EP009: Sitting Ducks and Fortresses: How to Read the AI Landscape

Jay and Jeff are back with another hosts-only episode — and Jay builds an AI vulnerability matrix live on the call. They cover how to stand out as an AI-first job candidate, the three biggest AI go-to-market mistakes leaders are making right now, and the heated debate over whether the CSM role is really being replaced or just transformed.KEY TAKEAWAYSProve you're AI-first before the interview: The best candidates aren't submitting resumes — they're building things. A candidate for Jay's team built an app in Lovable and sent it unprompted. That's how you get noticed. Loom videos, written walkthroughs, anything that shows you've done the work.Centralize AI where it touches systems of record; let everything else run organically: MCP-connected tools that touch your CRM or customer data need governance and controls. Departmental tools like Gamma don't. The mistake is treating all AI adoption the same.The three go-to-market AI mistakes: Automating bad processes at scale, building on generic best practices instead of your own call data, and prioritizing internal efficiency over the buyer experience. These aren't new problems — AI just makes them impossible to ignore.Know which quadrant you're in: Jay's AI Vulnerability Matrix maps companies by solution complexity vs. replicability. Sitting ducks (low complexity, easy to replicate) need to move fast. Fortresses (high complexity, hard to replicate) have time. Knowing your quadrant should drive your entire strategy.The $700K ARR per employee benchmark: AI-native companies are hitting $700K–$1M+ ARR per employee. The old benchmark was ~$200K. If you're still staffing like it's 2019, a competitor is already disrupting you.Humans stay in the CS loop — but the role changes: Agent-to-agent purchasing will happen first for simple products. For complex enterprise software, the relationship still matters. But the job shifts: less task management, more being so embedded in the customer's business that you know their next move before they do.CHAPTERS00:01 - Welcome + why Balboa runs a February fiscal year02:34 - The job candidate who built an app to stand out04:16 - Three ways to prove you're AI-first as a candidate09:01 - Kyle Norton: centralize AI adoption or let it happen organically?12:16 - Why you need both — and Jay's internal AI show-and-tell at Balboa17:53 - Kyle Lacy's three go-to-market AI mistakes21:50 - Your call recordings are your best practices23:27 - Jay builds the AI Vulnerability Matrix live on the call25:32 - The four quadrants: sitting ducks, protected niches, targets, fortresses33:19 - What AI-first companies actually look like (Jason Lemkin)35:00 - The shift from CSM to forward deployed engineer36:12 - The $700K ARR per employee benchmark36:40 - Jeff's counterpoint: humans stay in the buying loop longer than we think41:15 - Agent-to-agent PLG is already happening45:54 - Wrap-upAbout the Show: Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.Your Hosts:Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.ioJeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io