Part 2 — The Rise of Agentic AI

Overview

Part 1 established what AI can do. Part 2 examines what happens when you give it autonomy.

The shift from generative to agentic AI is not simply a matter of better models. It requires a different architecture, a different set of design decisions, and a fundamentally different relationship between human operators and the systems they deploy. An agent does not just respond — it plans, acts, evaluates its own results, and adjusts. That loop changes everything: the failure modes, the cost structure, the governance requirements, and the competitive dynamics of the market building this infrastructure.

Part 2 maps this shift across four dimensions. First, the core architectural question: when does a single agent suffice, and when does a system of agents become necessary? Second, the platform landscape: who is building the infrastructure that makes agentic deployment possible, and how are those choices constraining or enabling your options? Third, the emerging reality of ambient AI — agents that run continuously rather than on-demand, and the profound implications that follow. And fourth, the build-vs-buy decision that every organisation must now make with imperfect information and high stakes.

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Chapters in This Part

Chapter	Title	Theme
5	One Agent or Many? Designing for Scale and Complexity	Agent architecture
6	The Platform Wars: Who Is Building the Agentic Infrastructure	Market landscape
7	Always-On AI: The Era of Ambient Intelligence	Continuous agents
8	The Build-vs-Buy Decision in an Agentic World	Strategic decisions

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Readers with a primary interest in technical integration may wish to read Chapter 5 alongside Chapter 11 in Part 3.