Artificial intelligence is not just another breakthrough technology. It is rapidly becoming the operating system of society, influencing how decisions are made, how capital is allocated, how knowledge spreads, and how institutions adapt.

Every issue I care about, be it climate transition, inequality, institutional trust, innovation - these will be shaped by AI’s capabilities and constraints. Treating it as a standalone priority underestimates its reach. It is the environment in which all other priorities now evolve.

The challenge is not only in better models. It is strengthening the human systems of governance, incentives, coordination, and absorptive capacity of society that determine whether AI accelerates harm or accelerates a collective response.

“How can they possibly think or believe that?”

This has crossed my mind far to many times recently, but perhaps a better question is “Why do I think I’m so right?”, or “What’s my goal here?”. Is it to feel good that I’m on the right side, and they’re on the wrong side? Or is it to do what it takes to build a better world, whatever it takes?

Pick your issue, be it social, political, environmental or relational. It’s hard to be less dualistic; simplistically separating right from wrong. It’s harder still to be open to the idea I might be wrong, or at the very least, a pretty lousy listener.

Problems are accelerating at an unprecedented pace. Climate change, inequality, and systemic challenges compound faster than our responses can address them.

Yet, most philanthropic resources flow toward established approaches with predictable outcomes. This creates an acceleration gap - the widening space between how quickly problems evolve and how rapidly we deploy solutions.

With modest means, I’m exploring possibilities in courageous giving to support ways we can dramatically accelerate impact.

New products or services that make something expensive or complex much simpler and more affordable can be the key to addressing global poverty. These “disruptive” (or outright crazy!) innovations turn non-consumers into consumers and create entirely new markets. Think Henry Ford with the Model T, Mo Ibrahim with Airtel cellphone networks in Africa and now, Open AI with ChatGPT.

I was inspired by speaking to Efosa Ojomo, co-author of the book Prosperity Paradox with Clayton Christensen on what I intuitively sense to be true. So much more to explore.