No technology has ever disrupted as quickly or as broadly as AI has. The market capitalization of the world’s 10 most valuable public companies far outpaces the rest of the market, and 9 of them are focused on AI.

Last year’s agenda (where’s the ROI, where should we pilot) has given way to more difficult challenges: How will we fund the buildout, integrate AI more rapidly, and preserve IP? And how will industry structure and regulation evolve to facilitate innovation, competitiveness, and safety?

So, AI must do more than boost labor productivity on existing tasks; it needs to unlock new sources of growth and value. Superintelligence should be used for superhuman endeavors, not just better execution of existing, mundane work.

Productivity and growth depend on how quickly existing organizations can absorb AI and new AI-native organizations can grow. It’s no longer only about access to the best technological capabilities; it’s about who can put AI to work fastest and most effectively.

As technology absorption rates emerge as a strategic variable, enterprise leaders are committing to deep, lasting change. The technology stack is being rebuilt around AI at its core. Opex is migrating from headcount to token spend. The organizational pyramid is flattening as individual contributors take on something closer to a managerial role, directing agents rather than executing tasks themselves.

The enterprise and global economy are being reengineered from the ground up. This report maps the work.