Zuckerberg's AI Manifesto: Meta Gives Away Models, Keeps the Ad Business

Zuckerberg's letter reframes Meta's enormous AI spending as a deliberate strategy rather than a cost burden. By committing to open-weight model releases, Meta positions itself as the champion of democratic access to superintelligence—a narrative that also justifies years of capital-intensive data-center expansion. The letter's governance detail—independent board approval of safety criteria—adds a layer of institutional credibility to the bet.

The economics depend on a specific assumption: that the models themselves have limited direct revenue potential, while the infrastructure supporting them (and the user data flowing through it) remains Meta's irreplaceable moat. The strategy works only if advertising can keep growing fast enough to fund the build-out. In the second quarter, that test passed—28% revenue growth on a $60.8 billion base is substantial. But deceleration is already visible: second-quarter growth of 28% slowed from the first quarter's 33%, and third-quarter guidance of $61 billion to $64 billion hints at further moderation.

Market pricing reflects this tension. At 18.5 times forward earnings, Meta trades at a discount to Nvidia (nearly 34 times), but the discount exists precisely because investors doubt the ad business can sustain the costs ahead. The arithmetic is stark: costs grew 55% in the second quarter against 28% revenue growth. Zuckerberg's letter settles the narrative—but not the market's skepticism about whether the math works over time.