Vertical AI Agents Could Be 10X Bigger Than SaaS
The episode that defined the category thesis; 300 potential billion-dollar companies.
Open ycombinator.com →
Building & Product
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Is there a real startup opportunity in building vertical AI agents?
Yes, and it may be the biggest one of this cycle: YC's partners argue vertical AI agents could be 10x bigger than SaaS because they tap labor budgets, not software budgets; you sell completed work, not seats. The winners (Harvey in legal, Sierra and Decagon in support, EvenUp in personal injury, Abridge in healthcare) pick one painful workflow in one industry and own the outcome end to end. The edge goes to founders who deeply know a niche's workflow, including unglamorous Indian and SMB verticals nobody in San Francisco understands.
Go deeper
19 resources.
Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities
The earlier YC talk with the playbook for picking your vertical.
Open ycombinator.com →No Priors Ep. 82: Bret Taylor on company-branded agents
Sierra's founder on agents as the new front door for every brand.
Open sierra.ai →Vertical AI Agents | Bret Taylor on Perspectives
Why enterprise software's future belongs to vertical agents, per its loudest champion.
Open pigment.com →Bret Taylor on Lenny's Podcast
From Google Maps to Sierra: how he evaluates the agent opportunity.
Open sierra.ai →Jesse Zhang on sales battles, AI wrapper revenge, and making agents work
The unvarnished go-to-market grind behind a vertical agent startup.
Open upstartsmedia.com →Building Vertical AI: An early stage playbook for founders
A VC's operating manual for going from wedge to platform in a vertical.
Open bvp.com →Building Vertical AI (full book, PDF)
The expanded book with revenue benchmarks from Harvey, EvenUp and peers.
Open bvp.com →The State of AI 2025
Market sizing: services are 10x the software market, and agents tap them.
Open bvp.com →Good news: AI Will Eat Application Software
The macro argument for why agents expand rather than shrink the market.
Open a16z.com →Big Ideas in Tech for 2025
Where a16z partners saw agent openings across industries.
Open a16z.com →An Interview with Bret Taylor About AI Agents and Tech History Lessons
Puts the agent wave in the context of past platform shifts.
Open stratechery.com →35 startup ideas to start in 2025 (SaaS, AI agents)
Concrete, priced agent ideas you could start validating this week.
Open x.com →30 startup ideas to build in 2025 (AI agents, SaaS, tools)
A second batch of buildable agent wedges with revenue models attached.
Open x.com →Decagon Business Breakdown & Founding Story
A full teardown of how one vertical agent company reached $1.5B+.
Open research.contrary.com →Decagon, Sierra and the Race to Build Customer Support Agents
The competitive dynamics of the hottest vertical, told through two rivals.
Open upstartsmedia.com →Toma's AI voice agents have taken off at car dealerships
Proof that boring niches (dealership phone calls) make great agent businesses.
Open techcrunch.com →Hi, AI: Our Thesis on AI Voice Agents
The voice-agent market map, a whole sub-category of vertical opportunity.
Open a16z.com →How India's Tech Landscape Got an Agentic AI Makeover in 2025
The India-specific map of agentic startups, funding and open gaps.
Open inc42.com →More in AI Agents
- What actually is an AI agent, in plain language? 18 →
- Why would a founder use agents instead of a chatbot or automation? 18 →
- What real tasks are founders delegating to agents today? 20 →
- How do I build my first agent without being technical? 20 →
- Which platform or framework should I build my agents on? 18 →
- How much do AI agents cost to run, and how do I keep the bill under control? 18 →
- How do I test an AI agent and know when it's reliable enough to trust? 18 →
- What can go wrong when an agent acts on my behalf, and how do I keep it safe? 16 →
- What is MCP, and why does it matter for my agents? 18 →
- Should I build one agent or a team of agents working together? 18 →
- Can coding agents like Claude Code actually build my product? 18 →
- How should I price a product built on AI agents? 18 →
- Why do most AI agent projects fail, and what do the winners do differently? 19 →
- How do I give my agent the right context and memory so it stops forgetting? 18 →
Also in Starting Up
The same ground, over in Build the product, our Starting Up track.
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