These aren't talking points. They're findings from primary research by MIT, Gartner, Deloitte, EY, and Bright Horizons — organizations that study how AI is actually being adopted in the real world.
MIT's NANDA Initiative analyzed 300 public AI deployments and interviewed 150 leaders. The conclusion: the vast majority of AI pilots stall before delivering any bottom-line impact. Only a small fraction reach the stage of revenue acceleration. Most organizations are still stuck on Day One.
Launching a pilot is not a strategy. Without clear governance, success metrics, and a path to scale, pilots are expensive experiments with no payoff.
Gartner surveyed 360 IT leaders actively involved in GenAI rollouts. More than 70% named regulatory compliance among their top three challenges — above cost, talent, and technology limitations. Only 23% were 'very confident' in their ability to manage security and governance when deploying AI productivity tools.
In regulated industries, the question isn't whether AI can deliver value — it's whether you can deploy it without creating legal and compliance exposure. Most organizations can't answer that question yet.
Deloitte's 2025 research found that nearly half of employees are using AI tools that haven't been sanctioned, vetted, or secured by their organizations. Separately, average AI spend is projected to rise 36% year-over-year — with 93% of that budget going to technology and only 7% to people and training.
Shadow AI is already inside your organization. Without guardrails, you're accumulating data privacy risk, compliance exposure, and runaway costs — with no visibility into any of it.
Bright Horizons and EdAssist surveyed the U.S. workforce in 2025 and found that nearly 4 in 5 employees don't feel ready for AI in their role — and 65% say their employer has provided no AI training at all. A separate EY study of 15,000 employees found that companies are missing up to 40% of potential AI productivity gains due to workforce readiness gaps.
Deploying AI tools without investing in people doesn't create productivity — it creates confusion, distrust, and shadow workarounds. The technology ROI only materializes when people actually change how they work.
The question isn't whether these problems exist. It's whether you have a plan to avoid them.
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