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This new report offers a comprehensive overview of the current state of AI adoption in organizations, noting that while nearly all companies are now utilizing AI in some capacity, most are still in the early experimentation or pilot phases and have yet to achieve an enterprise-level impact. It highlights growing interest in AI agents, differences in how high-performing organizations approach AI, and varying expectations for how AI may impact workforce size and skills. While the report includes many insights, one finding worth emphasizing is that workflow redesign is one of the strongest drivers of enterprise-level impact. Companies capturing meaningful value aren’t simply adding AI to existing work—they are re-architecting workflows, decision points, and task ownership. This requires breaking work down into tasks, determining which are best performed by AI versus humans, and reconstructing workflows accordingly, rather than layering AI on top of current processes. Organizations that see limited value often focus on reducing time and cost. In contrast, high-value organizations focus on changing how work is actually done, which means moving beyond starting with the AI tool and instead designing the workflow first. Also, as noted in Exhibit 14, AI high performers are more likely to employ a range of practices to realize value from AI use, including incorporating the impact of AI on work into strategic workforce planning.
