Only 12% of Companies Generate Value From AI. Here's What They're Doing | Sanjeev Vohra, Genpact
Eye On A.I.
Jun 18
Only 12% of Companies Generate Value From AI. Here's What They're Doing | Sanjeev Vohra, Genpact
Only 12% of Companies Generate Value From AI. Here's What They're Doing | Sanjeev Vohra, Genpact

Eye On A.I.
Jun 18
A recent survey of 500 senior executives reveals a stark divide in AI adoption: only a small fraction of companies are seeing real value from their investments. The conversation explores why most organizations are stuck, pointing to a surprising bottleneck that isn't about technology or top-level strategy, but about the managers in the middle. The discussion covers the path from experimentation to production, the rise of AI agents, and the critical role of leadership in driving change.
The core finding from Genpact's study is that only 12% of companies are true AI leaders, deploying AI in production for measurable business outcomes. The primary barrier for the remaining 88% is not technology or executive support, but the 'frozen middle'—middle managers who are too overwhelmed to lead the transformation. The conversation outlines a four-level maturity model for AI adoption, from emerging to leader, and emphasizes that most companies are stuck using AI as a co-pilot without integrating it into core workflows. A key insight is that 99% of enterprises lack a comprehensive AI governance program, even as autonomous agents begin to proliferate. The path forward involves prioritizing progress over perfection, with leaders personally using AI to set an example. The future is framed around the expectation of '10x engineers' and '3x business practitioners,' but scaling this requires a systematic process like Genpact's 'AI Gigafactory' to avoid chaos and ensure governance.
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Embrace AI without waiting for perfect understanding
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Talent and culture are the main barriers to AI adoption
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Only 12% of companies are AI leaders.
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A six-month task completed in 24 hours.
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Prioritize progress over perfection.
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99% of companies lack comprehensive AI governance
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C-suite leaders must personally use AI