For years, organizations have invested heavily in training and development programs, and they rely on annual or semi-annual performance reviews to determine whether employees have improved. Everything was episodic. Artificial intelligence (AI) gives learning and development (L&D) teams the opportunity to move beyond these isolated events by continuously supporting a hyper-personalized learning experience that improves performance.

Training was one of the first HR functions to adopt AI at scale, primarily to develop content faster. While much of the early focus has been on using AI to build training more efficiently, its real advantage is in continuously supporting performance before, during and after learning occurs.

A Shift in Mindset

The question for L&D needs to shift from “How do we create better training?” to “How do we create better performance every day?”

Training events happen occasionally, but performance happens every day. AI allows organizations to move from one-time learning interventions to continuous performance enablement in the flow of work, where employees need help most.

For example, when a customer service representative is on a call with a challenging customer, AI can provide in-the-moment suggestions to help de-escalate the conversation and resolve the customer’s problem. When a manager needs to meet with an employee who is having performance challenges, they can consult an AI coaching assistant, provide context and receive tailored guidance for the conversation.

Rather than engaging in training and waiting for a situation to arise to apply that learning, employees can put new skills into practice immediately, reinforcing learning when it matters most. This is particularly valuable given the Ebbinghaus Forgetting Curve, which suggests that people forget roughly half of what they learn within an hour, and about 70% within 24 hours. AI can help bridge that gap by making support available in the moment it’s needed.

5 Ways AI Can Improve Performance Enablement

Here are five ways AI can help L&D advance how employees learn, develop and perform.

1. Better feedback

According to Gallup, only 21% of employees receive feedback that is meaningful and helps them to improve. Managers often struggle to deliver effective feedback. They may rely on recent events rather than long-term performance, base evaluations primarily on their own observations instead of gathering broader input, wait too long to provide coaching or deliver feedback in ways that discourage employees from listening.

AI can provide tremendous assistance to managers by gathering, synthesizing and summarizing feedback from multiple sources at any point in time, giving managers a more complete picture of employee performance. While AI cannot replace the manager’s role, it can strengthen coaching conversations by suggesting clearer, more actionable ways to communicate feedback.

2. Personalized development

AI enables highly personalized development planning. It can assess an employee’s current skills, identify the capabilities needed to achieve business goals and consider individual career aspirations.

Using this context, AI can recommend training and new opportunities to build the skills needed for career advancement. It can also help map out development plans that meet employees where they are today while providing opportunities to safely practice new skills before applying them on the job.

3. Reducing administrative work

Managers spend significant time scheduling meetings, tracking performance against goals, documenting performance conversations and writing performance reviews. AI can automate much of this administrative work, allowing managers to spend more time coaching employees.

Research found that generative AI can reduce professional writing time by about 40% while improving output quality. However, manager should never hand an AI-written performance review to their employee. While research indicates employees may appreciate well-written AI-assisted feedback, trust declines if they discover the manager played little or no role in creating it. AI can help write a first draft, but managers need to refine and make the review their own.

4. Real-time learning in the flow of work

AI not only can helps L&D develop bite-sized training more quickly, but it also delivers support when employees need it most. Instead of waiting for the next training course, employees can receive job aids, recommended resources or coaching prompts the moment they encounter a challenge.

AI-powered nudges can also help managers become more effective coaches. Reminders can prompt managers to check in with employees, revisit previous commitments or prepare for upcoming conversations. AI-generated coaching prompts can encourage better questions and more meaningful discussions that support employee growth.

5. Better insight into organizational capability

Rather than focusing only on course completions or training participation, AI can analyze organizational data — when paired with business strategy and workforce context — to identify emerging skills gaps and broader capability needs. These insights help L&D leaders prioritize development initiatives that address the organization’s most critical business challenges instead of simply delivering more training.

3 Cautions for L&D Leaders

There is a lot to be excited about when we think about how AI can help improve skills and support performance enablement. However, L&D leaders should avoid several common pitfalls.

1. Don’t automate poor processes

Technology should enable the process, not define it. Too often, companies adapt their practices to fit the technology rather than choosing technology that supports their strategy.  Start by designing the learning and performance experience you want to create, then select AI-enabled tools that support those goals. Don’t compromise an effective process because that technology can’t support it.

2. Keep humans in the loop

AI excels at generating content and surfacing information but learning professionals and subject matter experts understand the organization’s business strategy, culture and workforce in ways AI cannot. Designing effective learning experiences and performance support still requires human judgment, empathy and context. AI should enhance those capabilities, not replace them.

3. Protect trust

Today’s AI tools can track employee performance in ways that were not previously possible. Used appropriately, this data can support coaching and development. Used poorly, it can feel like surveillance and erode trust.

Managers should be transparent about what information is being collected, why it is being collected and how it will be used to support employee development. When employees understand that electronic performance monitoring exists to help them learn and improve, they are far more likely to accept it. Without that transparency, monitoring can quickly shift from coaching to surveillance, damaging trust across the organization.

Moving Forward

AI will not replace learning professionals, but it will redefine their role. The future of L&D is less about delivering courses and more about designing systems that continuously improve performance.

Organizations that combine AI with skilled managers, thoughtful learning design and a strong coaching culture will realize far greater value than those that simply automate existing training.

The real opportunity is to use AI to build an always-on performance enablement system that provides coaching, feedback, practice and development when employees need it most.