NIIT MTS and St. Charles unveil 2026 learning survey

NIIT Learning Systems Limited (NIIT MTS) in collaboration with St. Charles Consulting Group, has announced the release of the 2026 Global Learning Transformation Benchmark Survey, highlighting how organisations worldwide are navigating learning transformation in an AI-driven environment.

The benchmark report, titled Rebuilding L&D for an AI-Driven World, draws insights from Chief Learning Officers, HR leaders, and senior executives across Global 500 companies. It provides a comprehensive, system-level view of how enterprises are modernising learning and development (L&D), integrating artificial intelligence, and preparing for a skills-based workforce future.

The study identifies a structural tension within organisations: while leaders are aligned on strategic priorities, readiness to execute at scale remains uneven. The findings show that ambition around AI-enabled learning and skills-based strategies is accelerating, but governance frameworks, measurement credibility, data integration, and operating models are struggling to keep pace.

The research evaluates transformation maturity across five critical domains, skills and talent architecture, AI-enabled learning readiness, priority-execution alignment, learning-business credibility, and operating model evolution. Together, these areas determine whether learning functions can scale effectively as AI becomes embedded in everyday work.

According to the findings, AI acts as an amplifier, strengthening organisations with solid infrastructure while exposing weaknesses in systems that lack governance, shared standards, and credible measurement. Although measurement activity has increased across enterprises, learning metrics often lack influence in executive decision-making, limiting their strategic impact.

The report underscores that sustainable transformation requires treating learning as enterprise infrastructure rather than a standalone program. Organisations that embed clear governance structures, trusted data systems, and federated decision models are better positioned to scale innovation safely and deliver long-term advantage.

For NIIT MTS, the survey reinforces its positioning as a strategic partner in workforce transformation across more than 33 countries. For St. Charles Consulting Group, the research adds to its advisory expertise in helping Fortune 1000 organisations design talent systems aligned with future capability demands.

The 2026 benchmark survey provides leaders with a data-backed framework to assess structural gaps, mitigate risk, and accelerate enterprise-wide learning transformation in an increasingly AI-enabled world.

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