The key to growth Race with the machines Erik Brynjolfsson

growth is not dead let’s let’s start the

story a hundred and twenty years ago

when American factories began to

electrify their operations igniting the

Second Industrial Revolution the amazing

thing is the productivity not increase

in those factories for thirty years

thirty years that’s long enough for a

generation of managers to retire you see

the first wave of managers simply

replace their steam engines with

electric motors but they didn’t redesign

the factories to take advantage of an

electricity’s flexibility it fell to the

next generation to invent new work

processes and then productivity soared

often doubling or even tripling in those

factories 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 is

there a general purpose technology of

our era sure it’s the computer but

technology alone is not enough

technology is not destiny we shape our

destiny and just as the earlier

generation of managers needed to

redesign their factories we’re going to

need to reinvent our organizations and

even our whole economic system we’re not

doing as well at that job as we should

be as we’ll see in a moment productivity

is actually doing all right but it has

become decoupled from jobs and the

income of the typical worker is

stagnating these troubles are sometimes

misdiagnosed as the end of innovation

but they are actually the growing pains

of what Andrew McAfee and I call the new

machine age let’s look at some data

so here’s GDP per person in America

there’s some bumps along the way but the

big story

is you could practically fit a ruler to

it this is a log scale

so it looks like steady growth is

actually an acceleration in real terms

and here’s productivity you can see a

little bit of a slowdown there in the

mid 70s but it matches up pretty well

with the Second Industrial Revolution

when factories were learning how to

electrify their operations after a lag

productivity accelerated again so maybe

history doesn’t repeat itself but

sometimes it rhymes

today productivity is at an all-time

high

and despite the Great Recession it grew

faster in the 2000s than it did in the

1990s the roaring 1990s and that was

faster than that 70s or 80s is growing

faster than it did during the Second

Industrial Revolution and that’s just

the United States the global news is

even better worldwide incomes have grown

at a faster rate in the past decade than

ever in history if anything all these

numbers actually understate our progress

because the new machine age is more

about knowledge creation than just

physical production it’s mind not matter

brain not brawn ideas not things that

creates a problem for standard metrics

because we’re getting more and more

stuff for free like Wikipedia Google

Skype and if they post on the web even

this TED talk now getting stuff for free

is a good thing right

sure of course it is but that’s not how

economists measure GDP zero price means

zero weight in the GDP statistics

according to the numbers the music

industry is half the size that it was

ten years ago but I’m listening to more

and better music than ever you know I

bet you are too in total my research

estimates that the GDP numbers Mis over

300 billion dollars per year

in free goods and services on the

internet now let’s look to the future

there are some super smart people who

are arguing that we’ve reached the end

of growth but to understand the future

of growth we need to make predictions

about the underlying drivers

growth I’m optimistic because the new

machine age is digital exponential and

combinatorial when goods are digital

they can be replicated with perfect

quality at nearly zero cost and they

could be delivered almost

instantaneously

welcome to the economics of abundance

but there’s a subtler benefit to the

digitization of the world measurement is

the lifeblood of science and progress in

the age of big data we can measure the

world in ways we never could before

secondly the new machine age is

exponential 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

that’s right here’s Andy and me grinning

like Mad Men because we just rode down

route 101 in yes a driverless car

thirdly the new machine age is

combinatorial the stagnation missed you

is that ideas get used up like

low-hanging fruit but the reality is

that each innovation creates building

blocks for even more innovations here’s

an example in just a matter of a few

weeks an undergraduate student of mine

built an app that it ultimately reached

1.3 million users he was able to do that

so easily because he built it on top of

Facebook and Facebook was built on top

of the web and that was built on top of

the Internet and so on and so forth

now individually digital exponential and

combinatorial would each be game

changers put them together and we’re

seeing a wave of astonishing

breakthroughs like robots that do

factory work or run as fast as a cheetah

or leap tall buildings in a single bound

you know robots are even revolutionising

cat transportation

but perhaps the most important invention

the most important invention is machine

learning

consider one project ibm’s watson these

little dots here those are all the

champions on the quiz show Jeopardy

at first Watson wasn’t very good but it

improved at a rate faster than any human

could and shortly after Dave Ferrucci

showed this chart to my class at MIT

Watson beat the world jeopardy champion

at age 7

Watson is still kind of in its childhood

recently its teachers let it surf the

internet unsupervised the next day it

started answering questions with

profanities damage but you know Watson

is growing up fast it’s being tested for

jobs in call centers and it’s getting

them it’s applying for legal banking and

medical jobs and getting some of them

isn’t ironic that at the very moment we

are building intelligent machines

perhaps the most important invention in

human history some people arguing that

innovation is stagnating like the first

two industrial revolutions the full

implications of the new machine age are

going to take at least a century to

fully play out but they are staggering

so does that mean we have nothing to

worry about

no technology is not destiny

productivity is at an all-time high

but fewer people now have jobs we have

created more wealth in the past decade

than ever but for a majority of

Americans their income has fallen this

is the great decoupling of productivity

from employment of wealth from work you

know it’s not surprising that millions

of people have become disillusioned by

the great decoupling but like too many

others they misunderstand its basic

causes technology is racing ahead but

it’s leaving more and more people behind

today we can take a routine

job codified in a set of machine

readable instructions and then

replicated a million times you know I

recently overheard a conversation that

epitomizes these new economics this

guy’s says nah I don’t use H&R block

anymore

TurboTax does everything that my tax

preparer did but it’s faster cheaper and

more accurate

how can a skilled worker compete with a

thirty nine dollar piece of software she

can’t today millions of Americans do

have faster cheaper more accurate tax

preparation and the founders of Intuit

have done very well for themselves but

seventeen percent of tax preparers no

longer have jobs that is a microcosm of

what’s happening not just in software

and services but in media and music in

finance and manufacturing in retailing

and trade in short in every industry

people are racing against the Machine

and many of them are losing that race

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 that is our Grand

Challenge the new machine age can be

dated to a day 15 years ago when Garry

Kasparov the World Chess Champion played

deep blue a supercomputer the machine

won that day and today a chess program

running on a cell phone can beat a human

Grandmaster it got so bad that when he

was asked what strategy he would use

against a computer yond honor the Dutch

Grandmaster replied I’d bring a hammer

but today a computer is no longer the

world chess champion neither is a human

because Kasparov organized a freestyle

tournament where teams of humans and

computers could work together and the

winning team had no grandmaster and it

had no supercomputer what they had was

better teamwork and they showed that a

team of humans and computers working

together could beat any computer or any

human working alone racing with the

machine

beats racing against the machine

technology is not destiny we shape our

destiny thank you

增长并没有死 让我们从

一百二十年前

的故事开始

的经理退休 你

看到第一波经理只是简单地

用电动机替换他们的蒸汽机,

但他们没有重新设计

工厂以利用

电力的灵活性,而是由

下一代发明新的工作

流程,然后生产力

经常飙升 在这些

工厂中,电力增加一倍甚至三倍是通用技术的一个例子,例如

蒸汽机之前通用

技术推动了大部分经济增长,

因为它们释放了灯泡

等互补创新的级联,

是的,工厂重新设计是否

存在通用技术

我们的时代肯定是电脑 但

仅靠技术是不够的

技术不是命运 我们塑造了自己的

命运 就像前

一代经理需要

重新设计他们的工厂一样,我们

需要重新改造我们的组织

甚至整个经济体系,我们

做得不好 在那份工作中我们

应该做的,正如我们稍后会看到的那样,

生产力实际上做得很好,但它

已经与工作脱钩,

典型工人的收入

停滞不前。这些麻烦有时

被误认为是创新的终结,

但它们是 实际上

,我和 Andrew McAfee 称之为新

机器时代的成长阵痛让我们看一些

数据,这里是美国的人均 GDP,在此过程中

有一些颠簸,但最

重要的

是你实际上可以用尺子来适应

它,这是一个日志 规模,

所以看起来稳定增长

实际上是实际的加速

,这里的生产力你可以看到

在 70 年代中期有一点放缓,

但它相当匹配

与第二次工业革命相得益彰,

当时工厂正在学习如何

在落后的生产力再次加速后使其运营电气化

,所以

历史可能不会重演,但

有时它押韵

今天的生产力处于历史

最高水平

,尽管经历了大萧条,但它的增长

速度更快 在 2000 年代比在

1990 年代咆哮的 1990 年代

比 70 年代或 80 年代的增长

速度比第二次工业革命期间的增长速度更快

,这

只是美国 全球新闻

甚至更好 全球收入增长

速度 过去十年中的速度

比历史上任何时候都快,如果有的话,所有这些

数字实际上都低估了我们的进步,

因为新机器时代更多的是

关于知识创造,而不仅仅是

物理生产,头脑无关紧要

大脑而不是强壮的想法,而不是

对标准指标造成问题的事情

因为我们正在免费获得越来越多的

东西,比如 Wikipedia Google

Skype,如果他们在 网络即使是

这个 TED 演讲现在免费获得东西

也是一件好事

,当然它是,但这不是

经济学家衡量 GDP 的方式,根据音乐行业的数字,零价格意味着

GDP 统计数据中的权重为零

,其规模是原来的一半

十年前,但我听的

音乐比以往任何时候都多,

我打赌你也是

未来

有一些超级聪明的

人认为我们已经达到了增长的终点

,但要了解增长的未来

,我们需要对潜在的增长驱动因素做出预测

我很乐观,因为新

机器时代是数字指数和

当商品是数字化的组合时,

它们可以

以几乎为零的成本以完美的质量被复制,并且它们

几乎可以立即交付,

受到丰富经济的欢迎,

但是 世界数字化的一个更微妙的好处

测量

是科学的命脉和

大数据时代的进步

我们可以以前所未有的方式测量世界

其次 新机器时代是

指数 计算机变得

比以往任何时候都更快 今天一个孩子的

PlayStation

比 1996 年的军用超级计算机更强大,但

我们的大脑已经连接到一个线性世界

,结果指数趋势让我们

感到惊讶

就像开车

穿过

这里的交通一样,安迪和我像疯子一样咧嘴笑,

因为我们刚刚

沿着 101 号公路行驶,是的,一辆无人驾驶汽车,

第三,新机器时代是

组合的,你错过了停滞不前

是想法像低调一样被

耗尽 果,但现实情况是

,每一项

创新都为更多创新创造了基石,这里有

一个例子,在短短

几周内 我的研究生

创建了一个应用程序,最终达到了

130 万用户,他能够

如此轻松地做到这一点,因为他在 Facebook 之上构建了它,

而 Facebook

是在网络之上构建的,而它是

在互联网之上构建的,所以 等等

现在单独的数字指数和

组合将改变游戏

规则,将它们放在一起,我们

看到一波惊人的

突破,比如机器人在

工厂工作或像猎豹一样快跑,

或者在一个单一的范围内跳跃

高楼 知道机器人甚至正在彻底改变

猫的运输方式,

但也许最重要的

发明 最重要的发明是机器

学习

考虑一个项目 ibm 的 watson

在这里这些小点 这些都是

智力竞赛节目 Jeopardy

的冠军 起初 Watson 不是很好,但它

有所改进 以比任何人都快的速度

,在戴夫·费鲁奇

向我在麻省理工学院的班级展示这张图表后不久,

沃森击败了世界危险冠军 n

在 7 岁时,

Watson 最近还处于童年时期,

它的老师让它在

无人监督的情况下上网第二天它

开始回答带有

亵渎性损害的问题,但你知道 Watson

正在快速成长,它正在接受

呼叫中心工作的测试,它正在

他们正在申请合法的银行和

医疗工作并获得其中一些

并不具有讽刺意味的是,在我们正在建造智能机器的那一刻,这

也许是人类历史上最重要的发明

有些人认为

创新就像前

两次工业革命一样停滞不前

新机器时代的全部影响

将至少需要一个世纪才能

完全发挥出来,但它们是惊人的

,这是否意味着我们没有什么可

担心的

在过去十年中,我们创造了比以往更多的财富,

但对于大多数

美国人来说,他们的收入

下降了 生产力

与财富就业与工作的巨大脱钩 你

知道,

数百万人

对巨大的脱钩感到失望并不奇怪,但像许多

其他人一样,他们误解了其根本

原因技术正在飞速发展,但

它让越来越多的人落后于

今天我们 可以将日常

工作编入一组机器

可读的指令中,然后

复制一百万次,你知道我

最近无意中听到一个

概括这些新经济学的对话,这个

人说,不,我不再使用 H&R 块

TurboTax 做了我的税务准备者所做的一切

但它更快更便宜

更准确

一个熟练工人如何与她今天无法竞争的

39 美元软件竞争

数百万美国人确实

拥有更快更便宜更准确的税务

准备,Intuit 的创始人

为自己做得很好但是

17% 的报税员

不再有工作,这是正在发生的

事情的缩影 ng 不仅在软件

和服务领域,在媒体和音乐领域,在

金融和制造领域,在零售

和贸易领域,简而言之,每个行业的

人们都在与机器赛跑

,其中许多人正在输掉这场比赛

我们能做些什么来创造共同

繁荣 答案是 不要试图

放慢技术速度而不是

与机器赛跑我们需要学习

与机器赛跑这是我们的重大

挑战新的机器时代可以

追溯到 15 年前的一天,当时

世界国际象棋冠军加里·卡斯帕罗夫(Garry Kasparov)玩

深蓝 那天机器赢了一台超级计算机

,今天

在手机上运行的国际象棋程序可以击败人类

大师,它变得如此糟糕,以至于当

他被问到他会用什么策略

对抗一台超越荣誉的计算机时,荷兰

大师回答说我会带一个 锤子,

但今天计算机不再是

世界象棋冠军,人类也不再是

因为卡斯帕罗夫组织了一场自由式

锦标赛,人类和

计算机的团队可以一起工作 她和

获胜的团队没有大师,也

没有超级计算机,他们所拥有的是

更好的团队合作,他们表明,

人类和计算机一起工作的

团队可以击败任何计算机或任何

单独工作的人与

机器

赛跑胜过与机器

技术赛跑 不是命运,我们塑造了我们的

命运,谢谢