Enterprise L&D In 2026: Trends And Predictions [eBook Launch]

"What Are The Top Priorities For Enterprise L&D Teams This Year? Are your employees getting the most from AI and automation? This report by Together from Absorb delves into how AI is transforming roles and why organizations should focus on people's skills, adaptability, and leadership capabilities to evolve. It features research from primary and secondary sources to deliver informed insights and recommendations, including survey data from L&D and HR pros."

"Preparing Your Workforce For The Future This guide offers insights on what's changing in the modern workplace, what those changes mean for your workforce, and where organizations are investing based on survey findings. You'll also uncover where organizations feel unprepared for emerging challenges and which human skills and competencies matter most when implementing AI. For example, data literacy and cybersecurity basics are now critical focal points for L&D."

"How can leaders mesh modern tech with human connection? What are the top ways AI is being used by L&D teams? Here's a quick look at what's inside this guide: Executive Summary: Highlighting the urgent need for people enablement. 2026 Top L&D Priorities: Examining where HR and L&D leaders are focusing their efforts for 2026-and how these priorities serve as the foundation for AI-enabled transformation. AI Readiness: Determining your function's AI readiness, potential risks, and how to approach buy-in and training for all stakeholders."

Organizations must prioritize people enablement and AI readiness to ensure employees use AI and automation effectively. L&D and HR leaders are focusing on skills, adaptability, and leadership capabilities as foundations for AI-enabled transformation. Survey research and combined sources indicate investment areas and expose where functions feel unprepared for emerging challenges. Critical competencies include data literacy and cybersecurity basics as part of core L&D priorities. Buy-in and stakeholder training are necessary to mitigate AI risks and enable adoption. Social learning and mentorship should be emphasized to overcome implementation barriers and accelerate capability development across the workforce.

Read at eLearning Industry