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For managers and L&D leaders, this approach provides greater visibility into how skills evolve over time, helping to connect learning initiatives with business outcomes.


From learning to performance in the fl ow of work Beyond structured learning, the next stage of this evolution is the emergence of AI-powered performance layers such as Forge. These solutions extend learning into the  ow of work  analysing real-time signals and delivering contextual coaching at the moment it is needed, bridging the gap between capability building and execution.


Arnaud Blachon, CEO, Rise Up & Forge, says:


“The UK is facing an AI paradox. Organisations are investing heavily in AI tools, yet most still report signifi cant


skills gaps. Productivity gains cannot be unlocked by technology alone. Without structured upskilling that connects AI capabilities to real job performance, these tools remain underused. The organisations that will pull ahead are those treating workforce readiness as a core part of their AI investment.”


For organisations looking to build future-ready workforces, the AI Learning Shift represents a fundamental evolution. Rather than delivering learning as an isolated activity, it embeds performance support directly into everyday work, helping organisations turn skills into measurable impact. As this model continues to develop, solutions that connect learning with real- time eecution are set to la a defi ning role in the future of workplace learning.n


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