Stories
How Generative AI is Force-Resetting Agency-Client Deals and Retainers
- •Generative AI is shifting high-volume marketing content production like localisation, resizing, and social assets from traditional agencies to in-house brand teams.
- •Industry experts estimate that 40 to 50 percent of routine content production could move to AI-enabled brand capabilities over the next 12 to 24 months, cutting production costs by up to 30 percent.
- •Traditional production retainers tied to asset volume are coming under intense pressure as the cost per variation collapses, forcing agencies to focus on upstream strategy and creative ideas.
- •Brands like Piramal Finance are building internal AI infrastructures backed by proprietary customer data and institutional knowledge, adopting a hybrid model where external talent injects fresh perspectives.
Key Questions Answered
Generative AI is automating high-volume execution tasks like localization, resizing, and social asset creation, putting traditional production retainers under severe pressure. As a result, the large execution layer sitting beneath central creative ideas is thinning out, with agencies increasingly being valued for upstream strategic thinking while clients bring routine production in-house.
Industry leaders estimate that roughly 40% to 50% of high-volume content production and adaptation work will realistically transition into AI-enabled brand capabilities over a 12-to-24-month horizon. Piramal Finance specifically expects about half of its content adaptation work to move closer to or inside its internal marketing setup.
Brands are bringing production infrastructure in-house to efficiently manage massive campaign scales, such as Piramal's cricket-season campaign requiring 2,000 unique creatives across multiple locations and languages. The ultimate defensible advantage lies in feeding proprietary customer data, historical campaigns, and institutional knowledge into AI systems, ensuring internal context compounds over time.
