Nesh Aurora, CEO of Palo Alto Networks, recently made a bold claim that challenges how many founders think about the AI economy: Google, he says, is not just underrated, but poised to become the first $10 trillion company in our lifetime. His reasoning isn't about search ads or Waymo, but a surprisingly analog advantage in an AI-first world: its sales force.

Key Takeaways

  • Palo Alto Networks CEO Nesh Aurora predicts Google will be the first $10 trillion company, despite common market skepticism.
  • Aurora argues Google possesses all essential assets for AI dominance as a hyperscaler, but points to one specific, overlooked differentiator.
  • The critical advantage for companies deploying AI models isn't just model quality, but a robust sales force capable of convincing customers to adopt and integrate these new technologies.
  • Hyperscalers like Google, AWS, and Azure already have the largest sales teams globally, giving them a significant edge over pure-play AI model companies.

Why Google's Sales Force Matters More Than Its Models

Forget the obsession with model superiority for a moment. Aurora cuts through the noise with a clear, contrarian view: “I think Google's underrated. I think it's going to be the first 10 trillion dollar company in our lifetime.” He believes Google has “all the assets that are needed to make this successful.” But he isn't just talking about compute power or foundational models. His core insight is that even the most cutting-edge AI requires old-school elbow grease to actually make money.

Many founders build incredible models, assuming their brilliance alone will drive adoption. Aurora calls this out as a blind spot. “I think people underestimate you can be a model company, you still need to have a sales force that convinces customers to go out there and embrace these models and buy them,” he states. This isn't just about closing deals; it's about navigating complex enterprise integrations, building trust, and showing tangible value when customers are often hesitant about new AI solutions.

The Invisible Advantage: Hyperscalers' Ground Game

Here's where the advantage becomes clear: hyperscalers, the giants running the world's cloud infrastructure, already have a massive head start. “And if you think about it, three hyperscalers have the biggest number of sales people out there,” Aurora points out. He refers to Google, Amazon's AWS, and Microsoft's Azure. These companies don't just sell cloud compute; they sell complex solutions, backed by thousands of sales engineers, account managers, and customer success teams.

This existing muscle allows Google to do more than just innovate; it allows them to monetize innovation at a scale pure-play AI companies can only dream of. Imagine a small AI startup with a fantastic model versus Google's team. The startup might have a better algorithm, but Google has the army to get it into the hands of thousands of businesses worldwide. As Chamath Palihapitiya chimed in, part of why Google is “a little bit undervalued is just the conglomerate nature is hard to understand,” but Aurora sees this complexity as a hidden strength.

What to Do With This

Stop fetishizing model performance as the sole path to AI product success. If you're building an AI product, assess your go-to-market strategy with brutal honesty: do you have a credible plan, and more importantly, the human infrastructure, to get your model integrated into thousands of enterprises? If not, partner with a company that does, or start building out that sales and integration muscle today, rather than assuming product quality alone will carry you to $10 trillion.