WPP, R/GA Detail AI Workflow Integration
Leaders at WPP and R/GA have detailed their integration of AI into core agency workflows. WPP’s Global Head of Production stated the company runs entire video versioning cycles through a single AI pipeline. R/GA's CTO described an internal tool where AI generates campaign concepts and moodboards directly from a client brief to accelerate ideation.
- WPP’s AI engine is built in partnership with NVIDIA, using its Omniverse platform to create "digital twins" of client products. This allows creative teams to produce video and 3D product configurators from a single set of assets, significantly reducing the need for physical shoots. - R/GA recently launched a proprietary AI Search Optimization (ASO) platform to help brands analyze and improve their visibility in generative AI search results from tools like Google Gemini, Perplexity, and ChatGPT. - While AI often focuses on high-fidelity visuals, many brands are adopting a "lo-fi" content strategy, using raw, unpolished, and user-generated style content to build trust and authenticity, particularly with younger consumers. This approach is often more agile and cost-effective, thriving on platforms like TikTok where it feels native and less like a traditional advertisement. - Dynamic Creative Optimization (DCO) is a key AI application in production pipelines, automatically generating and testing thousands of ad variations by combining different images, headlines, and calls-to-action to personalize creative for specific audience segments in real-time. - The conversation around AI in creative isn't just about efficiency; it's also about brand values. For its "The Code" campaign, Dove used AI to highlight the technology's inherent biases and pledged to never use AI to create or distort images of women in its advertising. - For CMOs, the focus of AI adoption is shifting from experimentation to measurable business outcomes, with an emphasis on tying AI initiatives to revenue and customer lifetime value. Leaders are expected to build AI-native operating models that blend human and AI collaboration, rather than simply adding AI tools to existing legacy workflows. - The rise of accessible AI tools is impacting agency business models, putting pressure on traditional billable hours and raising the possibility of clients in-housing more routine creative production tasks. This is leading to a greater emphasis on agencies providing high-level strategy, brand stewardship, and complex technological integration. - Fashion brand Mango provides a case study in end-to-end AI workflow, creating a campaign for its teen line that was generated entirely with AI. The process involved shooting real photos of the clothing, training a model to place the garments on AI-generated models, and then having the internal photography studio retouch and master the final images.
