Your AI Can Build an App. It Can't Build Your Business.
Core idea: Features become cheaper to create, but trust and reputation remain difficult to copy.
The Scary Slide
In his AWS leadership talk, Steven Brovich showed what he called "the scary slide":
"Somewhere a well-funded team of 30 engineers with access to a frontier model is looking at one of your product lines and asking: could we do this at a tenth of the cost, a tenth of the headcount, and a fraction of the time?"
The honest answer for most organizations is: maybe, possibly — we don't actually know because we haven't done the work to find out.
The Old Moats Are Eroding
For the last 20 years, businesses built moats around things like:
- Proprietary technology
- Engineering talent
- Infrastructure scale
- Distribution channels
- Manufacturing capability
AI is eroding all of them — fast. The top row of traditional advantages is collapsing. But the bottom row — the things that are hard to get — are becoming more valuable, not less.
What AI Cannot Replicate
The easier it gets to build software, the more value concentrates in the things that software cannot replicate:
- Years of operations — the accumulated knowledge of how your business actually runs
- Decades of trust — customer relationships built over time
- Things that cannot be parallelized — relationships, reputation, regulatory expertise
- Domain expertise — deep understanding of your industry, your customers, and your problems
These are the new moats. AI can generate a product, but a successful business is built on more than the product itself.
The Three Worlds of AI Economics
Brovich outlined three worlds for thinking about AI investment:
| World | Approach | Leverage | Differentiation |
|---|---|---|---|
| Use | End-to-end managed solution | Highest | Lowest |
| Compose | Leverage frontier APIs + your workflow | Medium | Medium |
| Build | Train or fine-tune your own models | Lowest | Highest |
The key insight: don't try to live in one world. Let economics and your actual differentiation drive which world each part of your workflow lives in.
- Day one: Maybe the frontier model does everything.
- Month six: You learn the economics. You move some tasks to "use" and some to "compose."
- Year two: The high-volume, high-differentiation stuff moves to "build."
The unhealthy path is the leader who says "We're a build shop on day one" and burns the company trying to train models before they understand their own workflow.
What This Means for You
- Your business moat is shifting from what you can build to what you know and who trusts you.
- Don't build what you can buy. Start with managed services. Customize through composition. Only build proprietary models when they create true differentiation.
- Invest in operations, trust, and domain expertise. These are the things AI makes more valuable, not less.
- Your AI can build an app in a weekend. It cannot build the years of customer relationships, operational knowledge, and industry expertise that make a business defensible.
Portions of this article are based on insights from Steven Brovich's talk "A leader's guide to advanced team structures in an agentic world" at AWS Events. You can watch the full talk here: A leader's guide to advanced team structures in an agentic world.