Former Mastercard CMO Calls AI a Golden Era for Marketing

Former Mastercard chief marketing and communications officer Raja Rajamannar told Business Insider's podcast that "This is the golden era that we are about to enter as far as marketing is concerned." Rajamannar, who held the CMO role for nearly 13 years before transitioning to a Senior Fellow position at Mastercard in 2025, framed AI as both a threat and an opportunity. Per Business Insider, he said the technology can automate creation of images, video, and copy and could replace work previously done by larger teams, while also raising the stakes for brand quality. He described low-quality automated content as "AI slop" and warned marketers to guard against it.

Industry observers note that rapid improvement of generative models has lowered the marginal cost of producing visual and written assets. For practitioners: widespread availability of template-driven image and copy generation increases experimentation velocity but also raises operational needs for prompt engineering, quality control, and brand-safety pipelines. Companies adopting AI-heavy creative workflows typically pair generative systems with human-in-the-loop review to reduce noisy outputs and maintain brand standards.

Rajamannar's remarks land within a broader marketing debate where vendors and agencies emphasize scale and personalization while critics warn about commodified, low-fidelity creative work. Observed patterns in similar transitions show a renewed premium on creative leadership, narrative strategy, and audience insight - because these elements are harder to replicate reliably with out-of-the-box generative outputs.

For practitioners: track how teams balance automation and creative governance - whether through role changes (e.g. more creative directors and fewer routine production roles), adoption of content-quality metrics, or investment in tooling that enforces brand guidelines. Also watch for emerging toolchains that combine prompt/template libraries, automated filtering, and short human-review cycles to reduce low-quality outputs.