The AI Super Bowl Ads Weren’t the Real Story. The Real Story Was Who Sat It Out

By Franklin Rios, CEO of Next Net

Did you notice who was missing from the AI ad showdown during the Super Bowl?

Anthropic and OpenAI both used the biggest advertising stage of the year to define themselves in the emerging AI arms race. But Google – arguably the company with the most at stake in the ad-supported future of AI – didn’t run a dedicated AI ad at all. Google’s absence may have been a signal.

The Super Bowl creative from Anthropic and OpenAI revealed more about their business models than their technology. Anthropic leaned into positioning that bordered on hostility toward advertising, reinforcing its subscription-first approach. Claude is framed as a tool you pay for to produce tangible output: code, structured work, refinement. It’s a premium utility model. Advertising isn’t central to Anthropic’s narrative.

OpenAI, meanwhile, finds itself in a more complex position. ChatGPT is largely free, but its path to meaningful advertising revenue remains uncertain. Reports of a $200,000 minimum spend to advertise inside its ecosystem signal both ambition and caution. At that price point, the ad is designed for control rather than scale. A high barrier to entry functions as brand safety infrastructure, ensuring only major, sentiment-stable brands appear in a context where outputs can be unpredictable.

That approach suggests a company still feeling its way through monetization while managing massive infrastructure costs and a burn rate that subscriptions alone likely won’t offset. OpenAI is building for the future, but its advertising model remains nascent and carefully gated.

Now consider Google. Google doesn’t need to introduce itself to the ad market. It already operates the infrastructure the market runs on. YouTube. DV360. AdX. Chrome. Search. Commerce signals. Logged-in user data. Agency relationships that have been cultivated over decades. If AI becomes ad-supported at scale – particularly in the form of AI search and AI-generated responses with embedded citations – Google doesn’t need a flashy brand reset. That’s the quiet advantage.

While competitors use mass media to signal their arrival, Google can embed AI into existing pipes. It can layer generative capabilities onto YouTube inventory. It can integrate AI-enhanced search experiences into performance campaigns. It can extend buying tools agencies already use. It can test AI citation formats within a monetization system that already works. From an agency perspective, that matters more than cinematic storytelling.

There’s also a deeper strategic contrast at play. Anthropic appears positioned to win developer mindshare and subscription loyalty. OpenAI is balancing consumer ubiquity with infrastructure scale and monetization experimentation. Google, however, is uniquely positioned to win the ad-supported AI economy because it already owns both demand and supply at scale.

If AI search evolves into a citation-driven ecosystem where brands compete for visibility within generative responses, the company that controls distribution, advertiser access and measurement will have a structural advantage. Google already works with holding companies inside established buying sandboxes. It doesn’t need to invent an ad ecosystem.

That may explain the Super Bowl silence. A splashy AI ad would have suggested a company trying to reintroduce itself. Instead, Google can afford to let others define categories publicly while it integrates AI privately across properties that agencies already transact on daily.

The Super Bowl spots weren’t just brand campaigns. They were disclosures of business models. For marketers watching the AI race, the takeaway is which company is structurally positioned to monetize AI at scale.

And sometimes, the loudest signal is restraint.

Tags: AI