When the conversation at the world's most glamorous advertising festival turns skeptical about technology's promises, it is worth paying attention. The Verge sat down with Amy Lanzi, CEO of Digitas North America, at the Cannes Lions advertising festival in the South of France, where Lanzi made a case that artificial intelligence is not the salvation the advertising industry has been telling itself it is.
The timing and the venue matter enormously here. Cannes Lions is the annual gathering where the advertising and marketing industries perform their most optimistic versions of themselves, where holding companies unveil platform partnerships and agencies compete to appear most fluent in whatever technology has captured the cultural moment. For several consecutive years now, that technology has been artificial intelligence. The festival circuit, from CES in January through Cannes in June, has functioned as a relay race of AI enthusiasm, with executives at every stop insisting that generative tools will remake creative work, compress production timelines, and unlock personalization at a scale previously impossible. Against that backdrop, a sitting CEO of a major agency network expressing public skepticism is a meaningful signal, not a contrarian gesture.
Digitas is not a peripheral player. As part of the Publicis Groupe network, one of the largest holding companies in global advertising, Digitas sits close to the center of how large brands think about digital marketing strategy. Lanzi speaking in this capacity, in this location, carries institutional weight. This is not a critic lobbing skepticism from outside the industry; this is someone whose firm sells digital and data-driven marketing services, acknowledging limits that the industry's sales pitch routinely obscures.
The broader context is that advertising has been here before, repeatedly. Each successive technology wave arrives with promises of transformation. Programmatic advertising was supposed to make every impression perfectly targeted and eliminate waste. Social media was going to create authentic connections between brands and consumers that traditional advertising could never replicate. The rise of data clean rooms and identity graphs was meant to solve privacy-safe targeting in a cookieless world. Each of these developments changed the industry in real ways, but none delivered the wholesale reinvention that the most enthusiastic advocates promised, and each introduced its own complications alongside its genuine capabilities.
Artificial intelligence is following a recognizable arc. The genuine capabilities are real: generative tools can accelerate content production, assist with copy variations, help analysts surface patterns in large datasets, and reduce certain categories of repetitive work. The efficiency gains in some workflows are documented and meaningful. What is harder to substantiate is the leap from those operational improvements to the claim that AI fundamentally solves the problems that have always made advertising difficult, which is the question of whether the right message is actually reaching the right person at a moment when they are receptive, and whether that message changes their behavior in a way that persists.
The likely consequences of Lanzi's position, as reported by The Verge, extend in a few directions. For clients, particularly brand marketers who have been subjected to an unbroken stream of AI-first pitches from agencies and technology vendors alike, a voice of tempered realism from inside the industry may provide useful permission to ask harder questions about what exactly they are buying when they invest in AI-enhanced advertising services. For agencies themselves, this suggests the beginning of a possible recalibration, where the competitive advantage shifts from claiming the most aggressive AI adoption to demonstrating measurable outcomes that AI-assisted approaches actually produce.
There is also a talent and organizational dimension worth considering. Agencies have spent the past two years reorganizing around AI fluency, hiring prompt engineers, standing up internal AI practices, and training creative staff on new tools. If the industry's most visible gatherings start producing more skeptical assessments alongside the enthusiasm, it creates pressure on those investments to prove their value in client outcomes rather than in the sophistication of the internal capability itself.
The advertising industry has always been more cyclical in its enthusiasms than it tends to acknowledge, and the Cannes Lions festival, for all its spectacle, often functions as a leading indicator of where the consensus is drifting. That a prominent agency CEO chose this stage and this moment to complicate the prevailing AI narrative is worth noting.
What to watch for next is whether Lanzi's perspective finds echoes among peers at comparable agency networks in the months that follow, and whether client-side marketing leaders begin publicly aligning with a more skeptical framing in their own communications. Also worth tracking is how AI vendors who have been major sponsors of the industry festival circuit respond to growing internal scrutiny, and whether the metrics conversation shifts from capability demonstrations toward attribution evidence that AI-driven campaigns actually move business outcomes in ways that justify their cost.
