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Middle managers are AI's biggest bottleneck, Infosys survey finds

A recent Infosys survey of over 2,600 employees reveals that middle managers are a significant bottleneck in enterprise AI adoption. Only 22% of these managers are actively involved in AI transformation, compared to nearly half of senior executives. Many middle managers downplay their AI usage due to fears of appearing less skilled and worry about being held responsible for AI failures. To foster successful AI integration, experts advocate for empowering all employees, including middle managers, as "AI superheroes" to drive innovation and growth rather than cost-cutting. AI

IMPACT Highlights a critical organizational challenge in AI adoption, suggesting that empowering middle managers is key to successful enterprise-wide AI integration.

RANK_REASON Article discusses expert opinions and survey data regarding the role of middle managers in AI adoption, rather than a specific release or event.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Middle managers are AI's biggest bottleneck, Infosys survey finds

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Commentary
Article discusses expert opinions and survey data regarding the role of middle managers in AI adoption, rather than a specific release or event.
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On-topic for AI-industry coverage; kept in the public index.
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58 days old
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Joe McKendrick, Senior Contributor ·

    Why Middle Managers Are Becoming AI's Biggest Bottleneck

    Executives are pushing AI while employees embrace it—but middle managers are falling behind. New research explains why that gap could stall enterprise AI adoption.