UNICON and Nexed Insight have released a major new research report exploring one of the defining questions facing learning providers and their clients today: how will learning evolve to support the unique challenges posed by AI transformation?
Executive Learning at the Speed of Change draws on interviews with senior transformation leaders, technology executives, CLOs, and functional leaders, alongside survey data from 180 organizations across the US, UK, Europe, and Singapore.
180
organizations surveyed across the US, UK, Europe and Singapore
4
geographies covered: US, UK, Europe, and Singapore
7
critical questions explored in the full report
What the Research Found
One of the clearest findings to emerge is that organizations are relatively clear about both where they are today — and where they need to get to. As one transformation leader described it, the challenge is moving from functional optimization to cognitive systems thinking: breaking down siloed, highly optimized parts of the organization and enabling them to operate as a more connected, sensing whole system.
This requires far more than technical AI capability alone. Organizations increasingly recognize that unlocking value from AI depends on strategic and systems-level leadership capabilities: breaking down silos, enabling cross-functional collaboration, and rethinking how decisions, data, and workflows connect across the enterprise.
"From functional optimization to cognitive systems thinking" — breaking down siloed, highly optimized parts of the organization and enabling them to operate as a more connected, sensing whole system.
Key Shifts Underway
The findings reveal three broad shifts reshaping how organizations think about learning and AI transformation:
Beyond Efficiency
Organizations are moving beyond using AI simply to improve efficiency, toward rethinking how work, collaboration, and decision-making operate across the enterprise.
Learning Models Under Pressure
Existing learning models are increasingly seen as too slow, too generic, and disconnected from real work.
Adaptive Learning Rising
Demand is rapidly shifting toward continuous, work-embedded, cross-functional learning closely tied to live business challenges.
What the Report Covers
The report explores seven critical questions facing executive education providers and their organizational clients:
The biggest barriers slowing AI transformation today
Why AI literacy is emerging as both a critical capability and a moving target
How organizations view learning in the context of rapid technological change
The growing tension between outsourcing AI capability and building it internally
Why second-line leaders have become a critical pressure point in AI transformation
What organizations now expect from learning partners — and the emerging opportunity for executive education providers
The report also introduces a new AI Maturity Index, helping map how learning needs evolve at different stages of AI transformation — a practical framework for executive education providers assessing where their clients are and what they need next.
For learning partners able to support organizations through this transition, the research points to a significant opportunity — particularly in domains where executive education providers and business schools have traditionally been strongest: strategic thinking, organizational design, systems thinking, adaptability, and leadership development.
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