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If intelligence becomes essential infrastructure, who gets to own it -- and on what terms does the rest of society access it?
Artificial intelligence is no longer experimental. It recommends, ranks, approves, denies, predicts, and optimises. It shapes what you see, what you're offered, what you're charged, and increasingly what you're allowed to do next. It sits beneath modern life the way electricity does: mostly invisible when it works, impossible to ignore when it fails.
Most books about AI focus on what it can do. This one asks who controls it -- and who benefits.
THE AGE OF INTELLIGENCE argues that AI is following the same pattern as every essential system before it: railways, electricity, telecommunications, digital platforms. A technology emerges. Society becomes dependent on it. By the time that dependence is recognised, ownership has already locked in. Regulation follows power, not the other way around.
For AI, the window remains open -- but it is closing.
Across healthcare, education, work, finance, transport, governance, and the intelligent home, Gerard McNamara shows how AI is becoming essential infrastructure -- and how ownership of that infrastructure determines who sets the rules of participation in the emerging economic order.
Each chapter begins with a real-world situation -- a patient awaiting diagnosis, a worker whose skills are being repriced, a citizen navigating algorithmic governance -- before stepping back to reveal the wider structural shift.
From generative AI reshaping creative industries to automated decision-making in banking and insurance, from AI-powered surveillance redefining privacy to machine learning systems determining who gets hired, promoted, or left behind -- this book maps the technological transformation already underway across every sector of modern life.
THE AGE OF INTELLIGENCE examines the critical questions: How should artificial intelligence be regulated? Who bears responsibility when algorithms fail? What happens to jobs, wages, and economic security when intelligent systems can perform tasks faster and cheaper than people? And what choices remain available to governments, corporations, and citizens before the architecture of the AI-powered future becomes permanent?
This is not a dystopian warning. Nor is it a technological celebration. It is a clear-eyed account of the transformation already underway -- and a case that the decisions made in this decade will determine whether AI serves broad public interests or concentrates structural power in ways that prove extraordinarily difficult to reverse.
Written for the intelligent general reader. No technical background required.
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