Why AI governance is more necessary than ever — and can be an accelerator
(Among senior leaders whose organization is investing in AI)
Governance enables confidence, which is priceless when the integrity of data and the AI reasoning based on that data can feel unknown. But we can’t govern AI the same way we govern traditional tech.
Biggest barriers to developing in-house, AI-built software for internal organizational use
Unfortunately, 72% of those whose organization is investing in AI also say their organization is facing challenges that are slowing progress to developing AI-built software, hitting a wall where cost, talent and trust intersect. A whopping 92% of these leaders can point to specific barriers their organization faces. Even more startling is that 24% of these leaders said that their internal teams managing AI-driven software development are already experiencing burnout.
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Explore the data, insights, and executive perspectives shaping the future of enterprise AI adoption.
George Haggar
EY Americas Risk Consulting Leader
While we hear talk of how AI shatters governance models, know that it’s also a solution for governance, at a scale that has never existed before.
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