#USA #New York #EY #Responsible AI #Business Success

Discovering the Power of Responsible AI Governance

In an era where AI technology continues to accelerate its presence in various sectors, a recent survey from EY has shed light on companies that have made significant strides in implementing responsible AI governance. The findings reveal a compelling correlation between advanced AI governance practices and positive business outcomes, encompassing both financial performance and employee satisfaction.

The EY Responsible AI (RAI) Pulse survey, conducted in August and September 2025, gathered insights from 975 C-suite leaders across 21 countries. This research marks the second phase of the survey and builds on initial findings released in June. It paints a comprehensive picture of how organizations are integrating responsible AI practices into their business strategies and the ensuing benefits that come along with these initiatives.

Among the prominent findings, it was noted that companies employing real-time monitoring and oversight committees reported measurable gains in various metrics. Approximately 81% of respondents indicated improved innovation, and nearly 79% acknowledged greater efficiency and productivity enhancements. Moreover, about 54% of the surveyed organizations noted significant increases in revenue growth, while 48% pointed to considerable cost savings. Employee satisfaction also received a boost, noted by 56% of the surveyed leaders.

As organizations strive for success, the transition from principle to practice is paramount in embedding AI commitments into daily operations. The survey indicates that on average, organizations have implemented seven out of ten recommended responsible AI measures, showcasing an intent to progress. Interestingly, less than 2% of respondents reported having no plans for implementation, indicating a strong engagement with responsible AI practices.

However, alongside these advancements, challenges persist, particularly in the form of inadequate controls for AI risks. Alarmingly, 99% of surveyed organizations experienced financial losses due to AI-related risks, with nearly 64% suffering losses exceeding $1 million. The average financial setback faced by companies grappling with AI risks is estimated at $4.4 million. The most prevalent AI risks identified included non-compliance with regulations (57%), negative impacts on sustainability efforts (55%), and biased outputs (53%).

The survey also highlighted significant knowledge gaps within C-suite executives regarding the identification of appropriate controls against these AI-related risks. Only 12% of respondents accurately identified suitable controls for five major AI risks, indicating a pressing need for enhanced awareness and strategies among leadership.

As businesses navigate this evolving landscape, they are increasingly encountering a new phenomenon termed