Prediction Machines
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Prediction Machines

The Simple Economics of Artificial Intelligence

Ajay Agrawal, Joshua Gans, Avi Goldfarb20187h48Done in 2023Tecnologia & Economia Digital
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Why it matters

Because it offers a practical and economic view on how artificial intelligence is redesigning businesses and markets – not so much by replacing humans, but by reducing the cost of prediction in various areas.

Why I recommend it

Because it explains, in an accessible way, how to think strategically about the use of AI in daily business operations, making it clear where it generates real value and where expectations are still exaggerated.

What it builds
Strategic application of artificial intelligenceEconomic analysis of emerging technologiesRedesign of AI-based processesCombined decision-making between humans and machinesBusiness planning for a predictive future
The ideas

The authors explain the impact of predictive AI from an economic perspective

AI as a prediction machine

The true capability of AI is to generate better, faster, and cheaper predictions – changing the cost of decision-making in companies.

Separation between prediction and judgment

AI provides predictions, but human judgment (values, objectives, context) remains irreplaceable.

Where AI generates value

Markets where accurate predictions reduce uncertainties (such as medical diagnoses, dynamic pricing, product recommendations).

New business design

Companies will need to redesign processes to leverage the power of prediction – and decide where to replace, complement, or rethink human decisions.

Adjustment of expectations

Understanding that AI is powerful but also limited is essential for making smarter strategic investments.

The book is a guide to adopting predictive AI with strategy and wisdom – and not out of fad.

Connections

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