- Home
- Business & Economics
- Economics
- Doomsday or Utopia? (The Economics of Artificial Intelligence)
Doomsday or Utopia? (The Economics of Artificial Intelligence)
List Price:
$24.95
| Expected release date is May 18th 2027 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
David K. Levine
Format:
Hardcover
Pages:
256
Publisher:
Cato Institute (May 18, 2027)
Imprint:
Cato Institute
Release Date:
May 18, 2027
Language:
English
Audience:
General/trade
ISBN-13:
9781969284489
ISBN-10:
196928448X
Weight:
16.29oz
Dimensions:
6.125" x 9.125"
File:
Eloquence-SimonSchuster_10192026_P10765485_onix30-20261018.xml
Folder:
Eloquence
List Price:
$24.95
Pub Discount:
65
Case Pack:
24
As low as:
$19.21
Publisher Identifier:
P-SS
Discount Code:
A
Overview
Will AI take your job? Economist David K. Levine says no and explains why.
Headlines warn that artificial intelligence will wipe out jobs, hand control of the economy to a few tech billionaires, and rot our brains or lead to untold prosperity. So, which is it? Doomsday or Utopia? tests those predictions against what economics and the history of technology actually show.
David K. Levine, an MIT-trained economist who has studied game theory and innovation for decades and has written software since 1970, starts with a fact the AI doomsayers ignore. Between 1976 and 2026, nonfarm employment in the United States roughly doubled, contrary to predictions that offshoring, personal computers, and factory robots would end work. He then shows what that record means for AI and the future of work.
This book covers:
- How machine learning and large language models work, and why AI knowledge is shallow compared to human expertise.
- Why comparative advantage and technological advances lead to new demand for human work, from software developers to doctors.
- How AI will impact our analytical capabilities, education, how research gets done, and fields ranging from caregiving to space exploration.
Levine rejects both the dystopian and utopian scenarios surrounding discussions of AI. His forecast is more ordinary—and more useful: real disruption and losses for some workers, but also a more productive economy in which most people end up better off. He also warns against fear-driven policies that could choke off such advances.
Levine provides a clear, evidence-based guide to the future of work for policymakers, students, professionals weighing their careers, business leaders, and anyone who wants the economics of artificial intelligence without the hype.
Headlines warn that artificial intelligence will wipe out jobs, hand control of the economy to a few tech billionaires, and rot our brains or lead to untold prosperity. So, which is it? Doomsday or Utopia? tests those predictions against what economics and the history of technology actually show.
David K. Levine, an MIT-trained economist who has studied game theory and innovation for decades and has written software since 1970, starts with a fact the AI doomsayers ignore. Between 1976 and 2026, nonfarm employment in the United States roughly doubled, contrary to predictions that offshoring, personal computers, and factory robots would end work. He then shows what that record means for AI and the future of work.
This book covers:
- How machine learning and large language models work, and why AI knowledge is shallow compared to human expertise.
- Why comparative advantage and technological advances lead to new demand for human work, from software developers to doctors.
- How AI will impact our analytical capabilities, education, how research gets done, and fields ranging from caregiving to space exploration.
Levine rejects both the dystopian and utopian scenarios surrounding discussions of AI. His forecast is more ordinary—and more useful: real disruption and losses for some workers, but also a more productive economy in which most people end up better off. He also warns against fear-driven policies that could choke off such advances.
Levine provides a clear, evidence-based guide to the future of work for policymakers, students, professionals weighing their careers, business leaders, and anyone who wants the economics of artificial intelligence without the hype.
