Abstract: Enterprise adoption of generative artificial intelligence represents one of the most significant organizational transformations of the 2020s, yet the path from initial access to meaningful value creation remains complex and uneven. Drawing on evidence from ChatGPT Enterprise usage data spanning January 2024 through March 2026, alongside contemporary research on organizational technology adoption, this article examines how organizations navigate the deployment of general purpose AI technologies. We document four critical patterns: rapid but uneven adoption concentrated among larger, intangible-intensive firms; significant within-firm heterogeneity in usage intensity across worker roles and seniority levels; broad task diffusion coupled with concentrated message volume; and systematic associations between pre-existing organizational capabilities and deployment success. These findings illuminate the gap between technological access and organizational integration, highlighting that generative AI adoption follows the established pattern of general purpose technologies requiring substantial complementary investments in processes, capabilities, and organizational redesign. The evidence suggests we remain in the early stages of a J-curve productivity trajectory, where organizations are actively learning how to transform AI access into sustainable competitive advantage through deliberate change management and capability building.
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