The 2026 Enterprise Learning Wake Up Call

The AI Readiness Gap

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. That’s the AI Readiness Gap, and the learning strategies meant to close it aren’t keeping up.

There is a disconnect between AI adoption and application

79%

8 out of 10 learning teams say they already leverage AI to generate content, assessments, and recommendations

91%

9 out of 10 learning leaders say their organizations have yet to fully redefine their workflows with AI

35%

Over a third of learning leaders say they’re still in the experimental stage when it comes to AI

The three biggest pressures faced by learning leaders today are AI adoption and fluency, developing skills in the workforce, and business transformation.

40.4%

AI adoption and fluency

24.2%

Skills

12.5%

Business transformation

Both learners and leaders agree that AI fluency is their number one priority. But it’s not the whole picture. Human skills like communication, critical thinking, and creativity remain essential as AI reshapes work, guiding how technology is applied responsibly and effectively. AI may change the tools, but people remain the competitive advantage.

Skills prioritized for 2026

Leaders

Learners

AI literacy and AI applied skills

Role-specific technical or functional skills

Data literacy and analytics

Digital transformation skills

Leadership and people management

Change management and adaptability

Communication and collaboration

Critical thinking and problem solving

Customer- or partner-facing skills

Compliance and risk management

Sales or commercial skills

Innovation and creativity

Other

1 in 5 learners have not received any AI training

Despite being a priority, training isn’t keeping up with the specific skills learners need to apply AI in their roles.

Have you received training that helps you understand or use AI in your role?

Yes, fully

Yes, somewhat

No, not enough

No training at all

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.

66%

of learners don’t feel fully supported by their organization.

57%

of learners feel training isn’t very relevant to their specific role.

56%

of learners lack full visibility into how learning impacts their career progression.

The Tension

This is what surveyed learning leaders had to say…

24%

Less than a quarter of learning leaders report that learning is fully aligned with business strategy at their organization.

22%

More than 1 in 5 learning leaders struggle with stakeholder buy-in.

43%

Fewer than half of learning leaders feel very confident connecting learning to business results.

The Blueprint

Bridging the AI Readiness Gap

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

Listening to Learners

Maximizing the learning experience with AI

Recommendations and virtual coaching are among the top 5 ways learning leaders plan to leverage AI this year.

Analytics and insights

Virtual coaching

Chatbots

Personalized recommendations

Content authoring


Measuring What Matters

Aligning learning to business

Fewer than half of learning leaders feel very confident in connecting learning to business results, making it harder to justify investment and sustain momentum.

The good news is that many learning leaders are already measuring performance and business metrics in addition to completion data.

Which outcomes do you track to understand the impact of learning?

Performance metrics (sales, quality, productivity)

Behavior change or skill adoption

Employee engagement or NPS

Learner completion survey

Customer satisfaction or NPS

Retention or internal mobility

Product adoption

Time to first sale for partners

Customer churn

Skills Intelligence

A different approach to learning delivery

The need for skills development is urgent, with AI fluency highly prioritized by learning leaders. But organizations are still relying on static learning models, unable to keep pace with how quickly work, roles, and technologies are changing.

Skills intelligence offers a different approach, a fluid data-driven one for continuously detecting emerging capabilities, identifying gaps, delivering targeted learning and upskilling, and validating progress.


Success Index

Results from enterprises leveraging personalized learning and skills intelligence

These organizations moved beyond fragmented learning to build connected ecosystems powered by AI, enabling hyperpersonalization and skills intelligence. In doing so, they built systems ready for continuous change.

DIVE DEEPER INTO THE DATA

Learn more about what’s widening the AI Readiness Gap in enterprises in the full report.

See how you measure up

Want to see how ready you are for the future? Take our Learning Performance Index to find out.