The 30-Year Model is Breaking

Advertising has worked the same way since banner ads in 1994: capture attention, influence decisions, measure clicks. That assumption is dying.

Google's AI Overviews now reach 1.5 billion users. ChatGPT crossed 800 million weekly users. And AI answer boxes cut click-through rates by 70%. Not a typo. Seventy percent.

When someone asks "best wireless earbuds under $100," they used to get a page of links. Now they get an answer. No scrolling. No sponsored results fighting for position. The ad never gets seen.

The Amazon-Perplexity War is the Canary

Amazon sued Perplexity in November 2025. Not over some abstract IP claim — over Perplexity's Comet browser letting AI agents complete purchases on Amazon.com.

Think about what that means. A user tells Comet: "Buy me running shoes, size 11, under $150, good arch support." The agent searches Amazon, finds options, compares reviews, and checks out. No browsing. No sponsored product impressions.

Amazon has blocked 47 AI bots from crawling its site. All the major players — OpenAI, Google, Anthropic, Meta. They're building a wall around their $56 billion ad business because they see what's coming.

Amazon doesn't want transactions. Amazon wants influence. They want to show you six sponsored results before you find what you need. They want your browsing data to feed the recommendation engine.

Agents don't browse. Agents just optimize.

The Fundamental Problem: Agents Don't Have Eyeballs

The entire advertising industry is built on human psychology. Attention. Emotion. Impulse. Brand recall. Social proof.

None of that works on an AI agent.

When a human shops, they're susceptible to a beautiful product photo, a limited-time discount banner, a "bestseller" badge. When an agent shops, it parses structured data, weighs review scores, compares specs, and picks the optimal choice.

So how do you advertise to a machine?

The early data suggests agents care about review counts and average ratings, structured product data, inventory and pricing accuracy, and authority signals — citations in training data, backlinks, brand mentions.

Notice what's missing? Creative. Emotional appeal. Brand storytelling. The stuff agencies have built empires on.

Three Futures for Advertising

Scenario 1: Retailers keep control. Amazon, Walmart, and Shopify syndicate their product feeds and ad inventory into AI assistants. The agent becomes infrastructure. Brands still bid for placement through the retailer's DSP.

Scenario 2: AI platforms build their own ad layer. OpenAI, Perplexity, and Google decide the discovery moment inside agent responses is too valuable to give away. Brands bid directly for "agent recommendations."

Scenario 3: Hybrid chaos. Some mix of both, with different protocols for different platforms. We're probably headed for #3.

The New Metrics

Impressions and CTR are going to look quaint. What's replacing them: share of AI recommendations, citation frequency, agent conversion rate, influence over agent behavior.

The companies winning this game aren't running better ad campaigns. They're optimizing their data for machine parsing.

The Uncomfortable Truth

Advertising as we know it — the creative, the campaigns, the media buys, the brand storytelling — might be entering a long decline. Not dying tomorrow. But structurally weakening as agents eat more of the discovery layer.

The question I keep asking: what would JARVIS recommend? Because increasingly, that's the buyer.

Related reading

• Product Discovery Is Changing. Most Brands Aren't Ready — The product-level response to the same shift: how to structure your data for agents.

• SEO in 2025: Optimizing for Humans and AI Agents — Practical steps to make your content visible to both audiences.

• I've Been at Every Major Platform Shift Since 2015 — Why this feels familiar — and what the people who build during Phase 3 end up with.