The Human-Machine Company : First Principles for Building Businesses in the Age of AI

60.33 SGD
会員価格
54.30
English

Product Description

Artificial intelligence is not just another technological wave — it is a fundamental shift in how companies are built, operated, and led. In The Human-Machine Company, venture capitalist Lak Ananth and bestselling author Kevin Maney argue that the organizations that thrive in the coming decades will not simply use AI tools more efficiently. They will be redesigned from the ground up as hybrid systems where human intelligence and machine intelligence work together in entirely new ways. Throughout history, foundational technologies such as electricity and the internet reshaped the structure of business. Today, AI is poised to do the same. Yet many leaders are still treating AI as an incremental change to the status quo rather than a catalyst for reinvention. This book provides a clear framework for thinking beyond incremental productivity gains and toward a deeper transformation of how companies create value. Drawing on historical parallels, contemporary case studies, and insights from the front lines of venture investment, Ananth and Maney explore how AI changes everything from talent strategy and organizational culture to product development and decision-making. They explain why machine intelligence scales knowledge work, why human creativity and judgment become more critical — not less — and why the most successful companies will be those that design blended cultures where people and intelligent systems collaborate seamlessly. The authors introduce a set of enduring principles for navigating uncertainty in the AI era. These include understanding the distinct strengths of human and machine cognition, building organizations that continuously learn and adapt, and rethinking long-standing assumptions about hierarchy, specialization, and competitive advantage. The book also addresses the ethical and societal implications of increasingly autonomous systems, emphasizing the responsibility of leaders to shape AI-driven companies, but distinct because of their people and cu

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