Poor governance is holding back returns on AI investments, according to new research. Companies with a strong relationship between governance and AI are performing better than businesses that are unclear on their AI strategy.
The findings suggest that how AI decisions are made matters as much as the technology itself. Firms with clear governance can tie AI projects to business goals and measure results, while those without it struggle to show whether AI spending produces value.
That distinction has direct consequences for executives. AI governance determines which projects get funded, who answers for failures, and whether returns can be tracked at all.
What the research showed
The research compared firms based on the strength of the link between governance and AI activity. Companies with stronger governance performed better on returns than those without a defined strategy.
Unclear strategy was not a minor handicap. The performance gap points to governance as a core driver of AI value, not a compliance exercise.
What governance covers
Governance includes decisions about where AI is used, how projects are approved, and how outcomes are reviewed. When those processes are weak, AI initiatives multiply without clear business cases. When they are strong, investment follows strategy and returns become measurable.
Executives who want to close the gap can start by reviewing their existing structures. For broader guidance, AI for Executives & Strategy covers how leadership teams can build a clearer approach to AI decision-making.
Digital leaders responsible for implementation may benefit from the AI Learning Path for Chief Digital Officers, which addresses governance and enterprise AI strategy in practice.
Why this matters for executives and strategy
The practical takeaway for executives is that poor AI returns may be a governance problem, not a technology problem. Reviewing who owns AI decisions, how they connect to strategy, and how results are tracked is a concrete place to start.
Research that links governance to performance gives leadership teams a clear agenda: strengthen the relationship between strategy and AI oversight before adding more projects or budget.
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