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Humanity 3.0: How Artificial Intelligence Is Changing the Future of Human Life
Paperback
Technology & EngineeringBiologyGeneral Science
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ISBN13: 9798193427889
Publisher: Independently Published
Pages: 282
Weight: 1.45
Height: 0.59 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Pages: 282
Weight: 1.45
Height: 0.59 Width: 8.50 Depth: 11.00
Language: English
In 2016, a leading AI researcher told the world to stop training radiologists. A decade later, radiologists are in short supply.
The prediction failed. The technology didn't.
That gap - between what artificial intelligence can do and what actually changes because of it - is where your career, your money, and your working life will be decided. And it is almost never where the conversation happens.
The prediction failed. The technology didn't.
That gap - between what artificial intelligence can do and what actually changes because of it - is where your career, your money, and your working life will be decided. And it is almost never where the conversation happens.
Most books on AI are written to make you feel something. Thrilled, or frightened. Humanity 3.0 was written to make you see clearly.
Drawing on workplace studies, economic history, and the uncomfortable evidence both camps prefer to skip, this book asks the question that actually has an answer: not will AI take my job, but which specific parts of your work are exposed, which are protected, and why the difference will decide the next decade. Inside:
- Why 47% of jobs at risk became 9% when researchers asked the question properly
- Why experienced professionals using AI measured 19% slower - while believing they were faster
- Why these tools help beginners most, and what that does to the market value of your experience
- The training pipeline quietly disconnecting inside every profession, and what replaces it
- Why better AI makes human oversight harder, not easier
- What still can't be delegated - and why it protects far fewer jobs than professionals assume
- Four plausible futures, and the specific signals that reveal which one you're living in
This is not a guide to prompting. It won't recommend tools that expire in six months, and it won't promise to future-proof you - no book can. What it offers is a way of reasoning about a moving situation, built to outlast any particular model.
For managers, professionals, business owners, and anyone whose working life is about to be repriced without their being consulted.
Every claim here is followed by its strongest counter-argument. You should finish this book able to disagree with it - using evidence it gave you.
Drawing on workplace studies, economic history, and the uncomfortable evidence both camps prefer to skip, this book asks the question that actually has an answer: not will AI take my job, but which specific parts of your work are exposed, which are protected, and why the difference will decide the next decade. Inside:
- Why 47% of jobs at risk became 9% when researchers asked the question properly
- Why experienced professionals using AI measured 19% slower - while believing they were faster
- Why these tools help beginners most, and what that does to the market value of your experience
- The training pipeline quietly disconnecting inside every profession, and what replaces it
- Why better AI makes human oversight harder, not easier
- What still can't be delegated - and why it protects far fewer jobs than professionals assume
- Four plausible futures, and the specific signals that reveal which one you're living in
This is not a guide to prompting. It won't recommend tools that expire in six months, and it won't promise to future-proof you - no book can. What it offers is a way of reasoning about a moving situation, built to outlast any particular model.
For managers, professionals, business owners, and anyone whose working life is about to be repriced without their being consulted.
Every claim here is followed by its strongest counter-argument. You should finish this book able to disagree with it - using evidence it gave you.
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