Amy Webb

Amy Webb is a quantitative futurist, author, and founder of the Future Today Institute, a strategic foresight and consulting firm that focuses on emerging technology trends and their impact on business and society. She is a professor of strategic foresight at New York University's Stern School of Business and serves as an Adjunct Senior Fellow at the Atlantic Council. Webb has written several influential books including "The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity" and "The Signals Are Talking: Why Today's Fringe Is Tomorrow's Mainstream." Her work frequently examines the intersection of technology, business strategy, and future scenarios, with particular focus on artificial intelligence and digital innovation. Her research and methodologies have been adopted by organizations worldwide, and she regularly advises CEOs of the world's largest companies, three-star admirals and generals, and senior government officials. Webb's TED talk about data and algorithms in the context of online dating has been viewed more than 8 million times and was translated into 32 languages. Webb's insights appear regularly in publications including Harvard Business Review, MIT Sloan Management Review, and The New York Times. She was named to the Thinkers50 Radar list of management thinkers and was listed among the BBC's 100 Women.

Readers value Webb's ability to explain complex technological concepts through accessible examples and clear writing. Her book "The Big Nine" receives recognition for breaking down AI development and its implications without technical jargon. Multiple reviews highlight her data-driven approach and practical frameworks for understanding future trends. What readers liked: - Clear explanations of complex tech concepts - Research-backed predictions and scenarios - Engaging personal stories mixed with analysis - Practical frameworks for strategic planning What readers disliked: - Some find predictions too alarming or pessimistic - Occasional repetition of key points - Some readers wanted more detailed solutions - Technical sections can be dense for general audience Ratings across platforms: Goodreads: - The Big Nine: 3.8/5 (2,000+ ratings) - The Signals Are Talking: 3.9/5 (1,500+ ratings) - Data, A Love Story: 3.6/5 (3,800+ ratings) Amazon: - The Big Nine: 4.4/5 - The Signals Are Talking: 4.3/5 - Data, A Love Story: 4.1/5

The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity (2019) Examines the nine major corporations controlling artificial intelligence development in the United States and China, exploring potential future scenarios based on current AI trajectories.

The Signals Are Talking: Why Today's Fringe Is Tomorrow's Mainstream (2016) Details a systematic method for identifying and evaluating emerging trends and technological changes before they become mainstream.

Data, A Love Story: How I Gamed Online Dating to Meet My Match (2013) Chronicles the author's experience using data analytics and algorithms to optimize her online dating profile and find a compatible partner.

The Genesis Machine: Our Quest to Rewrite Life in the Age of Synthetic Biology (2022) Explores the current state and future implications of synthetic biology, including its potential impact on human health, food production, and environmental challenges.

The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (2023) Maps the social, environmental, and economic impacts of artificial intelligence systems across various global contexts and industries.

Yuval Noah Harari analyzes technological and societal shifts through a historical and anthropological lens. His work examines how technology shapes human civilization and projects future scenarios based on current trends.

Alec Ross focuses on the intersection of technology, geopolitics, and economic innovation. He draws from his experience as a technology policy expert to explore how emerging technologies will transform industries and societies.

Kevin Kelly writes about digital culture and technological systems through the lens of complex adaptive networks. His work emphasizes the long-term patterns of technological change and their impact on human behavior.

Shoshana Zuboff examines surveillance capitalism and the commodification of personal data in the digital age. She investigates how tech companies monetize human experience and reshape social structures through data collection.

Kai-Fu Lee analyzes artificial intelligence's impact on global economics and society, with particular focus on the US-China AI competition. He combines his computer science background with business expertise to explain AI's practical implications for various sectors.