Business
As Agentic AI Gains Traction, 86% of Enterprises Anticipate Heightened Risks, Yet Only 2% of Companies Meet Responsible AI Gold Standards
Infosys Knowledge Institute (IKI), the research arm of Infosys (NSE: INFY), (BSE: INFY), (NYSE: INFY), a global leader in next-generation digital services and consulting, today unveiled critical insights into the state of responsible AI (RAI) implementation across enterprises, particularly with the advent of agentic AI. The report, Responsible Enterprise AI in the Agentic Era, surveyed over 1,500 business executives and interviewed 40 senior decision-makers across Australia, France, Germany, UK,
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[{"type":"text","content":"With 95% of enterprises facing incidents, Infosys research reveals wide gap between AI adoption and responsible AI readiness, exposing most enterprises to reputational risks and financial loss","length":192,"tagName":"p","attribs":{}},{"type":"text","content":"BENGALURU, India, Aug. 14, 2025 /PRNewswire/ -- Infosys Knowledge Institute (IKI), the research arm of Infosys (NSE: INFY), (BSE: INFY), (NYSE: INFY), a global leader in next-generation digital services and consulting, today unveiled critical insights into the state of responsible AI (RAI) implementation across enterprises, particularly with the advent of agentic AI. The report, Responsible Enterprise AI in the Agentic Era, surveyed over 1,500 business executives and interviewed 40 senior decision-makers across Australia, France, Germany, UK, US, and New Zealand. The findings show that while 78% of companies see RAI as a business growth driver, only 2% have adequate RAI controls in place to safeguard against reputational risk and financial loss.","length":770,"tagName":"p"},{"type":"image","alt":"Responsible Enterprise AI in the Agentic Era Radar","displaySize":"","headline":null,"caption":"Responsible Enterprise AI in the Agentic Era Radar","className":"","disableSlideshowImg":false,"size":{"original":{"width":57,"height":200,"url":"https://media.zenfs.com/en/prnewswire.com/6264bc81f1082b13d1de4464071a93f0"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/OJryXjJej9GbUOtZE8teiQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTExMDtoPTM4NjtjZj13ZWJw/https://media.zenfs.com/en/prnewswire.com/6264bc81f1082b13d1de4464071a93f0","width":57,"height":200}},"href":"https://mma.prnewswire.com/media/2750634/Responsible_AI_Radar_infographic.pdf?p=original","hrefExternal":true,"rel":"nofollow"},{"type":"text","content":"The report analyzed the effects of risks from poorly implemented AI, such as privacy violations, ethical violations, bias or discrimination, regulatory non-compliance, inaccurate or harmful predictions, among others. It found that 77% of organizations reported financial loss, and 53% of organizations have suffered reputational impact from such AI-related incidents.","length":367,"tagName":"p"},{"type":"text","content":"Key findings include:","length":21,"tagName":"p"},{"type":"text","content":"AI risks are widespread and can be severe","length":41,"tagName":"p"},{"type":...