{"product_id":"prediction-machines-the-simple-economics-of-artificial-intelligence-agrawal-gans-goldfarb-9781647824679","title":"Prediction Machines | Ajay Agrawal, Joshua Gans \u0026 Avi Goldfarb","description":"\u003csection class=\"product-description\" style=\"color: #1a1a1a; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; line-height: 1.6;\"\u003e\n  \u003ch2 style=\"color: #2c3e50; font-size: 1.75em; margin-bottom: 15px; border-bottom: 2px solid #2c3e50; padding-bottom: 5px;\"\u003ePrediction Machines: The Simple Economics of Artificial Intelligence\u003c\/h2\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eExtended Synopsis\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003eArtificial intelligence often seems like magic, bringing machines to life to drive cars, trade stocks, and automate complex processes. However, in \u003cem\u003ePrediction Machines\u003c\/em\u003e, three eminent economists lift the curtain on the hype to reveal a surprisingly simple economic framework: the rise of AI is fundamentally a drop in the cost of prediction. By reframing artificial intelligence as cheap and accessible prediction, the authors provide immense clarity for navigating this technological sea change.\u003c\/p\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003eThis updated and expanded edition demonstrates how prediction is at the heart of making decisions amid uncertainty. As prediction tools increase productivity across operations and customer communication, they generate opportunities for entirely new business strategies. With new material exploring how prediction fits into existing decision-making workflows and how foundational technologies like quantum computing will impact business choices, this book is an essential map for understanding the ongoing AI revolution.\u003c\/p\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eAbout the Authors\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eAjay Agrawal, Joshua Gans, and Avi Goldfarb\u003c\/strong\u003e are eminent economists and professors at the Rotman School of Management, University of Toronto. Together, they bring extensive academic rigor and practical industry insight into how emerging technologies affect strategic management, corporate innovation, and the global economy.\u003c\/p\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eAccolades \u0026amp; Awards\u003c\/h3\u003e\n  \u003cul style=\"margin-bottom: 20px; padding-left: 20px;\"\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eNamed one of \"The five best books to understand AI\" by \u003cem\u003eThe Economist\u003c\/em\u003e.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eReader Targeting\u003c\/h3\u003e\n  \u003cul style=\"margin-bottom: 20px; padding-left: 20px;\"\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eBusiness executives and entrepreneurs looking to implement AI strategies.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eInvestors and policymakers seeking a clear economic framework for the impact of artificial intelligence.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 5px;\"\u003eStudents and professionals in economics, strategic management, and technology sectors.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eBibliographic \u0026amp; Physical Specifications\u003c\/h3\u003e\n  \u003cdiv class=\"table-responsive\" style=\"overflow-x: auto; max-width: 100%; margin-bottom: 25px; -webkit-overflow-scrolling: touch; border: 1px solid #e0e0e0;\"\u003e\n    \u003ctable style=\"width: 100%; min-width: 650px; border-collapse: collapse; font-size: 0.95em; table-layout: fixed;\"\u003e\n      \u003cthead\u003e\n        \u003ctr style=\"background-color: #f8f9fa; border-bottom: 2px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 12px 10px; color: #2c3e50; width: 30%; font-weight: bold;\"\u003eSpecification\u003c\/th\u003e\n          \u003cth style=\"text-align: left; padding: 12px 10px; color: #2c3e50; width: 70%; font-weight: bold;\"\u003eDetails\u003c\/th\u003e\n        \u003c\/tr\u003e\n      \u003c\/thead\u003e\n      \u003ctbody\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eTitle\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003ePrediction Machines\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eSubtitle\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eThe Simple Economics of Artificial Intelligence\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eAuthor\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eAjay Agrawal, Joshua Gans, and Avi Goldfarb\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eISBN-13\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003e9781647824679\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eISBN-10\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003e1647824671\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003ePublisher\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eHarvard Business Review Press\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003ePublication Date\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eApril 16, 2024\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eEdition\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eUpdated \u0026amp; Expanded Edition\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eLanguage\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eEnglish\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eCondition\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003ePre-Owned \/ Very Good\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eFormat\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eHardcover (Hardbound with Dust Jacket)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003ePage Count\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003e280\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eBISAC Categories\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eBUSINESS \u0026amp; ECONOMICS \/ Artificial Intelligence \/ General; BUSINESS \u0026amp; ECONOMICS \/ Economics \/ General\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eBIC\/Thema Classifications\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003eBusiness \u0026amp; management (KJ)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eDimensions\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003e9.3 x 6.2 x 1.0 inches (235 x 158 x 25 mm)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e0e0e0;\"\u003e\n          \u003cth style=\"text-align: left; padding: 10px; background-color: #f8f9fa; color: #2c3e50; font-weight: bold; vertical-align: top;\"\u003eWeight\u003c\/th\u003e\n          \u003ctd style=\"padding: 10px; color: #1a1a1a; vertical-align: top;\"\u003e16.5 oz\u003c\/td\u003e\n        \u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\n  \u003ch3 style=\"color: #2c3e50; font-size: 1.25em; margin-top: 20px; margin-bottom: 10px;\"\u003eFrequently Asked Questions\u003c\/h3\u003e\n  \u003cp style=\"margin-bottom: 10px;\"\u003e\u003cstrong\u003eWhat is the core premise of \u003cem\u003ePrediction Machines\u003c\/em\u003e?\u003c\/strong\u003e\u003cbr\u003eThe authors argue that the fundamental economic shift caused by artificial intelligence is a drastic reduction in the cost of prediction, which in turn transforms how businesses strategize and operate.\u003c\/p\u003e\n  \n  \u003cp style=\"margin-bottom: 10px;\"\u003e\u003cstrong\u003eIs this book highly technical?\u003c\/strong\u003e\u003cbr\u003eNo, the book provides a clear economic framework accessible to business professionals, cutting through the hype of AI to offer actionable insights rather than dense programming knowledge.\u003c\/p\u003e\n  \n  \u003cp style=\"margin-bottom: 15px;\"\u003e\u003cstrong\u003eWhat is new in this updated and expanded edition?\u003c\/strong\u003e\u003cbr\u003eThis edition includes new material explaining how prediction fits into existing decision-making processes and the potential business impact of foundational technologies like quantum computing.\u003c\/p\u003e\n\n  \u003cscript type=\"application\/ld+json\"\u003e\n  {\n    \"@context\": \"https:\/\/schema.org\",\n    \"@graph\": [\n      {\n        \"@type\": [\"Book\", \"Product\"],\n        \"@id\": \"https:\/\/bustdownbooks.com\/products\/prediction-machines-the-simple-economics-of-artificial-intelligence-agrawal-gans-goldfarb-9781647824679#book\",\n        \"name\": \"Prediction Machines: The Simple Economics of Artificial Intelligence\",\n        \"author\": [\n          {\n            \"@type\": \"Person\",\n            \"name\": \"Ajay Agrawal\"\n          },\n          {\n            \"@type\": \"Person\",\n            \"name\": \"Joshua Gans\"\n          },\n          {\n            \"@type\": \"Person\",\n            \"name\": \"Avi Goldfarb\"\n          }\n        ],\n        \"description\": \"Discover how AI lowers the cost of prediction, transforming business strategy and economic decision-making in this updated and expanded guide.\",\n        \"isbn\": \"9781647824679\",\n        \"gtin13\": \"9781647824679\",\n        \"sku\": \"1647824671\",\n        \"bookFormat\": \"https:\/\/schema.org\/Hardcover\",\n        \"bookEdition\": \"Updated \u0026 Expanded Edition\",\n        \"datePublished\": \"2024-04-16\",\n        \"numberOfPages\": \"280\",\n        \"inLanguage\": \"en-US\",\n        \"countryOfOrigin\": \"United States\",\n        \"genre\": [\n          \"BUSINESS \u0026 ECONOMICS \/ Artificial Intelligence \/ General\",\n          \"BUSINESS \u0026 ECONOMICS \/ Economics \/ General\",\n          \"Business \u0026 management (KJ)\"\n        ],\n        \"image\": \"https:\/\/cdn.shopify.com\/s\/files\/1\/0855\/2077\/7531\/files\/9781647824679.jpg?v=1786990960\",\n        \"publisher\": {\n          \"@type\": \"Organization\",\n          \"name\": \"Harvard Business Review Press\"\n        },\n        \"weight\": {\n          \"@type\": \"QuantitativeValue\",\n          \"value\": \"16.5\",\n          \"unitCode\": \"ONZ\"\n        },\n        \"height\": {\n          \"@type\": \"QuantitativeValue\",\n          \"value\": \"9.3\",\n          \"unitCode\": \"INH\"\n        },\n        \"width\": {\n          \"@type\": \"QuantitativeValue\",\n          \"value\": \"6.2\",\n          \"unitCode\": \"INH\"\n        },\n        \"depth\": {\n          \"@type\": \"QuantitativeValue\",\n          \"value\": \"1.0\",\n          \"unitCode\": \"INH\"\n        },\n        \"offers\": {\n          \"@type\": \"Offer\",\n          \"price\": \"15.99\",\n          \"priceCurrency\": \"USD\",\n          \"availability\": \"https:\/\/schema.org\/InStock\",\n          \"itemCondition\": \"https:\/\/schema.org\/UsedCondition\",\n          \"url\": \"https:\/\/bustdownbooks.com\/products\/prediction-machines-the-simple-economics-of-artificial-intelligence-agrawal-gans-goldfarb-9781647824679\",\n          \"seller\": {\n            \"@type\": \"Organization\",\n            \"name\": \"Bust-Down Books\"\n          }\n        }\n      },\n      {\n        \"@type\": \"FAQPage\",\n        \"@id\": \"https:\/\/bustdownbooks.com\/products\/prediction-machines-the-simple-economics-of-artificial-intelligence-agrawal-gans-goldfarb-9781647824679#faq\",\n        \"mainEntity\": [\n          {\n            \"@type\": \"Question\",\n            \"name\": \"What is the core premise of Prediction Machines?\",\n            \"acceptedAnswer\": {\n              \"@type\": \"Answer\",\n              \"text\": \"The authors argue that the fundamental economic shift caused by artificial intelligence is a drastic reduction in the cost of prediction, which in turn transforms how businesses strategize and operate.\"\n            }\n          },\n          {\n            \"@type\": \"Question\",\n            \"name\": \"Is this book highly technical?\",\n            \"acceptedAnswer\": {\n              \"@type\": \"Answer\",\n              \"text\": \"No, the book provides a clear economic framework accessible to business professionals, cutting through the hype of AI to offer actionable insights rather than dense programming knowledge.\"\n            }\n          },\n          {\n            \"@type\": \"Question\",\n            \"name\": \"What is new in this updated and expanded edition?\",\n            \"acceptedAnswer\": {\n              \"@type\": \"Answer\",\n              \"text\": \"This edition includes new material explaining how prediction fits into existing decision-making processes and the potential business impact of foundational technologies like quantum computing.\"\n            }\n          }\n        ]\n      }\n    ]\n  }\n  \u003c\/script\u003e\n\u003c\/section\u003e","brand":"Bust-Down Books","offers":[{"title":"Default Title","offer_id":51562395926843,"sku":"1647824672","price":15.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0855\/2077\/7531\/files\/9781647824679.jpg?v=1786990960","url":"https:\/\/bustdownbooks.com\/products\/prediction-machines-the-simple-economics-of-artificial-intelligence-agrawal-gans-goldfarb-9781647824679","provider":"Bust-Down Books","version":"1.0","type":"link"}