Organizations spend enormous time and money deploying AI tools — licenses, training, policy documents. Six months later, adoption is flat. The failure mode is always the same: they treated AI adoption as a technology problem, when it was a human problem all along.
And inside the organizations using it, 57% of employees say they have used AI without being transparent about it, and 66% say they rely on its output without evaluating accuracy. University of Melbourne and KPMG, 2025
- No ownership
- Nobody in the C-suite owns the human side of AI. It falls between CTO, CHRO, and COO — and lands nowhere.
- No behavioral change
- Tools are deployed without changing how people actually work. Old habits persist. New tools sit idle.
- No enablement infrastructure
- No playbooks, no adoption metrics, no feedback loops. Each team figures it out alone — or doesn’t.
- No cultural foundation
- Fear, secrecy, and resistance go unaddressed. Without psychological safety, adoption stays underground.