Beyond the Hype

Generative AI (GAI) is rapidly entering professional environments, challenging long-standing assumptions about expertise, creativity, and value creation. While current discourse often oscillates between utopian expectations and dystopian concerns, there is still limited understanding of how organizations are actually integrating and responding to this technology in practice.

This study explores how professional service firms—organizations fundamentally built on human expertise—are engaging with generative AI. Drawing on an in-depth qualitative study across leading firms in law, architecture, and auditing, the findings reveal a more nuanced and grounded picture of AI adoption.

Contrary to expectations, professionals do not primarily perceive GAI as a threat. Instead, it is largely embraced as a tool to enhance productivity and support professional work. The accessibility of generative AI has triggered widespread experimentation, with individuals and organizations exploring how it can be integrated into existing practices and workflows.

However, despite this rapid uptake, the actual impact of GAI on core business models, innovation outcomes, and work practices remains limited. The findings point to a critical tension: while GAI enables faster iteration and supports internal processes, its contributions often result in localized efficiency gains rather than systemic transformation.

The study also highlights emerging risks. A strong organizational focus on GAI may lead to opportunity costs, where alternative technologies and innovation paths are deprioritized. There are also indications that reliance on generative outputs may shift the role of professionals from creators to evaluators, with potential implications for creativity and long-term innovation capacity.

Overall, the impact of generative AI is neither uniform nor inevitable. Instead, it depends on how organizations integrate, govern, and make sense of the technology.

For leaders, this implies a need to move beyond adoption and critically assess where AI creates value, how it reshapes expertise, and how to retain human agency, creativity, and judgment in AI-supported environments.