Making Sense of AI in 2026: A Framework for Policy and Practice: Decision-making in a time of opportunity, uncertainty, and risk (Thinking In Public) Kindle Edition

Decisions made about artificial intelligence today will shape organisations, industries, and economies for decades. Those responsible for these decisions face a fundamental problem: the available guidance often obscures more than it reveals.Technology companies promise transformation. Consulting firms produce reports designed to promote their services. Academic specialists write for one another. Journalists and commentators oscillate between wonder and alarm. The result is a discourse that generates heat, but sheds limited light on the choices that actually matter.Making Sense of AI in 2026: A Framework for Policy and Practice. Decision-Making in a Time of Opportunity, Uncertainty, and Risk is written for audiences that rarely read the same material: policymakers and advisers shaping the regulatory and institutional environment, and executives and boards making investment and implementation decisions under uncertainty. Both face the same analytical challenge from different positions. Both must act before the evidence is complete.At its centre is a deceptively simple insight: AI outcomes depend less on the technology itself than on what it is combined with. The quality of data, workforce capability, organisational design, governance adequacy, and the condition of the broader innovation ecosystem determine whether AI delivers genuine benefit or expensive disappointment. That is The AI Complementarity Thesis this book develops.The book maps the AI landscape into nine distinct conversations that rarely connect: enterprise adoption, industry transformation, scientific discovery, productivity, workforce effects, humanities and culture, cognition and communication, alignment and safety, and political economy. Each has its own assumptions, its own expert community, and its own blind spots. The noise characterising the broader AI debate comes largely from the collision of these separate conversations, each projecting its concerns onto a technology that means different things in different contexts.The book applies The AI Complementarity Thesis across all nine domains, examining what happens when AI meets the physical world, where its limits cause documented harm, how governance can function as strategic capability, and what AI-era skills actually look like. Dedicated chapters address personalisation, infrastructure requirements, innovation ecosystems, and Australia’s strategic position.For readers seeking practical application, the book includes a structured approach to AI decisions: What is actually being proposed? What category of AI is involved? Which narratives are implicated? What complements are required? These questions apply whether the decision concerns national policy settings or a single organisational investment. Read more