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The AI Readiness Gap

The 2026 Enterprise Learning Wake up Call

AI adoption is accelerating, but readiness is lagging. This global study reveals why skills (not tools) are the true unit of AI readiness, and what enterprises must do to close the gap.

The AI Readiness Gap

The 2026 Enterprise Learning Wake up Call

AI adoption is accelerating, but readiness is lagging. This global study reveals why skills (not tools) are the true unit of AI readiness, and what enterprises must do to close the gap.

Enterprise Learning Today

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.

There is a disconnect between AI adoption and application.
79%
of learning teams say they already leverage AI to generate content, assessments, and recommendations
91%
of learning leaders say their organizations have yet to fully redefine their workflows with AI
35%
of learning leaders say they're still in the experimental stage when it comes to AI

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.

The Friction
The Friction

Why learning isn’t translating into performance

Learners are struggling to see how the training they receive builds the specific skills they need to perform and grow.

Do you feel supported by your manager or organization when it comes to learning?
66%
of learners don’t feel fully supported by their organization.
The Blueprint
The Blueprint

Building an AI-ready learning strategy

Closing the AI Readiness Gap requires more than new tools or more training hours. It demands a fundamental shift in how organizations think about learning, skills, and performance.

The organizations leading the way share a common approach: they've stopped treating learning as a support function and started treating it as a strategic capability. They're building learning ecosystems that are adaptive, skills-based, and deeply integrated with the flow of work.