AI transformation stalls when training is reactive; it accelerates when L&D builds unified capability, governance and manager-led adoption.
AI's Real Impact On Training
Winter 2026
Features This Issue
A well-designed beginner AI course builds confidence by teaching how models predict, how humans prompt and why people must remain editors.
Effective AI training starts by teaching how models think, how to prompt with intent and why humans must remain editors.
AI is redefining learning needs, learner experience and impact measurement, forcing L&D to rethink its role as a strategic business partner.
AI enables L&D to move from proving learning happened to showing how learning changed behavior and performance.
Effective AI training starts by teaching how models think, how to prompt with intent and why humans must remain editors.
AI success depends less on tools and more on L&D’s ability to architect unified capability across roles, managers and workflows.
Callout
Training Industry Magazine
Best practices for developing effective training programs.
Thought Leaders This Issue
AI can accelerate learning design, but only humans can create training that connects emotionally and drives real change.
AI makes personalized learning scalable, but forces L&D to replace approval-based control with adaptive governance built on trust and guardrails.
AI is shifting L&D value away from content production toward judgment, systems thinking and leadership-level influence.
Job hugging keeps people in place, but only learning and growth turn fear into loyalty and disengagement into choice.
AI can strengthen learning, but only when L&D cuts through the hype and focuses on real capability, readiness and impact.
AI accelerates learning efficiency, but without effortful engagement it risks weakening the cognitive processes that make learning meaningful.
In this issue, we are pleased to spotlight Mike Saunderson, Ph.D., owner and director of Ethnopraxis, Inc. With over 14 years of experience supporting Fortune 500 organizations in training needs assessment, instructional design and evaluation, Mike’s work
It’s clear that artificial intelligence (AI) is changing the way we work. Leaders find themselves at the forefront of AI adoption and implementation.
Info Exchanges This Issue
AI makes it possible to scale narrative-based learning without sacrificing realism, creativity or instructional impact.
Organizations don’t need better training on every new tool — they need to teach people how to be good with technology itself.
In learning and development (L&D), some projects take on a life of their own, especially when large portions of the organization are impacted and there are high levels of visibility.
AI training is already happening through daily work, and L&D must guide it now or become irrelevant later.
Through its recent acquisition of learning management system (LMS) provider WorkRamp, closely followed by its acquisition of Elucidat later that month, Learning Pool aims to simplify learning and create an end-to-end learning ecosystem.
In the age of AI, winning organizations invest in skills, personalization and leadership capability — not static training programs.
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