Topline

Ryan Burke, VP of Worldwide Sales at Crogl and enterprise security veteran, discusses AI-driven cyber risk and vibe-coded software vulnerabilities. He explains how models like Mythos lower attacker costs and why orphaned internal agents create long-term danger. The conversation also covers AI for SOC triage, patching tradeoffs, and security becoming a must-have for acquisitions.

Liz Christo, general partner at Stage 2 Capital who invests in early-stage software startups, discusses build versus buy and hidden maintenance costs of DIY AI tools. She covers engineers embedded across departments, inflated TAMs in pitch decks, risks to critical thinking from AI drafting, and which moats still matter like proprietary data, vertical networks, regulation, and systems of record.

Peter Walker, Senior Director of Insights at Carta, brings private-market data on startups and unicorns. He discusses capital concentration in AI, why fundraising is harder outside the AI cohort, the fading private equity safety net, the rush to become AI-native, the death of long-term product roadmaps, and the widening talent divide favoring top performers.

Jordan Crawford, founder of Blueprint GTM and AI-for-revenue pioneer. He discusses building autonomous pipeline engines, extracting competitor user data at scale, rapid campaign testing and iteration loops, replacing static ICPs with pain-qualified segments, and redesigning RevOps and roles around AI-driven tooling.

Cassie Young, Partner at Primary Venture Partners who leads seed investing and go-to-market thesis work, discusses scaling a contrarian $625M seed fund. She covers AI-native CRMs challenging incumbents, why AI targets a $6T white-collar market, retention risk for AI startups, and the signals Primary uses when writing checks to early GTM founders.

Kyle Norton, CRO at Owner.com, builds AI-driven revenue systems and centralized intelligence engines. He discusses why starting with mapped, enriched data matters. He explains why centralized AI rollouts outperform decentralized tinkering. He argues most early AI investment should target the top of the funnel to drive pipeline growth.

Amanda Kahlow, founder and CEO of OneMind and co-founder of 6sense, builds AI sales agents that qualify buyers, run demos, and close deals. The conversation explores how these 'superhumans' work across the funnel. It covers technical tradeoffs, voice and persona design, measuring AI versus human outcomes, and the near-term roadmap for autonomous revenue agents.

They explain Intercom's radical AI pivot and the tradeoffs of sacrificing predictable seat-based revenue. The hosts unpack how agentic products change unit economics and force much faster growth. They debate rising compute costs, pricing approaches, and why data moats matter. They also cover board dynamics, leadership conviction, and what it takes to refound a company around AI.

A heated debate about how to handle team members who resist AI, from nudges and hackathons to cutting ties. Practical tactics for embedding AI into daily pipeline work and mapping tasks to agents. Discussion of urgency and different tolerance levels by seniority. A one-day execution test and warnings against treating AI as an unedited shortcut.

A rapid guide to moving from legacy SaaS into high-growth AI roles. Practical tips on building demonstrable work product with low-code tools. How to show where AI succeeds and fails as a hiring signal. Ways to combine domain expertise with an AI-first GTM approach. Why staying active on AI social channels and sharing unexpected wins boosts credibility.