The latest EY Responsible AI Pulse survey finds that while many companies are investing heavily in AI, their returns – especially on revenue growth, cost savings and employee satisfaction – often lag unless responsibility and governance are built in. Firms that articulate clear responsible AI principles, implement controls, monitor in real time and establish governance structures (e.g. oversight committees, independent audits) tend to see much stronger outcomes. The cost of neglecting responsible AI is substantial: nearly all survey respondents reported financial losses tied to AI-related risks. Key risks include regulatory non-compliance, bias in AI outputs, and impacts on sustainability goals.
The survey also found that the C-suite often have significant knowledge gaps: many don’t fully understand which controls match which risk, especially non-technical executives. Emerging challenges include agentic AI (AI that operates autonomously) and citizen developers (employees building AI systems using low- or no-code tools) which increase both opportunity and risk.
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