Large companies are increasingly deploying AI across their operations, with 88% using it in at least one business function and 44% scaling it enterprise-wide, according to McKinsey. However, financial returns have not kept pace, with only 6% of organizations achieving high performance in AI adoption. The article argues that the traditional AI Center of Excellence (AI CoE) needs to evolve from a talent pool to a facilitator of business value, focusing on decision-making, standards, and accountability rather than just use cases. AI
IMPACT AI Centers of Excellence need to shift from managing talent to focusing on decision-making and business value to ensure AI investments yield financial returns.
RANK_REASON The article provides an opinion on how AI Centers of Excellence should evolve based on industry trends and survey data.
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