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Power and Prediction

The Disruptive Economics of Artificial Intelligence

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Power and Prediction

By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Narrated by: Tom Beyer
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About this listen

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 deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions.

This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time, but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions.

Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-listen guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Ajay Agrawal, Joshua Gans, and Avi Goldfarb (P)2022 Ascent Audio
Forecasting & Strategic Planning Machine Theory & Artificial Intelligence Business Artificial Intelligence Innovation Data Science Machine Learning
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The obvious is hidden in plain sight

I feel the information is the book is very valuable. However, it’s not rocket science and the book takes a while to explain their reasoning.

I still feel it makes total sense to read/ listen to it because it will help (hopefully) to explain the c-suite that AI just changed their game. And we, prediction machine enthousiasts, need to understand that the solution we comprehend is not the only solution if we truly want to fix the problems.

One last note, the last chapter on Bias I found really good. A must read part if you feel biased AI’s are the problem.

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Alright book, disappointing narrator

The narrator breathes heavily. So much of time is wasted on his breaths. Please hire better narrators.

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what was the point...

Enjoyed the first book. this one didn't seem to have anything to say. it didn't even repeat the first book. I wouldn't recommend

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