[Review] Competing in the Age of AI (Marco Iansiti) Summarized.

[Review] Competing in the Age of AI (Marco Iansiti) Summarized.
9Natree
[Review] Competing in the Age of AI (Marco Iansiti) Summarized.

Sep 29 2026 | 00:09:46

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Episode • September 29, 2026 • 00:09:46

Show Notes

Competing in the Age of AI (Marco Iansiti)

- Amazon USA Store: https://www.amazon.com/dp/B082T2PYHB?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Competing-in-the-Age-of-AI-Marco-Iansiti.html

- Apple Books: https://books.apple.com/us/audiobook/competing-in-the-age-of-ai-strategy-and/id1643327489?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree

- eBay: https://www.ebay.com/sch/i.html?_nkw=Competing+in+the+Age+of+AI+Marco+Iansiti+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B082T2PYHB/

#AIfactory #Decisionengine #Scalescopeandlearning #Digitalnetworkeffects #Algorithmicgovernance #CompetingintheAgeofAI

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World is a business strategy book by Harvard Business School professors Marco Iansiti and Karim R. Lakhani. It examines how organizations built around data, software, algorithms, and digital networks differ fundamentally from firms organized around human labor, physical assets, and functional hierarchies. Rather than treating artificial intelligence as a tool confined to an innovation lab or a single department, the authors argue that it can become the operating core of a company. Drawing on prominent digital businesses and platforms, the book explains why AI-enabled processes can expand scale, broaden scope, and improve through learning at rates unavailable to conventional operating models. Its purpose is both diagnostic and practical: to help leaders recognize the strategic consequences of algorithmic decision making and redesign their organizations accordingly. It also addresses the social and managerial risks created by this shift, including privacy, bias, security, accountability, and widening gaps between AI-native firms and slower-moving incumbents.

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