Infosys TechCompass

Digital learning

Trend 15: Agentic AI enables adaptive, scalable learning experiences

Agentic AI is redefining enterprise learning by enabling personalized, scalable, and adaptive learning through technologies such as retrieval-augmented generation (RAG), LLMs, and intelligent learning agents. Unlike static content, these systems respond dynamically to each learner’s performance, preferences, and goals. Real-time data analytics and cloud-native platforms further enhance learning outcomes by delivering contextually relevant, interactive experiences.

Digital learning

Trend 16: Generative AI creates immersive, simulation-based learning

Generative AI is transforming experiential learning by creating realistic, scenario-based simulations that allow learners to practice skills in safe, interactive environments. These simulations replicate complex, real-world conditions — helping learners make decisions, experiment, and improve retention. The integration of AI with animation, domain expertise, and contextual data is enabling scalable, high-fidelity simulation experiences across industries.

Digital learning

Trend 17: Generative AI personalizes learning pathways

Generative AI is revolutionizing learning content delivery by tailoring modalities to individual cognitive styles, preferences, and goals. Moving beyond static e-learning modules, it enables dynamic experiences through conversational dialogues, storytelling, active recall, and real-time summarization. AI tutors adapt content based on performance and feedback, enhancing motivation and retention.

Infosys integrated generative AI tutors into its Lex platform, offering learners personalized guidance through Socrative (a real-time assessment platform), storytelling, explanatory, analogy based and adaptive style. This innovation has improved engagement and completion rates across diverse roles and regions, supporting Infosys’ broader vision of cultivating an AI-fluent, future-ready workforce.