The Role of Agentic AI in Modern Workforce Learning and Development

 Artificial intelligence has already changed many aspects of business, but the emergence of agentic AI is creating an even more significant opportunity for Learning and Development (L&D) teams. Unlike conventional software that primarily responds to predefined commands, agentic AI can be designed to understand objectives, make decisions, and take actions within defined boundaries.

This makes agentic AI in learning and development particularly interesting for organizations trying to scale employee training and workforce skilling.

Moving Beyond Basic Automation

Traditional learning technology can automate specific tasks. For example, an LMS can automatically send an email when an employee has not completed a course.

Agentic AI can take a broader approach. An AI agent may identify a learning requirement, recommend appropriate content, monitor progress, and initiate follow-up actions.

This creates a more continuous learning experience rather than a series of disconnected administrative activities.

Enthral's current platform uses agentic AI across its LMS and LXP, with capabilities designed to support recommendations, assessment generation, course creation, and other learning workflows. Organizations interested in this approach can explore Enthral's AI-powered LMS.

Identifying Skill Gaps

One of the biggest challenges facing organizations is understanding which skills employees currently have and which skills they need for their roles.

A modern agentic learning system can use available learner and role information to identify potential skill gaps. It can then connect those gaps with appropriate learning resources.

For example, if an employee is preparing for a new role that requires data-analysis skills, an intelligent system can recommend a learning journey focused on those specific capabilities rather than assigning an unrelated collection of courses.

Personalized Learning Journeys

Employees have different backgrounds, learning speeds, responsibilities, and career goals. A single training program may therefore not be equally effective for everyone.

Agentic AI can help create more individualized journeys. Enthral's LXP, for example, uses AI-powered recommendations and adaptive learning to align learning experiences with individual needs, skills gaps, and career objectives.

This can help employees spend more time on content that is relevant to their development.

Supporting L&D Professionals

Agentic AI is not intended to eliminate the role of L&D professionals. Instead, it can reduce repetitive operational work.

Learning teams can spend less time manually assigning courses, following up with learners, creating routine assessments, or compiling reports. This gives them more time to focus on learning strategy, organizational priorities, leadership development, and program effectiveness.

Enthral's 2026 L&D trend analysis similarly highlights the movement from manual course assignment and tracking toward agent-led learning journeys.

The Importance of Human Oversight

Despite its potential, agentic AI should operate within appropriate governance and oversight. Learning decisions can influence employee development and career progression, so organizations need transparency, privacy safeguards, and human supervision.

The strongest approach is generally a collaboration between AI and human experts. AI can handle scale and repetitive workflows, while L&D professionals provide context, judgment, and strategic direction.

Conclusion

Agentic AI is changing the concept of workforce learning from a system that simply delivers courses into one that can actively support employee development.

By identifying skill gaps, recommending learning, automating workflows, and adapting experiences, agentic AI can help enterprises build more responsive learning ecosystems.

As workforce skills continue to evolve, intelligent learning platforms are likely to become increasingly important for organizations that want continuous, personalized, and skills-focused employee development.