Artificial intelligence (AI) is transforming industries, and corporate learning is no exception. Organizations are investing in AI-powered training tools, hoping to revolutionize the way employees learn. However, not all AI implementations will lead to marginal gains in terms of corporate learning.
As Meghan Cipperley, Senior Vice President of Learning at Data Society, explains:
“You shouldn’t use AI for the sake of using AI. If you’re not getting any more insight out of building an interactive chatbot for knowledge checks, and it doesn’t necessarily improve learner outcomes, it’s a waste of time.”
This raises an important question: How can organizations use AI strategically to improve learning outcomes, rather than just adopting it as a trend?
When AI Works: The Value of Smart Learning Tools
AI can significantly enhance training when used effectively. As the eLearning Industry recommends, “Use AI to create personalized learning paths and provide real-time feedback. Data analytics can help identify which interventions are most effective for different learners.” Some of the most successful applications of AI in learning include:
- Adaptive Learning Paths: AI-driven platforms can tailor content based on individual progress and knowledge gaps, allowing employees to prioritize the skills they need most. (Harvard Business Review)
- Just-in-Time Learning: AI-powered search tools help employees find relevant information quickly, making training more efficient and immediately applicable. (McKinsey & Company)
When AI Fails: Technology Without Purpose
Despite its potential, AI fails when it does not align with real learning objectives. Meghan points out:
“It’s still a human problem. Getting back to those first principles of the learning experience and making that your end user for everything you create is the same guiding principle that’s served learning and development professionals well.”
Research from MIT Sloan Management Review confirms that AI works best with interactive, instructor-led experiences (MIT Sloan). AI should support, not replace, the human aspects of learning—engagement, discussion, and critical thinking.
How Organizations Should Approach AI in Training
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Use AI to Enhance, Not Replace, Learning Experiences
AI should support personalization and efficiency, not add complexity to the training session. -
Measure ROI Before Scaling AI Investments
Organizations must assess whether AI improves knowledge retention and skill application before expanding its use into other areas. -
Maintain Human-Centered Learning
AI is a tool, but human interaction remains the key for session engagement and learning retention.
Final Thoughts
AI has enormous potential in learning and development, but it must be used strategically in the proper context. Companies that focus on solving real training challenges, rather than following trends, will see the greatest benefits.
Want to use AI to improve learning outcomes, not just add complexity? Contact Data Society to build a data-driven, AI-powered training program that delivers real value.
