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The most needed book to be written in 2026 is probably a clear, practical guide to AI governance for ordinary institutions, not just tech companies, but schools, hospitals, governments, publishers, and small businesses. That topic fits the biggest pressures showing up now: rising global risk, accelerating AI regulation, and the need to use AI safely without freezing innovation.
Why this book matters
The strongest case is that 2026 will likely be a year when many organizations move from experimenting with AI to relying on it in daily operations, while regulations and public expectations keep tightening. 2025 sources point to AI regulation becoming more concrete, with risk-based rules, transparency, and fairness becoming central concerns.
At the same time, broader uncertainty is rising: the World Economic Forum says geopolitical and economic risks are increasing, and UNCTAD projects global growth will still be below the pre-pandemic average in 2026. That makes a book on AI governance especially valuable because it would help institutions make decisions in a high-pressure, fast-changing environment.
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