- L’Oréal restructured its digital advertising workflow around AI tools, using Google’s Imagen 3, Gemini, and Veo 2 to generate and adapt creative assets at scale.
- The company’s CREAITECH lab now produces localized visuals across 20 EMEA markets, cutting campaign turnaround from weeks to hours.
- A pilot rollout in the Nordic countries delivered a 22% increase in media efficiency and a 14% improvement in campaign effectiveness.
- L’Oréal is building cross-functional teams around AI workflows rather than replacing its existing creative staff.
What Happened
L’Oréal has moved AI-powered content production from pilot programs into full operational deployment across its advertising operations. The company’s CREAITECH lab now uses Google’s Imagen 3 and Gemini to generate localized visual assets for digital campaigns, while Veo 2 converts static product images into eight-second animated clips with video and audio elements trained on brand-specific visual styles.
Mark Lallemand, L’Oréal’s Chief Marketing Officer for Western Europe, described the scale of the transition: “This isn’t experimentation anymore. This is marketing transformation.”
The deployment spans L’Oréal’s portfolio of brands across 20 markets in the Europe, Middle East, and Africa region, with plans to expand to additional geographies before the end of 2025.
Why It Matters
Digital advertising requires constant content refresh across multiple platforms, formats, screen sizes, and geographic markets. For a company of L’Oréal’s scale — operating dozens of brands across more than 150 countries — the production bottleneck has traditionally been the time and cost required to create, localize, and distribute creative assets.
L’Oréal’s approach targets that bottleneck directly. “We used to turn around campaigns in weeks. Now we do it in hours,” Lallemand said. The company allocates more than 60% of its digital advertising budget to social media platforms like TikTok and Instagram, where content lifespan is measured in days and the demand for fresh creative is relentless.
Rather than replacing its creative workforce, L’Oréal is restructuring how teams operate. Lallemand framed the economics clearly: “It’s not about spending more, it’s about spending better.” The company is building new cross-functional units that combine creative, performance marketing, and data operations into integrated teams designed around AI-assisted workflows.
Technical Details
The CREAITECH lab serves as L’Oréal’s central hub for AI-generated advertising content. Antoine Castex, the company’s Group Data and AI Enterprise Architect, explained the localization process: the same product photograph can be placed seamlessly into a Japanese garden, onto a Parisian street, or in any other culturally relevant setting. The AI maintains brand consistency in color grading, lighting, and product positioning while adapting the surrounding environment to resonate with local audiences.
Thomas Alves Machado, L’Oréal’s Global Content Director for Generative AI, oversees the static-to-animation pipeline. Veo 2 produces short animated clips from text prompts, generating video content optimized for vertical-format social platforms where video outperforms static imagery by significant margins in engagement metrics.
On the distribution side, L’Oréal uses Tidal, an automated paid media platform that manages ad placement and budget allocation across channels. A 2023 rollout of the Tidal system in the Nordic countries produced quantifiable results: a 22% increase in media efficiency and a 14% improvement in overall campaign effectiveness, as measured by standard industry attribution models.
In January 2025, L’Oréal also announced a partnership with IBM to develop a custom generative AI formulation model for product development. That system is intended for use by the company’s more than 4,000 researchers globally.
Who’s Affected
The transition directly affects L’Oréal’s marketing and creative teams across its Western European operations and the 20 EMEA markets where the CREAITECH lab now produces assets. Teams are being retrained around AI tools rather than downsized, with new hires specifically recruited for AI-augmented creative and data roles.
For the broader advertising and consumer goods industries, L’Oréal’s deployment signals that major brands are moving past AI experimentation and into scaled production. Competitors face mounting pressure to adopt similar workflows or accept disadvantages in production speed, content volume, and cost efficiency.
What’s Next
L’Oréal plans to expand the AI-powered production model to the United Kingdom and Australia by the end of 2025. The rollout includes structured governance workflows covering environmental impact assessment, data usage limits, and internal ethics guidelines for AI-generated content. The primary constraint remains ensuring that AI-generated advertising stays within defined brand standards and legal requirements — particularly around product claims and model imagery — as production scales into markets with different regulatory environments.
