AI & Automation
Distribution Advantage in AI
Understand distribution advantage in AI: because AI capability is commoditized and easy to build, the scarce, decisive advantage is often distribution (reaching customers), so distribution frequently beats product, and building or owning an audience, brand, channel, or platform is a key AI-era moat, as long as it's real, relevant, and paired with a decent product.
- Advanced
- 15 min total
- 13 chapters
What decision this helps you make: Why distribution (reaching customers) is often the decisive AI-era advantage: building the AI is easy, so distribution frequently beats product.
- Related case study: An Agency That Productized Into Software
- Related data & research: AI Adoption in Small Operations
What this topic is
Distribution advantage in AI is the principle that because AI capability is commoditized and easy to build, the scarce and often decisive advantage is distribution: the ability to reach customers through an existing audience, brand, customer base, channel, or platform.
Why it matters
Building an AI product is cheap and easy, so the ability to build is no longer scarce. What remains scarce is getting to customers. Distribution is hard to build and can't be obtained just by having the same AI, so incumbents and those with distribution often win even against better technology (they add AI to an existing base and reach customers instantly). In commoditized-AI markets, distribution beats product, as long as it's real, relevant, and paired with a decent product.
Who should learn it
Founders, operators, and investors in the AI era, where the scarce advantage is reaching customers, so building or owning distribution is often the most important moat to pursue.
What you will understand
- See the shift: building the AI is easy, so the scarce thing is reaching customers
- Understand the advantage: an audience, brand, customer base, channel, or platform (hard to copy)
- Know the consequence: incumbents with distribution often win, even against better technology
- See the nuance: distribution must be real and relevant, and paired with a decent product
Prerequisites
Common misconception
"If I build the best AI product, I'll win." Not usually, when the AI is commoditized and easy to build. Nearly anyone can build a similar AI capability, so the ability to build isn't scarce. Reaching customers is. Distribution (an existing audience, brand, customer base, channel, or platform) is hard to build and can't be gotten just by having the same AI, so incumbents with distribution often win even against better technology. In commoditized-AI markets, distribution frequently beats product. So building or owning distribution is often the decisive AI-era moat, as long as it's real, relevant, and paired with a decent product, not "build the best product and win."