"For the past couple of years, AI adoption in learning has accelerated, supported by advances in generative capabilities, agent-based systems, and deeper integration with enterprise platforms. As these technologies have moved from pilots into broader use, one pattern has become clear: adopting AI tools alone, particularly generative AI, does not lead to business value. For L&D, expectations have risen alongside ongoing workforce pressures, particularly during the tight economic conditions of 2025."
"AI plays a leading role in this transition, but not on its own. From my experience traveling and meeting L&D leaders in all parts of the globe, I have seen that many early AI initiatives have delivered uneven outcomes, highlighting that value emerges when AI operates within well-designed ecosystems that strengthen human capabilities such as judgment, adaptability, and emotional intelligence."
2026 marks a critical transition for Learning and Development as evaluation shifts from platform sophistication to measurable workforce proficiency and business impact at speed and scale. AI adoption has accelerated through generative models, agent-based systems, and deeper enterprise integration. Early AI initiatives have produced uneven outcomes; value arises when AI functions within well-designed ecosystems that enhance human judgment, adaptability, and emotional intelligence. Economic pressures and compressed reskilling timelines in 2025 increased demand for rapid capability building. Organizations must move beyond activity-based metrics and demonstrate how learning improves workforce readiness, adaptability, and performance.
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