Everyone Has AI. You Have Your People
Every company in your industry now has the same intelligence as you. For two decades, technology adoption differentiated, because systems were expensive and integration was slow—being early bought you years. Intelligence as a commodity buys you months at best. If your AI strategy is "adopt the tools," you're running the same strategy as everyone you compete with, on the same inputs.
This isn't hypothetical. Three labs—Anthropic, OpenAI, and Google—take 88 cents of every enterprise AI dollar. Whatever model your competitor runs, you can run it too. Seven in ten firms already use AI, and adoption skews to the largest and most productive companies. Your AI is your competitor's AI.
So where does advantage go? To what will never be a subscription. Your people's judgment. The knowledge braided into how they work together, which never made it into anything a model trained on. The decisions someone owns and stands behind when the options are genuinely contested. We call this the irreducible work, and we measure it—the more of it your people hold, the harder you are to copy.
Which makes the current playbook strange to watch. Replace, flatten, cut the junior layers. A recent survey of nearly 6,000 senior executives found that the average executive who uses AI spends about 90 minutes a week with it, while 28 percent don’t use it at all. Nearly nine out of ten report no change in labor productivity at their company over the past three years. Yet these same executives expect AI to increase productivity and reduce employment over the next three years. There is a striking gap between what companies are doing with AI now and the story they are already telling about what it will do to work.
There's a cost here that most companies don’t talk about, let alone measure. Producing things is now basically free but checking things is not. So the checking piles up on whoever's downstream, nobody really owns it, and that's slop—work that looks finished and isn't. The errors are the worst kind, fluent ones. And the fix is judgment is what catches this stuff, and the only place judgment comes from is people who get enough practice to build it.
We work this through with leadership teams in an hour, remote and live. The questions companies bring us:
What's the earliest sign an AI tool is bolted on instead of woven in?
What builds real trust with people who are cautious about AI?
What has to be true of a culture before people expand into new domains?
How do we measure impact when everyone's only counting speed?
We answer these live in the Stay Human Briefing. Your team, your questions.
Click here to see more on the briefing as well as our keynotes and workshops.
