Ogilvy Spain's CEO: 'AI Belongs to the Past — Humans Own the Future of Advertising'

Jordi Urbea, CEO of Ogilvy Spain, has a clear-eyed view of artificial intelligence in advertising: it is a powerful tool, but one that operates entirely in reverse. While AI can analyze mountains of historical data and deliver hyper-personalized campaigns at unprecedented scale, it fundamentally cannot do what creative professionals do every day — imagine something that has never existed before.

Urbea shared these views during an interview with BeInCrypto at the Ibiza Tech Forum 2026, where he appeared not as a skeptic warning against AI adoption, but as a daily user of the technology who has drawn careful conclusions about where its usefulness ends.

**Personalization at Scale: The Real Promise of AI in Marketing**

Leading one of Spain's largest advertising agencies — a firm operating within the global WPP network — Urbea has firsthand experience deploying AI across major brand campaigns. He describes the shift in production capability as transformative. Where traditional campaigns might yield one or two finished films, AI enables something radically different.

"With AI, I have the capacity to create one ad for each person," he explained.

The economics behind this ambition are compelling. Research from Bain & Company indicates that retailers leveraging AI-driven personalization achieve 10% to 25% higher return on ad spend. Meanwhile, approximately 65% of senior executives now identify AI personalization as a top-tier growth driver for their organizations.

Yet scale introduces its own vulnerabilities. Studies show that 71% of consumers expect personalized experiences, while 76% express frustration when those experiences fall short of expectations. That gap, Urbea argues, is precisely where human creativity becomes non-negotiable.

**The Boundary AI Cannot Cross**

For Urbea, data tells only part of the story. AI can reconstruct behavioral patterns from the past, but it cannot predict the emotional trigger that will make someone choose one brand over another tomorrow.

"AI is thousands and thousands of data points and information about people. That's very important for analyzing what's possible to make for each one. But to truly touch the heart of a person, you have to discover the real language they're ready to hear," he said.

He then offered what he considers the defining distinction between machine intelligence and human creativity: "AI works with the past, but creativity works with the future. That's the key point."

Academic research supports this framing. A study from the University of California, Berkeley, concluded that generative AI essentially recombines data it was trained on — remixing history rather than breaking from it. A separate 2025 paper went further, identifying a mathematical ceiling that constrains AI to amateur-level creative output. According to its authors, high-level creativity will remain a human domain until an entirely new architectural approach to AI emerges.

Urbea is unambiguous about where he stands: "I'm completely sure it's impossible for AI to replace that. 100% sure."

This confidence is reinforced by consumer behavior research showing that emotional advertising is judged as less authentic when audiences learn it was AI-generated — with measurable drops in engagement, even when the content itself remains unchanged. The issue is one of trust, not quality.

**The Rose and the Chocolate Cake**

To illustrate the danger of optimizing without creativity, Urbea offered a domestic analogy that captures the problem with algorithmic thinking in advertising.

"Imagine you're at home with your partner, and every day you give her a rose and a chocolate cake. The algorithm says she likes the rose and the cake, so every day you give her the same thing. I'm completely sure that by day 20, the message you'll get is: 'Okay, there's more to life than roses and chocolate cakes. A little creativity, please. Surprise me.'" he said.

Advertising science backs up the parable. Repetitive, low-creativity campaigns experience wear-out rapidly, particularly for lesser-known brands. By contrast, highly creative advertising tends to wear in — building audience connection over time and resisting fatigue even after repeated exposure.

It is worth noting that newer research suggests ad wear-out can diminish over extended periods, meaning repetition is not always fatal. Still, Urbea's point stands as a meaningful tendency with practical consequences for brand strategy.

His sharpest warning is reserved for brands that default to imitation. "When everyone repeats the same formula, your brand disappears. You're a big ship lost in the night," he said.

**Dividing the Work Between Humans and Machines**

Urbea's framework offers a practical guide for marketers navigating AI adoption. Let the technology do what it does best: analyze behavioral data, personalize delivery, and scale content production with efficiency no human team could match.

But the originating idea — the surprising angle, the emotional resonance, the voice that makes a brand distinct — must come from people. AI can amplify a creative concept across millions of touchpoints. It cannot conceive that concept in the first place.

As artificial intelligence continues to reshape the marketing industry and the broader workplace, Urbea's division of labor offers a clear and testable boundary. Machines handle the past. The future still belongs to humans.