Artificial Intelligence Will Give Advertising Microscopic Precision
Jeremy Hlavacek has spent decades helping major companies understand how digital advertising actually works. He has run programmatic advertising operations for organizations like The Weather Channel, IBM Watson, and Experian.
That gives him a front-row seat to one of the biggest transformations in modern business: the evolution of advertising from broad guesswork into something approaching microscopic precision.
On Camber Creek’s Catalyst podcast, Hlavacek explained how advertising evolved through several distinct phases and why the next phase, powered by artificial intelligence, may be both the most powerful and the most uncomfortable yet.
Direct Mail and Demographics
Long before digital advertising, marketers still relied heavily on data.
Credit card companies, automakers, and retailers used mailing lists, census information, and demographic research to decide which households should receive offers. If you lived in an affluent ZIP code, owned a home, or registered a car, marketers could make educated guesses about what products might interest you.
But targeting remained relatively blunt. Advertisers knew broad categories about people, not their moment-to-moment behavior. The goal was scale, not precision.
The Internet Changes Everything
The rise of the internet in the late 1990s and early 2000s fundamentally changed the game.
Companies like Google, Amazon, and eventually Facebook created entirely new environments where consumer behavior could be observed continuously.
For the first time, advertisers could see what people searched for, what they clicked, where they spent time, and what they bought online.
“The amount of data that’s out there,” Hlavacek explained, “and the sophisticated ways that it’s used by giant tech companies… is really, really impressive.”
Advertising became less about demographics and more about behavior.
Cookies, Tracking, and Prediction
The next leap came through cookies and other tracking technologies.
Originally, cookies served simple functions. They remembered login credentials or customized website settings. But advertisers quickly realized those same tools could also help map consumer habits across the web.
Over time, companies became astonishingly good at prediction.
That is why people increasingly feel their phones are “listening” to them even when they are not. The systems are simply processing enormous amounts of behavioral data so effectively that the predictions can feel eerie.
Hlavacek’s explanation is simple: companies are not secretly recording conversations, but AI-powered algorithms are becoming extraordinarily good at educated guesses.
“The pace of change is accelerating,” he said.
The result is an advertising ecosystem that often knows what consumers want before consumers consciously realize it themselves.
Artificial Intelligence and Microscopic Precision
Artificial intelligence is now pushing advertising into another era entirely.
Instead of merely reacting to user behavior, AI systems increasingly predict intent, optimize messaging in real time, and personalize experiences at scale. Large language models and recommendation systems can synthesize thousands of data points simultaneously.
Hlavacek believes the implications are enormous.
Advertising platforms are no longer just helping brands target audiences. They are becoming systems capable of shaping entire consumer journeys dynamically.
Retail media networks, advertising systems built by companies like Walmart and Amazon using their own shopper data, are part of this shift. Unlike traditional digital ads, these systems do not just know what consumers browse. They know what consumers actually buy. Combined with artificial intelligence, that creates a level of precision advertisers could only dream about a decade ago.
That power explains why companies like OpenAI entering advertising has become such a major industry event. Once consumer attention gathers around a platform, advertising almost inevitably follows.
But Hlavacek repeatedly returned to a more important question: not whether companies can do something, but whether they should.
The Line Between Personalization and Surveillance
Throughout the conversation, Hlavacek emphasized that digital advertising still contains a deeply human element.
“You may know something about someone,” he said, “but is it really polite or in good taste to bring up that point?”
That distinction matters because consumers increasingly feel uneasy about how much companies know.
Hlavacek believes the industry needs stronger guardrails, more transparency, and more thoughtful regulation. The future of advertising may not be constrained by technology. It may be constrained by trust.
Listen to the full conversation on the podcast.