Strategy Convergence
Strategy Convergence
Every startup founder reads the same blog posts, watches the same YouTube videos, and follows the same Twitter accounts. They all arrive at the same strategy. The playbook is public. The advantage is gone before you start.
The Convergence Problem
When AI tools are available to everyone, the strategic advantage of using AI disappears. Everyone automates their customer support. Everyone uses agents for code review. Everyone deploys AI-generated content. The table stakes rose, but nobody gained an edge.
This is strategy convergence - when access to the same tools and information leads every competitor to the same approach.
Where Advantage Actually Lives
If the strategy is the same, differentiation comes from:
- Execution speed - who implements it first and iterates fastest
- Taste - the subjective decisions that no playbook can teach
- Domain knowledge - deep understanding of your specific market that generic tools cannot replicate
- Operational excellence - doing the same thing as everyone else but 20% better
None of these come from a blog post or a framework. They come from doing the work.
The Agent Implication
AI agents accelerate convergence because they make implementation trivial. If building the thing is no longer the bottleneck, then choosing what to build becomes the only advantage. This is why taste, judgment, and deep customer understanding matter more than ever.
The companies that win are not the ones with the best AI tools. They are the ones who know what to point those tools at. Strategy is cheap. Direction is expensive.
Fazm is an open source macOS AI agent. Open source on GitHub.