McKinsey and Company's 2026 annual global survey on AI adoption finds 78% of organizations now report regular use of at least one AI function, up from 55% in 2023 and 72% in 2024. The survey, which tracks adoption across marketing, operations, software development, and supply chain functions, shows the fastest acceleration in marketing and sales AI use cases, where generative AI tools for content creation, customer segmentation, and automated campaign optimization have reached broad deployment.

Organizations reporting AI use in marketing functions show a median productivity gain of 15% on content production tasks and a 20% reduction in time spent on data analysis and reporting workflows. The survey identifies AI-driven customer personalization as the most commonly cited revenue driver, with 37% of respondents saying AI personalization tools contributed directly to measurable revenue growth in 2025.

The gap between AI leaders and laggards is widening. McKinsey defines AI leaders as organizations with mature AI governance, dedicated model operations infrastructure, and AI integrated into core business processes. Leaders are three times more likely to report AI generating 20% or more of their EBIT than organizations at earlier stages of adoption. Data quality and talent acquisition remain the two most commonly cited barriers to scaling AI from pilot projects to enterprise-wide deployment.

Source: McKinsey and Company -- https://www.mckinsey.com/capabilities/quantumblack/our-insights