AI boom vs bust: the infrastructure timing risk

They explore Noah Smith's railroad analogy where infrastructure buildout may outrun monetizable apps, creating timing risk.

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Episode notes

In this episode of Mostly Growth, CJ Gustafson, Kyle Poyar, and Ben Hillman unpack a wide-ranging set of predictions and observations about where go-to-market strategy, AI, and pricing models are headed next. They discuss why what ChatGPT says about your product may become a core marketing KPI, the resurgence of direct mail and physical touchpoints in an AI-saturated world, and why “almost as good as a human” is a dangerous positioning for AI-driven products. The conversation also explores AI monetization paths through advertising, the risk of an AI infrastructure timing mismatch leading to a broader financial pullback, and what historical parallels like railroads and the Sears catalog can teach us about today’s buildout. The episode closes with real-world pricing lessons, from energy-as-a-service solar subscriptions to the surprisingly massive standalone economics of Apple’s AirPods, tying together how distribution, perception, and monetization shape durable growth.

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LINKS:

Mostly Metrics: https://www.mostlymetrics.com

CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/

Growth Unhinged: https://www.growthunhinged.com/

Kyle on LinkedIn: https://www.linkedin.com/in/kyle-poyar/

Slacker Stuff: https://www.slackerstuff.com/

Ben on LinkedIn: https://www.linkedin.com/in/slackerstuff/

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