Vertical AI Agents: The Next Big Thing That Could Dwarf SaaS

Pathange Balaji Rao
3 min readDec 11, 2024

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The Revolution No One Saw Coming

Imagine a world where entire teams can be replaced by intelligent software agents, where small companies can operate with superhuman efficiency, and where the traditional corporate structure gets turned on its head. Welcome to the era of vertical AI agents.

What Are Vertical AI Agents?

Think of vertical AI agents as hyper-specialized digital workers that can handle entire functions within a company. Unlike traditional software that just helps you work, these AI agents can actually do the work — and potentially do it better than humans.

A Real-World Analogy

Let’s break this down with a simple example. Remember how travel agents used to book all your trips? Then came Expedia and other online booking platforms that partially automated their job. Now, imagine an AI agent that could not just book your trip, but:

  • Research the best destinations based on your preferences
  • Compare prices across multiple platforms
  • Create a personalized itinerary
  • Handle all communication with hotels and airlines
  • Adjust plans in real-time if something goes wrong

That’s the power of a vertical AI agent — a complete solution, not just a tool.

Why Vertical AI Agents Could Be Massive

The podcast suggests these agents could be 10X bigger than SaaS (Software as a Service). Here’s why:

  1. Complete Automation: Unlike SaaS, which still requires human operators, vertical AI agents can potentially replace entire teams.
  2. Hyper-Specialization: These agents aren’t one-size-fits-all. They’re tailored to specific industries and tasks.
  3. Efficiency Breakthrough: Companies might scale with dramatically fewer employees. Imagine a unicorn startup running with just 10 people!

Real-World Examples

Customer Support

  • Companies like Gig.ml are building AI agents that can handle 30,000 support tickets per day
  • Replacing entire teams of customer service representatives

Recruiting

  • A Priori uses AI to conduct full technical screenings
  • Cap.ai creates chatbots that can dive deep into technical documentation

Quality Assurance

  • MCH is developing an AI agent that can replace entire QA teams
  • No more manual testing — the AI does it faster and potentially more thoroughly

The Secret Sauce: Boring but Crucial Tasks

The most promising vertical AI agents target what entrepreneurs call “boring butter-passing jobs” — repetitive, administrative tasks that nobody really wants to do:

  • Government contract bidding
  • Medical billing processing
  • Data entry
  • Compliance checks

The Economic Potential

Experts predict the potential for:

  • 300 vertical AI agent unicorns
  • Potential market size comparable to or larger than the current $300 billion SaaS market

Challenges and Opportunities

For Founders

  • Look for industries with repetitive, rules-based tasks
  • Leverage personal experience or connections in specific domains
  • Focus on solving precise, well-defined problems

For Enterprises

  • Be open to AI agents that can dramatically reduce operational costs
  • Prepare for a potential restructuring of traditional team compositions

The Future is Specialized

The key insight? One-size-fits-all solutions are out. Hyper-specialized, industry-specific AI agents are in.

A Word of Caution

We’re still in the early stages. The AI landscape is changing rapidly, with significant improvements happening every three months. What seems impossible today might be standard practice tomorrow.

Conclusion: A Paradigm Shift is Coming

Vertical AI agents aren’t just another tech trend. They represent a fundamental reimagining of how work gets done. For entrepreneurs, investors, and business leaders, the message is clear: Pay attention, or risk being left behind.

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Pathange Balaji Rao
Pathange Balaji Rao

Written by Pathange Balaji Rao

ProductManager.MBA Join 1600+ PMs | Ex-Product @ Setu, INDmoney, Tyke, Spyne.ai, BridgeUp • CoFounded DC Labs & Audify.club, Offtrack, SelfSchool.me (26K users)

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