Horizontal AI tooling dominated the last wave of hype, but the next generation of AI value will flow into verticals—industry-specific systems trained on deep, narrow datasets that solve real workflow problems. From underwriting in insurance to freight scheduling to clinical documentation, vertical AI doesn’t just generate text, it rewires processes. The TAM is enormous, the product risks are lower, and the incumbents are desperate for efficiency. Yet vertical AI remains underfunded because it requires intimate domain knowledge—something most generalist teams overlook.
Horizontal AI tooling dominated the last wave of hype, but the next generation of AI value will flow into verticals—industry-specific systems trained on deep, narrow datasets that solve real workflow problems. From underwriting in insurance to freight scheduling to clinical documentation, vertical AI doesn’t just generate text, it rewires processes. The TAM is enormous, the product risks are lower, and the incumbents are desperate for efficiency. Yet vertical AI remains underfunded because it requires intimate domain knowledge—something most generalist teams overlook.
Horizontal AI tooling dominated the last wave of hype, but the next generation of AI value will flow into verticals—industry-specific systems trained on deep, narrow datasets that solve real workflow problems. From underwriting in insurance to freight scheduling to clinical documentation, vertical AI doesn’t just generate text, it rewires processes. The TAM is enormous, the product risks are lower, and the incumbents are desperate for efficiency. Yet vertical AI remains underfunded because it requires intimate domain knowledge—something most generalist teams overlook.
Horizontal AI tooling dominated the last wave of hype, but the next generation of AI value will flow into verticals—industry-specific systems trained on deep, narrow datasets that solve real workflow problems. From underwriting in insurance to freight scheduling to clinical documentation, vertical AI doesn’t just generate text, it rewires processes. The TAM is enormous, the product risks are lower, and the incumbents are desperate for efficiency. Yet vertical AI remains underfunded because it requires intimate domain knowledge—something most generalist teams overlook.
