It is generally accepted that AI boosts productivity; however, only 13% of companies report a positive impact on EBITDA, and fewer than a third can link AI contributions to the P&L. The core question is: how do we move from endless pilots to real financial outcomes?
40% of decision-makers cite security and risk as their top concern, yet the pressure to go fast often trumps safeguards. More than half of COOs are concerned about regulatory and compliance uncertainty related to agentic AI, compared with just 20% of CIOs/CTOs, a gap that's itself a governance risk.
While nearly three-quarters of organizations have documented AI policies, most cover only the basics. Few mandate responsible AI training or provide clear guidance for employees seeking help. At the same time, more than half of COOs are concerned about regulatory and compliance uncertainty related to agentic AI, compared with just 20% of CIOs/CTOs, a perception gap that creates governance blind spots. The pressure to move fast consistently runs ahead of the guardrails being put in place.
88% of companies deploy AI somewhere, but barely 10% have scaled value enterprise-wide. That gap tells the whole story. Executives have proven they can run experiments. What they can't answer with confidence is whether their data infrastructure, talent, governance, culture, and business processes are mature enough to take AI from a collection of pilots to something that moves the needle on the entire organization.
Organizations with fully integrated AI are nearly four times as likely to report revenue growth as those still piloting, at 58% versus 15%. Every C-suite leader sees that stat and wonders which side of it they're on.
The uncomfortable truth is that most don't actually know. And not knowing is the readiness problem itself.
