Artificial intelligence is reshaping business faster than most organisations can prepare for it. Boards demand AI strategies. Investors reward AI narratives. Regulators write the rules that will govern its use. Yet many managers keep making consequential decisions about a technology they have never had the opportunity to understand deeply. This book closes that gap.
Managing with Artificial Intelligence explains what AI actually is, how it creates value inside organisations, and how to deploy it effectively, responsibly, and at scale. It stays conceptually rigorous without becoming technically inaccessible, and it grounds every idea in real examples and case vignettes drawn from across industries and geographies. Across twelve chapters it moves from foundations to frontier, covering the three categories of AI that managers encounter, the data that powers AI, the design of human and machine decision-making, the management of AI projects, the choice to build, buy, or partner, the demands of compliance, the structures of effective governance, and the wider consequences of AI for society.
Decision makers gain a clear framework for judging which AI problems they face, where accountability sits, and how to weigh opportunity against risk before committing resources and generating value. Educators gain a structured, classroom-ready text, with chapters that translate complex ideas into teachable frameworks and discussion-ready cases. Students gain a grounded foundation in how AI works in organisational life, the analytical tools to reason about it, and the judgment to manage it well.
Ilan Oshri and Julia Kotlarsky are Professors of Information Systems at the University of Auckland Business School. Together they have authored more than thirty books and published in the leading journals in their field, and they serve on the editorial boards of the discipline's top outlets. They write here for anyone who must engage AI not as a capability to be deployed, but as a force to be understood, governed, and aligned with the values that matter most.
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