AI Will Destroy Corporate Knowledge Hoarders and Slash Manual Ad Work, Says Sir Martin Sorrell

Artificial Intelligence is poised to dismantle corporate power bases built on information hoarding while slashing manual labor across the advertising industry, according to S4 Capital founder and former WPP chief executive Sir Martin Sorrell.

Sorrell argues that AI will radically flatten corporate hierarchies by stripping managers of control over proprietary knowledge—a practice long used in multi-brand, siloed corporations to maintain internal influence. In an ecosystem where algorithmic tools democratize data access across organizations, executive power will shift toward leaders who actively share information rather than control its flow.

While OpenAI CEO Sam Altman previously suggested AI could replace up to 95% of marketing and campaign creation roles, Sorrell dismisses that figure as overly destructive while acknowledging that massive efficiency gains are imminent. The traditional agency business model—historically reliant on prolonging project timelines and shooting campaigns in expensive locations to maximize billable hours—is yielding to cheaper, AI-driven production workflows already embraced by picky sectors like automotive manufacturing.

Drawing a direct parallel to Wall Street asset management firms like BlackRock, led by Larry Fink, where automated algorithmic trading dominates, Sorrell notes that the advertising sector remains bottlenecked by manual execution. An estimated 250,000 media planners and buyers, predominantly 25-year-old industry workers, continue to execute campaigns semi-manually or wholly manually—a operational structure that cannot survive in a landscape driven by tech hyperscalers.

Despite widespread economic anxiety—highlighted by a Reuters/Ipsos poll showing 50% of U.S. adults fear AI-induced job loss—Sorrell characterizes AI as “the internet on steroids.” Just as early web adoption drove the marginal cost of information toward zero, AI provides unprecedented data access across governments, universities, and businesses. However, this shift intersects with post-pandemic distributed working models that have proven difficult to manage for younger Gen Z employees, driving return-to-office mandates at major corporations including JPMorgan Chase and WPP to preserve corporate culture.

Addressing the broader trajectory of automated labor, Sorrell points to economist John Maynard Keynes’s 1930 essay, Economic Possibilities for our Grandchildren, which envisioned productivity gains leading to a 15-hour workweek. Keynes was simply 100 years too early, Sorrell contends, stating that super-productive AI infrastructure could finally bring that reduced workweek to fruition.