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You’ve probably seen the buzz from VCs predicting the rise of the “10-person unicorn” — a bit of hyperbole, perhaps, but increasingly accurate for the new wave of AI-native startups founded in the 2020s. Companies like Midjourney, Inflection AI, and 0G Labs are proving that small teams, when paired with the right technology and leverage, can deliver extraordinary results.

What sets these companies apart is their position on the Productivity Frontier — the outer edge of what's possible with current best practices. But for AI-native companies, this frontier is measured on an entirely different scale. One of their most potent leverage points? Go-to-Market (GTM). It’s a functional domain uniquely primed for experimentation, creativity, and acceleration — a place where the “art of the possible” is more than just a slogan.

Yet with this excitement comes a flood of noise: buzzwords, hand-waving, and ambiguity. The rapid pace of AI development only compounds the confusion. For many management teams and their investors, the challenge is awareness and clarity. They’re asking: What’s real? What’s vapor? And where does AI actually drive impact and business value in B2B GTM?