3 Roles of Learning Professionals in the Age of AI

As AI becomes the dominant force of change, conversations about learning are increasingly shaped by the latest AI tools. There is this implicit belief that our previous knowledge no longer applies, and we need to relearn how to learn; or with AI tools, learning will happen automatically, and learning professionals will all be out of jobs.

Technology has always influenced how we access information and design instruction. In the face of technological disruption, there's a temptation to believe that learning itself must evolve to match the technology. We see this in persistent myths: that attention spans are shrinking, that passive content no longer works, and that instruction must always be interactive or multi-sensory.

What AI changes are the tools we use to access information, facilitate instruction, and design learning experiences. But it doesn’t rewrite the fundamental mechanisms by which humans learn. Those mechanisms of learning are cognitive, social, and biologically grounded. Our brains haven’t changed, even if our tools have.

Information Isn’t Knowledge

This distinction between information and knowledge is essential. AI systems can generate and organize information. But knowledge requires structure, context, and lived experience. It’s built in human minds, not just stored in systems.

Organizations often invest in knowledge management systems with the hope that surfacing information will lead to better decisions. But the information only becomes knowledge when a human uses it in a manner that benefits the organization. Without it, the knowledge management system is just an archive.

Another example of mistaking information for knowledge: an executive who proudly claimed, “I don’t need my communications specialist anymore. ChatGPT wrote this for me.” The message they had implied job reduction due to the integration of AI tools. Again, having the tool that can generate communication pieces doesn't mean one has the knowledge of how to write a good communication piece for any particular situation.

As Davenport and Prusak wrote in Working Knowledge, “Knowledge originates and is applied in the minds of knowers.” Without human engagement, a knowledge base is just a database.

The Role of Learning Professionals

In an AI-powered world, Learning and Development (L&D) professionals are no longer just content creators. Our roles are evolving in three critical ways:

1. Stewards of AI Use in Learning

Our role shifts from content creators to stewards of the AI tools. We are responsible for putting guardrails around emerging technologies, ensuring that AI tools are applied with sound learning science and ethical frameworks in mind. This includes:

• Feeding the right content into the system

• Applying instructional design principles to guide how AI assembles learning experiences

• Embedding ethical guidelines into prompts and usage policies

• Writing effective prompts that guide the AI to generate meaningful, inclusive, and accurate outputs

• Evaluating AI-generated content for quality, alignment, and instructional value

2. Facilitators of Human Sense-Making and Communities of Learning

Even when AI generates content, learning professionals need to support understanding, application, and peer learning.

• When onboarding modules are auto-generated by scraping documents, we can’t just hand them to new hires and a chatbot. We must contextualize, support reflection, and provide human connection.

• When AI generates sales scripts, we must help teams interpret, adapt, and practice using them effectively—not assume the scripts alone are sufficient.

3. Champions of the Skills of the Future

Rather than chasing every new tool, we shift the focus to durable skills that help people thrive in AI-mediated environments:

• Metacognition: Helping learners become aware of how they think and learn

• Transfer: Supporting the ability to apply knowledge in new and complex situations

• Evaluation: Teaching learners to assess AI-generated outputs for accuracy, bias, and relevance

• Contextual judgment: Encouraging learners to ask, “Does this make sense for our goals, values, and audience?”

Last Words: L&D as Stewards of Learning Integrity

AI is changing the learning landscape, but it isn’t changing the nature of learning itself. In times of rapid innovation, it is tempting to believe that newer is better, faster is smarter, and technological advancement is progress. But real learning still takes time, reflection, practice, and human connection. As L&D professionals, our responsibility is to ensure new tools are used in the service of learners and educators, to solve specific problems faced by people, rooted in learning science, and aligned with our evolving thinking around a more equitable society.