Price: $11.99 - $4.99
(as of Nov 05, 2025 20:24:32 UTC – Details)
Discover the AI revolution through two competing futures: one where humanity thrives, the other where it disappears.
AI 2027: The Future We Choose is a groundbreaking AI book for beginners, futurists, and business leaders who want to understand what’s coming next. Whether you’re learning how to use AI, exploring ai in education, healthcare, or ethics, or navigating ai governance and policy, this book provides a crystal-clear roadmap.
Covering generative AI, agentic AI, AI for business, and the existential questions around artificial general intelligence (AGI), this book is your ultimate guide to navigating the AI Singularity—without fear or hype.
Author Rohit Kumar Jaiswal unpacks over 250 pages of insight drawn from real research, global interviews, and speculative but grounded scenarios. You’ll explore:
🔻 The “Collapse Curve” — job loss, misinformation, surveillance, ethical failure
🔺 The “Ascension Curve” — AI-powered education, governance, medicine, and planetary healing
If you’ve read AI 2041, The Coming Wave, or top AI books best sellers of 2025, you’ll find this book a vital next step in your journey.
Perfect for:
• Entrepreneurs and educators exploring ai for beginners and ai in education
• Ethical technologists thinking about ai governance and ai ethics
• Business leaders building the future of ai-powered companies
🌐 Includes real-world examples from OpenAI, Claude AI, and Sam Altman vs. Elon Musk debates.
This is not just another book about AI. This is a guide to the world we’re building—with or without human wisdom.
From the Publisher
ASIN : B0FHQVTWQL
Accessibility : Learn more
Publication date : September 16, 2025
Language : English
File size : 441 KB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 266 pages
Page Flip : Enabled
Part of series : AI: How Superintelligence Will Shape the Future of Humanity
Best Sellers Rank: #316,701 in Kindle Store (See Top 100 in Kindle Store) #29 in Machine Theory (Kindle Store) #34 in Machine Theory (Books) #72 in Neural Networks
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