Business Insights: Global Markets, Strategy & Economic Trends
- Align different types of AI investments to distinct business goals and operating models to unlock value.
- Prioritize data and talent, robust governance, and operational integration to move pilots into scalable production.
- Set realistic timeframes and clear metrics for ROI, focusing on scalable use cases and sustained change management.
Corporate leaders are starting to worry about the returns—or lack thereof—on their recent AI investments. McKinsey’s 2025 Global Survey found that 88% of organizations use AI in at least one business function, but only 39% report any impact on EBIT, and even among those, the impact is typically less than 5%. BCG’s analysis reveals that 60% of companies investing in AI generate no material value, and only 5% create substantial value at scale. Deloitte’s survey of nearly 2,000 executives finds that satisfactory ROI on a typical AI use case takes two to four years, which is much longer than the seven-to-twelve-month payback typically expected for technology investments.
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