The Vertical AI Playbook: Why Narrow Beats General

Every week we see applications from founders building general-purpose AI assistants. Chat with your data. AI for everything. Your personal AI copilot. The pitches are polished. The demos look good. And almost all of them will fail.

The reason is simple: they are competing with OpenAI, Google, Anthropic, and every other foundation model company on their home turf. When ChatGPT can do everything, why would anyone pay for a startup that does everything slightly differently?

The startups that are winning in AI right now are doing the opposite. They are going narrow. Impossibly narrow. And they are dominating.

What Vertical AI Looks Like

A vertical AI company takes a foundation model and wraps it in deep domain expertise for a specific industry. The model is the engine, but the product is built entirely around the workflows, regulations, terminology, and pain points of one particular customer.

Healthcare: Companies building AI that reads radiology scans do not need a general-purpose chatbot. They need a model fine-tuned on millions of medical images, integrated into hospital PACS systems, and compliant with FDA and HIPAA regulations. That specificity is the moat.

Legal: AI that reviews contracts needs to understand legal terminology, jurisdictional differences, and the specific ways that corporate lawyers work. A general-purpose LLM will get you 80% of the way there. The last 20% is where the value is, and the startup captures it.

Finance: Compliance automation that understands SEC regulations, FINRA rules, and the specific workflows of compliance officers at mid-market banks. The domain knowledge is the product.

Why Incumbents Cannot Compete

OpenAI is never going to build a product specifically for dental practices. Google is never going to optimize for insurance claims processing. These markets are too small for them to care about individually, but collectively they represent trillions of dollars in GDP.

This is the classic innovator's dilemma playing out in real time. The big players are fighting over the horizontal platform. The vertical players are capturing the customers.

How to Execute on Vertical AI

Pick an industry you know deeply or can learn quickly. Spend the first three months doing nothing but talking to practitioners. Understand their workflows at a granular level. Find the specific point where AI saves them the most time or money. Build only that. Do not expand until you own it.

The companies in our portfolio that are growing fastest right now are all vertical AI. Narrow focus. Deep domain expertise. Products that a general-purpose AI cannot replicate because the value is in the domain knowledge, not the model.