As Generative Artificial Intelligence (GenAI) technologies proliferate across industries, organizations increasingly depend on them to adapt to dynamic, competitive, and regulation-heavy environments. While institutional forces often drive the adoption of such technologies, the role of institutional pressures and governance of GenAI in shaping individual-level GenAI usage remains underexplored. To bridge the gap, this study develops a conceptual framework to examine how institutional pressures influence professional usage of GenAI, with GenAI governance acting as a mediating mechanism. Grounded in institutional theory, the framework incorporates coercive, normative, and mimetic pressures as antecedents to GenAI usage. GenAI governance practices encompassing transparency, ethical safeguards, and usage monitoring are considered as mediators in this relationship. The developed conceptual framework proposes that while institutional pressures directly shape professional GenAI usage, their effects are likely to be significantly strengthened or mitigated by the presence of GenAI governance. This research contributes to institutional approaches to emerging AI technologies by highlighting the mediating role of GenAI governance. The study also addresses a critical gap in the IS literature by focusing on institutional and governance determinants of individual-level technology use. As a result, this paper offers theoretical insights for responsible GenAI integration in professional settings.