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FORUM S4 Capital chairman says AI forces business reset, calls for faster execution

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Martin Sorrell urges firms to prioritize speed, automation, measurable business outcomes

Martin Sorrell, chairman of S4 Capital and founder of WPP, delivers a keynote speech remotely for The Korea Times Forum at the Korea Chamber of Commerce and Industry in Seoul, Tuesday. Korea Times photo by Shim Hyun-chul

Martin Sorrell, chairman of S4 Capital and founder of WPP, delivers a keynote speech remotely for The Korea Times Forum at the Korea Chamber of Commerce and Industry in Seoul, Tuesday. Korea Times photo by Shim Hyun-chul

Martin Sorrell, chairman of S4 Capital and founder of WPP, the world's largest advertising and marketing services company, warned Tuesday that traditional business models built on scale, global reach and cheap capital are no longer fit for an era where artificial intelligence (AI) is forcing a “structural reset,” urging companies to redesign their operating models around speed, automation and AI-driven execution.

Speaking at The Korea Times Forum, co-hosted by GR Korea and held in Seoul under the theme "Made in Korea: Global and AI enablement," Sorrell said businesses are facing a permanent shift rather than a cyclical disruption as geopolitical tensions, industrial policy and technological competition reshape global commerce. The event was co-hosted by GR Korea.

“For years, global business leaders operated in a world of highly optimized globalization — frictionless supply chains, low inflation and expansion defined largely by scale and capital access. That world has fundamentally changed,” Sorrell said during his keynote speech.

He noted that geopolitical fragmentation, the resurgence of industrial policy and intensifying competition in AI and semiconductors are driving a structural shift that is reshaping trade, capital allocation and corporate strategy. As a result, companies that cling to legacy operating models designed for slower, more predictable markets risk being left behind.

“This is where agentic AI becomes transformative — not as an efficiency layer, but as a structural reset,” he said.

“Agentic systems do not simply optimize workflows; they begin to replace entire sequences of human-dependent production. Audience modeling, creative variation, localization, performance iteration — these are no longer sequential human tasks.”

The chairman contrasted the emerging AI-driven model with conventional marketing structures that still rely heavily on sponsorships, event partnerships and broad awareness campaigns that are difficult to measure and often disconnected from business outcomes.

He said marketing organizations in particular remain locked into predigital 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.

Sorrell 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.

He noted that AI is accelerating this transition by compressing production cycles that historically required multiple agencies, manual coordination and lengthy approval processes.

“This is what we call the 'Whopper Effect' — shifting global workflows 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 said.

He added that the shift is exposing a growing gap between companies experimenting with AI and those deploying it at scale, warning that businesses must act preemptively before inefficiencies become structural disadvantages.

He called for a fundamental redesign of how organizations structure cost, incentive systems and delivery models.

“True transformation requires reengineering operating models, cost structures and incentive systems — not just adopting new tools,” he said. “It requires moving from time-and-materials economics to outcome and usage-based systems. From fragmented regional execution to unified global platforms. From manual production to agentic orchestration.”

Sorrell pointed out that Korea as uniquely positioned to lead this transition, citing its advanced digital infrastructure and engineering talent, urging companies to leverage that foundation to build 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.”