
Organizations are increasingly deploying AI in both new locations and expanding its capabilities, with frontier firms generating significantly more output tokens per user compared to typical firms. Enterprise AI is moving from assistance to execution, as agents help employees complete complex tasks. Frontier firms demonstrate a stronger financial performance, with higher asset levels, workforce sizes, and R&D investment, suggesting that access to AI alone is not sufficient for widespread adoption. Agentic workflows, which involve multi-step tasks, contribute to higher output, reflecting both usage frequency and task complexity. Early-career employees use AI more, and leaders can bridge the frontier gap by standardizing successful use cases and integrating agents with company tools and governance.
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