Vertical AI Just Got More Urgent

Best place to hide from OpenAI's blitzkrieg is in the crevices and details. While everyone races to build general AI platforms like sprinters competing for the same finish line, the real opportunity lies in vertical AI, solutions tailored to specific industries with domain expertise that large language models simply do want to and cannot match.

This emerges repeatedly across legal tech, healthcare, construction, and dozens of other industries, much like how specialized organisms thrive in ecological niches that generalists can't inhabit.

Specificity Wins

Specificity doesn't just improve accuracy; it's the antidote to hallucination. An AI that only needs to master one domain can be as reliable as a seasoned specialist, while a general AI trying to know everything resembles a freshman cramming for finals in every subject simultaneously.

Building defensibility becomes natural, too. When you train your models on industry-specific data and weave them into specialized workflows, you're not just building a moat but creating a fortress with walls that general platforms would need years to get to.

This resembles what worked for SaaS, but with a crucial twist: SaaS helped businesses run better, whereas vertical AI actually does the work. It's the difference between giving a carpenter better tools and having a 3D printer that builds the entire house.

'ChatGPT for Business' Changed Everything

Yesterday, OpenAI released massive updates to ChatGPT for Business, connecting it to organizational knowledge across Google Drive, SharePoint, GitHub, HubSpot and adding meeting transcription and search. The competitive landscape shifted like tectonic plates beneath our feet.

This is actually good news if you're building vertical AI. B2B isn't winner-takes-all; rather, it's more like a specialized marketplace where expertise trumps generalization. Enterprise customers will still consider multiple options, but now they'll expect more, forcing vertical AI companies to focus on their superpower: solving industry-specific problems that general platforms can't touch.

What This Means

You can't sell to IT departments or CEOs anymore. You need to win over practitioners who live and breathe the problems you're solving. Your initial wedge might be surprisingly narrow, like a keyhole that opens a much larger door.

Small industries are actually massive oceans of opportunity. Residential plumbing in the US alone is a $130 billion market. Veterinary care is $50 billion. Legal services are $400 billion. These aren't puddles; they're vast seas waiting for the right navigation tools.

In the gold rush of artificial intelligence, the biggest fortunes won't be made by those selling general-purpose picks and shovels. They'll be made by those who know exactly where to dig and how deep to go. The future belongs not to AI that tries to be everything for everyone, but to AI that becomes indispensable to someone.

Winners in AI won't be those who cast the widest nets, but those who master the richest fishing grounds.