Erik Brynjolfsson Quotes

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  • It's most useful to think about not jobs but tasks. And within any given job, there are lots of different tasks. If you're a radiologist maybe reading the images machines can be able to do that better, maybe making the broader diagnosis and communicating it to the patients.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". "TED Radio Hour" with Guy Raz, kucb.org. April 21, 2017.
  • There are lots of examples of routine, middle-skilled jobs that involve relatively structured tasks, and those are the jobs that are being eliminated the fastest. Those kinds of jobs are easier for our friends in the artificial intelligence community to design robots to handle them. They could be software robots; they could be physical robots.

    Jobs   Community   Design  
    "Are robots hurting job growth?". "March of the Machines" with Steve Kroft, www.cbsnews.com. January 13, 2013.
  • Computers get better faster than anything else ever.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". "TED Radio Hour" with Guy Raz, kvpr.org. April 21, 2017.
  • Knowing how to keep someone motivated and how to keep a connection are skills humans have learned and evolved over hundreds of thousands of years. A robot can't figure out whether you can do one more push-up, or how to motivate you to actually do it.

    Years   Skills   Knowing  
  • The kind of job where you come in and work 9 to 5, and where someone tells you what to do all day is becoming scarcer and scarcer.

  • Going a little further into the future, we'll start literally connecting to machines. Some of my colleagues at MIT here - some of them are working on a neural mesh that connects directly to your brain, and they've already done it with some disabled people and allowed them to move objects just by thinking.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". "TED Radio Hour" with Guy Raz, wvpublic.org. April 21, 2017.
  • G.D.P. is not a measure of how much value is produced for consumers. Everybody should recognize that G.D.P. is not a welfare metric.

  • For a long time, the humans are going to be better than the machines and so different parts of the job will be leveraged. In a way that's happened for centuries, and we've adapted. And it's made the people who had parts of their jobs automated more valuable and more productive to the extent that they are essential for the other components of their jobs.

    Long   People   Different  
    Source: www.npr.org
  • Machines already are much smarter than us at so many things. I mean, try to multiply two 10-digit numbers with each other or, you know, sift through a thousand documents. So there's lots of things that machines are better at including in mental task than us. There's many more that they're not as good at, but the direction is pretty obvious and the progress is clear.

    Mean   Progress   Trying  
    Source: www.npr.org
  • Technology is always creating jobs. It's always destroying jobs.

    "Are robots hurting job growth?". "March of the Machines" with Steve Kroft, www.cbsnews.com. September 8, 2013.
  • The heart of science is measurement.

  • But the broader lesson of the first Industrial Revolution is more like the Indy 500 than John Henry: economic progress comes from constant innovation in which people race with machines. Human and machine collaborate together in a race to produce more, to capture markets, and to beat other teams of humans and machines.

    Team   Race   People  
    Erik Brynjolfsson, Andrew McAfee (2012). “Race Against the Machine: How the Digital Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy”, p.59, Brynjolfsson and McAfee
  • Electricity is an example of a general purpose technology, like the steam engine before it. General purpose technologies drive most economic growth, because they unleash cascades of complementary innovations, like lightbulbs and, yes, factory redesign.

  • Computers get better, faster than anything else ever. A child's PlayStation today is more powerful than a military supercomputer from 1996. But our brains are wired for a linear world. As a result, exponential trends take us by surprise. I used to teach my students that there are some things, you know, computers just aren't good at like driving a car through traffic.

    Powerful   Military   Car  
    "The key to growth? Race with the machines". TED conference, www.ted.com. February 2013.
  • What can we do to create shared prosperity? The answer is not to try to slow down technology. Instead of racing against the machine, we need to learn to race with the machine.

  • Technology has made it easier for different firms to coordinate their activities with one another, and they don't have to be part of one company. They can get the benefits of scale without the inertia of scale.

  • Before information age, living standards basically were flat. Since then, they've been growing 2 percent a year were about 30 times richer. So technology, machines is really, you know, arguably the most important thing that's happened to humanity in terms of our living standards. You could look to the introduction of digital computers in the 1950s.

    Source: www.npr.org
  • Retailing has gone from an information-scarce to an information-rich environment.

  • In the global millennium goals, we're on track to beat and eliminate severe poverty. So there are lots of positive trends. I think the world in 25 years could be a much better version of the world we have today. But the role of humans would still be fundamentally at the center of that.

    Thinking   Track   Goal  
    Source: www.npr.org
  • Now comes the second machine age. Computers and other digital advances are doing for mental power - the ability to use our brains to understand and shape our environments-what the steam engine and its descendants did for muscle power.

    Brain   Age   Machines  
    "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies". Book by Erik Brynjolfsson and Andrew McAfee, 2014.
  • We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

    Data   Entering   Use  
  • Computers get better faster than anything else ever. A child's PlayStation today is more powerful than a military supercomputer from 1996.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". 'TED Radio Hour' with Guy Raz, www.npr.org. April 21, 2017.
  • The economy in the next 20 to 25 years is going to change more than they did in the last 20, 25 years. And that's because exponential trends are affecting a bigger and bigger share of the economy. So we have some huge disruptions in store, and I can't predict exactly what the innovations are going to be. If I did, I would have already invented them. But I think they'll be comparable to the innovations we saw in the past 20, 25 years if not greater.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". "TED Radio Hour" with Guy Raz, wvpublic.org. April 21, 2017.
  • Technology is not destiny. We shape our destiny.

    "Erik Brynjolfsson: In A Race With Machines, Can We Keep Up?". "TED Radio Hour" with Guy Raz, www.npr.org. April 21, 2017.
  • Technology is always creating jobs. It's always destroying jobs. But right now the pace is accelerating. It's faster we think than ever before in history. So as a consequence, we are not creating jobs at the same pace that we need to.

    Source: www.cbsnews.com
  • Because the process of innovation often relies heavily on the combining and recombining of previous innovations, the broader and deeper the pool of accessible ideas and individuals, the more opportunities there are for innovation.

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