The second machine age : work, progress, and prosperity in a time of brilliant technologies
306 pages ; 25 cm A revolution is under way. In recent years, Google's autonomous cars have logged thousands of miles on American highways and IBM's Watson trounced the best human Jeopardy! players. Digital technologies -- with hardware, software, and networks at their core -- will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human. In The Second Machine Age MIT's Erik Brynjolfsson and Andrew McAfee reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives. Amid this bounty will also be wrenching change. Professions of all kinds, from lawyers to truck drivers, will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar. Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape Includes bibliographical references (pages 263-292) and index The big stories -- The skills of the new machines: Technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation: Declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners: Stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines: Recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future")
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