Reviews

  • Dialogue (Kirsten Levermore, October 2023): “How do we adopt this awesome new technology at scale? This book is a great start - in fact I sent a copy to every C-Suite leader I know.”

  • TechTalks (Ben Dickson, December 2022): “From point solutions and applications to AI systems, Agrawal, Gans, and Goldfarb study the success and failure of AI in different fields. They also provide important insights from past technological revolutions and show how rethinking and redesigning our systems from scratch can help create true value based on powerful machine learning and deep learning algorithms.”

  • Financial Times (John Thornhill et.al., November 2022): “It is only when we understand how AI can be used to redesign entire systems, rather than individual services or products, that its full promise will be realised. This jauntily written and thought-provoking book sketches out how this new economic revolution might unfold.”

  • Engineering & Technology (Nick Smith, November 2022): “All in all, Power and Prediction is a timely and insightful follow up to Prediction Machines.”

  • IEDP (Peter Chadwick, October 2022): “Power and Prediction offers an invaluable guide to these complex developments—helping companies navigate what is likely to be a profound change, that for most will be unavoidable if they want to stay competitive.”

  • Journal of Economic Literature (Laurence Kotlikoff, September 2022): “I close by answering the question: “Do I recommend this book?” Definitely. It’s a must read for business leaders who need to know where AI is heading and how best to harness the new technology. It’s a must read for economists; it forces us to think more deeply about the essence of AI and its connection to prediction. And it’s a must read for the public, who need to know the enormous dangers the old/new AI poses to our own and our children’s economic futures and freedoms.”

  • TechTalks (Ben Dickson, 7 September 2020): “Prediction Machines provides a very accessible and high-level overview of machine learning and the power and limits of the predictions provided by AI algorithms. The book is a must-read for business leaders and executives.”

  • The Strategy Bridge (Stephen Fino, 13 February 2019): “ Although written for a business audience, its insights are not confined to the boardroom. Prediction Machines provides a compelling, fresh perspective to help us understand what artificial intelligence is and its potential impact on our world. The text is essential reading for those grappling to make sense of the field.”

  • Inside Higher Ed (Joshua Kim, 5 December 2018): “We are desperately short of independent and unbiased analyses of the impact of AI on higher ed. Reading, and sharing, Prediction Machines is a good place to start a campuswide AI discussion.”

  • Bloomberg (Noah Smith, 16 August 2018): "[C]onsidering the scope of their task, Agrawal et al. do an excellent job."

  • strategy+business (Theodore Kinni, 8 August 2018): "For its engaging mix of insight and practical advice, Prediction Machines gets my vote for one of the must-reads on the topic."

  • New York Times (Ina Fried, 9 July 2018): "Compared with the amount of ink spilled over the prospect of artificial general intelligence...there’s been much less attention to the smaller changes already happening in the realm of AI & their quite profound economic implications. Enter Prediction Machines."

  • San Francisco Review of Books (Robert Morris, 30 June 2018): "As they correctly suggest, their emphasis is on trade-offs: 'More data means less privacy. More speed means less accuracy. More autonomy means less control…The best strategy for your company or career or country will depend on how you weigh each side of every trade-off.'"

  • Forbes (Adi Gaskell, 4 June 2018): "[F]raming AI in terms of its predictive capabilities is not only a realistic portrayal of its capabilities today, but also one that business leaders can both understand and act upon. For that alone, the book is worth reading."

  • Associations Now (Kristin Clark, 1 June 2018): "It’s a surprisingly readable manual that may guide even skeptics to the “a-ha” moment of affirmation."

  • The Undercover Economist (Tim Harford, 30 April 2018): "But being cheap can transform the world. “Prediction Machines” gratifyingly chimes with this idea. ...As a bonus, the book has lots of good examples and is written clearly. I learned a lot."

  • Overcoming Bias (Robin Hansen, 20 April 2018): "Five years later, we haven’t yet seen changes remotely this big. And a new book is now a worthy successor to Information Rules."

  • Irish Tech News (Simon Cocking, 23 March 2018): "After an early round of books with grand and large predictions of what AI can and can’t do, this book is a good, grounded analysis of what we can expect to see in the near future.

Media Mentions

  • E+T: “The AI revolution may take longer than you think” (26 October 2023)

  • Charter: “How AI adoption could decrease income inequality” (22 October 2023)

  • Børsen: “Top professor: AI is “just advanced statistics” – that will change your business” (11 September 2023)

  • Zoom Blog: “An economist’s take on the power of predictive AI, and how it’ll transform entire industries” (8 September 2023)

  • Børsen: “Artificial Intelligence Changes the Rules of the Game” (5 September 2023)

  • Bright Futures (Podcast): “Economics of AI” (5 September 2023)

  • IMF F&D: “Embracing Artificial Intelligence” (September 2023)

  • Freakonomics (Podcast): “Can AI take a joke?” (August 2023)

  • Tablet: “How to Win the AI War” (14 June 2023)

  • Partnering Leadership (Podcast): “Leading Through the Disruptive Economics of Artificial Intelligence” (23 May 2023)

  • Organiser: Voice of a Nation: “ChatGPT Row: Hollywood writers protest against Artificial Intelligence, claiming it’s taking away their jobs” (3 May 2023)

  • Australian Financial Review: “Why AI is the productivity boost we have been waiting for” (18 April 2023)

  • Business Insider: “There are the 9 best books to get up to speed on the hot new world of generative AI, according to experts” (2 April 2023)

  • ABC’s Money Podcast: “Bank contagion, submarines and jobs and the future of the workplace with AI“ (23 March 2023)

  • Forbes: “AI May Be Slow In Delivering But Will ‘Bring Fundamental Change’” (27 February 2023)

  • Katie Couric: “Is ChatGPT coming for your job?” (16 February 2023)

  • BRINK: “AI Will Have a Revolutionary Effect on Executive Decision-Making” (14 February 2023)

  • PharmaLive: “A matter of trust” (13 February 2023)

  • CBC: “ChatGPT may reset the world of work as businesses rush to own artificial intelligence” (9 February 2023)

  • Okonomisk Ugebrev: “Artificial intelligence is now changing business” (8 February 2023)

  • Business Daily: “Dawn of AI tools: Adopt quickly or lose out in the future workplace” (8 February 2023)

  • Squirro (Podcast): “Redefining AI” (7 February 2023)

  • Inside Business (Denmark): “Get demystified AI with superb textbook” (2 February 2023)

  • Insider: “ChatGPT may be coming for our jobs” (2 February 2023)

  • Seeking Alpha: “2023 The Year Ahead” (26 January 2023)

  • Mint Lounge: “A cause for optimism about the AI revolution” (26 January 2023)

  • New Books Network (Podcast): “Power and Prediction” (24 January 2023)

  • Luohan Academy: “Joshua Gans Optimistic on ChatGPT’s Implications for the Future of Work” (20 January 2023)

  • U of T News: “Power and prediction: U of T's Avi Goldfarb on the disruptive economics of artificial intelligence” (20 January 2023)

  • JD Supra: “Sunday book review” (8 January 2023)

  • The Tough Tackle: “How the adoption of AI has yet to disclose ’s entire potential” (2 January 2023)

  • IPE Magazine: “Guest viewpoint: Why and how we need to change the conversation about pension reform” (2 January 2023)

  • Lifewire: “Some Human Authors Worry AI Will Take Their Jobs—Here's Why” (29 December 2022)

  • Six Pixels of Separation (Podcast): “Joshua Gans on the Economics of Artificial Intelligence” (24 December 2022)

  • The Wealthability Show (Podcast): “AI and Economic Disruption” (23 December 2022)

  • Strategy & Leadership: “Understanding the fundamental economics of AI” (22 December 2022)

  • The New Bazaar (Podcast): “Artificial Intelligence and the Economy of the Future” (20 December 2022)

  • New York Times: “Weekend read: ChatGPT and the “disruptive economics” of A.I.” (16 December 2022)

  • The Economic Times Morning Brief (Podcast): “ChatGPT Explained: The ABC of the new AI rage” (16 December 2022)

  • Counterfactual (Podcast): “Taking the Pulse of Artificial Intelligence” (15 December 2022)

  • Forbes: “The Ten Best Business Books of 2022” (14 December 2022)

  • The Times of Malta: “Digitisation: A Human Affair” (8 December 2022)

  • Tech for Non-Techies (Podcast): “Business reality does not match AI hype (yet)” (7 December 2022)

  • Disruptors (Podcast): “AI helped produce this episode” (6 December 2022)

  • Engadget: “Hitting the Books: AI is already reshaping air travel, will airports themselves be next?” (4 December 2022)

  • Venture Beat: “How AI adoption has yet to reveal its real potential” (28 November 2022)

  • Forbes: “Does Working With AI Help Or Hinder Employees?” (25 November 2022)

  • The Irish Times: “Artificial Intelligence can do so much more. Why are we not letting it?” (24 November 2022)

  • The Enterprisers Project: “10 must-read tech books for 2023” (23 November 2022)

  • Peggy Smedley Show (Podcast): “Power and Prediction” (15 November 2022)

  • BCG Henderson (Podcast): “Thinkers and Ideas: Power & Prediction” (15 November 2022)

  • CBC Spark with Nora Jones: “What AI can and can’t do” (13 November 2022)

  • Connected Intelligence (Podcast): “Power and Prediction” (10 November 2022)

  • WAKR: “This Week in Tech” (4 November 2022)

  • The Varsity: “Rotman professors write a book on the economic disruption that AI causes” (30 October 2022)

  • Forbes: “The Value of Artificial Intelligence isn’t just Insights” (25 October 2022)

  • Forbes: “Why is technology not producing productivity improvements?” (20 October 2022)

  • Forbes: “The Disruptive Economic Impact of Artificial Intelligence” (19 October 2022)

  • Fintech Finance News: “De-hyping the Metaverse” (11 October 2022)

  • HBR IdeaCast: “To Improve AI Outcomes, Think about the Entire System” (4 October 2022)

  • Forbes: “Economist’s view of Artificial Intelligence: Beyond Cheaper Prediction Power” (17 September 2022)

  • The Economist: “The five best books to understand AI” (4 August 2022)

  • The Economist: “New research shows the robots are coming for jobs—but stealthily” (16th January 2021)

  • YourStory: “The power of cheap prediction” (2 April 2020)

  • Business Standard: “Ajay Agrawal explains the economics of AI and what organisations can do with it” (7 February 2020)

  • The Hindu Business Line: “Human judgement will become more valuable in the age of AI” (4 February 2020)

  • Triangle Business Journal: “These are the jobs AI is poised to disrupt” (16 January, 2020)

  • Take Six (Podcast): “It’s 2020, let’s talk about AI” (15 January 2020)

  • Forbes India: “In jobs, expertise from experience is no longer critical” (13 January 2020)

  • Bloomberg: “10 Books on Thinking about Thinking” (14 December 2019)

  • Forbes: “Business Leaders: Integrating AI and Machine Learning starts with your data scientists” (13 December 2019)

  • Business Insider: “The top books tech chiefs recommend to help leaders influence employees and spearhead digital overhauls” (18 October 2019)

  • Financial Post: “Artificial intelligence is at the heart of online toxicity, Grand Committee hears” (29 May 2019)

  • HR Examiner: “Can HR Become a Prediction Machine? Rethinking AI and Talent” (28 May 2019)

  • HBS Future of Work (Podcast): “Prediction: How AI will affect business, work, and life” (8 May 2019)

  • Talk About Talk: “Artificial Intelligence: Talking with Siri and Alexa” (23 April 2019)

  • Forbes: “Lessons to Learn: Great Reading for AI Decision Makers” (27 March 2019)

  • White House: Economic Report of the President, Chapter 7 (19 March 2019)

  • Bloomberg: “Business Leaders Love AI. That Doesn’t Mean They Use It.” (9 March 2019)

  • Interesting Engineering: “Will China’s AI industry win humanity’s final arms race?” (27 February 2019)

  • Financial Post: “Innovation Nation: AI godfathers gave Canada an early edge — but we could end up being left in the dust” (20 February 2019)

  • MIT Technology Review: “AI is reinventing the way we invent” (15 February 2019)

  • Digitalist: “In the past year AI started to change business” (14 February 2019)

  • CtrlShift: “My favourite three business books of the year” (15 January 2019)

  • Data Driven Investor: “Cutting through AI hype” (8 January 2019)

  • Forbes: “Top Ten Technology Books of 2018” (7 January 2019)

  • CBC Radio: “Robo-doctors? How AI could do jobs we once thought couldn’t be automated” (4 January 2019)

  • Observer Research Foundation: “Reskilling without a sunset clause” (4 January 2019)

  • IoT for All: “Business 2.0: How Adopting AI can enhance your business” (20 December 2018)

  • The Peggy Smedley Show: “AI Augments” (4 December 2018)

  • Insights by Stanford Business: “Here’s what to read over the holidays” (4 December 2018)

  • IT World Canada: “Understand how AI can change your business with this one simple trick” (15 November 2018)

  • New York Times Magazine: “The Human Brain is a Time Traveller” (15 November 2018)

  • First Post: “Does a machine colonised future await Indian youth in the era of Industry 4.0” (9 November 2018)

  • Quartz: “It’s time to take India-Canada ties out of the US’s shadow” (9 November 2018)

  • Fast Company: “5 ways AI will change the way you think about everything” (7 November 2018)

  • NPR MarketWatch: “How artificial intelligence could replace credit scores and reshape how we get loans” (7 November 2018)

  • Snider Focus on Innovation and Markets Podcast: “Using AI to Manage Uncertainty in Business” (5 November 2018)

  • AIMed: “Prediction Machines” (28 October 2018)

  • Twit.tv Triangulation: “Joshua Gans: Prediction Machines” (26 October 2018)

  • CEO: “AI for the rest of us” (October 25, 2018)

  • New York Times: “From Agriculture to Art — the AI wave sweeps in” (21 October 2018)

  • HR Executive: “How technology helps us make better HR decisions” (3 October 2018)

  • Forbes: “Using AI to improve your predictive capabilities” (19 September 2018)

  • Health Care Analytics News Podcast: “Implementing AI is simpler than you think” (14 September 2018)

  • Economia: "Between the lines" (4 September 2018)

  • DZone: "Tackling the risks of prediction machines" (1 September 2018)

  • ORF Interview: "Avi Goldfarb on prediction machines" (29 August 2018)

  • The Enterprisers Project: "AI Bootcamp: 10 books to get up to speed" (27 August 2018)

  • The Not Unreasonable Podcast: "Joshua Gans on Prediction Machines" (22 August 2018)

  • Global Brains Podcast: "Prediction machines meet judgment" (22 August 2018)

  • Money Week: "There's nothing to fear from the rise of the machines" (26 July 2018)

  • EFT Trends: "How AI will change your life, business and the economy" (25 July 2018)

  • Manufacturing Business Technology: "Predicting a rise in predictive technology" (24 July 2018)

  • Foreign Policy: "Then they came for the lawyers" (16 July 2018)

  • Business Insider: "22 books Wall Streeters think everyone should read this summer" (15 July 2018)

  • Forbes: "The Economics of Artificial Intelligence -- How cheap predictions will change the world" (10 July 2018)

  • Market Meditations Podcast: "What does AI mean for my business. The economics of it all ..." (8 July 2018)

  • Handelsblatt: "Why AI is as important as electricity" (6 July 2018)

  • Politico: "What Politicos are reading this summer" (4 July 2018)

  • Techristic: "AI Ecosystem in Toronto a Model" (3 July 2018)

  • Business Digest: "AI: The ally that will boost your predictions" (28 June 2018)

  • Fast Company: "How to prepare your kids for jobs that don't exist yet" (27 June 2018)

  • Engineering & Technology: "Book Interview: Joshua Gans, 'Prediction Machines'" (25 June 2018)

  • BNN Bloomberg MoneyTalk: "The Future of AI" (25 June 2018)

  • Obserwator Finance: "How artificial intelligence changes business" (24 June 2018)

  • The Economist: "How an algorithm may decide your career" (23 June 2018)

  • Bloomberg: "Six books worth reading this summer" (21 June 2018)

  • The Scotsman: "How machine learning is transforming the stock exchange" (21 June 2018)

  • Sydney Morning Herald: "Everyone except the government knows childcare isn't predictable" (18 June 2018)

  • Economia: "On the road to autonomous driving" (15 June 2018)

  • NRC.nl: "Singularity? AI is far from there" (15 June 2018)

  • Forbes: "How AI can help leaders make better decisions" (14 June 2018)

  • AdWeek: "Q&A: Author Avi Goldfarb on How AI Will Change the World—Without Sci-Fi Glamour" (13 June 2018)

  • Getting Better Podcast: "With Ajay Agrawal" (13 June 2018)

  • Ideas for Leaders Podcast: "Joshua Gans on Prediction Machines" (12 June 2018)

  • The Stack: "How the UK will approach artificial intelligence job disruption" (11 June 2018)

  • The Economist: "The market for driverless cars will head towards monopoly" (9 June 2018)

  • Scaling up Business Podcast: "Why Should AI Matter to You" (8 June 2018)

  • BBC World Service: "Avi Goldfarb on AI" (37 minutes in) (3 June 2018)

  • HR Examiner: "Can HR become a prediction machine? Rethinking AI and talent" (30 May 2018)

  • CBC News: "After years hidden in the background, artificial intelligence is getting pushy" (22 May 2018)

  • HBR IdeaCast: "How AI is making prediction cheaper" (22 May 2018)

  • MoneyLife Show: "The Book Interview" (16 May 2018)

  • AmEx Open Forum: "AI in Business: How Artificial Intelligence May Benefit Your Company" (11 May 2018)

  • Financial Times: "Cheap innovations are often better than magical ones" (4 May 2018)

  • CNBC: "China is determined to steal the AI crown from the US and nothing, not even a trade war, will stop it" (4 May 2018)

  • BigThink: "Why AI's true potential is learning to read the future" (4 May 2018)

  • McKinsey Quarterly: “The Economics of Artificial Intelligence” (April 2018)

  • Globe and Mail: "As AI goes corporate, startups look to prove themselves" (27 April 2018)

  • Hindustan Times: "India could be the data hub for the AI arrival" (27 April 2018)

  • Skip Pritchard Leadership Insights: "Prediction Machines: The Simple Economics of Artificial Intelligence" (27 April 2018)

  • BNN Business Day: "Prediction Machines: The Current Wave of AI" (26 April 2018)

  • Bloomberg Benchmark Podcast: "How Artificial Intelligence is Taking over the Economy" (25 April 2018)

  • CSPAN: "Prediction Machines" (18 April 2018)

  • HR Happy Hour Podcast: "Understanding AI for HR" (18 April 2018)

  • 800CEORead: "Business Books to Watch in April" (10 April 2018)

  • The Economist: "Non-tech businesses are beginning to use artificial intelligence to scale" (28 March 2018)

  • The Verge: "Meet the Lady Gaga of Mathematics helming France's AI Taskforce" (28 March 2018)

  • The AI Effect podcast: Ecosystem perspectives: industry, government, startups, academia, investors (20 February 2018)

  • The Economist, "Why scan reading artificial intelligence is bad news for radiologists" (29 November 2017)

  • Wall Street Journal, "How robots may make radiologist's jobs easier, not redundant" (22 November 2017)

  • Politico "Donald Trump is Making Canada Great Again" (1 October 2017)

  • The Irish Times "Rise of AI will raise importance of good human judgment"(1 September 2017)

  • Wall Street Journal "What Econ 101 can teach us about Artificial Intelligence" (9 August 2017)

  • Wall Street Journal "We Survived Spreadsheets, and We’ll Survive AI" (2 August 2017)

  • Globe and Mail "Billion Dollar Breakout" (17 March 2017)

  • Fortune, "How Economists View the Rise of Artificial Intelligence" (29 October 2016)