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Ten Signals 2026-27: How Artificial Intelligence Is Reshaping Careers, Leadership, and Decision-Making - From Students to Boardrooms (en Inglés)
Gandhi, Jayant (Autor)
·
Jayant Gandhi
· Tapa Blanda
Ten Signals 2026-27: How Artificial Intelligence Is Reshaping Careers, Leadership, and Decision-Making - From Students to Boardrooms (en Inglés) - Gandhi, Jayant
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Reseña del libro "Ten Signals 2026-27: How Artificial Intelligence Is Reshaping Careers, Leadership, and Decision-Making - From Students to Boardrooms (en Inglés)"
Ten Signals - 2026-27 is a strategic guide for students, professionals, and leaders navigating the second phase of artificial intelligence-where systems no longer just assist humans, but increasingly act on their behalf.This book does not focus on tools or trends. Instead, it decodes ten structural signals already reshaping careers, organisations, and decision-making across industries-from finance and technology to governance and leadership.Written by a practitioner with decades of experience across finance, risk, technology, and professional education, this book helps readers understand not just what is changing, but what maturity and responsibility demand in response.Inside the book, you will explore: How Agentic AI is shifting human roles from execution to oversightWhy Generative AI creates a second maturity curve-more subtle, more dangerousHow regulation, governance, and accountability are being reshaped by intelligent systemsWhat students must learn beyond tools to remain relevantHow professionals transition from doers to orchestratorsWhat boards and leaders must confront as decision-making acceleratesThis book is written for: Students preparing for careers in an AI-mature economyWorking professionals navigating role shifts and relevanceCXOs and board members responsible for governing intelligent systemsTen Signals - 2026-27 is not about predicting the future.It is about recognising it early and responding responsibly.This book will help you if you are asking: How will AI actually change careers-not just tools?What skills matter when execution is automated?How do I stay relevant without chasing every trend?What does responsible leadership look like in an AI-driven world?