The AI readiness gap
Enterprises are moving fast on AI, but their people are being left behind. The result is an AI Readiness Gap driven by urgent skill needs that learning strategies aren't yet meeting.
The skills gap is accelerating
As organizations rush to implement AI across their operations, a fundamental disconnect has emerged. Technology adoption is outpacing the human capacity to adapt. The tools are in place, but the workforce isn't equipped to use them effectively.
This isn't a training problem in the traditional sense. It's a strategic misalignment between what organizations are investing in and what their people actually need. Learning programs are still largely built around compliance and content delivery, not around building the adaptive skills that AI-augmented work demands.
What the data reveals
Our research surveyed over 2,500 learning leaders and practitioners across 14 countries. The findings paint a clear picture: organizations are confident in their AI tools but uncertain about their people's readiness to use them.
The gap between AI adoption and AI readiness isn't closing. In many organizations, it's widening. Leaders recognize the urgency, but most lack a clear framework for building the skills their workforce needs to thrive in an AI-driven environment.
The most telling finding: while the vast majority of organizations have deployed AI tools, fewer than one in three have fundamentally rethought how they approach learning and development in an AI context. The old playbook doesn't work anymore.