McKinsey AI Manifesto

McKinsey has published an April 2026 “AI transformation manifesto” that tells companies to run artificial intelligence from the business, not from the information technology department. (mckinsey.com) The essay was written by Alex Singla, Alexander Sukharevsky, Eric Lamarre, Kate Smaje, and Robert Levin, and it says the companies “truly innovating with AI” are using it to reshape products, services, core processes, and organizational systems. (mckinsey.com) McKinsey says those companies do not win because they have access to better tools, since the tools are “broadly available.” It says they win by applying technology “to solving real business problems at scale” and by moving faster than peers. (mckinsey.com) The document ties that argument to a financial target: McKinsey’s April 18, 2026 “Rewired 2.0” package says companies that successfully transform with AI can lift earnings before interest, taxes, depreciation, and amortization by about 20 percent. (mckinsey.com) In a companion interview published April 6, 2026, McKinsey senior partner emeritus Eric Lamarre said the firm’s analysis of 20 top performers found three numbers: about 20 percent EBITDA uplift, payback in one to two years, and roughly three dollars of EBITDA for every dollar invested. (mckinsey.com) The manifesto says the biggest gains usually come from “economic leverage points,” not from a long list of disconnected pilots. McKinsey gives mining yield and throughput at Freeport-McMoRan and supply-chain integration at Toyota as examples of the few areas where companies concentrated effort. (mckinsey.com) That message lands after a year in which McKinsey’s own survey found AI use spreading faster than AI profits. In its November 5, 2025 global survey, 88 percent of respondents said their organizations used AI in at least one business function, but only 39 percent reported enterprise-level earnings before interest and taxes impact. (mckinsey.com) McKinsey has been building the case for business ownership of AI since at least December 2025, when it argued that “domain leaders” two or three levels below the chief executive should drive end-to-end AI transformations inside business lines and functions. (mckinsey.com) That article also put a number on the talent gap behind the manifesto’s argument: McKinsey’s analysis of LinkedIn profiles across 492 Fortune 500 companies found just 17 percent of senior leaders’ listed skills were technical, and only 5 percent of their careers included a technical role. (mckinsey.com) The through line in McKinsey’s April 2026 package is that AI spending should be judged like any other transformation program: by profit, payback, and operating change. In McKinsey’s framing, the chief executive and business-unit leaders own that scorecard, while information technology supplies the platforms and engineering needed to deliver it. (mckinsey.com)