Renee Murphy

AI adoption continues to accelerate across industries, promising efficiency gains, enhanced decision-making, and new revenue streams. However, organizations are increasingly exposed to operational risks that, if unmanaged, can result in financial losses, regulatory penalties, reputational damage, and ethical violations. These risks are not confined to deployment—they permeate every stage of the AI lifecycle, from data collection to continuous monitoring. Effective AI governance requires a holistic understanding of these risks and the implementation of proactive risk management strategies.

As we move further into the digital era, organizations face an increasingly complex landscape of risks—from brand reputation challenges to AI governance and cybersecurity concerns. To help professionals, and executives navigate these evolving threats, I am publishing my research categories for 2025/2026, highlighting the areas that will demand attention, insight, and innovation over the next two years.