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Companies with real-time monitoring and oversight committees report measurable gains in revenue, employee satisfaction, and cost savings.
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Nearly all organizations report financial losses and widespread impact from compliance failures, sustainability setbacks, and biased outputs.
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Gaps in governance, visibility, and workforce preparation highlight the challenges of managing employee-led AI adoption.
, /PRNewswire/ -- The EY organization today released findings from the second phase of its Responsible AI (RAI) Pulse survey, which indicates companies that implement more advanced RAI measures are pulling ahead while others stall.
As broader adoption of AI technologies continues to accelerate, those furthest along experience the most benefit. Nearly four in five respondents said their company has improved innovation (81%) and efficiency and productivity gains (79%), while about half report boosts in revenue growth (54%), cost savings (48%), and employee satisfaction (56%).
Responsible AI adoption begins with defining and communicating principles and then advances to implementation and governance. The transition from principles to practice happens through RAI measures that embed commitments into operations. On average, organizations have already implemented seven of the 10 RAI measures, and among those yet to act, the vast majority plan to do so. Across all measures, fewer than 2% of respondents reported having no plans for implementation. This points to broad engagement with responsible AI and strong intent to continue progressing.
As organizations continue to advance on their RAI journey, the survey suggests greater adherence to RAI principles is correlated with positive business performance. For instance, those respondents with real-time monitoring are 34% more likely to see improvements in revenue growth and 65% more likely to see improved cost savings.
This survey is the second in a series, following initial findings in June, that evaluates how enterprises perceive and integrate responsible AI practices into their business models, decision-making processes and innovation strategies. The insights were gathered in August and September 2025 from 975 C-suite leaders across 11 roles and 21 countries.
Other key findings include:
Inadequate controls for AI risks lead to negative impacts
Almost all (99%) organizations surveyed reported financial losses from AI-related risks, with nearly two-thirds (64%) suffering losses of more than US$1 million. On average, the financial loss to companies that have experienced risks is conservatively estimated at US$4.4 million.