Top 32 Quotes & Sayings by Erik Brynjolfsson
Explore popular quotes and sayings by an American educator Erik Brynjolfsson.
Last updated on November 23, 2024.
When I first started doing work on how the Internet is affecting commerce, like a lot of people, I was really excited by this nearly perfect market.
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.
The kind of job where you have to hustle and hustle and where you're not sure whether you will have enough clients next month, where you have less job security, is becoming much more common.
When goods are digital, they can be replicated with perfect quality at nearly zero cost, and they can be delivered almost instantaneously. Welcome to the economics of abundance.
Technology is not destiny.
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.
Some people think it's a law that when productivity goes up, everybody benefits. There is no economic law that says technological progress has to benefit everybody or even most people. It's possible that productivity can go up and the economic pie gets bigger, but the majority of people don't share in that gain.
Computers get better faster than anything else ever.
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.
The heart of science is measurement.
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.
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.
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.
Technology has always been destroying jobs, and it has always been creating jobs.
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.
Retailing has gone from an information-scarce to an information-rich environment.
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.
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.
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.
Technology is always creating jobs. It's always destroying jobs.
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 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.
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.
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.
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.
Computers get better faster than anything else ever. A child's PlayStation today is more powerful than a military supercomputer from 1996.
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.
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.
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.
Technology is not destiny. We shape our destiny.
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.
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.
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