The Present and Future of AI in Sales and GTM A Deep Dive with Jason Lemkin and Kyle Norton, CRO at Owner

In this episode, Jason Lemkin reveals how his company, Saster, swapped traditional sales development reps for AI agents that consistently out‑perform mid‑level AEs and SDRs. By automating lead qualification, outreach, and early‑stage nurturing, the AI workforce slashes salary overhead while maintaining, and often exceeding, conversion rates. Lemkin’s experiment demonstrates that AI can handle repetitive sales tasks at scale, freeing human talent to focus on complex negotiations and strategic relationship building. The shift underscores a broader industry trend: AI‑driven revenue engines are no longer experimental but essential for competitive advantage.

Lemkin warns CROs and CMOs that merely hiring consultants to "manage" AI transformation is insufficient. Executives must roll up their sleeves, understand the data pipelines, and embed AI into daily workflows. Hands‑on adoption ensures alignment between technology and go‑to‑market strategy, preventing the talent gap that can render senior leaders obsolete. By taking ownership, revenue leaders can fine‑tune AI models, monitor performance metrics, and iterate quickly, turning AI from a buzzword into a measurable profit driver.

The conversation also challenges legacy sales benchmarks—such as the triple‑triple‑double‑double quota model—arguing they no longer reflect the speed and scale AI introduces. Looking toward 2026, Lemkin predicts that organizations that integrate AI‑enabled GTM platforms, like User Evidence’s proof‑of‑concept system, will dominate by delivering real‑time customer validation and shortening sales cycles. Companies that invest now in AI‑powered prospecting, forecasting, and evidence management will build resilient pipelines capable of thriving in an increasingly automated market landscape.