If 2024 was the year of AI, 2025 will be the year of transformation. Industries, people, and workplaces are increasingly integrating AI-enabled technologies into their everyday operations. Training and Development (T&D) is no exception. Below, we explore key AI technologies transforming T&D and how they contribute to a more effective learning environment.
Generative AI
Generative AI is among the most common and accessible AI technologies today. It can be thought of as “Google on steroids.” With its rapid processing capabilities, generative AI scans vast amounts of data at gigabyte speeds, offering comprehensive and detailed responses to complex queries. Examples include ChatGPT, Microsoft Copilot, and Chat-On. These tools allow users to type commands or questions and receive well-structured, actionable results.
For T&D professionals, generative AI is invaluable for creating training outlines, conducting quick research, and updating materials automatically – an essential feature in a world where information evolves faster than ever before.
Natural Language Processing (NLP)
Natural Language Processing (NLP) is helping organizations provide instant, intuitive support, much like generative AI. However, NLP has been around for years and is already integrated into many tools we use daily. Examples include voice recognition in devices like Alexa and Siri, translation apps that seamlessly convert one language to another, and email filters that push spam or unwanted messages into separate folders.
T&D professionals can leverage NLP for microlearning and on-demand training. By delivering tailored responses in real time, NLP enables dynamic learning experiences where a participant’s input determines the next steps. This interactive capability makes training more engaging and effective.
Machine Learning Algorithms
Machine learning has transformed how training programs are developed and delivered. One common complaint among high performers is being assigned generic training sessions that don’t align with their skills or roles. Machine learning solves this by analyzing vast amounts of learner data to identify patterns in behavior, preferences, and performance.
This enables organizations to deliver personalized training experiences. For example, an employee struggling with technical skills might receive specialized modules, while a high-performing employee could be offered leadership development opportunities. By tailoring training to individual needs, organizations ensure employees remain engaged and challenged.
Popular Learning Management Systems (LMS) leveraging machine learning include Docebo, 360Learning, and Absorb LMS.
Conclusion
AI technologies are not just enhancing traditional training methods – they are redefining the very nature of workplace learning. By harnessing the power of generative AI, NLP, and machine learning, T&D professionals can develop faster, more personalized, and more impactful training solutions.
As for the common question, “Will AI replace us?” The answer is no. Instead, we will learn how to utilize AI to enhance our capabilities. As AI continues to evolve, its role in T&D will expand, paving the way for a future of dynamic and effective learning experiences.