Most organizations investing in AI are not getting what they expected. A small group is getting almost everything.
PwC released its 2026 AI Performance Study today, surveying 1,217 senior executives at large, publicly listed companies across 25 sectors globally. The headline finding is stark: nearly three-quarters of AI's economic value - 74% - is being captured by just one-fifth of organizations. The rest are still waiting for results that are not coming the way they had hoped.
What the Leaders Are Doing Differently
The top-performing companies are not simply deploying more AI tools. The research identifies a clear pattern: leaders are using AI as a catalyst for growth and business reinvention, while the majority are still using it primarily to cut costs or improve efficiency.
Specifically, leading companies are approximately two to three times more likely to use AI to identify and pursue new revenue opportunities created as industries converge. They are nearly twice as likely to redesign workflows from the ground up to incorporate AI, rather than layering AI tools onto existing processes. They are 2.8 times more likely to have increased the number of decisions made without human intervention - while simultaneously going further on AI governance.
PwC's analysis shows that capturing growth opportunities from industry convergence is the single strongest factor influencing AI-driven financial performance. This is not about benchmark scores or model selection. It is about whether leadership is using AI to expand what the business does, not just how efficiently it does it.
The Pilot Problem
The majority of organizations have the opposite profile. They have adopted AI tools, they have run pilots, and they are seeing modest efficiency gains. Those gains are real but they do not compound. They do not change the competitive position. They do not lead to transformation.
PwC's research confirms what I have seen in four years of advising executives on AI implementation: the difference between organizations getting genuine returns and those still waiting is almost never the model they chose. It is whether senior leadership made deliberate, concentrated bets on the workflows where AI could change the business - not scattered experiments across every department looking for marginal wins.
The Gap Will Widen
The concerning implication of PwC's data is directional. The 20% who are winning are using their AI-driven growth to fund more AI investment, attract better talent, and expand into new markets. The 80% in pilot mode are losing competitive ground while spending on tools that are not delivering transformation.
For business leaders reading this, the question is not whether to invest in AI. The question is whether your AI program is structured around growth or efficiency - and whether the answer to that question is going to look different six months from now.
