The state of AI: How organizations are rewiring to capture value

Recent surveys reveal that companies seeing the biggest bottom-line impact from generative AI (gen AI) are those with strong executive oversight—particularly when CEOs or boards are directly responsible for AI governance. This is especially true for larger organizations, where such involvement correlates closely with EBIT gains. Yet only 28% of respondents report their CEO oversees AI governance, and many still split responsibilities across multiple leaders.

Beyond leadership, the real value of gen AI lies in how it reshapes day-to-day operations. Companies that have begun redesigning workflows to integrate gen AI are already seeing measurable returns. In fact, workflow transformation ranks as the single biggest driver of AI-related EBIT impact across all company sizes. But adoption remains early—only about one in five organizations have redesigned at least some of their workflows to fully leverage AI.

As AI adoption increases, organizations are centralizing risk and data governance while deploying tech talent through hybrid models. Companies leading in AI maturity are also following best practices like tracking performance KPIs, setting clear adoption roadmaps, and investing in workforce reskilling. As use cases multiply across functions like IT, marketing, and customer service, the path to value is becoming clearer: strong governance, strategic redesign, and focused scaling.