From AI Promise To Capability: What L&D Teams Need To Close The Skills Gap [eBook Launch]

"Organizations are developing AI training programs rapidly, yet the necessary conditions for effective learning, such as dedicated time, focus, and guidance, are struggling to keep pace. While training sessions are delivered, the actual capability-building often falls short. This disconnect raises important questions: why does this gap exist, and how can it be bridged?"

"When TalentLMS surveyed over 1,100 U.S. professionals for its 2026 Annual L&D Benchmark Report, a pattern emerged: the people designing AI learning programs and those receiving them don't see eye to eye. This eBook draws on data from that report to explore why that happens and what L&D teams can do about it."

"Where is the disconnect between how leaders and employees view AI training? Why do workforce skill gaps persist despite employees receiving more training than ever? Here's what you'll find in TalentLMS's new eBook: The Perception Divide: Training Satisfaction And AI Learning Support Gap; Workforce Readiness: Navigating Skill Gaps And Future Priorities; L&D In The Age Of AI: Design, Deployment, And Dilemmas; 10 Data-Backed Interventions: Turn Learning Into A Growth Engine; The Anatomy Of Workplace Learning: From Training To Trajectory."

"AI is transforming learning design, talent management, and the most critical skills, but there are challenges that accompany these changes. AI training that works requires aligning learning support with workforce readiness and future priorities, and turning training into measurable capability growth through targeted interventions."

Organizations are rolling out AI training programs quickly, but effective learning conditions like dedicated time, focus, and guidance are not keeping pace. Training may be delivered, yet capability-building often falls short, leaving workforce skill gaps unresolved. A survey of over 1,100 U.S. professionals shows a perception divide between those designing AI learning programs and those receiving them. L&D teams need to address readiness, future skill priorities, and the design and deployment dilemmas created by AI. Practical interventions can turn learning into measurable growth by shifting workplace learning from one-time training toward a learning trajectory aligned to capability development.

Read at eLearning Industry