A landmark PwC study of 1,217 senior executives across 25 sectors finds that the AI economy is already deeply unequal. The top 20% of AI-performing organisations capture nearly three-quarters of AI's total economic value.
These leading firms use AI as a reinvention engine — pursuing new revenue streams and business model transformation — rather than simply boosting efficiency. The gap is widening rapidly.
The study identifies five characteristics shared by AI leaders: they invest more than 5% of revenue in AI R&D, they have dedicated AI teams of 50+ people, they treat data as a strategic asset, they have board-level AI governance, and they experiment constantly with new use cases.
By contrast, the bottom 40% of firms — dubbed 'AI followers' — use AI primarily for cost reduction. Their AI investments generate an average ROI of 3.2%, compared to 18.7% for leaders.
PwC warns that the gap may become permanent. AI leaders are building proprietary data flywheels that make their models more capable over time, creating competitive moats that late adopters cannot easily cross.
The geographic distribution is also uneven. 68% of AI leaders are headquartered in the United States, 14% in China, and 9% in the European Union. The remaining 9% are spread across the rest of the world.