AI tools are easy. Adoption is the hard part. Most organizations don’t struggle to access AI; they struggle to adopt it. The tools are cheap, fast, and easily available. Getting people to use it consistently and at scale is a core problem.
The facts are blunt-over 70% of pilots don’t make it past the pilot stage. Productivity gains only appear when AI is embedded into daily workflows, not used as a side experiment, and this means that without the correct implementation and support structures, responsible AI becomes a reason to delay instead of a framework to move faster, safely.
The gap between experimentation and adoption is well-documented. According to IBM Newsroom, roughly 42% of large enterprises report actively deploying AI, while another 40% are still stuck in exploration or experimentation. This tells us that most organizations have not moved beyond pilots into meaningful, scaled use.
Speaking to Bloomberg Television at the World Economic Forum in Davos, Accenture CEO Julie Davis said, “If leaders don’t understand AI, they can’t lead…they need to touch the keyboard”- this further tells us that leadership engagement is part of the adoption issue. Until company leaders are ready to engage directly with AI and how decisions are made, organizations will continue to confuse experimentation with real adoption.
