Mark Roberge is calling it now: we are about to witness the highest failure rate for a single cohort of startups in the history of tech.

As author of Science of Scaling, and co-founder of Stage 2 Capital, Mark joins the pod to dismantle the "growth at all costs" mindset that still plagues founders. He explains why the assembly-line sales model is dead and how AI will force a return to the full-cycle "rainmaker" rep.

**Key moments:**

The AI Bubble: Why the index fund of the last two years of AI investments is likely doomed.

Fixing Your ICP: And how optimizing for CAC or inbound volume without ICP fundamentals in place is a recipe for disaster

The 80% Rule: How AI moves reps from 25% selling time to 80%, and what that means for the future of SDR, AE, and CS functions

LIR - What it is and Why It Matters: Why every board deck needs a a LIR slide to predict product-market fit before revenue numbers hit

**Note:** Mark is donating 100% of the proceeds from his new book to mental health causes. Grab a copy of *The Science of Scaling* on Amazon!

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Chapters:

00:00 Introduction: Mark Roberge and The Science of Scaling

03:44 Founder Turnover and Loyalty in the AI Era

06:18 Navigating Founder Burnout and Strategic Pivots

16:30 Predicting High Failure Rates for AI-Native Startups

18:57 The Origin Story Behind The Science of Scaling

24:51 Why Most Companies Define Their ICP Wrong

28:34 The Leading Indicator of Retention (LIR) Framework

32:30 Real-World Example: Shifting ICP Based on Retention

37:22 Who Should Own Product-Market Fit?

43:23 Transitioning GTM Strategies from SaaS to AI

47:29 The End of Specialization: Collapsing GTM Roles

51:12 Solving GTM Inefficiency by Increasing Selling Time

56:50 How to Pilot the Consolidated "Ninja AE" Role

01:04:29 Designing Organizations for Rainmakers vs. Average Reps

01:08:01 Mental Health, Gratitude, and Closing Thoughts

Mark Roberge (Ex-HubSpot CRO): "AI Startups Will See the Highest Failure Rate in History"

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