Ask anyone to name an AI product and they will name a general assistant. Ask a finance team which AI product they actually pay for and you will hear the name of something narrow, unglamorous and deeply embedded in one workflow.

This gap is the defining commercial opportunity of the current market. Horizontal assistants compete on model quality, which commoditises quickly and is expensive to defend. Vertical products compete on how well they understand a specific job — the vocabulary, the regulations, the file formats, the person who has to sign off — and that understanding compounds instead of decaying.

Why narrow wins on economics

A vertical product can make assumptions. It knows the shape of the input, so it can pre-process cheaply. It knows what a correct answer looks like, so it can validate output automatically. It knows the user's role, so it can skip most of the conversation a general assistant needs to have. Each assumption removes tokens, latency and risk from every single request.

The result is a product that is simultaneously cheaper to run and more accurate for its audience than a general system with a much larger model behind it. That is an unusual and very durable position.

Depth is a moat that gets deeper every time a customer corrects you. Breadth is a moat that erodes every time a model is released.

Distribution changes shape too

Vertical products rarely grow through app store browse traffic. They grow through communities, operator referrals, integrations and content that is only legible to people inside the profession. That makes early growth slower and much more predictable — the acquisition channel is a list of named places rather than an auction.

  • Start where the data already lives. Integrating with the tool your users already keep open beats asking them to migrate.
  • Sell the outcome, not the model. Buyers in verticals pay for hours saved or errors avoided, and are indifferent to which model produced the result.
  • Write for practitioners. One genuinely expert article outperforms a quarter of generic content marketing in these markets.

The risk to watch

The obvious danger is a ceiling: a vertical is only as large as its profession. The teams that escape it expand along the workflow rather than into new industries — from documents to approvals to reporting to planning — so each expansion reuses the same accumulated context. Expanding sideways into a second industry usually resets the moat to zero.