Hundreds of billions of dollars are being poured into making AI models more powerful, fast and cheap.
Those of us who care about the world must ask: to what end?
The prize is a civilization-scale dividend for all of humanity. What are we able to achieve when intelligence becomes a utility?
Frontier models can already produce world-class analysis, code and writing at superhuman speed for a fraction of the cost.
So, why do 80% of executives report no impact on productivity? How is it that the average worker thinks AI saves less than 2% of their time?
We call this the Post-Intelligence Bottleneck.
For true civilization-scale impact, we argue that it's not enough to focus on model intelligence or adoption.
The true problem is one of infrastructure.
It's a clear lesson from history. Breakthrough inventions, like electricity and IT, can go decades without realizing their full potential if they don't have their complementary infrastructure.
For us to realize AI's productive potential, we need agent-native infrastructure: purpose-built for a world where AI agents, not just humans, are doing the work.
In doing so, we will collapse the silos that knowledge workers are used to today. Documents, project management, communication - these are all context. Now, we also need to track agent activity, agent constraints and agent authorization. To be agent-native, these should all live together.
It's not just an opportunity to reinvent the nature of work - it's a moral imperative. To abstain would be to settle for just a small fraction of what AI can do for us. If we want to drive civilization-scale progress, we need to learn our lessons from history and build the enabling infrastructure - faster.
If you are serious about agent-native infrastructure or civilization-scale progress, we would love to talk. Reach out to richard@withnative.ai.