edForce Enterprise Learning Report highlights growing investment in AI workforce readiness

The edForce Enterprise Learning Report points to a major shift in how organisations are preparing for artificial intelligence adoption. Rather than relying primarily on external hiring, enterprises are increasingly investing in workforce development to build the skills needed for large-scale AI deployment.

According to edForce's FY2025-26 enterprise learning data, organisations are expanding investments across Agentic AI, cloud computing, cybersecurity, leadership development and certification-led learning. The trend suggests that businesses are treating AI adoption as a long-term capability-building exercise rather than a standalone technology project.

Agentic AI emerges as the fastest-growing learning area

Among all learning categories, Agentic AI recorded the strongest growth. Learner participation doubled year-on-year, reaching 57,536 learners. The increase reflects a broader shift from experimentation to implementation. As AI moves deeper into enterprise operations, organisations appear focused on developing teams that can build, manage and scale AI systems in real-world environments.

The findings indicate that Enterprise AI workforce capability is becoming a strategic priority as businesses seek practical expertise rather than theoretical understanding.

Building the foundations for AI adoption

The report also highlights growing investments in supporting technologies required for successful AI deployment. Cloud Computing training increased 29% to 41,876 learners, while DevOps training grew 26% to 31,211 learners. Cybersecurity training saw a 39% increase, reaching 25,448 learners.

These trends suggest that organisations recognise AI cannot operate in isolation. Infrastructure, deployment practices and security frameworks are becoming equally important parts of enterprise transformation efforts. The growing focus on cybersecurity training also reflects increasing attention towards Cybersecurity frameworks for agentic AI architectures as enterprises prepare for more advanced AI environments.

Why certifications and leadership training are gaining importance

The data reveals a parallel focus on measurable skills and organisational leadership. Certification-linked learning increased 36% to 38,562 certifications, highlighting the growing importance of Validating AI engineer skills via professional certifications and structured learning pathways.

Leadership training emerged as the second-fastest growing category, rising 46% to 11,965 learners. This suggests organisations are preparing both technical and business leaders to manage transformation initiatives linked to AI adoption.

A broader transformation story

Commenting on the findings, Ravi Kaklasaria, Co-Founder and CEO of edForce, noted that enterprise learning is becoming increasingly outcome-driven, with organisations focusing on capabilities that directly support AI adoption and business transformation.

The data ultimately points towards a larger trend: enterprises are approaching AI implementation as an organisation-wide transformation that requires investment in technology, leadership, security and validated skills.

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