This Week, We’re Launching Hyperadaptive. Right on Time.
Both a book and a movement, Hyperadaptive addresses the question on every leader's mind.
Graeme Scott wrote a sentence about my book this week that has stuck with me. “Every now and then,” he said, “a book lands at exactly the right moment for the question every enterprise leader is now asking.” It was generous, as was the rest of his review, but I want to I want to write about the moment we’re in, including the question on every executive’s mind, because that’s what deserves the attention.
What happened on Last Week
Reinforcing Graeme’s sentiment are two announcements that were made last week. Two of the most important AI companies in the world made the same announcement on the same day. Anthropic launched a $1.5 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs to embed Claude engineers directly inside mid-size businesses. OpenAI launched its own $4 billion deployment venture with TPG, Brookfield, Advent, and Bain Capital. Five and a half billion dollars in a single day, both aimed at the same problem: integrating AI into organizations.
The frontier labs have spent the last three years building capability and they have it. The problem is the friction that happens when the capability meets organizational inertial. Both ventures, in their own language, are saying the challenge has moved from building frontier models to absorbing it.
Anthropic’s venture exists to address the scarcity of engineers who can implement frontier AI systems at speed. That’s the technical cut at the absorption problem, and it’s a real cut. It is also the smaller half of the work. Engineers can install the model. They cannot install the operating system that lets the model do useful work. Decision rights, funding flows, performance metrics, role definitions, learning loops, the actual cadence of work, all of those have to evolve too. That harder layer is what enterprise leaders have been quietly grappling with while the AI press argued about benchmarks.
And it’s why I wrote Hyperadaptive: Rewiring the Enterprise to Become AI-Native. I saw early that AI was not just another technology change. It would be bigger, faster, and more impactful that what came before it. Just like what came before it, however, it would be the humans that needed to change as much as the technology. I extended the research, layered on new insights, and built the Hyperadaptive Model to serve as a guide.
Why now, and why a framework
Most of the leaders I work with feel the absorption problem viscerally. They’ve watched productivity gains in one team fail to add up to enterprise transformation. They’ve noticed that adoption metrics keep rising while strategic outcomes don’t. They have intuitions and they have pieces of solutions. What they don’t have is the sequence. Should we start with governance, talent, processes, the funding model, readiness, or all of it at once?
The Hyperadaptive Model works across nine dimensions to bring it all together. And it is a roadmap. It doesn’t solve every detail. Anyone claiming to do so isn’t realistic. The model serves as a directional light. It tells you which way the work goes and roughly in what order, so you can stop wondering whether you should be doing something different and start improving how you do the next right thing.
The book doesn’t tell you whether to roll out Copilot before you redesign your performance review process (the answer is: probably yes). It will tell you that Stage 1 foundations are real and that skipping it is what creates the chaos at Stage 3. It will tell you that the funding model must evolve before the operating model can. It will tell you what good looks like at each stage, so you can stop guessing whether your team is ahead or behind.
The convergence
A book and a moment rarely show up together. When they do, it is mostly accident. I would be foolish to claim I planned this, and, yet, I would be more foolish to ignore what the week kept saying. The frontier labs put $5.5 billion behind exactly what the book addresses. And what readers keep telling me, in different words, is that they already sensed all of it. They were waiting for the sequence.
If this is showing up in your org and you want to compare notes, hit reply. I read everything that comes in, and these notes shape the work I do next.
If you want a place to discuss your journey to becoming Hyperadaptive, consider joining our paid substack community. We meet every month to discuss, in real-time, what is happening inside real organizations.
And if you are looking for a roadmap, the book is here! Order today at hyperadaptive.solutions/book.
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