Are droids taking our jobs?
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0:01 - 0:03As it turns out, when tens of millions of people
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0:03 - 0:06are unemployed or underemployed,
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0:06 - 0:10there's a fair amount of interest in what technology might be doing to the labor force.
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0:10 - 0:12And as I look at the conversation, it strikes me
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0:12 - 0:15that it's focused on exactly the right topic,
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0:15 - 0:18and at the same time, it's missing the point entirely.
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0:18 - 0:21The topic that it's focused on, the question is whether or not
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0:21 - 0:25all these digital technologies are affecting people's ability
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0:25 - 0:28to earn a living, or, to say it a little bit different way,
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0:28 - 0:30are the droids taking our jobs?
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0:30 - 0:32And there's some evidence that they are.
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0:32 - 0:37The Great Recession ended when American GDP resumed
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0:37 - 0:40its kind of slow, steady march upward, and some other
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0:40 - 0:43economic indicators also started to rebound, and they got
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0:43 - 0:46kind of healthy kind of quickly. Corporate profits
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0:46 - 0:49are quite high. In fact, if you include bank profits,
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0:49 - 0:51they're higher than they've ever been.
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0:51 - 0:55And business investment in gear, in equipment
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0:55 - 0:58and hardware and software is at an all-time high.
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0:58 - 1:01So the businesses are getting out their checkbooks.
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1:01 - 1:03What they're not really doing is hiring.
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1:03 - 1:07So this red line is the employment-to-population ratio,
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1:07 - 1:10in other words, the percentage of working age people
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1:10 - 1:12in America who have work.
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1:12 - 1:16And we see that it cratered during the Great Recession,
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1:16 - 1:19and it hasn't started to bounce back at all.
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1:19 - 1:21But the story is not just a recession story.
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1:21 - 1:24The decade that we've just been through had relatively
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1:24 - 1:28anemic job growth all throughout, especially when we
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1:28 - 1:31compare it to other decades, and the 2000s
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1:31 - 1:33are the only time we have on record where there were
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1:33 - 1:36fewer people working at the end of the decade
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1:36 - 1:39than at the beginning. This is not what you want to see.
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1:39 - 1:43When you graph the number of potential employees
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1:43 - 1:46versus the number of jobs in the country, you see the gap
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1:46 - 1:50gets bigger and bigger over time, and then,
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1:50 - 1:52during the Great Recession, it opened up in a huge way.
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1:52 - 1:57I did some quick calculations. I took the last 20 years of GDP growth
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1:57 - 2:00and the last 20 years of labor productivity growth
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2:00 - 2:03and used those in a fairly straightforward way
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2:03 - 2:06to try to project how many jobs the economy was going
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2:06 - 2:09to need to keep growing, and this is the line that I came up with.
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2:09 - 2:13Is that good or bad? This is the government's projection
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2:13 - 2:16for the working age population going forward.
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2:16 - 2:21So if these predictions are accurate, that gap is not going to close.
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2:21 - 2:25The problem is, I don't think these projections are accurate.
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2:25 - 2:28In particular, I think my projection is way too optimistic,
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2:28 - 2:31because when I did it, I was assuming that the future
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2:31 - 2:34was kind of going to look like the past
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2:34 - 2:37with labor productivity growth, and that's actually not what I believe,
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2:37 - 2:41because when I look around, I think that we ain't seen nothing yet
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2:41 - 2:44when it comes to technology's impact on the labor force.
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2:44 - 2:48Just in the past couple years, we've seen digital tools
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2:48 - 2:53display skills and abilities that they never, ever had before,
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2:53 - 2:56and that, kind of, eat deeply into what we human beings
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2:56 - 3:00do for a living. Let me give you a couple examples.
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3:00 - 3:02Throughout all of history, if you wanted something
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3:02 - 3:05translated from one language into another,
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3:05 - 3:06you had to involve a human being.
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3:06 - 3:10Now we have multi-language, instantaneous,
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3:10 - 3:14automatic translation services available for free
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3:14 - 3:17via many of our devices all the way down to smartphones.
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3:17 - 3:20And if any of us have used these, we know that
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3:20 - 3:23they're not perfect, but they're decent.
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3:23 - 3:26Throughout all of history, if you wanted something written,
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3:26 - 3:30a report or an article, you had to involve a person.
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3:30 - 3:32Not anymore. This is an article that appeared
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3:32 - 3:35in Forbes online a while back about Apple's earnings.
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3:35 - 3:38It was written by an algorithm.
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3:38 - 3:41And it's not decent, it's perfect.
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3:41 - 3:44A lot of people look at this and they say, "Okay,
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3:44 - 3:46but those are very specific, narrow tasks,
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3:46 - 3:49and most knowledge workers are actually generalists,
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3:49 - 3:51and what they do is sit on top of a very large body
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3:51 - 3:54of expertise and knowledge and they use that
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3:54 - 3:57to react on the fly to kind of unpredictable demands,
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3:57 - 4:00and that's very, very hard to automate."
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4:00 - 4:02One of the most impressive knowledge workers
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4:02 - 4:04in recent memory is a guy named Ken Jennings.
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4:04 - 4:09He won the quiz show "Jeopardy!" 74 times in a row,
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4:09 - 4:12took home three million dollars.
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4:12 - 4:16That's Ken on the right getting beat three to one by
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4:16 - 4:20Watson, the "Jeopardy!"-playing supercomputer from IBM.
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4:20 - 4:22So when we look at what technology can do
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4:22 - 4:25to general knowledge workers, I start to think
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4:25 - 4:28there might not be something so special about this idea
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4:28 - 4:31of a generalist, particularly when we start doing things
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4:31 - 4:35like hooking Siri up to Watson and having technologies
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4:35 - 4:36that can understand what we're saying
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4:36 - 4:39and repeat speech back to us.
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4:39 - 4:41Now, Siri is far from perfect, and we can make fun
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4:41 - 4:44of her flaws, but we should also keep in mind that
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4:44 - 4:47if technologies like Siri and Watson improve
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4:47 - 4:51along a Moore's Law trajectory, which they will,
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4:51 - 4:53in six years, they're not going to be two times better
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4:53 - 4:58or four times better, they'll be 16 times better than they are right now.
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4:58 - 5:02So I start to think that a lot of knowledge work is going to be affected by this.
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5:02 - 5:05And digital technologies are not just impacting knowledge work.
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5:05 - 5:09They're starting to flex their muscles in the physical world as well.
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5:09 - 5:12I had the chance a little while back to ride in the Google
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5:12 - 5:17autonomous car, which is as cool as it sounds. (Laughter)
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5:17 - 5:20And I will vouch that it handled the stop-and-go traffic
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5:20 - 5:23on U.S. 101 very smoothly.
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5:23 - 5:25There are about three and a half million people
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5:25 - 5:28who drive trucks for a living in the United States.
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5:28 - 5:30I think some of them are going to be affected by this
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5:30 - 5:33technology. And right now, humanoid robots are still
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5:33 - 5:36incredibly primitive. They can't do very much.
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5:36 - 5:39But they're getting better quite quickly, and DARPA,
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5:39 - 5:42which is the investment arm of the Defense Department,
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5:42 - 5:44is trying to accelerate their trajectory.
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5:44 - 5:49So, in short, yeah, the droids are coming for our jobs.
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5:49 - 5:52In the short term, we can stimulate job growth
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5:52 - 5:55by encouraging entrepreneurship and by investing
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5:55 - 5:58in infrastructure, because the robots today still aren't
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5:58 - 6:00very good at fixing bridges.
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6:00 - 6:04But in the not-too-long-term, I think within the lifetimes
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6:04 - 6:07of most of the people in this room, we're going to transition
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6:07 - 6:10into an economy that is very productive but that
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6:10 - 6:13just doesn't need a lot of human workers,
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6:13 - 6:14and managing that transition is going to be
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6:14 - 6:17the greatest challenge that our society faces.
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6:17 - 6:20Voltaire summarized why. He said, "Work saves us
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6:20 - 6:25from three great evils: boredom, vice and need."
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6:25 - 6:28But despite this challenge, I'm personally,
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6:28 - 6:31I'm still a huge digital optimist, and I am
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6:31 - 6:34supremely confident that the digital technologies that we're
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6:34 - 6:38developing now are going to take us into a utopian future,
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6:38 - 6:41not a dystopian future. And to explain why,
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6:41 - 6:43I want to pose kind of a ridiculously broad question.
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6:43 - 6:45I want to ask what have been the most important
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6:45 - 6:48developments in human history?
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6:48 - 6:50Now, I want to share some of the answers that I've gotten
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6:50 - 6:53in response to this question. It's a wonderful question
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6:53 - 6:55to ask and to start an endless debate about,
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6:55 - 6:57because some people are going to bring up
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6:57 - 7:01systems of philosophy in both the West and the East that
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7:01 - 7:04have changed how a lot of people think about the world.
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7:04 - 7:07And then other people will say, "No, actually, the big stories,
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7:07 - 7:09the big developments are the founding of the world's
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7:09 - 7:12major religions, which have changed civilizations
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7:12 - 7:15and have changed and influenced how countless people
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7:15 - 7:18are living their lives." And then some other folk will say,
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7:18 - 7:21"Actually, what changes civilizations, what modifies them
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7:21 - 7:24and what changes people's lives
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7:24 - 7:28are empires, so the great developments in human history
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7:28 - 7:30are stories of conquest and of war."
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7:30 - 7:33And then some cheery soul usually always pipes up
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7:33 - 7:39and says, "Hey, don't forget about plagues." (Laughter)
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7:39 - 7:42There are some optimistic answers to this question,
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7:42 - 7:43so some people will bring up the Age of Exploration
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7:43 - 7:45and the opening up of the world.
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7:45 - 7:48Others will talk about intellectual achievements
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7:48 - 7:50in disciplines like math that have helped us get
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7:50 - 7:53a better handle on the world, and other folk will talk about
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7:53 - 7:55periods when there was a deep flourishing
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7:55 - 7:59of the arts and sciences. So this debate will go on and on.
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7:59 - 8:01It's an endless debate, and there's no conclusive,
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8:01 - 8:05no single answer to it. But if you're a geek like me,
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8:05 - 8:08you say, "Well, what do the data say?"
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8:08 - 8:10And you start to do things like graph things that we might
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8:10 - 8:14be interested in, the total worldwide population, for example,
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8:14 - 8:17or some measure of social development,
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8:17 - 8:20or the state of advancement of a society,
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8:20 - 8:23and you start to plot the data, because, by this approach,
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8:23 - 8:26the big stories, the big developments in human history,
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8:26 - 8:29are the ones that will bend these curves a lot.
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8:29 - 8:31So when you do this, and when you plot the data,
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8:31 - 8:34you pretty quickly come to some weird conclusions.
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8:34 - 8:37You conclude, actually, that none of these things
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8:37 - 8:42have mattered very much. (Laughter)
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8:42 - 8:46They haven't done a darn thing to the curves. (Laughter)
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8:46 - 8:49There has been one story, one development
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8:49 - 8:52in human history that bent the curve, bent it just about
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8:52 - 8:5690 degrees, and it is a technology story.
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8:56 - 8:59The steam engine, and the other associated technologies
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8:59 - 9:02of the Industrial Revolution changed the world
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9:02 - 9:04and influenced human history so much,
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9:04 - 9:06that in the words of the historian Ian Morris,
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9:06 - 9:10they made mockery out of all that had come before.
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9:10 - 9:13And they did this by infinitely multiplying the power
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9:13 - 9:16of our muscles, overcoming the limitations of our muscles.
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9:16 - 9:19Now, what we're in the middle of now
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9:19 - 9:22is overcoming the limitations of our individual brains
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9:22 - 9:25and infinitely multiplying our mental power.
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9:25 - 9:29How can this not be as big a deal as overcoming
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9:29 - 9:31the limitations of our muscles?
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9:31 - 9:34So at the risk of repeating myself a little bit, when I look
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9:34 - 9:37at what's going on with digital technology these days,
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9:37 - 9:40we are not anywhere near through with this journey,
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9:40 - 9:43and when I look at what is happening to our economies
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9:43 - 9:45and our societies, my single conclusion is that
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9:45 - 9:49we ain't seen nothing yet. The best days are really ahead.
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9:49 - 9:51Let me give you a couple examples.
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9:51 - 9:55Economies don't run on energy. They don't run on capital,
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9:55 - 9:59they don't run on labor. Economies run on ideas.
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9:59 - 10:01So the work of innovation, the work of coming up with
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10:01 - 10:04new ideas, is some of the most powerful,
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10:04 - 10:05some of the most fundamental work that we can do
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10:05 - 10:09in an economy. And this is kind of how we used to do innovation.
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10:09 - 10:13We'd find a bunch of fairly similar-looking people
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10:13 - 10:17— (Laughter) —
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10:17 - 10:19we'd take them out of elite institutions, we'd put them into
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10:19 - 10:22other elite institutions, and we'd wait for the innovation.
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10:22 - 10:26Now — (Laughter) —
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10:26 - 10:29as a white guy who spent his whole career at MIT
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10:29 - 10:35and Harvard, I got no problem with this. (Laughter)
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10:35 - 10:38But some other people do, and they've kind of crashed
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10:38 - 10:40the party and loosened up the dress code of innovation.
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10:40 - 10:41(Laughter)
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10:41 - 10:45So here are the winners of a Top Coder programming challenge,
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10:45 - 10:48and I assure you that nobody cares
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10:48 - 10:51where these kids grew up, where they went to school,
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10:51 - 10:54or what they look like. All anyone cares about
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10:54 - 10:57is the quality of the work, the quality of the ideas.
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10:57 - 10:59And over and over again, we see this happening
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10:59 - 11:01in the technology-facilitated world.
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11:01 - 11:04The work of innovation is becoming more open,
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11:04 - 11:07more inclusive, more transparent, and more merit-based,
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11:07 - 11:10and that's going to continue no matter what MIT and Harvard
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11:10 - 11:14think of it, and I couldn't be happier about that development.
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11:14 - 11:16I hear once in a while, "Okay, I'll grant you that,
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11:16 - 11:20but technology is still a tool for the rich world,
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11:20 - 11:23and what's not happening, these digital tools are not
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11:23 - 11:26improving the lives of people at the bottom of the pyramid."
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11:26 - 11:29And I want to say to that very clearly: nonsense.
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11:29 - 11:32The bottom of the pyramid is benefiting hugely from technology.
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11:32 - 11:35The economist Robert Jensen did this wonderful study
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11:35 - 11:38a while back where he watched, in great detail,
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11:38 - 11:41what happened to the fishing villages of Kerala, India,
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11:41 - 11:44when they got mobile phones for the very first time,
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11:44 - 11:47and when you write for the Quarterly Journal of Economics,
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11:47 - 11:50you have to use very dry and very circumspect language,
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11:50 - 11:52but when I read his paper, I kind of feel Jensen is trying
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11:52 - 11:55to scream at us, and say, look, this was a big deal.
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11:55 - 11:59Prices stabilized, so people could plan their economic lives.
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11:59 - 12:04Waste was not reduced; it was eliminated.
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12:04 - 12:06And the lives of both the buyers and the sellers
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12:06 - 12:09in these villages measurably improved.
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12:09 - 12:12Now, what I don't think is that Jensen got extremely lucky
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12:12 - 12:15and happened to land in the one set of villages
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12:15 - 12:17where technology made things better.
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12:17 - 12:20What happened instead is he very carefully documented
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12:20 - 12:22what happens over and over again when technology
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12:22 - 12:26comes for the first time to an environment and a community.
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12:26 - 12:30The lives of people, the welfares of people, improve dramatically.
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12:30 - 12:32So as I look around at all the evidence, and I think about
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12:32 - 12:34the room that we have ahead of us, I become a huge
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12:34 - 12:37digital optimist, and I start to think that this wonderful
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12:37 - 12:40statement from the physicist Freeman Dyson
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12:40 - 12:45is actually not hyperbole. This is an accurate assessment of what's going on.
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12:45 - 12:47Our digital -- our technologies are great gifts,
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12:47 - 12:51and we, right now, have the great good fortune
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12:51 - 12:54to be living at a time when digital technology is flourishing,
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12:54 - 12:56when it is broadening and deepening and
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12:56 - 12:59becoming more profound all around the world.
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12:59 - 13:02So, yeah, the droids are taking our jobs,
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13:02 - 13:06but focusing on that fact misses the point entirely.
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13:06 - 13:09The point is that then we are freed up to do other things,
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13:09 - 13:12and what we are going to do, I am very confident,
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13:12 - 13:15what we're going to do is reduce poverty and drudgery
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13:15 - 13:18and misery around the world. I'm very confident
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13:18 - 13:21we're going to learn to live more lightly on the planet,
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13:21 - 13:24and I am extremely confident that what we're going to do
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13:24 - 13:27with our new digital tools is going to be so profound
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13:27 - 13:30and so beneficial that it's going to make a mockery
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13:30 - 13:32out of everything that came before.
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13:32 - 13:34I'm going to leave the last word to a guy who had
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13:34 - 13:36a front row seat for digital progress,
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13:36 - 13:39our old friend Ken Jennings. I'm with him.
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13:39 - 13:40I'm going to echo his words:
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13:40 - 13:44"I, for one, welcome our new computer overlords." (Laughter)
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13:44 - 13:47Thanks very much. (Applause)
- Title:
- Are droids taking our jobs?
- Speaker:
- Andrew McAfee
- Description:
-
Robots and algorithms are getting good at jobs like building cars, writing articles, translating -- jobs that once required a human. So what will we humans do for work? Andrew McAfee walks through recent labor data to say: We ain't seen nothing yet. But then he steps back to look at big history, and comes up with a surprising and even thrilling view of what comes next. (Filmed at TEDxBoston.)
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDTalks
- Duration:
- 14:07
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Krystian Aparta
The English transcript was updated on 1/4/2016.