Evolution of AI

Artificial Intelligence (AI) has evolved from early rule-based systems to learning, generative and agentic models that now reshape how work is organised, decisions are made and value is created. This chapter traces AI's historical journey from symbolic reasoning in the mid-1950s to the emergence of machine learning (ML), the rise of generative AI (GenAI) and the first signs of agentic intelligence, showing that today's disruption is decades in the making. The chapter examines key AI technologies currently shaping the workforce, including natural language processing (NLP), computer vision and intelligent automation with practical examples across industries. It examines the recurring cycles of optimism and correction known as AI winters and explores how each wave of progress has redefined the relationship between people and technology. By framing AI as a family of interlinked technologies rather than a single invention, the chapter highlights their combined impact on productivity, creativity and governance across industries. It concludes by introducing the concept of Agentic AI, where autonomous systems collaborate with humans to orchestrate outcomes and transform roles. For readers, understanding AI's evolution provides essential context for responsible adoption, informed decision-making and human-centred workforce transformation in an era of rapid technological change.