Instead of selling software to traditional industries, a more defensible approach is to build vertically integrated companies. This involves acquiring or starting a business in a non-sexy industry (e.g., a law firm, hospital) and rebuilding its entire operational stack with AI at its core, something a pure software vendor cannot do.

While horizontal chatbots handle general tasks well, they fail at the highly specific, high-stakes workflows of professionals like investment bankers. Startups can build defensible businesses by creating opinionated products that master the final 1-2% of a use case, which provides significant value and is too niche for large AI labs to pursue.

The guest argues that a specific AI vertical is underinvested: automating administrative knowledge work that is fundamental to how companies get paid. These tools have high revenue durability as they become core financial infrastructure, yet receive less VC attention than other AI categories.

Silicon Valley is biased towards open-ended knowledge work like software engineering. However, a larger, often ignored opportunity for AI lies in automating the repeatable, deterministic business processes that power most of the non-tech economy, from customer support to operations.

While AI can improve existing software categories, the most significant opportunity lies in creating new applications that automate tasks previously performed by humans. This 'software eating labor' market is substantially larger than the traditional SaaS market, representing a massive greenfield opportunity for startups.

Companies like Rogo compete with OpenAI not by building better models, but by building perpendicular to them. They focus on complex, industry-specific "plumbing" like compliance systems, audit trails, and data rooms—critical infrastructure that is too niche for large horizontal players to prioritize.

Unlike Vertical SaaS which sells software licenses to IT departments, Vertical AI sells outcomes by replacing human labor. This allows it to tap directly into a company's much larger labor P&L, creating a significantly bigger total addressable market and enabling outcome-based pricing models.

The classic startup-incumbent battle shifts with AI. In markets with strong software incumbents (e.g., HR), startups risk being copied. The bigger opportunity is in 'non-categories' where the main competitor is manual human labor, creating a blue ocean for AI-native companies.

Avoid trendy, saturated markets. Instead, focus on stable, 'boring' industries that are slow to innovate and still rely on manual processes. These markets are ripe for disruption, have less competition, and typically offer higher margins for AI solutions.