AI can extend what one person builds — but it can't replace what a team holds together. I built CANOPY in a day: a four-step decision tool with multiple expert lenses converging. The architecture held. What didn't hold was everything I forgot to design for while working alone. Isolation isn't just a risk for experts. It's the thesis we keep proving.

Every technical component of a community-scale, regenerative data center exists today. The design is more desirable for communities, more viable over a ten-year horizon — and everyone who sees it says yes, obviously. Then nothing happens. Four behavioral locks are reinforcing each other. The barrier was never engineering.

It's not what experts know that's hardest to transfer. It's how they see. When I ran the same problem through a standard LLM and an innovation coach built on 77 frameworks from our book, The Insider’s Guide to Innovation at Microsoft, the LLM answered my question. The coach questioned my question — and surfaced what I actually needed.

AI makes everything faster. But building the wrong thing faster isn't a superpower — it's the same old same old at new speeds. The real advantage isn't expediency. It's expansion: diverging farther, sensing more, testing more possibilities before committing. And then there's the harder question — what happens when the incentive architecture actively punishes the people who try?

Last week, I watched Jane Goodall’s Famous Last Words episode on Netflix. If you haven’t seen it, the show records intimate interviews with well-known people, then keeps them sealed until after they die. Jane’s was released after she passed in October 2025 at age 91.

A lot of what she said will stay with me. But I’m trying to make a habit out of one thing in particular.

In this unique guide, you’re not just reading about innovation—you're learning how to do it from the people behind some of the biggest breakthroughs of the last 50 years at one of the most influential and valuable companies in the world.

Why do elephants migrate to high ground days before a tsunami and goats know to flee volcanic mountains hours before an eruption? Why is it that some innovators repeatedly find themselves in the right place at the right time with the right thing in their hands?

We don’t control where any given product is within the adaptive cycle, all we can control is how prepared we are for it. Choose to be proactive and get ahead of the curve or be reactive and wait for it to collapse around you.

When it comes to healing the planet, there’s no better perspective I can think to bring to the innovation table than nature itself. Rather than asking ‘how do we get to net zero emissions’ let’s ask ‘how do we become net positive?’