Sir Martin Sorrell, the former head of the advertising behemoth WPP and current chairman of S4 Capital, took to the stage at the Korea Times Forum in Seoul to issue a stark warning: the age of scale‑driven, capital‑heavy business models is over.

The forum, co‑hosted by GR Korea and themed "Made in Korea: Global and AI Enablement," gave Sorrell a platform to explain how artificial intelligence is forcing a structural reset across industries. He framed the present moment as one of permanent change rather than a temporary shock, pointing to geopolitical fragmentation, the return of industrial policy, and heightened competition in AI and semiconductor markets as the forces reshaping trade, capital allocation and corporate strategy.

"The world of highly optimized globalization—frictionless supply chains, low inflation and expansion driven by scale and capital access—has fundamentally changed," Sorrell said. He argued that the old playbook no longer fits the realities of a rapidly evolving global landscape.

Central to his message is the rise of agentic AI. Unlike traditional automation tools that simply streamline workflows, agentic systems can replace entire sequences of human‑dependent production. He cited audience modeling, creative variation, localization and performance iteration as tasks now handled by autonomous agents. In contrast, conventional marketing structures—reliant on sponsorships, event partnerships and broad awareness campaigns—remain difficult to measure and often disconnected from concrete business outcomes.

Sorrell stressed that marketing organizations are still locked into pre‑digital architectures, unable to keep pace with real‑time platforms that now mediate most consumer attention and demand. "The shift required is from visibility to verifiable impact— from awareness‑led spending to system‑led execution," he said. Companies are increasingly restructuring marketing operations into standardized systems that can be deployed globally, rather than relying on fragmented local teams and disconnected creative processes.

AI is accelerating this transition by compressing production cycles that historically required multiple agencies, manual coordination and lengthy approval processes. Sorrell coined the term "Whopper Effect" to describe the shift from manual limits of 1.2 million assets to an automated scale of over 50 million assets, aligning 70 percent of digital media spend directly with platform algorithms.

He warned that the gap between companies experimenting with AI and those deploying it at scale is widening. "Businesses must act preemptively before inefficiencies become structural disadvantages," he said. The chairman called for a fundamental redesign of how organizations structure cost, incentive systems and delivery models. True transformation, he argued, requires moving from time‑and‑materials economics to outcome and usage‑based systems, from fragmented regional execution to unified global platforms, and from manual production to agentic orchestration.

Sorrell highlighted Korea as uniquely positioned to lead this transition. The country’s advanced digital infrastructure and engineering talent provide a foundation for building AI‑native operating models at scale. "Physical boundaries matter less when operational speed becomes the defining constraint," he said. "In that world, advantage belongs to organizations that are flat, connected and capable of continuous execution."

The remarks arrive amid a broader industry scramble to integrate AI into core operations. While no specific product launches or regulatory developments were detailed, the speech underscores the urgency for companies to rethink their operating models. AI is no longer a peripheral efficiency tool; it is reshaping the very structure of global marketing and business execution.

In sum, Sorrell’s address is a call to action for enterprises worldwide. Those that adopt AI‑driven, agentic systems and redesign their cost and incentive structures will be better positioned to navigate the new geopolitical and technological landscape. Firms that remain anchored to legacy models risk falling behind as the industry moves toward unified, automated, and outcome‑focused operations.