
n this interview, Rory Sutherland shares his views on AI, marketing, business incentives, innovation, and decision-making. He explains why companies often focus too much on cost-cutting, how incentives shape behavior, and why creativity, trust, and human judgment will remain valuable in an AI-driven world.
Rory Sutherland is the Vice Chairman of Ogilvy UK and one of the world's most recognized voices in marketing and behavioral science. Known for his unconventional thinking, he helps businesses understand human behavior, creativity, decision-making, and the hidden forces that influence markets and consumer choices.
June 17, 2026

The biggest risk may not come from AI itself but from the people deploying it. Many companies are selling AI internally as a cost-cutting tool instead of using it to create new opportunities, products, and value. That approach could damage innovation and create long-term problems for businesses and employees.

In many organizations, departments like finance, compliance, procurement, and HR have the power to stop new ideas. They are rewarded for avoiding mistakes and reducing costs but are rarely held accountable for missed opportunities. This creates a culture that discourages experimentation and long-term thinking.

Many companies focus on replacing people and cutting expenses because that creates an immediate business case. The danger is that they ignore AI's much bigger potential to create new products, services, and markets. If businesses only use AI for efficiency, they may miss its most valuable opportunities.

People respond to the incentives around them. If executives receive rewards for short-term cost savings but are not responsible for long-term damage, they will naturally focus on reducing expenses. Good incentives encourage value creation, while bad incentives often encourage behavior that hurts businesses over time.

Many organizations focus too heavily on individual performance metrics. I believe businesses should measure teams more than individuals. Teams naturally balance different strengths and skills, while excessive measurement often encourages people to optimize metrics instead of delivering meaningful results.
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