Key Takeaways

  • AI capabilities combined with widespread CEO demand are opening markets previously considered inaccessible to new technology.
  • The core business model for AI is shifting from selling software licenses to delivering measurable "work product" or "units of labor."
  • Founders building AI companies should expect and aim for explosive growth; slower growth suggests a critical issue.
  • Industries with historically high barriers to entry are now prime targets for disruption by AI-first companies.

AI Cracks Open Long-Closed Markets

Elad Gil has a specific message for founders right now: the market is wide open for AI innovation in a way he's never witnessed. Forget the old barriers. Previously difficult markets are now eager for new solutions, driven by AI's actual capabilities and a simple truth:

“The striking thing about AI is it's opened up tons and tons of markets that were closed for a long time,” Gil says. “And it's opened it up because of capabilities, but it's also opened it up because every CEO is asking themselves, 'What's my AI story?'”

This isn't just about better software. CEOs are actively seeking ways to integrate AI, creating a rare window for founders to move quickly into spaces once deemed too challenging.

Deliver Work Product, Not Just Tools

The most significant shift Gil points to is how AI changes the very product being sold. The traditional software-as-a-service (SaaS) model focused on selling seats or tools. AI rewrites this.

“What AI did is it shifted things from selling tools to selling work product or selling units of labor,” Gil explains. This means customers aren't buying a program to help a person; they are buying the result of that program's work, often equivalent to human output.

Think about it like buying a completed task, not the instrument used to complete it. This changes pricing, value proposition, and how companies integrate your solution. It's less about a new feature for their staff and more about replacing or greatly augmenting specific, quantifiable tasks.

Explosive Growth Is The New Bar

Because the markets are so receptive and the value proposition so direct, Gil sets a high bar for AI startups. He states, “if you're an AI company and you're not seeing explosive growth quickly, something's fundamentally broken because the markets are so open that you can suddenly grow at a rate that you've never grown before.”

Consider Harvey, which entered the notoriously difficult legal tech market. Historically, selling to law firms was considered a "crappy business" due to slow adoption and entrenched systems. Yet, Harvey saw rapid enterprise adoption by delivering AI-powered legal work. This shows that old dogmas about market difficulty no longer apply if AI delivers a direct "unit of labor."

Founders shouldn't settle for modest growth. The current environment demands rapid scaling if your AI solution truly delivers this kind of value.

What to Do With This

This week, identify a specific "unit of labor" your AI product or service provides. Quantify its output: How many hours of human work does it replace or augment daily? How many specific tasks? Stop thinking about your software as a 'tool' for an employee. Instead, articulate its value as a direct deliverable that saves time or generates output. Then, research one traditionally "closed" or difficult industry that could benefit from this specific unit of labor, and strategize how to make a direct sales approach based on delivered work, not just software access.