Power And Prediction: The Disruptive Economics of Artificial Intelligence
- Downloads：1685
- Type：Epub+TxT+PDF+Mobi
- Create Date：2023-01-07 06:51:58
- Update Date：2025-09-06
- Status：finish
- Author：Ajay Agrawal
- ISBN：1647824192
- Environment：PC/Android/iPhone/iPad/Kindle
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Summary
Disruption resulting from the proliferation of AI is coming。 The authors of the bestselling Prediction Machines describe what you can do to prepare。
Banking and finance， pharmaceuticals， automotive， medical technology， retail。 Artificial intelligence （AI） has made its way into many industries around the world。 But the truth is， it has just begun its odyssey toward cheaper， better， and faster predictions to drive strategic business decisions--powering and accelerating business。 When prediction is taken to the max， industries transform。 The disruption that comes with such transformation is yet to be felt--but it is coming。
How do businesses prepare？ In their bestselling first book， Prediction Machines， eminent economists Ajay Agrawal， Joshua Gans， and Avi Goldfarb explained the simple yet game-changing economics of AI。 Now， in Power and Prediction， they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI。 Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption--what they call "the Between Times。" While there continue to be important opportunities for businesses， there are also threats of disruption。 As prediction machines improve， old ways of doing things will be upended。 Also， the process by which AI filters into the many systems involved in application is very uneven。 That process will have winners and losers。 How can businesses leverage， or protect， their positions？
Filled with illuminating insights， rich examples， and practical advice， Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you。
Banking and finance， pharmaceuticals， automotive， medical technology， retail。 Artificial intelligence （AI） has made its way into many industries around the world。 But the truth is， it has just begun its odyssey toward cheaper， better， and faster predictions to drive strategic business decisions--powering and accelerating business。 When prediction is taken to the max， industries transform。 The disruption that comes with such transformation is yet to be felt--but it is coming。
How do businesses prepare？ In their bestselling first book， Prediction Machines， eminent economists Ajay Agrawal， Joshua Gans， and Avi Goldfarb explained the simple yet game-changing economics of AI。 Now， in Power and Prediction， they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI。 Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption--what they call "the Between Times。" While there continue to be important opportunities for businesses， there are also threats of disruption。 As prediction machines improve， old ways of doing things will be upended。 Also， the process by which AI filters into the many systems involved in application is very uneven。 That process will have winners and losers。 How can businesses leverage， or protect， their positions？
Filled with illuminating insights， rich examples， and practical advice， Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you。
Reviews
Narang Unnati
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Loved reading this book！ Very CLEAR， well-crafted narrative and powerful ideas。 I had earlier read the “Prediction Machines” by the same authors。 In the original book， the main idea is that AI reduces cost of prediction。 As prediction gets cheaper， we will use more AI。 This book goes beyond a “point solution” that swaps out current tech with new tech （e。g。， steam with electricity） or “application solution” that extends independent of the system （e。g。， power in small unit） to “system solution” in Loved reading this book！ Very CLEAR， well-crafted narrative and powerful ideas。 I had earlier read the “Prediction Machines” by the same authors。 In the original book， the main idea is that AI reduces cost of prediction。 As prediction gets cheaper， we will use more AI。 This book goes beyond a “point solution” that swaps out current tech with new tech （e。g。， steam with electricity） or “application solution” that extends independent of the system （e。g。， power in small unit） to “system solution” involving dependent parts （e。g。， Ford's innovation）。My favorite part about this book is the cohesive set of ideas about how we are in the transitionary "between times" and what we need is a system-wide change to get to the next level。 Dispels some myths and finds new potential avenues for the future of AI beyond cheaper predictions。 Good examples from healthcare and other fields too。 Very relatable and easy to grasp for a non-academic， general audience。 Finally， lots of powerful storytelling in the book， e。g。， David Friedberg started The Climate Corporation to sell insurance to farmers but turned out that AI could help farmers improve decisions on their farms。 No one asked Friedberg: If my knowledge is no longer useful， who will need me？ 。。。more
Amy
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I thought the core ideas were thought-provoking and well-expressed。 As others have noted， parts of the book were repetitive and probably could have been condensed without losing nuance。
Ryan Weller
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Interesting point about systematic change to truest leverage AI disruption， but shallow。 Very repetitive。 Could have been condensed to 100 pages or boosted beyond academic arm waving
Rodrigo
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This review has been hidden because it contains spoilers。 To view it， click here。 After publishing Prediction Machines， the authors realized the necessity of considering not only the economics of artificial intelligence but also the systems in which the technology operates。 At the time， most markets are not ready to benefit entirely from AI solutions。Point solutions lower costs but don’t demand structural business change。 Application solutions are broader but still don’t demand structural change。 System solutions require a new vision for the whole market to deliver more value After publishing Prediction Machines， the authors realized the necessity of considering not only the economics of artificial intelligence but also the systems in which the technology operates。 At the time， most markets are not ready to benefit entirely from AI solutions。Point solutions lower costs but don’t demand structural business change。 Application solutions are broader but still don’t demand structural change。 System solutions require a new vision for the whole market to deliver more value for the company and customers。To help assess how close a market is to system solutions， they propose an AI Systems Discovery Canvas in chapter 18。 。。。more
Nag Jayaraman
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Light introductory level content on trending topic。 Typical book of professors on speaking circuit， collating bunch of anecdotes and material they read recently。For the topic the content is too lighter to be rated high
Karen Macartney oettl
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This is a follow up to the team of author’s first book on the power of prediction and AI （“Prediction Machines” This one cuts to the heart of making faster， cheaper and better decisions and is a key book to read if you are fascinated by AI or if you think your business could benefit from better decisions for system-level innovation
Kara
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