Switching Costs Are the Real Moat
In the AI era, quality becomes table stakes. The real moat is switching costs: workflow, data gravity, and habit.
Switching Costs Are the Real Moat
Quality is a feature race; switching costs are the behavior lock.
As AI makes building cheaper, "good enough" becomes table stakes. The companies that win are the ones that make leaving operationally, emotionally, and politically painful.
The reframing
Intelligence—models, algorithms, automation—is abundant. The real advantage isn't a smarter model; it's embeddedness: the extent to which a product is woven into daily work, data, and decisions.
Why incumbents still lose
Incumbents often carry the most AI talent and the most operational bloat: layers of process, committees, compliance rituals, and roadmaps that protect headcount. That legacy creates customer debt and migration friction that can slow response time.
Why small teams win
Small, talent-dense teams win not by outbuilding but by outfocusing. They:
- Move fast
- Ship narrow and sharp
- Exploit incumbents' internal tooling sprawl and migration fatigue
A focused wedge that lands quickly forces choice at the user level long before the giant finishes a feature roadmap.
A repeatable playbook
- Build something 10x easier to adopt.
- Create a wedge that lands in days, not quarters.
- Turn adoption into switching costs via workflow, data gravity, and habit.
- Let the incumbent's bloat slow their response until it's too late.
What to build
Embed where work happens: inboxes, dashboards, approval flows, or syncs that become part of a routine. Solve a real pinch point and make the product the fabric of a job—so removing it breaks the week.
Conclusion
In the AI era, intelligence is cheap; embeddedness is rare. The moat is not the model but the cost of leaving. Build the thing people can't rip out.
Originally drafted as a LinkedIn post.
If you want this kind of "inbox manager that drafts and ships" help for your own work, email handle@solomail.io.