You can’t build your AI future on broken foundations
Every major enterprise is running an AI program. Almost none of them are ready for it. Genpact, in partnership with HFS Research, surveyed more than 2,000 enterprise executives across industries and functions as part of our study on how four enterprise debts will make or break your AI future. The findings are confirming and clarifying: Ambition is high, readiness is low, and the gap between the two is compounding. The data is unambiguous: 85% of leaders say their underlying foundations, fragmented data, ungoverned processes, aging systems, and undertrained talent are actively working against their AI investments. Enterprises are directing 13% of average function spend toward AI. The foundations on which spending depends are not ready for it. Layering AI on top of processes that were never designed for it does not unlock value. It locks in the cost of the status quo at machine speed. 1 STRUCTURAL FAILURE, 4 COMPOUNDING DEBTS Enterprise debt does not appear on a balance sheet. It accumulates quietly, in systems held together by tribal knowledge, in data no one fully trusts. Often, processes are so layered with workarounds that they have become the workflow. And with a workforce so used to the dysfunction, they no longer notice it. Four distinct forms of it compound into a single structural failure. The instinct is to treat them separately. That instinct is wrong. 1. Technology debt. Core systems are, on average, 10 years old. Developers spend most of their time keeping that infrastructure alive, not building what AI actually requires. 2. Data debt. Most functional data are not AI-ready. Teams spend their days reconciling, correcting, and preparing it. Work that produces no output crowds out the work that does. 3. Process debt. Half of all enterprise processes require manual intervention end-to-end. You cannot reliably automate what you have not reliably defined. 4. Talent debt. Organizations hire knowledge workers to think and decide. Broken systems ensure most of the