Enterprises Are Sitting on $18 Trillion in Trapped AI Value. New Research Shows How to Unlock It
Enterprises Are Sitting on $18 Trillion in Trapped AI Value. New Research Shows How to Unlock It
Publish Date: 2026-06-15 07:30:00
Source Domain: www.prnewswire.com
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Identification of $18 Trillion Opportunity: Genpact and HFS Research identified nearly $18 trillion in recoverable enterprise value from Global 2000 companies in their study.
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Four Interconnected Enterprise Debts: The study pinpoints four main enterprise debts—data, process, technology, and talent—which hinder organizations from realizing the full potential of AI.
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Impact on AI Value Unlocking: Resolving these enterprise debts can lead to 8% faster annual revenue growth and 16% annual cost reductions, yet 85% of executives surveyed acknowledge these debts are limiting AI value.
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Prevalence of Inaction: Over half of the surveyed organizations do not have a funded plan for addressing the enterprise debts, although those with resolution initiatives report dramatic success.
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Types of Enterprise Debts:
- Data Debt: Reflects the gap between existing data and AI-needed data quality, impacting 42% of AI initiatives.
- Process Debt: Involves inefficient workflow processes, wasting approximately 40% of employee time weekly.
- Technology Debt: Stemming from legacy system infrastructures that occupy about 42% of developer time.
- Talent Debt: Addresses the readiness gap between current workforce capabilities and required AI readiness, impacting 32% of the workforce.
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Opportunity for Early Movers: Only 6% of the respondents have successfully initiated, run, and measured results from resolution programs. This small but successful group provides key insights for others.
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Call to Action: The report provides a diagnostic and path for other enterprises to follow, emphasizing that addressing these enterprise debts is critical for competitive advantage in the AI era.
