Enterprises Are Sitting on $18 Trillion in Trapped AI Value. New Research Shows How to Unlock It
Four enterprise debts are quietly working against every dollar organizations are investing in AI
Resolving enterprise debts can unlock approximately 8% faster annual revenue growth and 16% annual cost reduction. Yet 85% of leaders surveyed say that these enterprise debts are actively limiting their AI value — and over half have no funded plan to address them. With nearly 13% of average function spend now flowing into AI, the gap between ambition and foundation has never been more costly.
"Resolving these debts is the largest underutilized performance opportunity in business today. You cannot out-innovate broken foundations. Understanding exactly where these debts live and how to resolve them requires context-rich process intelligence," said Balkrishan "BK" Kalra, President and CEO,
Four debts. One opportunity.
The research defines enterprise debt as the accumulated drag on a business from outdated technology, poor data quality, inefficient processes, and underprepared talent. Left unresolved together, the four debts compound — each one deepening the others — into a structural ceiling on performance. In the AI era, that ceiling becomes a hard constraint.
- Data debt is the gap between the data enterprises have and the data AI needs. Only 33% of enterprise data is AI-ready today, and 42% of AI and analytics initiatives are already failing because of data quality issues.
- Process debt is the cost of how work actually flows — manual, ungoverned, and hard to change. Around 40% of employee time each week is lost to inefficient or manual processes. AI deployed into ungoverned workflows does not fail visibly; it executes the wrong steps faster.
- Technology debt is the legacy infrastructure tax every modern initiative pays before it starts. Core enterprise systems are, on average, 10 years old, and approximately 42% of developer time goes to servicing existing debt rather than building new capabilities.
- Talent debt is the readiness gap between the workforce enterprises have and the human-agent operating model AI requires. Only 32% of the workforce is AI-ready — and talent debt amplifies every other form of debt, silently slowing every resolution effort.
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"AI is exposing every weakness enterprises have spent decades learning to live with. Poor process discipline, fragmented data, legacy technology and talent gaps are no longer operational nuisances. They are now direct barriers to growth, productivity and competitiveness. The
Only 6% are pulling ahead
Despite the scale of the opportunity, more than 50% of enterprises have no funded debt resolution initiative in motion. Only 6% of respondents — identified in the research as proven debt resolvers — have established, run, and measured results from resolution programs at scale. The diagnostic gap between this group and the rest is small. The execution gap is enormous. The full report details what the 6% do differently and charts the path for the enterprises that are ready to follow.
For more information and to download the full report, visit https://www.genpact.com/insight/how-four-enterprise-debts-will-make-or-break-your-ai-future.
About Genpact
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.
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Genpact Media Relations
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SOURCE Genpact
