Training and Development Specialists

Some parts of a training specialist’s job are getting help from AI tools. For example, modern scheduling programs can read calendars and suggest class times, “freeing up managers’ time” to do other work ^[1]. Likewise, learning platforms now automatically track course completions and quiz results, giving real-time reports on training success ^[2].

One AI system can even build e-learning modules from source materials in hours instead of weeks ^[2]. These features help trainers spend less time on routine tasks. Other core duties still need a person’s insight.

Investigating survey answers, tailoring leadership programs, or negotiating fees involve understanding people and goals in ways AI can’t. In fact, experts who study training technologies note that even very cool tools (like virtual or augmented reality) are best used to support teachers, not replace them ^[3]. In short, AI is helping with admin and data tracking, but the creative, “people” parts of training still rely on human skills.

Many AI tools for learning and training are already available, and some are inexpensive or free (for example, free chatbots or scheduling assistants). This suggests companies can adopt them quickly. In practice, adoption has been mixed.

Big firms are pouring money into AI (about $1.5 trillion this year ^[3]), but many admit they struggle to use it well. One industry survey found about 95% of L&D teams don’t yet use data effectively to tie training to business results ^[4]. In other words, organizations often need to build the right know-how first.

On the positive side, younger workers are very comfortable with digital tools like AI and VR ^[3], and surveys show roughly 80% of employees who try AI at work have a good experience with it ^[1]. Also, some AI-driven tech is becoming cheaper – for example, VR headsets now can cost less than an office chair ^[3].