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Chatbots Behaving Badly™

Meta’s AI Ad Fantasy - No Strategy, No Creative, No Problem. Simply Pug In Your Wallet

By Markus Brinsa  |  May 17, 2025

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In his recent Stratechery interview, Mark Zuckerberg laid out Meta’s AI-powered advertising vision—and honestly, if you squint, it sounds a lot like satire. According to Zuckerberg, the future of advertising will be so effortless, so automated, that you, the humble business owner, won’t need to know anything. Not your customers, not your demographics, not your messaging.

Just show up, link your bank account, and say something like: “I’d like to sell more stuff, please.”

No creative? No problem. No targeting? Don’t worry about it. No idea what your audience even wants? Who cares! Meta’s AI will handle it all. You just define your “business outcome,” state how much you’re willing to pay, and wait while the Great Algorithm in the Cloud goes to work.

It’s a charming little fantasy. And by “charming,” I mean absolutely bonkers.

Let’s pause and unpack what’s actually being proposed here. Because under the hood of all this AI optimism is a big, gaping logic hole shaped like a dollar sign. Zuckerberg says: just tell Meta your desired outcome and how much you’re willing to pay for it. But here’s the question no one seems to be asking: what happens when your outcome and your budget live in two different galaxies?

Imagine you walk into a car dealership and say, “I’d like a brand-new Ferrari, and I’m willing to pay… $600.” The salesperson laughs you out of the showroom. But in Zuckerberg’s vision, Meta’s AI doesn’t laugh. It just nods politely and starts spending your $600—probably on display ads for expired bread—until it runs out of gas. There’s no mention of how the system balances expectations against reality. Will it negotiate? Will it tell you, “Sorry, Dave, that’s not how this works”? Or will it gamely plow ahead, burning your budget while quietly deciding your dream outcome is unachievable?

And here’s where things get weird: Meta claims it built the system starting with “measurement.” But what exactly is it measuring?

If you didn’t define the creative, the targeting, or the spend pacing, and the AI came up with it all… then Meta is effectively grading its own homework. “Look, we gave you results!” says Meta. But how do you know those results wouldn’t have happened anyway? What if your sales bump came from a TikTok you didn’t even know was going viral? Or the fact that it rained and people stayed home and shopped online?

Without visibility into how budget translates to action, measurement becomes a magic trick: “We got you business outcomes! Trust us.” And that’s the part that should make every marketer and business owner nervous.

Because when you’re locked out of the strategy room, you’re also locked out of accountability.

Zuckerberg calls this “the ultimate business agent.” But agents are supposed to represent you. This version feels more like a bank drain in a hoodie—one that makes executive decisions on your behalf and sends you a neat little report at the end that says: “Don’t worry. It was totally worth it.”

To be fair, some parts of this vision are coming true. Meta is already moving toward creative automation, algorithmic targeting, and outcome-based bidding. But the full package—the bank-account-plugged, brain-off advertising utopia? That’s not AI. That’s faith-based marketing.

So before you hand over your budget and pray to the ZuckBot, maybe ask a few old-school questions: What’s the strategy? What’s the offer? And what happens when AI’s version of “success” and yours don’t quite match? Because if you don’t ask, don’t worry—Meta’s AI will definitely spend your money anyway. Whether it earns it back? Well… let’s just say that part’s still in beta.

About the Author

Markus Brinsa is the Founder and CEO of SEIKOURI Inc., an international strategy consulting firm specializing in early-stage innovation discovery and AI Matchmaking. He is also the creator of Chatbots Behaving Badly, a platform and podcast that investigates the real-world failures, risks, and ethical challenges of artificial intelligence. With over 15 years of experience bridging technology, business strategy, and market expansion in the U.S. and Europe, Markus works with executives, investors, and developers to turn AI’s potential into sustainable, real-world impact.

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