Readiness gap
Transformative AI exists, but global adoption remains low and uneven
What defines this world
AI capability advances rapidly. Frontier models outperform top humans in research, coding, creative work, and complex analysis. But adoption globally remains low and uneven. The technology is available; the uptake isn’t there.
Regulatory caution, institutional inertia, workforce resistance, and implementation complexity slow diffusion. A few firms and nations capture most of the value. This is the scenario where the gap between what AI can do and what organisations actually use it for is widest.
Key dynamics
Frontier AI capability exceeds most organisations' ability to absorb it
Adoption bottleneck is institutional, not technological
First-mover advantage is massive; latecomers face steep catch-up
Talent becomes the critical bottleneck for implementation
Regulatory choices either accelerate or foreclose adoption
What WA faces
WA's response depends entirely on whether it is ahead or behind the adoption curve. If WA moves early, it captures outsized advantage in a world where most competitors are slow. If WA is among the slow adopters, it watches capable jurisdictions pull away. The window is open but narrowing.
Policy implications
Full analysis →Position in framework