Training and Development Managers

Training managers do many routine tasks – and AI is beginning to help with those. For example, official U.S. data says they plan training programs and prepare learning materials ^[1]. Today, AI tools can automatically draft those materials.

They can write training manuals, generate quiz questions, and even create simple videos for lessons ^[2]. Some advanced systems act like virtual tutors: they watch how learners do on tests and then nudge the training manager or learner with extra practice if needed ^[2]. In other words, AI can speed up creating content and checking test results.

But the human side of training is still important. Giving live orientations, coaching people one-on-one, and talking with managers to set learning goals all need human empathy and judgment. Experts expect AI to augment the role rather than replace it.

One report notes that AI will take over data-heavy tasks behind the scenes, while trainers focus on teaching, coaching and decision-making ^[3]. In short, machines can do the “grunt work” of program prep, but people will keep doing the people work in training.

Many companies are already adding AI to their training work, but at different speeds. Big organizations (especially in tech and finance) jumped in first ^[3]. In one survey, about 1 in 4 firms said they now use AI in HR and training, and nearly half said AI is a higher priority than before ^[3].

These companies see big benefits: AI can cut training time and make learning more personal, which helps them stay competitive. In fact, analysts warn that companies slow to adopt AI risk falling behind and losing talent to more innovative firms ^[4]. At the same time, adopting AI isn’t free or automatic.

Buying AI software and teaching staff how to use it costs money, and managers worry about keeping training fair, accurate and personal. Many leaders point out that human skills will still matter. For example, about 75% of HR professionals say AI’s growth will make human intelligence and creativity even more important ^[3].

In practice, most training teams are taking AI step by step: they let smart software handle repetitive tasks, while human trainers spend more time mentoring and guiding learners ^{[3] [4]}.