the reason customers choose yours.
But that only holds if the humans in the model actually understand the AI in the model.
The only capital that does not deprecate
The next wave of models and platforms are coming in fast. The vendor you backed last quarter has probably pivoted already. Human capital is the only part of the stack that does not deprecate.
Let's be clear, the organisations that get this right will not be the ones that spent the most on tokens. They will be the ones that educated their people well enough to use them.
Token capital plus human capital is not a framework. It is the difference between market-leading and mediocrity.