Skip to main content

Using AI in L&D today, to be ready for tomorrow

AI isn’t just around the corner – it’s already transforming the way we work and learn. But how can Learning and Development (L&D) teams make the most of it today? In this podcast episode , we’re joined by Egle Vinauskaite, a learning technology and AI consultant, to uncover the real impact of AI on workplace learning. Egle unravels the biggest opportunities, challenges, and common mistakes L&D teams face when integrating AI into their strategies.

Watch the full podcast video

Top tips for using AI in L&D today

Don’t have time to listen now? Here’s a quick summary of what you’ll learn in this episode:

  • Focus on the problem, not the tool – Focus on real challenges first, then explore how AI can help solve them.
  • Make AI a strategic effort – To leverage AI fully, move beyond basic AI use and tackle investment and planning barriers head on.
  • Shift your mindset – More than just tools and skills, AI adoption requires a cultural shift that embraces experimentation and innovation.
  • Uncover and scale AI innovation – Identify existing AI experiments and scale them into impactful initiatives.
  • Augment instead of automating – Use AI to support, not replace, human expertise.
  • Step up and lead AI adoption – Take ownership of AI to secure L&D’s future role.

1. Focus on the problem, not the tool

Instead of jumping on the latest AI trends, L&D teams should begin by identifying critical pain points in learning processes. Only then should they explore how AI can be applied to address those challenges effectively.

“Start with a problem, maybe even a bold one. Otherwise, you’ll be overwhelmed by the sheer number of AI possibilities and tools out there.”

2. Make AI a strategic effort

Most L&D teams use AI in basic ways, but adoption significantly drops when it comes to more complex applications like AI-driven personalization and skills intelligence. The key reason? Moving beyond simple AI use often requires new skills, additional budget, and integration with other business systems.

“We found it notoriously difficult to find organizations that have gone beyond using AI for simple tasks. Every step further requires more resources, skills, or relationships.”

3. Shift your mindset

While data privacy and security concerns are frequently cited as blockers, the biggest challenge to AI adoption is mindset. Organizations need to foster a culture that encourages innovation, experimentation, and the strategic integration of AI.

“Do you as a leader have a strategic vision for AI in L&D? Can you make that case to the rest of the organization? Is the organization itself ready? These are the real blockers and enablers.”

4. Uncover and scale AI innovation

AI experimentation is already happening within organizations – often informally. L&D teams should identify where AI is already being used by employees and build on those insights to scale AI-driven learning initiatives.

“Your people have been using AI for years, often under the radar. Rather than starting from scratch, uncover those existing innovations and turn them into formalized best practices.”

5. Augment instead of automating

AI works best when it enhances human expertise rather than replacing it. L&D teams should focus on using AI as a support tool to streamline content creation, personalize learning experiences, and free up time for more strategic initiatives.

“AI is at its best when it augments and not automates your work. We need to understand both our processes and what good looks like to use AI effectively.”

6. Step up and lead AI adoption

L&D teams are uniquely positioned to help organizations navigate AI adoption, yet many are not included in strategic AI discussions. To stay relevant, L&D must take ownership of AI literacy and support AI-driven workplace transformation.

“L&D must take ownership of AI adoption to remain a vital part of the organization. If it fails to step up, other departments will lead the charge, and L&D risks being sidelined.”

About Egle

Egle is a Learning, AI, and Technology Consultant specializing in AI-driven learning strategies and workplace transformation. As Learning Strategist and Director of learning innovation studio, Nodes, she helps organizations integrate cutting-edge technologies into their L&D strategies. She also co-authors industry reports and shares expert insights on AI adoption in corporate learning.

Connect with Egle on LinkedIn.

Want more learning insights?

Stay ahead with the latest tips, expert learnings, and best practices from top learning managers and global leaders – delivered straight to your inbox. The Learning at Large newsletter brings you insider content each month to help you create, manage, and deliver engaging learning at scale.

Subscribe now and never miss an edition!

Enjoyed the podcast? Don’t forget to rate it in your favorite podcast app. Thanks for tuning in – we’ll see you next time!

Learning at large podcast newsletter