Enterprises Face $18 Trillion Hurdle in AI Implementation

The report, which surveyed over 2,000 executives across 16 industries, identifies the culprits as data, process, technology, and talent debt. These issues function as a compounding tax on innovation; when left unaddressed, they create a ceiling that limits AI from delivering its promised efficiency. While 13% of functional budgets are now allocated to AI, 85% of leaders admit these foundational flaws actively obstruct their progress. Over half of the organizations surveyed have no funded plan to rectify these gaps.

Data and process inefficiencies represent the largest shares of the $18 trillion opportunity, accounting for roughly $7.7 trillion each. For instance, only 33% of enterprise data is currently AI-ready, and 40% of weekly employee hours are lost to manual or ungoverned workflows. Balkrishan Kalra, CEO of Genpact, argues that organizations cannot simply out-innovate a broken foundation, noting that "no artificial intelligence exists without process intelligence." Despite the high stakes, only 6% of surveyed firms have established programs to resolve these debts at scale. For the remainder, the research suggests that AI is merely exposing legacy weaknesses that have transitioned from operational nuisances into existential barriers to competitiveness.