McKinsey Report: Enterprise AI Investment Outpaces Realized Earnings Impact

McKinsey surveyed 1,719 professionals and business leaders worldwide for its State of AI in 2026 report. [1] The survey found that 37 percent of respondents attribute at least some earnings before interest and taxes (EBIT) impact to AI use, which remains roughly the same as the 2025 survey results. [1]

Only 6 percent of those surveyed qualify as AI high performers, meaning they attribute at least 5 percent of their organization's EBIT to AI and describe the impact as significant. [1] This high-performer figure has remained flat since the previous year. [1]

Despite the flat earnings impact, companies are continuing their AI investments. [1] According to McKinsey, organizations' conviction in AI is growing faster than the immediate financial returns they can attribute to the technology. [1] A larger portion of respondents expect AI to reshape their business over the next three years compared to a year ago. [1]

Enterprise AI adoption has reached a critical juncture where investment outpaces verifiable financial returns. While leaders expect transformative change over the next three years, the stagnation in companies attributing at least 5 percent of EBIT to AI suggests that scaling generative AI from pilot to profitable production remains difficult. The gap between expectation and reality indicates that enterprises may be struggling with integration, cost management, or finding high-value use cases that directly move the financial needle. What the sources don't address: whether specific industries or specific enterprise functions are disproportionately represented among the 6 percent of high performers seeing actual EBIT impact.