PwC's 2026 AI Performance study, based on data from 5,000 companies across 22 industries, reveals a growing divide between AI leaders and the rest of the market.
The 20/75 split
The top 20% of companies — those PwC calls "AI Frontier" firms — are capturing 75% of the economic value being generated by AI. The distinguishing factor is not technology spend or model access, but strategic orientation: frontier firms are using AI to create new revenue streams, not just cut costs.
What separates leaders from laggards
The report identifies three characteristics common to AI Frontier companies: they have a C-suite executive accountable for AI outcomes, they measure AI impact in revenue terms rather than efficiency metrics, and they have restructured at least one core business process around AI capabilities rather than bolting AI onto existing workflows.
The danger of experimentation mode
PwC warns that 60% of companies are still in what it calls "experimentation mode" — running pilots and proofs of concept without scaling to production. The report finds that companies in this phase are not only missing compounding returns but are falling further behind as frontier firms build proprietary data advantages.