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Race Against The Machine: How the Digital Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy Kindle Edition
| Erik Brynjolfsson (Author) Find all the books, read about the author, and more. See search results for this author |
| Andrew McAfee (Author) Find all the books, read about the author, and more. See search results for this author |
Why is the share of population that is working falling so rapidly?
Why are our economy and society are becoming more unequal?
A growing chorus is arguing that the root cause underlying these symptoms is stagnation in technology -- 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 particular, 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.
In Race Against the Machine Brynjolfsson and McAfee bring together a range of statistics, examples, and arguments to show that the average worker is not keeping up with cutting-edge technologies, and so is losing the race against the machine. 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.
- LanguageEnglish
- Publication dateOctober 17, 2011
- File size518 KB
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Editorial Reviews
Review
"This is, quite simply, the best book yet written on the interaction of digital technology, employment and organization. Race Against the Machine is meticulously researched, sobering, practical and, ultimately, hopeful. It is an extremely important contribution to the debate about how we ensure that every human being benefits from the digital revolution that is still gathering speed. If you read only one book on technology in the next 12 months, it should be this one." -Gary Hamel
"In social science inquiry, we badly need the right people asking, and answering, the right questions. That's precisely what Brynjolfsson and McAfee do in this important treatise on the intersection of technology and the economy. Moreover, they're tackling the most important question of the present and the future: where are the new jobs going to come from?" - Jared Bernstein
"Race Against the Machine is a portrait of the digital world - a world where competition, labor and leadership are less important than collaboration, creativity and networks." - Nicholas Negroponte
About the Author
Andrew McAfee is a principal research scientist and associate director at the MIT Center for Digital Business at the Sloan School of Management. He is the author of Enterprise 2.0: New Collaborative Tools for Your Organization's Toughest Challenges. He graduated from MIT and Harvard University. --This text refers to the paperback edition.
Product details
- ASIN : B005WTR4ZI
- Publisher : Digital Frontier Press (October 17, 2011)
- Publication date : October 17, 2011
- Language : English
- File size : 518 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Enabled
- Word Wise : Enabled
- Print length : 98 pages
- Customer Reviews:
About the authors

Andrew McAfee (@amcafee), a principal research scientist at MIT, studies how digital technologies are changing the world. His new book "More from Less: The Surprising Story of How We Learned to Prosper Using Fewer Resources - and What Happens Next" will be published by Scribner in October of 2019. His prior book, written with Erik Brynjolfsson, is "Machine | Platform | Crowd: Harnessing our Digital Future." Their 2014 book "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies" was a New York Times bestseller and was shortlisted for the Financial Times / McKinsey business book of the year award.
McAfee has written for publications including Harvard Business Review, The Economist, The Wall St. Journal, the Financial Times, and The New York Times. He's talked about his work on The Charlie Rose Show and 60 Minutes, at TED, Davos, the Aspen Ideas Festival, and in front of many other audiences.
McAfee and Brynjolfsson are the only people named to both the Thinkers 50 list of the world’s top management thinkers and the Politico 50 group of people transforming American politics.
McAfee was educated at Harvard and MIT, where he is the co-founder of the Institute’s Initiative on the Digital Economy. He lives in Cambridge, Massachusetts, watches too much Red Sox baseball, doesn't ride his motorcycle enough, and starts his weekends with the NYT Saturday crossword.

Erik Brynjolfsson is the director of the MIT Center for Digital Business and one of the most cited scholars in information systems and economics.
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The author's then suggest increasing the H1B program. Now that's a solution - not. How about teaching America's youths math and science rather than teaching egoism and the belief that they can get a handle on technology or life in general without building a foundation. Again, it just isn't realistic. I understand why y'all (business guys) needed the H1B program. Without it, you'd be paying me way more than I'm already making and you still wouldn't have enough programmers. But what's the solution to that? Perhaps educate more United States citizens? Maybe teach a little less businessy soft skills and more solid skills like math and science? Although I am not against immigration, it seems to me that all you are going to do with increased H1B is going to do is make it cheaper for the 1% to get the labor they need.
So let's call a spade a spade. The authors are the intellectual arm of the 1%. Their solutions will drive down the wages for the small group of middle-class that remains, such as myself. The small group of United States citizens that still wish to pursue math and science will have their wages fall too, because the money will flow to the 1% instead of me and my ilk.
And as for the business-entrepreneurs. Two-words: Starbucks Management. How many entrepreneurs actually succeed? The founders of Google are not products of "manager school;" they are products of a technical education grounded in math and science. The solutions posed by these authors will do nothing more than increase the number of disgruntled, unemployed business school graduates who are desperately trying to create their own job in an economy that no longer needs them. Sure some will succeed, but most will not.
Now, I'm no PhD in Economics, much less a PhD in Economics at MIT, but seems to me the problem is simple. Technology has allowed us to capture/save energy expenditure at a phenomenal rate. Suddenly, wealth at an unprecedented scale is being generated while at the same time the need for labor is decreasing. Hmm....sounds like some republic that lapsed into tyranny awhile back. You know, the one we all read about in college back when we actually took courses in liberal arts, history, and classical civilization. The problem is how do we free up that tremendous wealth being generated so that American society as a whole can prosper. How about Al Gore's suggestions on increasing research, public works, and government sector employment? The 1% is amassing incredible wealth, the masses are getting poorer and poorer, yet living in a consumer economy. Now, when they finally decide enough is enough, who's getting burned at the stake, only the 1%? I'd suggest that MIT Economists and overpaid neck-beards like myself are going to be on the menu too. Maybe not us, but then what about our kids? Common sense tells us we need to do something now just to preserve our hides much less our liberty.
This YouTube video showing an argument between Dr. Michio Kaku and some Harvard business school guy best illustrates the problem the USA has with technology. Just watch the body language and the disdain the business guy holds for the neck-beard. I'm not anti-management, I need a manager, they serve an important job; but they can't all be entrepreneurs and we need to stop this manager/technical divide. The only folks who are going to win by this divide are China, India, and the 1% in the USA. Business folks hold technical folks with disdain, and that is very unfortunate. I challenge you to go to the middle of this video and not recognize the disdain and disrespect shown to Dr. Kaku....
[...]
So sure, if we continue in the path that we have "the managerial intellectual capital" that directs the technical capital (who increasingly are foreign born and require a lower wage), then we will continue to prosper, only the "we" becomes smaller and smaller. Those of us who still cling to a middle-class lifestyle start to feel the hurt in the future, but to a lesser extent than the vast majority of America. Now, the accountants, junior lawyers and paralegals, and other knowledge workers....forget about it, increasingly they will join the ranks of the so-called welfare cheats.
Here's a couple quotes from the book:
Decouple benefits from jobs to increase flexibility and dynamism.
Preserve the relative flexibility of American labor markets by resisting efforts to regulate firing and hiring.
and one of the pernicious quotes:
Eliminate or reduce the massive home mortgage subsidy...While home ownership has many laudable benefits, it likely reduces labor mobility and economic flexibility, which conflicts with the economy's increased need for flexibility.
----
But isn't there an alternative? It sounds liberal, but it'll save our butt. It'll save the 1% too! We need to find a way to free up the wealth being generated.
Problem 1: Those darn intellectuals
We increase research in the liberal arts. We make it so a PhD in Underwater Classical Roman Archaeology in the Black Sea from 100BC to 200BC can actually find a job generating yet more knowledge on that brief period. We have the money - computers are making it so. We are in a period of unprecedented abundance. We can afford providing public funds for research in the liberal arts. So now the educated elite are busy studying things like Chinese Vases in the first century BCE, or the effects of climate change on cave men, or whether Neanderthals interbreed with humans, and other non-GDP raising activities. Think about it, now they are too busy to write the next "Common Sense" or "Das Kapital." Net benefit for society as a whole! No pesky feminist rabble- rousers stirring up trouble! They are too busy studying French Sexism in 20th century literature because they can find a job doing that! Society and knowledge continues to move forward. And the managerial jobs required to regulate and manage all this research will increase, albeit at a slower rate than without computers.
Problem 2: The Neck-Beards and Education
We increase funding for math and science. We fight the tendency of Google to lure students into thinking smarter than they really are. We don't let students use calculators, Wolfram-Alpha, and other tools until they build their foundation through good ole fashion pencil and paper. We focus on creating scientists not entrepreneurs. We increase public funding of research institutes. Research institutes will lead to new breakthroughs, benefiting the 1% and society as a whole. Biology, Physics, and other sciences - both theoretical and applied - lead us to new heights in our society. But, we allow kids to pursue the arts if that is their leaning. Remember, now that we've freed up some of the wealth being generated by the machines, and we have all this new wealth from math and science, we have even more money to focus on the arts, so now little suzy can get a job as an art historian.
Problem 3: The Majority of College Educated
Most just go to college to get a job. There is nothing wrong with this. There is no higher calling than raising a family and being a productive citizen, particularly a citizen in a republic like the United States. Well, there should be more jobs for these folks too. If the wealth tied up by the 1% is being redistributed, and research, public works, and other activities increase - those folks need more stuff. So good old USA consumption should increase. So jobs should increase for the rest of the population, albeit at a slower rate due to computers. Also, the artists and neck-beards will be too busy doing what it is they do to want to manage the day to day paperwork. Sure computers will still be doing most of it, but there will be some jobs needed for those tasks. And increased demand for middle management might have to force Starbucks to pay more for lower managerial positions, where he/she might actually be able to afford a family.
Problem 4: The Masses
This is a sticky one. Public works? Creating jobs that benefit society as a whole? We must figure something out, and fast. History shows us over and over again what happens when the masses have too much time on their hands, and it ain't pretty. All it takes is one demagogue and we can kiss our upper middle-class butt goodbye. And that goes for MIT college professors and the 1% too. When the cork blows, it hurts us all.
Conclusion
There is one problem: the wealth being generated from technology is increasingly being tied up by the 1%. The solution is equally simple: free that wealth up to invest in society so that we all productively enjoy the benefits this technology is producing.
The book, though well written, left me frustrated in the end. Rather than tackling the problems rationally, using data, like the first half of the book, the authors take refuge in the conservative party line and take the easy way out through restating popular beliefs repeated in business-school as a mantra rather than sound research on the problems facing us. The simple reality is that there is less and less need for the 40 hour a week employee. The manager, semi-educated employee, and even the educated knowledge worker, are increasingly finding no place for themselves in this world. So we have a choice: leave em unemployed and let the 1% keep their savings and get richer, or free-up that 1% and reinvent work and society as a whole.
IMHO this book didn't attempt to address the real issue and instead skirted it and lapsed into a "fox-news" style solution. Maybe my ideas in this diatribe are equally unrealistic, but gosh darn it, at least try addressing the issues head on. I'm willing to change my beliefs as a result of a good book's analysis. As Ross Perot once said, "I'm all ears." We are on the verge of a either a new golden-age or a new dark-age in the United States, what path will we choose?
Within “The Second Machine Age” the authors will expand on a few concepts.
They will bring in more historical context to their research by studying the Industrial Revolution that they describe as the first tipping point in human history (circa 1800). Indeed, any time series graph of worldwide economic growth, GDP per capita, population growth will typically show the exact same pattern. The curve will look nearly flat for a millennium and abruptly rise upward at an inflection point close to 1800. The authors indicate that this first inflection point in history was caused by the advent of James Watt steam engine introduced in 1775 at the onset of the Industrial Revolution. It led to innovative and technological improvements including mass production, railways, and mass transportation. Additionally, they will redefine the Present as the second tipping point. They will also refer to the first tipping point and its aftermath as the First Machine Age, and the second tipping point as the Second Machine Age.
Additionally, within “The Second Machine Age” the authors will repackage their ideas so that all the benefits of technology will be encapsulated in a single word: “bounty.” Meanwhile, all the associated concerns with technological unemployment and rising inequality will be captured in the word “spread.” This will allow them to use effective shorthand description of their objectives. For instance, going forward how can we increase the bounty and reduce the spread? And, they will offer many recommendations on how to do so.
Besides the mentioned expansion within “The Second Machine Age”, “Race Against The Machine” very well captures the essence of their theory.
The authors were among the first to recognize that the Great Recession recovery was different. Even though many economic metrics had recovered quickly including Real GDP, Real GDP per capita, corporate profits, business investments in equipment and software; other measures of economic health did not recover so well. All employment figures recovered a lot more slowly as job creation remained anemic for a long time. And, Real median household income remained flat.
How can Real GDP per capita increase rapidly meanwhile Real median household income remained flat? The answer is simple. It is the difference between the Median and the Average. The Average is skewed upward by very large figures. Meanwhile, the Median is not. Thus, technological progress has contributed to a rapid rise in income for the technologically savvy, entrepreneurs in high-tech fields, stars able to resell their talent digitally worldwide. Thus, technology-benefitting elite has seen its income and wealth grow very rapidly. Their income/revenue growth contributes to GDP growth and it distorts upward average Real GDP per capita. Meanwhile, the majority that did not reap the benefits from technology has experienced stagnant income as some of their respective demand for their labor has been increasingly displaced by technology. The advent of computers, software, robots, artificial intelligence, and web based software platforms has affected just about every field (blue and white collar service industries included). And, this decoupling effect goes further back than the Great Recession. It can be observed since 1975 (near the onset of mass computerization).
So, going back to the race between brains and technology, is there any hope for humans?
The authors indicate the issue on an individual level is very interesting.
They take the example of chess. IBM Deep Blue handily beat Kasparov in chess in 1997. Nowadays, even mid-tier software computer programs on cheap laptop computers can beat the best human chess player. So, what can human beings contribute to this most demanding cognitive challenge (playing chess)? Surprisingly, a whole lot!
With the advent of freestyle chess, humans have regained a leading role in this discipline. Freestyle chess entails a tournament between completely different set of team players. A team can consist of a supercomputer (successor of IBM Deep Blue), or a supercomputer plus a human, or various combination of computers and human players cooperating on the same team. And, the outcome of such tournaments is counterintuitive. The winners are not the teams made up of grandmaster chess players and supercomputers. They are instead teams made of amateur chess players and mathematicians with expertise at analyzing freestyle chess games and guiding several laptop computers with Machine Learning and other algorithms.
In freestyle chess, the grandmasters are at a marked disadvantage. This is because they are overconfident in their expertise just like any expert typically is (as captured within Phillip Tetlock’s work on the subject) and they typically do not trust the machines and have little ability in using them.
Supercomputers on a stand-alone basis have little chance in such tournaments. They can’t match the creativity of human-computer teams. In the near future of freestyle chess, we can anticipate that grandmaster chess players and stand-alone supercomputers will quit this league. Humans who understand machines and machines make for the winning combination. And, this may be the case regardless of the field. As with chess, it is anticipated that IBM Watson specializing in healthcare will be much more effective when combined with the judgment of doctors than without (or probably the judgment of specialists able to better interpret IBM Watson diagnostics rather than expert doctors who are overconfident in their expertise).
However, what is true for an elite few freestyle chess quants may have little relevance for the masses. Today’s information technologies do contribute to inequality and technological unemployment because:
1) They favor more skilled and educated workers over lesser skilled and educated ones;
2) They increase the return to capital owners over labor;
3) They increase the advantages of stars over everybody else.
Nevertheless, the authors still describe themselves as technology-optimists. And, they come up with a series of 19 specific recommendations so that society at large better adapts and learns how to race with the machine instead of against the machine. Their recommendations are associated with improving K-12 education, improving national infrastructure, reducing regulations affecting start-ups, rationalizing immigration policy so we can attract smart emigrants to fill crucial vacant jobs in engineering and science, reform the patent system to stimulate innovation instead of stifling it, reform the tax code to eliminate market distorting subsidies (in housing in particular), increase Government funding in basic research, and many other sensible recommendations.
Although the authors’ recommendations make good sense, many of them are likely to run into a political wall of polarization. And, even if politically feasible you still have to wonder on a nationwide basis how effective these recommendations would be in materially bending the curve so that more individuals can metamorphose themselves from victim of technology (holding jobs that race against the machine) into beneficiary of technology (quantitative jobs that race with the machine). This issue may be a formidable worldwide challenge in the present and coming decades. And, Keynes had exactly figured that out back in 1930:
“We are being afflicted with a new disease of which some readers may not yet have heard the name, but of which they will hear a great deal in the years to come-namely, technological unemployment. This means unemployment due to our discovery of means of economizing the use of labour outrunning the pace at which we can find new uses for labour.”
To their credit, the authors do give full credit to this astonishingly prescient prediction of Keynes in both their books.
Top reviews from other countries
Brynjolfsson and McAfee don't look at these implications or remedies. Instead they advocate that more people become high technology employees and entrepreneurs. But this doesn't address the problem if automation will then render further employment redundant. Unless the result of their prescriptions is taken as infinite levels of GDP?
Geoff Crocker
Author `A Managerial Philosophy of Technology : Technology and Humanity in Symbiosis' Palgrave Macmillan 2012
To me, the big potential flaw in their thinking is that they infer linear or even exponential improvements in machine intelligence. Arguing, for example, that because computers can now do simple pattern recognition or win at Jepoardy, then the ability to solve more complex tasks is just around the corner. In many respects this book could have come out fo the late 1980's when Artificial Intelligence was booming and similar claims were made about chess-playing and robotics. In reality it has taken far longer than expected to produce robust, practical solutions. Natural Language recognition stands out as one of the few technologies that has made consumer-visible headway. Robots still struggle to vacuum a carpet reliably.
I bought the book because I though McAfee's Enterprise 2.0 thinking was interesting, but here I feel he's over-reached and the content is less thought-through. That's not to say that the book is bad, but I had hoped for much original insight.








