Selling in the Age of AI Agents

Will AI agents replace the human enterprise seller? Nathan Rader and TJ Williams are weighing in on that debate, and not as outside observers. Early in their careers, both sold enterprise software at IBM, Oracle, and Google. Nathan later led go-to-market at a string of growth-stage startups including Parsable, HighRadius, and Karat, while TJ went on to lead sales organizations at Dropbox and Degreed. Today, they're each confronting AI's impact firsthand — Nathan as Chief Revenue Officer of Oro Labs, and TJ as an Operating Partner at Brighton Park Capital, leading the firm's go-to-market advisory practice.

In this episode, host Usman Rabbani sits down with Nathan and TJ to discuss how enterprise sales is evolving as AI agents take on more of the work traditionally done by sellers. Together, they trace the arc from Lotus Notes to AI-native GTM stacks, and what separates the shift in tooling from the shift in what actually wins deals. Their conversation spans where human judgment remains irreplaceable in the sales process, why efficiency gains from AI haven't yet translated into top-line growth, what happens to the talent pipeline as entry-level SDR and BDR roles disappear, and what will separate great go-to-market organizations once every competitor has access to the same tools.

TJ expands on several of these themes in his recent thought piece, How to Build a Sales Team That Wins in an AI World, which makes the case for investing in the SDR pipeline rather than gutting it, and for hiring sellers who treat AI tools as a core part of the job rather than a threat to it.

For anyone building, leading, or investing in a go-to-market organization, this episode offers a grounded, experience-driven view of where AI is genuinely changing enterprise sales, and where the fundamentals still hold true.