Marketing School · Eric Siu and Neil Patel

Meta Is Firing Anyone Who Doesn't Use AI

April 7, 2026·22 min·2 clips

Meta now requires 65% of engineers to write 75% of their code using AI by 2026, tying promotions directly to AI adoption.

Okay, Meta is the pressure point. The cold open runs through a heavy set of internal AI targets: code quotas, performance reviews, and career credit tied to AI impact. The host is skeptical. The read is blunt. AI adoption may help, but it also gives Meta a tidier story for cuts. Coding gets the cleanest case. Product and design sit closer to that side too. Marketing is murkier because it still needs judgment, taste, and a feel for what the numbers are really saying. The practical example is checkout, not asking a chatbot for vague pricing-page ideas. AI inspects real funnel data by country, then ranks abnormal drop off through pricing, credit card, and checkout steps. Global checkout gets strange fast. Processors work differently by market, with Adyen named for Europe and a Brazil payment option the host calls bellettos. Columbia comes up as the worst case. From there, AI points toward likely causes like local currency issues, processor gaps, and experiments worth testing. Humans still handle the touchy parts: signups, banking details, calls, and rate negotiation. That boundary matters. The hosts are not selling agents as fully autonomous when financial and personal details are involved. They are useful analysts first. The last stretch moves into launch testing and incrementality. AI can help predict what might work before spend starts, but the hosts push back hard on easy attribution. A click does not prove the ad caused the sale. Turn advertising off, compare the revenue difference, and judge from there. They end wanting a modern Crazy Egg for AI-assisted marketing analysis and experiment design.

As heard by us

Meta's AI push reads less like a tech story than a labor and ROI story.

This episode frames Meta's AI mandate as a labor and ROI problem, not a shiny product story. Layoffs sit in the background, performance reviews now depend on AI-driven impact, and the pressure to use the tools is treated as a real factor in promotion decisions.

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Why you'd press play

You want the business logic behind Meta's AI push, not the headline.

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