The question for leaders is no longer whether AI matters, but whether their organization can keep pace with it.
Potential contribution of AI to the global economy by 2030
PwC, Sizing the PrizeAnnual value generative AI could add across business functions
McKinsey & CompanyOf organizations report using AI in at least one business function
Stanford AI IndexNew roles projected to be created by 2030 as 92M are displaced
World Economic Forum, Future of JobsTechnologies that once took a decade to reach the mainstream now reach it in months. Enterprise AI adoption moved from experiment to expectation inside two years, leaving workforce capability as the slowest-moving part of the equation.
The largest gains are not coming from doing the same tasks faster. They come from re-sequencing how work happens — where analysis begins, who drafts, who reviews, and which steps stop existing altogether.
Organizations that pair AI access with capability, governance and measurement are compounding their advantage. Those treating AI as a license purchase are seeing pilots stall and value stay theoretical.