Bookmark: Enterprises are hitting a ‘’speed limit’’ in deploying gen AI - here’’s why
Enterprises struggle to scale generative AI due to regulatory challenges and risk management. Discover key insights and solutions for successful deployment.
Enterprises are hitting a ‘speed limit’ in deploying Gen AI - here’s why
Deloitte’s report reveals that enterprises face challenges in deploying generative artificial intelligence (Gen AI) due to regulatory uncertainties and risk management concerns. Over two-thirds of executives noted that less than one-third of Gen AI projects would scale within six months. Regulatory compliance remains the main hurdle, with 38% of respondents identifying it as a barrier—a rise from 28% the previous year. Despite rapid technological advancements, organizational changes lag behind. While companies see potential, deploying Gen AI at scale is laborious, requiring a multiyear commitment to achieve returns on investment (ROI). Applications in IT, operations, and marketing have shown promising ROI, with cybersecurity leading gains. However, functions like sales and finance frequently underperform. The report emphasizes that many C-suite members express an overly optimistic outlook, delaying necessary organizational changes. Like preceding technological waves, Gen AI’s full potential will unfold gradually, necessitating a shift from mere cheerleading to genuine leadership to harness its value for enterprise competitiveness
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