AI Governance Gaps Threaten Business Costs and Security

Enterprise leaders report that AI knowledge is hard to transfer because it depends on models, data, prompts and tacit expertise, making staff turnover a risk to continuity. A recent IBM study shows two‑thirds of CIOs and CTOs feel accountable for AI systems they cannot fully control, while only 11% feel prepared for the rapid scale of AI agent deployment.

Cost overruns are prevalent: a WitnessAI survey found 68% of firms exceeded AI budgets, with only 9% seeing clear financial returns. Companies also cite weak governance as a source of delays, reputational damage and regulatory risk. In India, executives warn that AI‑driven expenses rise faster than anticipated, highlighting the need for stronger governance, data security and privacy. The UAE’s digital strategy similarly emphasizes trust, resilience and governance for autonomous AI systems.

Overall, corporations view AI as a top corporate risk, second only to geopolitical uncertainty, and fear that unmanaged AI agents can accelerate security incidents and erode recovery capabilities.