Marketing School · Eric Siu and Neil Patel

Jensen Huang’s New Plan for Employees Is INSANE

March 30, 2026·22 min·2 clips

Nvidia's CEO says he'd be 'deeply alarmed' if a $500,000 engineer wasn't spending $250,000 on AI tokens.

Jensen Huang's token comment kicks things off. Eric and Neil hear it two ways: a nudge toward heavier AI usage, and a line that happens to be very good for Nvidia. That tension is the whole bit. Neil mostly agrees, with a cost check attached. Teams may need to use AI hard, but open source models might get them close for far less than $250,000, maybe nearer $30,000. Then the episode swerves into SEO. The first move is plain but useful: ask sites that already link to you to add brand mentions and more detail. Cold outreach is a slog. A publisher that has already linked has at least raised a hand, so the update is an easier ask. API-driven SEO gets treated like an operator's workflow, not a shiny concept. Eric talks about tools querying data, connecting Mixpanel with Stripe, tracing traffic, and charting flows. People still check the work, but APIs and agents can make the work feel closer to a command line. Brand demand is the next lever. Neil says when a corporate brand's Google Trends line goes up, non-branded rankings usually move with it. That makes branding less like mood music and more like infrastructure: mentions, searches, pages, and trust signals matter more when buyers already know the name. The close lands on a supplement page that wins Eric over. Bundles, reviews, customer purchases, servings, transformation framing, and health influencer proof all sit in one place. He already has the product, but the page makes the buy feel almost pre-decided.

As heard by us

A brisk take on AI spend, SEO shifts, and brand leverage.

The episode starts with Jensen Huang's warning about token spend and uses that as a clean entry point into AI efficiency, marketing, and the cost of getting work done.

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Why you'd press play

You want the episode's take on Jensen Huang's AI comments and the SEO moves it tees up.

Read the full recommendation in PlayNext →

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