埃裏剋·布林約爾鬆(Erik Brynjolfsson),麻省理工斯隆管理學院的教授,麻省理工數字商務中心主任,《斯隆管理評論》主席,國傢經濟研究局助理研究員,與人閤著有《連綫創新:信息技術如何重塑經濟》。早年畢業於哈佛大學和麻省理工學院。
安德魯·麥卡菲(Andrew McAfee),麻省理工斯隆管理學院數字商務中心的首席研究科學傢和副主任。曾著有《企業2.0:幫助企業迎接最嚴峻挑戰的全新協作工具》。早年畢業於麻省理工學院和哈佛大學。
本書網站:http://raceagainstthemachine.com/
作者之一安德魯·麥卡菲曾在“TEDxBoston”大會上以“與機器賽跑”為題發錶演講,視頻地址:http://tedxtalks.ted.com/video/TEDxBoston-Andrew-McAfee-Race-A
Why has median income stopped rising in the US?
Why is the share of population that is working falling so rapidly?
Why are our economy and society are becoming more unequal?
A popular explanation right now is that the root cause underlying these symptoms is technological stagnation-- a slowdown in the kinds of ideas and inventions that bring progress and prosperity.
In Race Against the Machine, MIT's Erik Brynjolfsson and Andrew McAfee present a very different explanation. Drawing on research by their team at the Center for Digital Business, they show that there's been no stagnation in technology -- in fact, the digital revolution is accelerating. Recent advances are the stuff of science fiction: computers now drive cars in traffic, translate between human languages effectively, and beat the best human Jeopardy! players.
As these examples show, digital technologies are rapidly encroaching on skills that used to belong to humans alone. This phenomenon is both broad and deep, and has profound economic implications. Many of these implications are positive; digital innovation increases productivity, reduces prices (sometimes to zero), and grows the overall economic pie.
But digital innovation has also changed how the economic pie is distributed, and here the news is not good for the median worker. As technology races ahead, it can leave many people behind. Workers whose skills have been mastered by computers have less to offer the job market, and see their wages and prospects shrink. Entrepreneurial business models, new organizational structures and different institutions are needed to ensure that the average worker is not left behind by cutting-edge machines.
In Race Against the Machine Brynjolfsson and McAfee bring together a range of statistics, examples, and arguments to show that technological progress is accelerating, and that this trend has deep consequences for skills, wages, and jobs. The book makes the case that employment prospects are grim for many today not because there's been technology has stagnated, but instead because we humans and our organizations aren't keeping up.
發表於2025-02-02
Race Against the Machine 2025 pdf epub mobi 電子書 下載
似乎我們所接觸的所有信息都很自信得告訴我們,科技帶給我們的一定是利好的信息,人類一定會在技術的幫助下,朝著光明的未來奔去。 沒看這本書前,我也已經有瞭近乎完全一樣的觀點,我的觀點可能比本書所論的,“技術發展或許將會帶來失業等問題”的觀點更大膽和悲觀一些。即...
評分從前有一群看門狗看守著主人的重要寶藏,這一天來瞭一夥盜賊,盜賊們看起來都很聰明,他們先給看門狗扔瞭很多肉包子,待看門狗狼吞虎咽時,進入房間偷走寶藏。當看門狗吃完肉包子之後纔發現,什麼都沒有瞭。 這也是人類需要麵對的情形:當人們還在享受科技帶來的便利與榮耀時...
評分充斥在市麵上的大量Geek文化,由於網絡平颱而擴散到日常生活中。曾幾何時,你本來學國畫的朋友開始追捧電子産品,高中數學徘徊及格綫的老同桌也力推IT文化,更彆提隔壁中專畢業的吳老二老跑新華書店買書自學邏輯電路瞭。“技術宅拯救世界”這樣的流行語隻是對信息技術崇拜的一...
評分 評分圖書標籤: 經濟學 社會學 Technology IT AI 經濟 英文 社會
新的思路
評分喔喔,不錯的未來學著作,短小精悍!
評分這是一本社會學的書,分析和結論讓我想到人類需要一次“大低榖”時期,除掉幾次産能革命之前遺留下來過多的低素質人口。。。(隻是隨便想想,我不敢反人類)
評分高級!要不被機器取代,就要從這幾個方麵著力:直覺,創造性,理解,愉悅。以往這些被看作“軟技能”,以後它們是唯一需要人類的領域。
評分立論有力,分析簡潔。一句話總結how human win the race against machine:數學公式 n!>2^n,即combinatorial explosion outgrows exponential trend, eg. Moore's Law.
Race Against the Machine 2025 pdf epub mobi 電子書 下載