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Meta is reportedly pushing engineers to use AI for most of their code, and it may be one of the clearest signs yet that AI adoption is becoming mandatory inside major companies. In this episode, Eric and Neil break down why AI works differently in coding than in marketing, why engagement without revenue means nothing, and how the smartest companies are using AI to drive conversions, optimize operations, and move faster.

Key Takeaways:

◾Meta’s AI push could signal where the rest of tech is headed.

◾AI works better in coding because the output is easier to verify.

◾More engagement does not always mean more revenue.

◾Some of the best AI use cases in marketing are in CRO and business optimization.

◾Distribution still matters, even if AI makes execution cheaper.

Chapters:

00:00 Meta’s AI coding push

02:09 When AI engagement doesn’t lead to revenue

05:45 What real AI ROI looks like

07:26 Using AI to improve conversions

11:17 Stripe’s bet on AI agents

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