Redesign Work, Not Just Workflows: WPP's AI-People Playbook
The advertising giant's head of human-AI strategy explains why efficiency gains alone won't deliver competitive advantage.

Redesign Work, Not Just Workflows: WPP's AI-People Playbook
As organizations race to deploy artificial intelligence, most are asking the wrong questions. Rather than debating whether systems should be human-in-the-loop or worrying about AI-driven layoffs, leaders need a unified strategy that redesigns how work gets done—not just automates existing processes.
Dr. Laura Weis, WPP's head of human-AI strategy and transformation at the Fortune 500 advertising company, has developed a framework that challenges conventional thinking about AI implementation. Her approach centers on a fundamental insight: AI is neither productivity miracle nor workplace threat. The technology is a tool, and its value depends entirely on how organizations redesign work around it.
Why it matters
Most companies treat AI adoption as a technology project when it's actually an organizational design challenge. Without rethinking team structures, performance metrics, and what constitutes valuable work, businesses will automate their way to marginal gains while competitors who redesign work capture breakthrough advantages. This framework offers a practical alternative to the efficiency-obsessed playbook dominating boardroom AI discussions.
Merge people and AI strategy
The first step requires dismantling organizational silos. Most companies maintain separate people strategies and AI technology strategies, but Weis argues this separation guarantees mediocre results. Leaders must think about their workforce holistically—including both human employees and AI agents—and design an organizational structure where each realizes full potential. This means the entire executive team, not just the chief human resources officer, needs oversight of the integrated strategy.
Focus on differentiation, not efficiency
Conversations about AI persistently return to speed and cost reduction. Weis considers this the wrong lens entirely. When every competitor pursues the same efficiency gains, no one achieves competitive advantage. Real value emerges from doing things differently—scrapping assumptions about how work currently operates and exploring new opportunities for growth, innovation, and revenue generation. The question shouldn't be "how can we do this faster?" but "what can we now do that was previously impossible?"
Ringfence time for exploration
AI delivers speed, but more importantly, it creates space. Rather than simply compressing existing work into shorter timeframes, organizations should ringfence the time saved for genuine exploration. This means connecting ideas and people that have never been brought together, thinking deeply about problems, and pursuing creative directions that daily operational pressures typically crowd out.
Redesign roles rather than eliminate them
Some companies have responded to AI efficiency gains by reducing headcount. Weis recommends the opposite approach: redesign roles to emphasize uniquely human capabilities. Leaders must identify where judgment, discernment, decision-making, and emotional intelligence create value—strengths AI fundamentally lacks. This also requires rethinking what constitutes high performance. True high performers aren't those who complete many tasks quickly, but those who completely rethink problems, bring people together, and create coherence.
Fix team health before deploying AI
AI functions as an amplifier. In psychologically safe teams with clear decision-making structures and appropriate expertise, the technology multiplies value. In unhealthy teams where critical thinking isn't rewarded and pressure leaves no room to pivot, AI simply generates more noise and frustration. Leaders must establish workplace cultures that reward diverse thinking and allow different working styles before rolling out new technologies.
Protect work that provides meaning
Finally, leaders must be disciplined about where AI should not be used. Weis warns against automating tasks associated with autonomy and creativity—writing, brainstorming, design work—that have historically been sources of pride and engagement. The only way to maintain employee engagement and identity is through purpose. Decisions about where AI will not be deployed must reflect what the organization genuinely values.
The companies that win with AI won't be those that adopt it fastest, but those that rethink work most deeply. These details were first reported by Fortune.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
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