Are droids taking our jobs?
-
0:00 - 0:04As it turns out, when tens of millions
of people are unemployed -
0:04 - 0:06or underemployed,
-
0:06 - 0:09there's a fair amount of interest
in what technology might be doing -
0:09 - 0:10to the labor force.
-
0:10 - 0:12And as I look at the conversation,
-
0:12 - 0:16it strikes me that it's focused
on exactly the right topic, -
0:16 - 0:18and at the same time,
it's missing the point entirely. -
0:18 - 0:20The topic that it's focused on,
-
0:20 - 0:24the question is whether or not all these
digital technologies are affecting -
0:24 - 0:26people's ability to earn a living,
-
0:27 - 0:28or, to say it a little bit different way,
-
0:29 - 0:31are the droids taking our jobs?
-
0:31 - 0:33And there's some evidence that they are.
-
0:33 - 0:37The Great Recession ended
when American GDP resumed -
0:37 - 0:40its kind of slow, steady march upward,
-
0:40 - 0:43and some other economic indicators
also started to rebound, -
0:43 - 0:45and they got kind of healthy
kind of quickly. -
0:45 - 0:47Corporate profits are quite high;
-
0:47 - 0:49in fact, if you include bank profits,
-
0:49 - 0:51they're higher than they've ever been.
-
0:51 - 0:55And business investment
in gear -- in equipment -
0:55 - 0:58and hardware and software --
is at an all-time high. -
0:58 - 1:01So the businesses are getting
out their checkbooks. -
1:01 - 1:03What they're not really doing is hiring.
-
1:03 - 1:05So this red line
-
1:05 - 1:07is the employment-to-population ratio,
-
1:07 - 1:11in other words, the percentage
of working-age people in America -
1:11 - 1:13who have work.
-
1:13 - 1:16And we see that it cratered
during the Great Recession, -
1:16 - 1:19and it hasn't started
to bounce back at all. -
1:19 - 1:22But the story is not
just a recession story. -
1:22 - 1:24The decade that we've
just been through had -
1:24 - 1:27relatively anemic job growth
all throughout, -
1:27 - 1:30especially when we compare it
to other decades, -
1:30 - 1:33and the 2000s are the only time
we have on record -
1:33 - 1:36where there were fewer people working
at the end of the decade -
1:36 - 1:38than at the beginning.
-
1:38 - 1:39This is not what you want to see.
-
1:40 - 1:43When you graph the number
of potential employees -
1:43 - 1:46versus the number of jobs in the country,
-
1:46 - 1:50you see the gap gets bigger
and bigger over time, -
1:50 - 1:53and then, during the Great Recession,
it opened up in a huge way. -
1:53 - 1:54I did some quick calculations.
-
1:54 - 1:57I took the last 20 years of GDP growth
-
1:57 - 2:00and the last 20 years
of labor-productivity growth -
2:00 - 2:03and used those in a fairly
straightforward way -
2:03 - 2:06to try to project how many jobs
the economy was going to need -
2:06 - 2:07to keep growing,
-
2:07 - 2:09and this is the line that I came up with.
-
2:09 - 2:11Is that good or bad?
-
2:11 - 2:13This is the government's projection
-
2:13 - 2:16for the working-age
population going forward. -
2:16 - 2:22So if these predictions are accurate,
that gap is not going to close. -
2:22 - 2:25The problem is, I don't think
these projections are accurate. -
2:25 - 2:28In particular, I think my projection
is way too optimistic, -
2:28 - 2:30because when I did it,
-
2:30 - 2:34I was assuming that the future
was kind of going to look like the past, -
2:34 - 2:36with labor productivity growth,
-
2:36 - 2:37and that's actually not what I believe.
-
2:37 - 2:39Because when I look around,
-
2:39 - 2:41I think that we ain't seen nothing yet
-
2:41 - 2:44when it comes to technology's
impact on the labor force. -
2:45 - 2:49Just in the past couple years,
we've seen digital tools -
2:49 - 2:53display skills and abilities
that they never, ever had before, -
2:53 - 2:56and that kind of eat deeply
into what we human beings -
2:56 - 2:58do for a living.
-
2:58 - 3:00Let me give you a couple examples.
-
3:00 - 3:01Throughout all of history,
-
3:01 - 3:05if you wanted something translated
from one language into another, -
3:05 - 3:06you had to involve a human being.
-
3:07 - 3:10Now we have multi-language, instantaneous,
-
3:10 - 3:14automatic translation services
available for free -
3:14 - 3:17via many of our devices,
all the way down to smartphones. -
3:17 - 3:19And if any of us have used these,
-
3:19 - 3:23we know that they're not perfect,
but they're decent. -
3:23 - 3:26Throughout all of history,
if you wanted something written, -
3:26 - 3:30a report or an article,
you had to involve a person. -
3:30 - 3:31Not anymore.
-
3:31 - 3:34This is an article that appeared
in Forbes online a while back, -
3:34 - 3:36about Apple's earnings.
-
3:36 - 3:37It was written by an algorithm.
-
3:38 - 3:41And it's not decent -- it's perfect.
-
3:42 - 3:44A lot of people look at this and they say,
-
3:44 - 3:46"OK, but those are very
specific, narrow tasks, -
3:46 - 3:49and most knowledge workers
are actually generalists. -
3:49 - 3:53And what they do is sit on top of a very
large body of expertise and knowledge -
3:53 - 3:57and they use that to react on the fly
to kind of unpredictable demands, -
3:57 - 3:59and that's very, very hard to automate."
-
4:00 - 4:03One of the most impressive
knowledge workers in recent memory -
4:03 - 4:04is a guy named Ken Jennings.
-
4:04 - 4:09He won the quiz show
"Jeopardy!" 74 times in a row. -
4:10 - 4:12Took home three million dollars.
-
4:12 - 4:16That's Ken on the right,
getting beat three-to-one -
4:16 - 4:20by Watson, the Jeopardy-playing
supercomputer from IBM. -
4:21 - 4:24So when we look at what technology can do
to general knowledge workers, -
4:24 - 4:27I start to think there might not be
something so special -
4:27 - 4:29about this idea of a generalist,
-
4:29 - 4:33particularly when we start doing things
like hooking Siri up to Watson, -
4:33 - 4:37and having technologies
that can understand what we're saying -
4:37 - 4:39and repeat speech back to us.
-
4:39 - 4:43Now, Siri is far from perfect,
and we can make fun of her flaws, -
4:43 - 4:44but we should also keep in mind
-
4:44 - 4:50that if technologies like Siri and Watson
improve along a Moore's law trajectory, -
4:50 - 4:51which they will,
-
4:51 - 4:55in six years, they're not going to be two
times better or four times better, -
4:55 - 4:58they'll be 16 times better
than they are right now. -
4:58 - 5:02So I start to think a lot of knowledge
work is going to be affected by this. -
5:02 - 5:06And digital technologies are not
just impacting knowledge work, -
5:06 - 5:10they're starting to flex their muscles
in the physical world as well. -
5:10 - 5:13I had the chance a little while back
to ride in the Google autonomous car, -
5:13 - 5:16which is as cool as it sounds.
-
5:16 - 5:18(Laughter)
-
5:18 - 5:22And I will vouch that it handled
the stop-and-go traffic on US 101 -
5:22 - 5:24very smoothly.
-
5:24 - 5:27There are about three and a half million
people who drive trucks for a living -
5:27 - 5:28in the United States;
-
5:28 - 5:32I think some of them are going
to be affected by this technology. -
5:32 - 5:35And right now, humanoid robots
are still incredibly primitive. -
5:35 - 5:37They can't do very much.
-
5:37 - 5:39But they're getting better quite quickly
-
5:39 - 5:42and DARPA, which is the investment arm
of the Defense Department, -
5:42 - 5:44is trying to accelerate their trajectory.
-
5:44 - 5:49So, in short, yeah, the droids
are coming for our jobs. -
5:50 - 5:53In the short term, we can
stimulate job growth -
5:53 - 5:55by encouraging entrepreneurship
-
5:55 - 5:57and by investing in infrastructure,
-
5:57 - 6:00because the robots today
still aren't very good at fixing bridges. -
6:00 - 6:02But in the not-too-long-term,
-
6:02 - 6:06I think within the lifetimes
of most of the people in this room, -
6:06 - 6:10we're going to transition into an economy
that is very productive, -
6:10 - 6:13but that just doesn't need
a lot of human workers. -
6:13 - 6:16And managing that transition
is going to be the greatest challenge -
6:16 - 6:17that our society faces.
-
6:17 - 6:19Voltaire summarized why; he said,
-
6:19 - 6:25"Work saves us from three great evils:
boredom, vice and need." -
6:25 - 6:27But despite this challenge --
-
6:27 - 6:30personally, I'm still
a huge digital optimist, -
6:30 - 6:32and I am supremely confident
-
6:32 - 6:35that the digital technologies
that we're developing now -
6:35 - 6:38are going to take us
into a Utopian future, -
6:38 - 6:39not a dystopian future.
-
6:39 - 6:41And to explain why,
-
6:41 - 6:43I want to pose a ridiculously
broad question. -
6:43 - 6:44I want to ask:
-
6:44 - 6:48what have been the most important
developments in human history? -
6:48 - 6:51Now, I want to share some
of the answers that I've gotten -
6:51 - 6:52in response to this question.
-
6:52 - 6:55It's a wonderful question to ask
and start an endless debate about, -
6:55 - 6:57because some people are going to bring up
-
6:57 - 7:01systems of philosophy
in both the West and the East -
7:01 - 7:04that have changed how a lot
of people think about the world. -
7:04 - 7:05And then other people will say,
-
7:05 - 7:08"No, actually, the big stories,
the big developments -
7:08 - 7:11are the founding
of the world's major religions, -
7:11 - 7:14which have changed civilizations
and have changed and influenced -
7:14 - 7:16how countless people
are living their lives." -
7:16 - 7:18And then some other folk will say,
-
7:18 - 7:21"Actually, what changes civilizations,
-
7:21 - 7:25what modifies them and what changes
people's lives are empires, -
7:25 - 7:28so the great developments in human history
-
7:28 - 7:31are stories of conquest and of war."
-
7:31 - 7:33And then some cheery soul
usually always pipes up and says, -
7:33 - 7:35"Hey, don't forget about plagues!"
-
7:35 - 7:39(Laughter)
-
7:39 - 7:42There are some optimistic
answers to this question, -
7:42 - 7:44so some people will bring up
the Age of Exploration -
7:44 - 7:46and the opening up of the world.
-
7:46 - 7:49Others will talk about intellectual
achievements in disciplines like math -
7:49 - 7:52that have helped us get
a better handle on the world, -
7:52 - 7:55and other folk will talk about periods
when there was a deep flourishing -
7:55 - 7:57of the arts and sciences.
-
7:57 - 7:59So this debate will go on and on.
-
7:59 - 8:00It's an endless debate
-
8:00 - 8:03and there's no conclusive,
single answer to it. -
8:03 - 8:05But if you're a geek like me,
-
8:05 - 8:08you say, "Well, what do the data say?"
-
8:08 - 8:09And you start to do things
-
8:09 - 8:12like graph things
that we might be interested in -- -
8:12 - 8:15the total worldwide
population, for example, -
8:15 - 8:17or some measure of social development
-
8:17 - 8:20or the state of advancement of a society.
-
8:20 - 8:24And you start to plot the data,
because, by this approach, -
8:24 - 8:26the big stories, the big
developments in human history, -
8:26 - 8:29are the ones that will bend
these curves a lot. -
8:29 - 8:31So when you do this
and when you plot the data, -
8:31 - 8:34you pretty quickly come
to some weird conclusions. -
8:34 - 8:35You conclude, actually,
-
8:35 - 8:38that none of these things
have mattered very much. -
8:38 - 8:42(Laughter)
-
8:42 - 8:45They haven't done
a darn thing to the curves. -
8:45 - 8:50There has been one story,
one development in human history -
8:50 - 8:53that bent the curve,
bent it just about 90 degrees, -
8:53 - 8:55and it is a technology story.
-
8:56 - 8:59The steam engine and the other
associated technologies -
8:59 - 9:01of the Industrial Revolution
-
9:01 - 9:04changed the world and influenced
human history so much, -
9:04 - 9:07that in the words
of the historian Ian Morris, -
9:07 - 9:10"... they made mockery out of all
that had come before." -
9:10 - 9:14And they did this by infinitely
multiplying the power of our muscles, -
9:14 - 9:16overcoming the limitations of our muscles.
-
9:16 - 9:19Now, what we're in the middle of now
-
9:19 - 9:22is overcoming the limitations
of our individual brains -
9:22 - 9:25and infinitely multiplying
our mental power. -
9:25 - 9:28How can this not be as big a deal
-
9:28 - 9:31as overcoming the limitations
of our muscles? -
9:31 - 9:34So at the risk of repeating
myself a little bit, -
9:34 - 9:37when I look at what's going on
with digital technology these days, -
9:37 - 9:41we are not anywhere near
through with this journey. -
9:41 - 9:44And when I look at what is happening
to our economies and our societies, -
9:44 - 9:47my single conclusion is that
we ain't seen nothing yet. -
9:47 - 9:49The best days are really ahead.
-
9:49 - 9:51Let me give you a couple examples.
-
9:51 - 9:53Economies don't run on energy.
-
9:53 - 9:56They don't run on capital,
they don't run on labor. -
9:56 - 9:59Economies run on ideas.
-
9:59 - 10:02So the work of innovation,
the work of coming up with new ideas, -
10:02 - 10:06is some of the most powerful, most
fundamental work that we can do -
10:06 - 10:07in an economy.
-
10:07 - 10:10And this is kind of how
we used to do innovation. -
10:10 - 10:13We'd find a bunch of fairly
similar-looking people ... -
10:13 - 10:17(Laughter)
-
10:17 - 10:19We'd take them out of elite institutions,
-
10:19 - 10:21we'd put them into other
elite institutions -
10:21 - 10:22and we'd wait for the innovation.
-
10:23 - 10:24Now --
-
10:24 - 10:26(Laughter)
-
10:26 - 10:30as a white guy who spent
his whole career at MIT and Harvard, -
10:30 - 10:32I've got no problem with this.
-
10:32 - 10:34(Laughter)
-
10:35 - 10:37But some other people do,
-
10:37 - 10:38and they've kind of crashed the party
-
10:38 - 10:41and loosened up
the dress code of innovation. -
10:41 - 10:42(Laughter)
-
10:42 - 10:45So here are the winners of a Topcoder
programming challenge, -
10:45 - 10:48and I assure you that nobody cares
-
10:48 - 10:51where these kids grew up,
where they went to school, -
10:51 - 10:53or what they look like.
-
10:53 - 10:57All anyone cares about is the quality
of the work, the quality of the ideas. -
10:57 - 10:59And over and over again,
we see this happening -
10:59 - 11:02in the technology-facilitated world.
-
11:02 - 11:04The work of innovation
is becoming more open, -
11:04 - 11:08more inclusive, more transparent
and more merit-based, -
11:08 - 11:11and that's going to continue no matter
what MIT and Harvard think of it, -
11:11 - 11:14and I couldn't be happier
about that development. -
11:14 - 11:17I hear once in a while,
"OK, I'll grant you that, -
11:17 - 11:20but technology is still a tool
for the rich world, -
11:20 - 11:21and what's not happening,
-
11:21 - 11:24these digital tools are not
improving the lives -
11:24 - 11:26of people at the bottom of the pyramid."
-
11:26 - 11:29And I want to say to that
very clearly: nonsense. -
11:29 - 11:32The bottom of the pyramid is benefiting
hugely from technology. -
11:32 - 11:36The economist Robert Jensen
did this wonderful study a while back -
11:36 - 11:38where he watched, in great detail,
-
11:38 - 11:41what happened to the fishing
villages of Kerala, India, -
11:41 - 11:44when they got mobile phones
for the very first time. -
11:44 - 11:47And when you write for the Quarterly
Journal of Economics, -
11:47 - 11:50you have to use very dry
and very circumspect language. -
11:50 - 11:51But when I read his paper,
-
11:51 - 11:54I kind of feel Jensen
is trying to scream at us -
11:54 - 11:56and say, "Look, this was a big deal.
-
11:56 - 12:00Prices stabilized, so people
could plan their economic lives. -
12:00 - 12:03Waste was not reduced --
it was eliminated. -
12:04 - 12:06And the lives of both
the buyers and the sellers -
12:06 - 12:08in these villages measurably improved."
-
12:09 - 12:13Now, what I don't think
is that Jensen got extremely lucky -
12:13 - 12:15and happened to land
in the one set of villages -
12:15 - 12:17where technology made things better.
-
12:17 - 12:20What happened instead
is he very carefully documented -
12:20 - 12:24what happens over and over again
when technology comes for the first time -
12:24 - 12:26to an environment and a community:
-
12:26 - 12:30the lives of people, the welfares
of people, improve dramatically. -
12:30 - 12:32So as I look around at all the evidence
-
12:32 - 12:34and I think about the room
that we have ahead of us, -
12:34 - 12:36I become a huge digital optimist
-
12:36 - 12:41and I start to think that this wonderful
statement from the physicist Freeman Dyson -
12:41 - 12:42is actually not hyperbole.
-
12:42 - 12:45This is an accurate assessment
of what's going on. -
12:45 - 12:48Our technologies are great gifts,
-
12:48 - 12:51and we, right now,
have the great good fortune -
12:51 - 12:54to be living at a time when
digital technology is flourishing, -
12:54 - 12:58when it is broadening and deepening
and becoming more profound -
12:58 - 12:59all around the world.
-
12:59 - 13:02So, yeah, the droids are taking our jobs,
-
13:02 - 13:06but focusing on that fact
misses the point entirely. -
13:06 - 13:10The point is that then we
are freed up to do other things, -
13:10 - 13:12and what we're going to do,
I am very confident, -
13:12 - 13:14what we're going to do is reduce poverty
-
13:14 - 13:17and drudgery and misery around the world.
-
13:17 - 13:21I'm very confident we're going to learn
to live more lightly on the planet, -
13:21 - 13:24and I am extremely confident
that what we're going to do -
13:24 - 13:26with our new digital tools
-
13:26 - 13:29is going to be so profound
and so beneficial -
13:29 - 13:32that it's going to make a mockery
out of everything that came before. -
13:32 - 13:34I'm going to leave the last word
-
13:34 - 13:37to a guy who had a front-row seat
for digital progress, -
13:37 - 13:38our old friend Ken Jennings.
-
13:38 - 13:40I'm with him; I'm going to echo his words:
-
13:40 - 13:43"I, for one, welcome our new
computer overlords." -
13:43 - 13:44(Laughter)
-
13:45 - 13:46Thanks very much.
-
13:46 - 13:47(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.