How fast everything is moving, and how we adapt to it
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Across this series, I've traced a clear, compounding trajectory.
Uneven global access feeds into platform dependency, which rapidly hardens into Asymmetric Corporate Expansion — a reality where a tiny handful of commercial boardrooms dictate the boundaries of global productivity.
None of this points to a single inevitable outcome.
It points to a system under pressure.
There’s a framing I’ve been coming back to recently, borrowed from Mo Gawdat.
During the Cold War, the dominant paradigm was MAD — Mutually Assured Destruction — but Gawdat suggests that with AI, we have the potential for something different:
MAP — Mutually Assured Prosperity.
It’s a neat idea, but I’m not convinced it’s that simple.
Most discussions about AI focus on capability — what it can do, how fast it's improving, and where it might go next.
My last post focused on the fact that less attention is paid to something more subtle, but arguably more disruptive.
Time.
Not just in the sense of speed, but in how time is experienced across different parts of a system.
Because one of the emerging challenges is that time is no longer behaving consistently.