$18 Trillion AI Value Trapped by Enterprise Debts, Genpact Research Finds
Event summary
- Genpact and HFS Research identify $18 trillion in recoverable enterprise value trapped by four interconnected debts: data, process, technology, and talent.
- 85% of surveyed executives say these debts limit AI value, yet over half lack funded plans to address them.
- Resolving these debts could unlock 8% faster annual revenue growth and 16% annual cost reduction.
- Only 6% of enterprises have established debt resolution programs at scale.
- Manufacturing and healthcare hold the largest combined unlock potential, while financial services carries the highest data debt concentration.
The big picture
Genpact's research highlights a structural constraint in AI adoption: legacy enterprise debts are compounding into performance ceilings. As AI exposes long-neglected inefficiencies, the $18 trillion opportunity signals a strategic inflection point where foundational fixes will determine competitive positioning. The gap between AI ambition and operational readiness has never been more costly, with 13% of function spend now flowing into AI initiatives.
What we're watching
- Execution Gap
- Whether enterprises can bridge the diagnostic-execution gap to resolve debt and unlock AI value.
- Industry Prioritization
- The pace at which manufacturing, healthcare, and financial services address their specific debt concentrations.
- Talent Readiness
- How quickly workforces can adapt to the human-agent operating model required for AI integration.
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