Are droids taking our jobs Andrew McAfee

as it turns out when tens of millions of

people are unemployed or underemployed

there’s a fair amount of interest in

what technology might be doing to the

labor force and as I look at the

conversation it strikes me that it’s

focused on exactly the right topic and

at the same time it’s missing the point

entirely the topic that it’s focused on

the question is whether or not all these

digital technologies are affecting

people’s ability to earn a living or to

say it a little bit different way are

the droids taking our jobs and there’s

some evidence that they are the Great

Recession ended when American GDP

resumed it’s kind of slow steady march

upward and some other economic

indicators also started to rebound and

they got kind of healthy kind of quickly

corporate profits are quite high in fact

if you include bank profits they’re

higher than they’ve ever been and

business investment in gear in equipment

and hardware and software is at an

all-time high so the businesses are

getting out their checkbooks what

they’re not really doing is hiring so

this red line is the

employment-to-population ratio in other

words the percentage of working-age

people in America who have work and we

see that it cratered during the Great

Recession and it hasn’t started to

bounce back at all but the story is not

just a recession story the decade that

we’ve just been through had relatively

anemic job growth all throughout

especially when we compare it to other

decades and the to thousands of the only

time we have on record where there were

fewer people working at the end of the

decade than at the beginning this is not

what you want to see when you graph the

number of potential employees versus the

number of jobs in the country you see

the gap gets bigger and bigger over time

and then during the Great Recession it

opened up in a huge way I did some quick

calculations I took the last 20 years of

GDP growth and the last 20 years of

labor productivity growth and used those

in a fairly straightforward way to try

to project how many jobs the economy was

going to need to keep growing and this

is the line that I came up with is that

good or bad this is the government’s

affection for what for the working age

population going forward so if these

predictions are accurate that gap is not

going to close the problem is I don’t

think these projections are accurate in

particular I think my projection is way

too optimistic because when I did it I

was assuming that the future was kind of

going to look like the past with labour

productivity growth and that’s actually

not what I believe because when I look

around I think that we ain’t seen

nothing yet when it comes to

technology’s impact on the labour force

just in the past couple years we’ve seen

digital tools display skills and

abilities that they never ever had

before and that kind of eat deeply into

what we human beings do for a living let

me give you a couple examples throughout

all of history if you wanted something

translated from one language into

another

you had to involve a human being now we

have multi-language instantaneous

automatic translation services available

for free via many of our devices all the

way down to smartphones and if any of us

have used these we know that they’re not

perfect but they’re decent throughout

all of history if you wanted something

written a report or an article you had

to involve a person not anymore this is

an article that appeared in Forbes

online a while back about Apple’s

earnings it was written by an algorithm

and it’s not decent it’s perfect a lot

of people look at this and they say ok

but those are very specific narrow tasks

and most knowledge workers are actually

generalists and what they do is sit on

top of a very large body of expertise

and knowledge and they use that to react

on-the-fly to kind of unpredictable

demands and that’s very very hard to

automate one of the most impressive

knowledge workers in recent memory is a

guy named Ken Jennings he won the quiz

show Jeopardy seventy four times in a

row took home three million dollars

that’s Ken on the right getting beat

three-to-one by Watson the jeopardy

playing supercomputer from IBM so when

we look at what technology can do to

general knowledge workers I start to

think there might not be

something so special about this idea of

a generalist particularly when we start

doing things like hooking Siri up to

Watson and having technologies that can

understand what we’re saying and repeat

speech back to us now Siri is far from

perfect and we can make fun of her flaws

but we should also keep in mind that if

technologies like Siri and Watson

approve along a Moore’s Law trajectory

which they will in six years they’re not

going to be two times better or four

times better

there’ll be sixteen times better than

they are right now so I start to think

that a lot of knowledge work is going to

be affected by this and digital

technologies are not just impacting

knowledge work they’re starting to flex

their muscles in the physical world as

well I had the chance a little while

back to ride in the Google autonomous

car which is as cool as it sounds and I

will vouch that it handled the

stop-and-go traffic on US 101 very

smoothly there are about three and a

half million people who drive trucks for

a living in the United States I think

some of them are going to be affected by

this technology and right now humanoid

robots are still incredibly primitive

they can’t do very much but they’re

getting better quite quickly and DARPA

which is the investment arm of the

Defense Department is trying to

accelerate their trajectory so in short

yeah the the droids are coming for our

jobs in the short term we can stimulate

job growth by encouraging

entrepreneurship and by investing in

infrastructure because the robots today

still aren’t very good at fixing bridges

but in the not-too long term I think

within the lifetimes of most of the

people in this room we’re going to

transition into an economy that is very

productive but that just doesn’t need a

lot of human workers and managing that

transition is going to be the greatest

challenge that our society faces

Voltaire summarized why he said work

saves us from three great evils boredom

vice and need but despite this challenge

I I’m personally I’m still a huge

digital optimist and I am supremely

confident that the digital technologies

that we’re developing now are going to

take us into a utopian future not a

dystopian

future and to explain why I want to post

kind of a ridiculously broad question I

want to ask what have been the most

important developments in human history

now I want to share my some of the

answers that I’ve got in response to

this question it’s a wonderful question

to ask and to start an endless debate

about because some people are gonna

bring up systems and philosophy in both

the west and the East that have changed

how a lot of people think about the

world and then other people will say no

Ashley the big stories the big

developments are the founding of the

world’s major religions which have

changed civilizations and have changed

and influenced how countless people are

living their lives and then some other

folk will say actually what changes

civilizations what modifies them and

what changes people live people’s lives

are empires so the great developments in

human history are stories of conquest

and of war and then some cheery soul

usually always pipes up and says hey

don’t forget about plagues

there are some optimistic answers to

this question so some people will bring

up the age of exploration on the opening

up of the world others will talk about

intellectual achievements in disciplines

like math that have helped us get a

better handle on the world and other

folk will talk about periods when there

was a deep flourishing of the Arts and

Sciences so this debate will go on and

on it’s an endless debate and there’s no

conclusive no single answer to it but if

you’re a geek like me you say well what

if the data say and you start to do

things like graph and things that we

might be interested in the total

worldwide population for example or some

measure of Social Development or the

state of advancement of a society you

start to plot the data because by this

approach the big stories the big

developments in human history are the

ones that will bend these curves a lot

so when you do this and when you plot

the data you pretty quickly come to some

weird conclusions you conclude actually

that none of these things have mattered

very much

hey they haven’t done a darn thing to

the curse there has been one story one

development in human history that bent

the curve bent it just about 90 degrees

and it is a technology story the steam

engine and the other associated

technologies of the Industrial

Revolution

changed the world and influenced human

history so much that in the words of the

historian Ian Morris they made mockery

out of all that had come before and they

did this by infinitely multiplying the

power of our muscles overcoming the

limitations of our muscles now what

we’re in the middle of now is overcoming

the limitations of our individual brains

and infinitely multiplying our mental

power how can this not be as big a deal

as overcoming the limitations of our

muscles so at the risk of repeating

myself a little bit when I look at

what’s going on with digital technology

these days we are not anywhere near

through with this journey and when I

look at what is happening to our

economies and our societies my single

conclusion is that we ain’t seen nothing

yet the best days are really ahead let

me give you a couple examples economies

don’t run on energy they don’t run on

capital they don’t run on labour

economies run on ideas so the work of

innovation the work of coming up with

new ideas is some of the most powerful

some of the most fundamental work that

we can do in an economy and this is kind

of how we used to do innovation we’d

find a bunch of fairly similar looking

people

we’d take them out of elite institutions

we put them into other elite

institutions and we’d wait for the

innovation now as a white guy who spent

his whole career at MIT and Harvard I

got no problem with this but some other

people do and they’ve kind of crashed

the party and loosened up the dress code

of innovation so here are the winners of

a top quarter programming challenge and

I assure you that nobody cares where

these kids grew up where they went to

school or what they look like all anyone

cares about is the quality of the work

the quality of the ideas and over and

over again we see this happening in the

technology facilitated world the work of

innovation is becoming more open more

inclusive more transparent and more

merit-based and that’s going to continue

no matter what MIT and Harvard think of

it and I couldn’t be happier about that

development I here once in a while okay

I’ll grant you that but but technology

is still a tool for the rich world and

what’s not happening these digital tools

are not improving the lives of people at

the bottom of the pyramid and I want to

say to that very clearly nonsense the

bottom of the pyramid is benefiting

hugely from technology the Economist

Robert Jensen did this wonderful study a

while back where he watched in great

detail what happened to the fishing

villages of Kerala India when they got

mobile phones for the very first time

and when you write for the quarterly

Journal of economics you have to use

very dry and very circumspect language

but when I read his paper I kind of feel

Jensen is trying to scream at us and say

look this was a big deal

prices stabilized so people could plan

their economic lives waste was not

reduced it was eliminated and the lives

of both the buyers and the sellers in

these villages measurably improved now

what I don’t think is that Jensen got

extremely lucky and happened to land in

the one set of villages where technology

made things better what happened instead

is he very carefully documented what

happens over and over again when

technology comes for the first time 25

in the community the lives of people the

welfares of people improve dramatically

so as I look around at all the evidence

and I think about the the room that we

have ahead of us I become a huge digital

optimist and I start to think that this

wonderful statement from the physicist

Freeman Dyson is actually not hyperbole

this is an accurate assessment of what’s

going on our digital art technologies

are great gifts and we right now have

the great good fortune to be living at a

time when digital technology is

flourishing when it is broadening and

deepening and being becoming more

profound all around the world so yeah

the the droids are taking our jobs but

focusing on that fact and this is the

point entirely the point is that then we

are freed up to do other things and what

we’re going to do I am very confident

what we’re going to do is reduce poverty

and drudgery and misery around the world

I’m very confident we’re going to learn

to live more lightly on the planet and I

am extremely confident that what we’re

going to do with our new digital tools

it’s going to be so profound and so

beneficial that it’s gonna make a

mockery out of everything that came

before I’m gonna leave the last word to

a guy who had a front-row seat for

digital progress our old friend Ken

Jennings I’m with him I’m gonna echo his

words I for one welcome our new computer

overlords thanks very much

事实证明,当数以千万计的

人失业或就业不足时,

人们对

技术可能对劳动力

产生的影响

产生了相当大的

兴趣 同时它

完全没有抓住重点,它关注

的问题是,所有这些

数字技术是否正在影响

人们谋生的能力,或者

说有点不同,

是机器人抢走了我们的工作,还有

一些 有证据表明,

当美国 GDP 恢复时,大衰退结束

了,它缓慢而稳步地

上升,其他一些经济

指标也开始反弹,

它们很快就恢复了健康

,事实上,

如果你把银行利润包括在内,他们的利润相当高 '

比以往任何时候都高

,设备和硬件和软件设备的商业投资处于

历史最高水平,因此业务 我们

正在拿出他们的支票簿,

他们实际上并没有做的是招聘,所以

这条红线是

就业与人口的比率,

换句话说,

是美国有工作的工作年龄人口的百分比,我们

看到它在 大

衰退,它根本没有开始

反弹,但这个故事

不仅仅是一个衰退的故事,

我们刚刚经历的十年

整个就业增长都相对乏力,

尤其是当我们将其与其他

几十年和数千年进行比较时 这是

我们有记录以来唯一一次

在十年结束时工作的人数

比开始

时少

随着时间的推移,差距越来越大,

然后在大衰退期间,它

以一种巨大的方式打开了

增长,并

以一种相当直接的方式使用这些来

尝试预测经济需要多少工作

才能保持增长,这

就是我想出的路线是

好是坏这是政府

对工作的喜爱 人口老龄化

,所以如果这些

预测是准确的,那么差距

不会缩小,问题是我

认为这些预测并不准确,

特别是我认为我的预测

过于乐观,因为当我这样做时,

我假设未来

随着劳动

生产率的增长,这看起来会像过去一样,这实际上

不是我所相信的,因为当我环顾

四周时,我认为

在过去的一对夫妇中,当谈到技术对劳动力的影响时,我们还什么都没看到 多年来,我们已经看到

数字工具展示

了他们以前从未有

过的技能和能力,并且深深地融入

了我们人类的谋生之道让

我举几个例子 纵观

整个历史,如果您想将某种

语言从一种语言翻译成另一种语言

,则必须有人参与。现在,我们

提供多语言即时

自动翻译服务,可

通过我们的许多设备免费提供,

一直到智能手机,如果我们中的任何一个

使用过这些,我们知道它们并不

完美,但它们在

整个历史

上都是不错

的 关于苹果的

收入,它是由算法编写的

,它并不像样,它很完美

很多人看到这个,他们说好的,

但这些都是非常具体的狭隘任务

,大多数知识工作者实际上是

通才,他们所做的就是坐在

上面 非常多的专业知识

和知识,他们用它来

即时对一种不可预测的

需求做出反应,这很难

自动化最重要的需求之一

最近记忆中的顽固知识工作者是一个

名叫肯詹宁斯的人,他连续

七十四次赢得智力竞赛 Jeopardy

带回家 300 万美元

,右边的肯

被沃森以 3 比一的比分击败了

来自 IBM 的超级计算机,所以 当

我们看到技术可以对普通知识工作者做些什么时,

我开始

认为

这种多面手的想法可能没有什么特别之处,

特别是当我们开始

做一些事情时,比如将 Siri 连接到

Watson 并拥有可以

理解我们的东西的技术。

现在,Siri 远非

完美,我们可以取笑她的缺陷,

但我们也应该记住,如果

像 Siri 和 Watson 这样的技术

沿着摩尔定律轨迹获得批准

,他们将在六年内得到认可。

不会比现在好 2 倍或 4

倍 会比现在好 16 倍

所以我开始

认为很多知识工作

将会 受此影响,数字

技术不仅影响

知识工作,他们也开始

在现实世界中锻炼肌肉,

我有机会

回到谷歌自动

驾驶汽车,这听起来很酷,我

将保证它非常顺利地处理了

US 101 上的走走停停交通

大约有

350 万人

在美国以驾驶卡车为生 我认为

其中一些人将受到

这项技术的影响 现在人形

机器人仍然非常原始,

他们不能做很多事情,但他们

很快就会变得更好

,而国防部的投资部门 DARPA

正试图

加快他们的发展轨迹,所以简而言之,

是的,机器人来了 我们的

工作在短期内,我们可以

通过鼓励

创业和投资

基础设施来刺激就业增长,因为今天的机器人

仍然不太擅长修桥,

但在 e 不太长 我认为

在这个房间里的大多数人的一生中,

我们将

过渡到一个非常有生产力的经济体,

但它不需要

大量的人类工人,并且正在管理这种

过渡 成为

我们社会面临的最大挑战

伏尔泰总结了为什么他说工作

可以让我们摆脱三大罪恶 无聊

和需要

我们现在正在开发的技术

将把我们带入一个乌托邦式的未来,而不是一个

反乌托邦式的

未来,并解释为什么我要发布

一个可笑的广泛问题我

想问现在

人类历史上最重要的发展是

什么? 想分享

我在回答

这个

问题时得到

的一些

答案

西方和东方的物理学改变

了很多人对

世界的看法,然后其他人会说不

阿什利大故事大

发展是

世界主要宗教的建立

改变了文明并改变了

和 影响了无数人

的生活方式,然后其他

人会说实际上是什么改变了

文明 什么改变了他们,

什么改变了人们的生活

通常总是大声说,嘿

,别忘了瘟疫

这个问题有一些乐观的答案,所以有些人会提出

关于世界开放的探索时代,

其他人会谈论

数学等学科的智力成就 帮助我们

更好地了解这个世界,其他

人会谈论

蓬勃发展的时期 g of the Arts and

Sciences 所以这场辩论将继续下去

,这是一场无休止的辩论,

没有结论性的答案,但如果

你是像我这样的极客,你会说好,

如果数据说的话,你开始

做事 像图表和我们

可能对全球总人口感兴趣的事物,

例如

社会发展的某种衡量标准或

社会的进步状态,您

开始绘制数据,因为通过这种

方法

,人类历史上的重大发展是重大故事

那些会使这些曲线弯曲很多的东西,

所以当你这样做时,当你

绘制数据时,你很快就会得出一些

奇怪的结论,你实际上得出的结论是

,这些事情都不是

很重要,

嘿,他们没有做任何该死的事情

诅咒 人类历史上有一个故事 一个

发展

弯曲曲线 弯曲它大约 90

度 这是一个技术故事

蒸汽机和工业的其他相关

技术

革命

改变了世界,极大地影响了人类

历史,以至于用

历史学家伊恩·莫里斯(Ian Morris)的话来说,他们嘲笑

之前发生的一切,

他们通过无限增加

我们肌肉的力量来克服

我们肌肉的局限性来做到这一点。

我们现在正处于克服

个人大脑的限制

并无限增加我们的精神

力量的过程中,这怎么可能

不像克服我们肌肉的限制

那么重要,所以

当我冒着重复自己的风险时 看看

这些天数字技术正在

发生什么,我们离这个旅程

还很远 前面让

我给你举几个例子 经济

不依靠能源 他们不依靠

资本 他们不依靠劳动力

经济依靠思想 所以

创新的工作 提出

新想法的

工作是

我们在经济中可以做的一些最强大的一些最基本的工作,这

就是我们过去进行创新的方式,我们会

找到一群长得很相似的

我们会把他们带出精英机构

我们把他们放到其他精英

机构 我们

现在等待创新 作为一个

在麻省理工学院和哈佛度过了整个职业生涯的白人

我对此没有问题,但其他一些

人这样做 他们有点搞砸

了聚会,放宽了创新的着装要求

,所以这

是顶级编程挑战赛的获胜者,

我向你保证,没有人关心

这些孩子在哪里长大,在哪里

上学,或者他们长什么样 任何人都

关心的是工作

的质量 想法的质量,

我们一遍又一遍地看到这种情况发生在

技术促进的世界中

创新的工作变得更加开放 更加

包容 更加透明和更加

优秀 d

无论麻省理工学院和哈佛怎么想,

这种情况都会继续下去,我对这种发展感到非常高兴

我偶尔来这里,好吧,

我会同意你的,但技术

仍然是富裕世界的工具,而且

没有发生什么 这些数字工具

并没有改善

金字塔底层人们的生活,我想

非常明确地说,

金字塔底层正

从技术中受益匪浅 经济学家

罗伯特·詹森不久前做了这项精彩的

研究 在那里,他非常

详细地观察

了印度喀拉拉邦的渔村

第一次获得手机时发生的事情

,当你为

季刊《经济学杂志》撰稿时,你必须使用

非常枯燥和非常谨慎的语言

,但当我读到他的 论文 我感觉

Jensen 是在试图对我们大喊大叫,说

看这很重要,

价格稳定了,这样人们就可以计划

他们的经济生活

了 d 这些村庄

的买家和卖家的生活

现在有了显着改善

我不认为 Jensen

非常幸运并且碰巧登陆

了一组技术

让事情变得更好的村庄 相反发生的事情

是他非常小心 记录

了当技术第一次出现时一次又一次发生的事情

25

在社区中 人们的生活 人们的

福利急剧改善

所以当我环顾所有证据时

,我想到了

我们面前的空间 我成为了一个巨大的数字

乐观主义者,我开始认为

物理学家弗里曼戴森的这个美妙的陈述

实际上并不是夸张,

这是对正在发生的事情的准确评估

我们的数字艺术技术

是很棒的礼物,我们

现在有幸 生活在

一个数字技术

蓬勃发展的时代,它在世界范围内不断扩大和

深化,变得更加

深刻,所以你们

啊,机器人正在抢走我们的工作,但

专注于这一事实,这就是重点

要做的是减少

世界各地的贫困、苦差事和

苦难 如此深刻和如此

有益,以至于

在我将最后一句话留给

一个前排座位以推动

数字化进步的人之前发生的一切都会成为嘲笑我们的老朋友

肯詹宁斯我和他在一起我 我会回应他的

话,我非常欢迎我们的新电脑

霸主,非常感谢