AI-Driven Adaptive Learning for Industry-Specific Business English: Transforming Professional Communication in the Digital Era

Akshay Singh, Harmik Vaishnav · 2026

The global business landscape demands industry-specific communication skills, yet traditional Business English courses often lack contextual relevance. This chapter explores how AI-driven adaptive learning systems—leveraging machine learning and natural language processing—customize content to professional roles like marketing or finance, offering real-time feedback, simulations, and culturally aware interactions. It reviews research on AI tools that enhance engagement by tailoring tone, context, and vocabulary to workplace challenges, especially within blended learning environments. The chapter also examines the use of Large Language Models (LLMs) for hyper-contextual learning and addresses ethical concerns like bias reduction and explainability. With evidence of improved outcomes, it presents practical strategies for educators and offers a transformative framework for modernizing Business English education.

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