Ammar Sabilarrohman
For two decades, the Cannes Lions International Festival of Creativity has served as the advertising industry’s high church—a place where the gospel of the “killer creative idea,” the viral stunt, and the emotional campaign were preached to the global elite. However, if one wanders through the villas and beach cabanas of the Croisette this year, the tone has shifted. The buzz isn’t about the next award-winning television spot or the most daring guerrilla marketing tactic. Instead, the discourse has pivoted toward a less glamorous, far more foundational topic: brand infrastructure.
In an era where Artificial Intelligence (AI) acts as the primary intermediary between a brand and its consumer, the industry is waking up to a stark reality: AI systems do not care about media plans. They care about data, consistency, and authority. As the industry grapples with this shift, marketers are finding that their greatest challenge is no longer just standing out in a crowded market—it is being understood by the machine.
The Core Challenge: Brand Coherence in the Age of LLMs
The traditional model of digital marketing was built on the assumption that a brand could “buy” its way to prominence. If your PR, product pages, and social media presence told slightly different stories, search engines were often forgiving; you could simply optimize your way to the top of the results page.
Large Language Models (LLMs) operate under a different set of rules. They do not rank content based on paid placement or clever keyword stuffing. Instead, they synthesize disparate data points—SEO, public relations, product specs, and customer reviews—into a single, unified "truth" about a company. If a brand lacks coherence, the machine will highlight the contradictions, presenting them directly to the user.
"The job isn’t optimizing one channel anymore," noted one media executive at the festival. "It’s making sure every function is pointed at the same message because the model doesn’t know or care which team owns which piece."
This is no longer just an "SEO problem." It is a fundamental crisis of brand identity. If a company cannot provide a consistent, machine-readable version of its own narrative, it risks being misrepresented or ignored entirely by the AI systems that modern consumers increasingly rely on for recommendations.
The Evolution of Search: From Clicks to Citations
The shift from traditional search to AI-driven discovery has effectively changed the objective of digital marketing. Franklin Rios, CEO of the AI-driven SEO firm Next Net, argues that the industry is still stuck in a legacy mindset.
"The industry is still treating AI visibility like an extension of SEO, but it’s becoming a distinct layer of digital infrastructure," Rios explains. "For two decades, marketers optimized for impressions and clicks. Now, they’re competing for citations, trust signals, and machine-readable authority. LLMs surface brands that are the easiest for AI systems to verify and understand."
This new environment creates a split in the discipline of brand-building. Marketers are finding themselves forced to write two distinct versions of their brand:
- The Human-Centric Narrative: Content designed to inspire, persuade, and build emotional trust with consumers.
- The Machine-Readable Infrastructure: Highly structured, accurate, and consistent data points that allow an AI agent to verify the brand’s claims.
The danger, as highlighted by Amanda Forrester, SVP of marketing and communications at OpenX, is that these two objectives often pull in opposite directions. "Winning hearts and minds is not the same as being understood by AI," Forrester notes. "A campaign can build real awareness with a human audience and still be invisible, misread, or mistimed when an agent is doing the interpreting."
CMOs and the "How" Problem: A Crisis of Execution
Amidst this technological upheaval, the most common refrain from CMOs at Cannes is a simple, desperate question: How?
Donna Sharp, Managing Director of MediaLink and a partner at UTA, has spent the festival in a whirlwind of back-to-back meetings with marketing leaders. She notes that while the questions vary—how to build an AI stack, how to audit media budgets for hidden leakage, how to train staff to use agents—they all stem from a single, overarching anxiety about their evolving role.
"They are so focused on the ‘how’ that they are losing sight of what they are actually building toward," Sharp says.
The Data Gap: Why Strategy Still Lags
The divide between the desire for AI integration and the ability to execute is profound. A recent Boston Consulting Group (BCG) study of 300 CMOs revealed that while 96% believe AI is fundamentally transforming marketing, only one-third have actually overhauled their workflows, operating models, or talent strategies to capitalize on it.
The data suggests that the barrier is not the technology itself, but the organizational inertia required to deploy it effectively. About half of the surveyed CMOs indicate that marketing now leads AI investment decisions, yet many remain trapped in a risk-averse cycle.
Laurel Burton, CEO of the agency Instrument, argues that this risk aversion is the true enemy of innovation. "A lot of CEOs and CMOs are being held to metrics," Burton says. "And when those metrics can be met with mediocrity, there’s no incentive for creativity. True innovation will happen when the C-suite understands that a metric isn’t the way a business advances."
A Case Study in Modern Logic
Despite the pervasive uncertainty, some are finding concrete ways to bridge the gap. One consultant at the festival described a strategy where they moved away from the "big country, big budget" logic that has defined global marketing for decades.
By utilizing AI-search analytics to measure a brand’s "share of voice" in Google and Amazon results against actual regional market share, the agency was able to create a data-driven framework for budget allocation. This move wasn’t about a flashy creative campaign; it was about using AI to uncover where the next dollar of media spend would yield the highest return. It is a small, technical victory, but it provides a roadmap for how marketers can move from "guessing" to "calculating."
Governance and the Future of AI-Generated Creative
As the industry experiments with generative AI for creative output, the conversation has moved toward the necessity of oversight. Hannah Mirza, CEO of The Responsible Marketing Agency, emphasizes that the goal is not to debate whether to use AI, but to use it in a way that is defensible.
"The brands getting this right aren’t the fastest movers; they’re the ones who established governance and full oversight before they pushed the button," Mirza explains. The implication is clear: as AI-generated creative becomes the standard, the liability for "hallucinations" or brand-inconsistent messaging falls squarely on the shoulders of the marketing department.
Implications: The New Marketing Mandate
As the Cannes Lions festival concludes, the takeaway for the industry is clear: the era of the "siloed" marketing channel is over. The new mandate for CMOs is to act as architects of digital infrastructure.
To succeed in an AI-dominated landscape, brands must:
- Prioritize Structural Integrity: Ensure that the data underlying their brand—product descriptions, pricing, company history, and values—is consistent across every digital touchpoint.
- Embrace "Machine-Readable" Authority: Shift focus from mere clicks to earning citations and trust signals that AI models can verify.
- Rebuild Workflows: Move past the "pilot program" phase of AI and integrate it into the foundational operating model of the organization.
- Balance Human and Machine: Maintain the human-centric narrative that drives emotional connection while building the structural clarity that drives algorithmic visibility.
The "quiet" work happening behind the closed doors at Cannes this year is, in fact, the most important work in the history of the modern advertising industry. The glamorous stunts may continue to win the awards, but the brands that survive the next decade will be those that have mastered the art of being both human-persuasive and machine-legible. The age of the campaign is giving way to the age of the ecosystem, and for the CMOs of tomorrow, there is no going back.
Nana
Raul Delapena Setiawan
