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The horizontal AI play (build a general platform for everyone) is incredibly competitive.

The vertical AI play (build deep AI for one industry) is where fortunes are being made.

Vertical AI winners in 2026:

Legal: Harvey, CaseText, EvenUp — AI that genuinely understands legal reasoning. Raising hundreds of millions.

Healthcare: Viz.ai, PathAI, Tempus — AI for diagnostics and treatment planning. FDA-approved products in market.

Finance: Brex AI, Ramp, Kasisto — AI embedded in financial workflows. Proven ROI.

Real Estate: Zillow AI, Lofty, Restb.ai — property valuation, listing generation, market prediction.

Education: Khan Academy's Khanmigo, Duolingo's AI, Squirrel AI — personalized learning at scale.

Construction: Buildots, Versatile, nPlan — AI for project management and quality control.

Agriculture: Taranis, Prospera, CropX — precision agriculture powered by CV and IoT.

What vertical AI companies look for in hires: ML engineering skills PLUS genuine domain interest. The best legal AI engineers read legal opinions for fun. The best healthcare AI engineers understand clinical workflows.

The salary premium for domain expertise + ML: 20-40% above generic ML roles.

If you have deep knowledge in ANY industry plus ML skills, you are exactly the person vertical AI companies are desperately searching for. Don't undervalue your domain expertise — in vertical AI, it's your biggest asset.

#VerticalAI#AIStartups#DomainExpertise#MachineLearning#AIMarket#Investment