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AI-Powered Personalized Learning Surges 146% as Employees Build Skills in the Flow of Work

Employees are driving demand for real‑world learning and reshaping how organizations build AI‑ready teams

BOSTON--(BUSINESS WIRE)--Today, Skillsoft (NYSE: SKIL), a leading AI-native skills management platform, announced user experience and adoption findings that signal a turning point in enterprise learning. As AI becomes part of everyday work, learners are increasingly seeking personalized, real-world learning embedded directly into the flow of work, rather than relying on static, one-size-fits-all training.

Over the past year, usage of Skillsoft CAISY™ increased 146% year over year. Launches of CAISY simulation experiences rose 341% during the same period, growing 2.3x faster than the overall learner base.

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Over the past year, usage of Skillsoft CAISY™, the AI-powered conversation-based learning experience, increased 146% year over year. Launches of CAISY simulation experiences rose 341% during the same period, growing 2.3x faster than the overall learner base.

This growth signals a shift in enterprise learning, as accelerating change renders traditional, static, long form video training insufficient. Employees now learn in the flow of their work through AI‑powered, practice‑based experiences that let them rehearse real‑world situations, receive feedback, and build confidence before applying skills on the job.

“Since its launch in 2023, CAISY has reflected a broader shift toward learning that happens in the flow of work,” said Gina Smith, PhD, Research Director at IDC. “By using AI-supported, practice-based experiences across a range of skill areas, Skillsoft enables organizations to help employees build and apply skills in real work contexts, rather than separating learning from day-to-day execution.”

While $2.5 trillion is forecasted to be invested in AI initiatives in 2026, much of that investment may fail to deliver ROI due to gaps in workforce readiness and skills alignment. The challenge isn’t the technology; organizations must equip employees with the skills to apply AI effectively. Without systems to build and apply skills in real time, execution slows and value is lost. Skillsoft addresses this gap with an AI-native skills management platform that supports employee-led learning while ensuring development remains guided, measurable, and aligned to real performance in the flow of work.

“Employees are pulling learning into the flow of their work as AI becomes embedded in daily tasks, rather than waiting for one‑size‑fits‑all training,” said Bernard Barbour, Chief Technology and Product Officer at Skillsoft. “The risk is that unmanaged learning can lead to inconsistency and poor execution. Organizations need to strike the right balance — enabling employees to build skills in real time, in the ways they prefer, while ensuring learning remains guided and aligned to outcomes that drive the business.”

Learn more about the Skillsoft Percipio Platform at skillsoft.com.

User adoption data is sourced from Skillsoft Percipio in aggregate, representing total CAISY user activity from December 2024 to December 2025.

About Skillsoft

Skillsoft (NYSE: SKIL) is a global leader in AI-native skills management for the human + AI era. By unifying learning, real-time skills intelligence, and workforce insights, Skillsoft helps enterprises build their Skillforce™ — humans and AI working together to drive measurable business outcomes. Through personalized, interactive learning across leadership, technology, and compliance, Skillsoft enables organizations to close critical skill gaps and accelerate transformation. Skillsoft is trusted by thousands of organizations worldwide, including 60% of the Fortune 1000, and supports a global community of more than 105 million learners. Learn more at skillsoft.com. CAISY™ and Percipio® are registered trademarks of Skillsoft Corp.

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Ross Collins
SKIL@alpha-ir.com

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Skillsoft PR
PR@skillsoft.com

Skillsoft

NYSE:SKIL

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Contacts

Investors
Ross Collins
SKIL@alpha-ir.com

Media
Skillsoft PR
PR@skillsoft.com

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