Speakers:
- Derek Bruce, chief learning officer at Easygenerator
- David Wentworth, Managing director of learning and talent, Brandon Hall Group
Description:
In this thought-provoking episode, David Wentworth, Managing Director of Learning and Talent at Brandon Hall Group, sits down with Derek Bruce, Chief Learning Officer at Easy Generator, to challenge the prevailing rush to use AI for content creation in L&D. Rather than asking what AI can do, they push organizations to first ask what they’re actually trying to achieve — arguing that without a clear purpose and human expertise at the center, AI-generated learning content risks being generic, decontextualized, and ultimately ineffective.
Key Takeaways:
- Purpose must come before production. Before deploying AI for content creation, organizations need to clearly define what behavior change or business outcome they’re working toward. Too many teams are asking “what can AI make?” before they’ve answered “what are we actually trying to do?” — and the resulting content reflects that lack of direction.
- Author First, AI Second is a guiding principle. Subject matter experts, instructional designers, and content creators must remain the driving force behind any learning initiative. AI on its own can’t replicate the organizational knowledge, nuance, and contextual judgment that experienced practitioners bring — and content created without that human foundation tends to be generic and disconnected from real learner needs.
- Democratization has limits. AI has lowered the barrier to entry for content creation, but access and quality are not the same thing. Just because anyone can now produce a learning module doesn’t mean they should do so without oversight or expertise. The L&D field already struggles with too much content of questionable value — AI risks amplifying that problem if not thoughtfully managed.
- AI’s real strength lies in augmentation, not automation. The most impactful uses of AI in L&D aren’t about replacing human creators — they’re about handling tasks that are difficult or time-consuming for people to do alone, like identifying skills gaps through data analysis, surfacing personalized learning recommendations, delivering real-time coaching feedback, and supporting learning in the flow of work.
- The future of L&D is capturing and amplifying expertise. Organizations that win with AI won’t be the ones generating the most content — they’ll be the ones using AI to scale and surface the knowledge their people already have. The goal isn’t automation of learning production; it’s augmentation of human expertise, judgment, and impact.
Rather than framing AI as a threat, David and Derek land on a more optimistic and pragmatic vision: AI as a powerful augmentation tool. When used thoughtfully, AI can handle the heavy lifting — identifying learning gaps through data analysis, supporting personalized learning paths, enabling real-time feedback, and facilitating learning in the flow of work — freeing human practitioners to focus on strategy, creativity, and impact.
