请双击下面的英文字幕来播放视频。
翻译人员: edukm ps
校对人员: Yolanda Zhang
00:12
So there's a lot of valid
concern these days
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当今有许多实实在在的担心
00:14
that our technology is getting so smart
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技术正在变得如此智能
00:17
that we've put ourselves
on the path to a jobless future.
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我们几乎是在把自己引向失业
00:21
And I think the example
of a self-driving car
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自动驾驶汽车
00:23
is actually the easiest one to see.
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是其中最浅显的一个例子
00:25
So these are going to be fantastic
for all kinds of different reasons.
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不管怎样 自动驾驶都是非常棒的事情
00:28
But did you know that "driver"
is actually the most common job
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但你是否知道
在美国50个州其中的29个
00:32
in 29 of the 50 US states?
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司机都是最普遍的职业
00:34
What's going to happen to these jobs
when we're no longer driving our cars
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当我们不再需要司机驾驶汽车
也不需要人来烹饪食物
00:38
or cooking our food
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甚至不需要医生来诊断疾病
00:39
or even diagnosing our own diseases?
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这些工作岗位将何去何从呢
00:42
Well, a recent study
from Forrester Research
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一个来自弗雷斯特研究的最新研究
00:44
goes so far to predict
that 25 million jobs
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甚至预计有两千五百万个工作
00:48
might disappear over the next 10 years.
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可能会在接下来的十年内消失
00:51
To put that in perspective,
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换个方式说
00:52
that's three times as many jobs lost
in the aftermath of the financial crisis.
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这相当于金融危机之后
消失的职业数量的三倍
00:58
And it's not just blue-collar jobs
that are at risk.
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而且不只是蓝领职业有消失的危险
01:01
On Wall Street and across Silicon Valley,
we are seeing tremendous gains
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放眼整个华尔街和硅谷
机器学习在
01:04
in the quality of analysis
and decision-making
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分析和决策中的应用
01:07
because of machine learning.
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均取得了巨大的成就
01:08
So even the smartest, highest-paid people
will be affected by this change.
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即便是最聪明 最高薪的人
也会被这个改变所影响
01:13
What's clear is that no matter
what your job is,
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很明显的是无论你的职业是什么
01:16
at least some, if not all of your work,
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即便不是全部 也会有一部分
01:18
is going to be done by a robot
or software in the next few years.
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会在接下来的几年里
被机器人或软件所取代
01:22
And that's exactly why people
like Mark Zuckerberg and Bill Gates
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而这恰恰是像马克·扎克伯格
和比尔·盖茨这样的人
01:25
are talking about the need for
government-funded minimum income levels.
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在讨论政府需要保障人们
最低收入水平的原因
01:29
But if our politicians can't agree
on things like health care
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但如果政客们连医保
学校午餐之类的事情
01:32
or even school lunches,
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都无法达成一致
01:33
I just don't see a path
where they'll find consensus
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我不觉得他们能在这样
01:36
on something as big and as expensive
as universal basic life income.
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巨大且昂贵的全民基本
生活保障的事情上达成一致
01:40
Instead, I think the response
needs to be led by us in industry.
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反而我认为应该由
我们行业自身的人去引导
01:44
We have to recognize
the change that's ahead of us
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我们要意识到前方的变化
01:46
and start to design the new kinds of jobs
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并着手设计新的工作形式
01:48
that will still be relevant
in the age of robotics.
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使其在机器时代仍具有意义
01:52
The good news is that we have
faced down and recovered
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好消息是我们之前经历过
01:55
two mass extinctions of jobs before.
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两次大的失业潮和经济复苏
01:58
From 1870 to 1970,
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1870年到1970年间
02:00
the percent of American workers
based on farms fell by 90 percent,
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在农场工作的美国工人
数量下降了90%
02:05
and then again from 1950 to 2010,
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而从1950年到2010年
02:07
the percent of Americans
working in factories
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在工厂里的美国工人数量
02:09
fell by 75 percent.
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下降了75%
02:12
The challenge we face this time,
however, is one of time.
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而我们这次面临的挑战是“时间”
02:15
We had a hundred years
to move from farms to factories,
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我们有100年的时间从农场转向工厂
02:18
and then 60 years to fully build out
a service economy.
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又花了60年去建设服务业经济
02:21
The rate of change today
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如今的变化速度
02:22
suggests that we may only have
10 or 15 years to adjust,
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意味着我们只有10到15年来调整
02:25
and if we don't react fast enough,
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如果我们不尽快作出反应
02:27
that means by the time
today's elementary-school students
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那就意味着当今天的小学生
02:30
are college-aged,
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上大学的时候
02:32
we could be living
in a world that's robotic,
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我们就会生活在一个充斥着机器人
02:34
largely unemployed and stuck
in kind of un-great depression.
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并伴随大量失业人群的萧条世界里了
02:39
But I don't think it has to be this way.
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但我不认为这样的结果是注定的
02:41
You see, I work in innovation,
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我的工作是革新
02:43
and part of my job is to shape how
large companies apply new technologies.
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我的部分工作是帮助
大公司应用新的技术
02:48
Certainly some of these technologies
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而其中有些技术
02:49
are even specifically designed
to replace human workers.
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就是专门设计来取代人类工作者
02:53
But I believe that if we start
taking steps right now
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但是我相信如果我们现在开始着手
02:56
to change the nature of work,
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去改变工作的本质
02:58
we can not only create environments
where people love coming to work
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我们不仅可以创造
人们所热爱的工作环境
03:02
but also generate
the innovation that we need
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而且还可以产生我们所需要的创新
03:04
to replace the millions of jobs
that will be lost to technology.
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来代替终将流失于技术的数百万职业
03:08
I believe that the key
to preventing our jobless future
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我认为预防我们未来失业的关键在于
03:12
is to rediscover what makes us human,
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重新发现人类自身
03:14
and to create a new generation
of human-centered jobs
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并创造新一代的以人为本的职业
03:17
that allow us to unlock
the hidden talents and passions
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来释放人类身上
03:20
that we carry with us every day.
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隐藏的天赋和激情
03:23
But first, I think
it's important to recognize
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但首先我认为很重要的
是需要认识到
03:26
that we brought this problem on ourselves.
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问题是我们自己造成的
03:28
And it's not just because, you know,
we are the one building the robots.
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不仅仅是因为我们创造了机器人
03:32
But even though most jobs
left the factory decades ago,
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尽管几十年间很多工作
就已经与工厂无关
03:35
we still hold on to this factory mindset
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我们却仍然固守着工厂
03:37
of standardization and de-skilling.
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那种去技能化的标准化思维
03:40
We still define jobs
around procedural tasks
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我们仍围绕程序化的任务来定义工作
03:42
and then pay people for the number
of hours that they perform these tasks.
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然后按照人们执行任务的
小时数付他们薪水
03:46
We've created narrow job definitions
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我们创造了狭隘的工作定义
03:48
like cashier, loan processor
or taxi driver
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比如收银员 贷款业务员 出租车司机
03:51
and then asked people
to form entire careers
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然后让人们围着这些单调的任务
03:53
around these singular tasks.
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去打造整个职业生涯
03:56
These choices have left us with
actually two dangerous side effects.
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这些选择事实上带给
我们两个危险的副作用
03:59
The first is that these
narrowly defined jobs
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首先 这些被狭隘定义的工作
04:02
will be the first
to be displaced by robots,
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会最先被机器人替代
04:04
because single-task robots
are just the easiest kinds to build.
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因为单任务的机器人是最容易制造的
04:08
But second, we have accidentally made it
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其次 这种不经意间的选择
04:11
so that millions of workers
around the world
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让全世界成千上万的人
04:13
have unbelievably boring working lives.
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从事着难以置信的无聊工作
04:15
(Laughter)
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(笑声)
04:18
Let's take the example
of a call center agent.
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我们来看个呼叫中心客服的例子
04:20
Over the last few decades,
we brag about lower operating costs
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过去的几十年间
我们夸耀着更低的运行费用
04:23
because we've taken most
of the need for brainpower
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因为我们把对脑力的大部分要求
从人身上拿出来放进了应答系统中
04:26
out of the person
and put it into the system.
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04:28
For most of their day,
they click on screens,
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所以在一天的大多数时间里
他们只是在点击着屏幕
04:30
they read scripts.
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念念稿子
04:33
They act more like machines than humans.
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行为模式更像机器而不是人类
04:37
And unfortunately,
over the next few years,
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而且不幸的是 在接下来的几年里
04:39
as our technology gets more advanced,
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随着我们的技术变得更加先进
04:41
they, along with people
like clerks and bookkeepers,
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他们以及诸如书记员和
簿记员那样的人
04:43
will see the vast majority
of their work disappear.
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将会面临大量工作机会的丧失
04:47
To counteract this,
we have to start creating new jobs
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要应对这点 我们必须开始创造新的职业
04:50
that are less centered
on the tasks that a person does
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那种不那么以人的任务为中心
04:52
and more focused on the skills
that a person brings to work.
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而是更集中在人的
工作技巧层面的职业
04:56
For example, robots are great
at repetitive and constrained work,
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比如机器更适合重复性和受限的工作
04:59
but human beings have an amazing ability
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但是人类具有不可思议的
05:01
to bring together
capability with creativity
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富有创造力的能力
05:03
when faced with problems
that we've never seen before.
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去应对那些从未遇到的新问题
05:06
It's when every day
brings a little bit of a surprise
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当我们给人类而非机器人
05:09
that we have designed work for humans
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设计工作时 每天都可以
05:11
and not for robots.
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带来一点惊喜
05:13
Our entrepreneurs and engineers
already live in this world,
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我们的企业家和工程师
早已经出现在这个世上
05:16
but so do our nurses and our plumbers
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我们的护士和水管工
05:19
and our therapists.
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心理咨询师也同样如此
05:21
You know, it's the nature
of too many companies and organizations
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如今太多的公司和组织
05:24
to just ask people to come to work
and do your job.
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只是让人们来上个班做个工作
05:28
But if you work is better done by a robot,
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但如果你的工作
机器人可以完成得更好
05:30
or your decisions better made by an AI,
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或者机器人做决定都比你强
05:33
what are you supposed to be doing?
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你还能做什么呢
05:35
Well, I think for the manager,
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我认为对于管理者而言
05:38
we need to realistically think about
the tasks that will be disappearing
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我们需要现实地思考一下
在接下来几年里
05:41
over the next few years
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会消失的任务
05:42
and start planning for more meaningful,
more valuable work that should replace it.
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并且开始计划用更有意义
更有价值的工作去替代它们
05:46
We need to create environments
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我们需要创造环境
05:48
where both human beings and robots thrive.
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人类和机器人都可以共同成长的环境
05:50
I say, let's give more work to the robots,
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让我们给机器人更多的工作
05:53
and let's start with the work
that we absolutely hate doing.
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就从最讨厌做的工作开始
05:57
Here, robot,
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嘿 机器人
05:58
process this painfully idiotic report.
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处理掉这个愚蠢的报道
06:00
(Laughter)
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(笑声)
06:01
And move this box. Thank you.
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再搬走这个盒子 谢谢
06:03
(Laughter)
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(笑声)
06:04
And for the human beings,
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对于人类自身
06:06
we should follow the advice from Harry
Davis at the University of Chicago.
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我们应该遵从芝加哥大学
哈利·戴维斯的建议
06:10
He says we have to make it so that people
don't leave too much of themselves
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他说我们需要做到让人们不把自己
06:13
in the trunk of their car.
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放在他们的后备箱中
06:15
I mean, human beings
are amazing on weekends.
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我的意思是
人们在周末会变得非常厉害
06:18
Think about the people that you know
and what they do on Saturdays.
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想一想你认识的人
以及他们在周六做的事
06:21
They're artists, carpenters,
chefs and athletes.
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他们是艺术家 木匠 厨师 运动员
06:24
But on Monday, they're back
to being Junior HR Specialist
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但是在周一 他们又变成了HR菜鸟
06:28
and Systems Analyst 3.
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或3号系统分析员
06:30
(Laughter)
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(笑声)
06:34
You know, these narrow job titles
not only sound boring,
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这些狭隘的职业名称不仅听上去很无趣
06:38
but they're actually
a subtle encouragement
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它们其实还潜移默化鼓动人们
去为狭隘和无聊的职业奉献
06:40
for people to make narrow
and boring job contributions.
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06:43
But I've seen firsthand
that when you invite people to be more,
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我已经见识过了
当你邀请人们做得更多时
06:46
they can amaze us
with how much more they can be.
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他们却能让我们刮目相看
06:50
A few years ago,
I was working at a large bank
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几年前 我在一个大银行工作
06:52
that was trying to bring more innovation
into its company culture.
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并试着把更多的创新
带进它的公司文化中
06:55
So my team and I designed
a prototyping contest
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我和我的团队设计了一个模型比赛
06:57
that invited anyone to build
anything that they wanted.
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邀请每一个人来建造
任何他们想建造的东西
07:01
We were actually trying to figure out
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我们其实在试着找出
限制创新的主要原因究竟是
07:03
whether or not
the primary limiter to innovation
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07:05
was a lack of ideas or a lack of talent,
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缺少想法还是缺少天赋
07:08
and it turns out it was neither one.
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结果两者都不是
07:10
It was an empowerment problem.
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这是一个关于授权的问题
07:12
And the results
of the program were amazing.
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这个项目的结果非常惊人
07:16
We started by inviting
people to reenvision
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我们起初邀请人们来重新构想
07:18
what it is they could bring to a team.
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他们能给团队带来的东西
07:20
This contest was not only a chance
to build anything that you wanted
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这个比赛不仅是一个
天马行空去创造的事情
07:24
but also be anything that you wanted.
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也是一个做你自己的机会
07:26
And when people were no longer
limited by their day-to-day job titles,
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当人们不再被他们
每天的工作头衔所限制时
他们会尽情的把
各种不同的技能和天赋
07:30
they felt free to bring all kinds
of different skills and talents
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应用到尝试要解决的问题中去
07:33
to the problems
that they were trying to solve.
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07:35
We saw technology people being designers,
marketing people being architects,
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我们看见技术人员成为设计师
营销人员变成建筑师
07:39
and even finance people showing off
their ability to write jokes.
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金融人员化身为段子手
07:43
(Laughter)
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(笑声)
07:44
We ran this program twice,
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我们运作了这个项目两次
07:46
and each time more than 400 people
brought their unexpected talents to work
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而每一次都有400多人为工作
带来了他们意想不到的天赋
07:49
and solved problems that they had been
wanting to solve for years.
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并且解决了他们很多年前
就想解决的问题
07:53
Collectively, they created
millions of dollars of value,
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他们共同创造了数百万美元的价值
07:56
building things like a better
touch-tone system for call centers,
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创建了更好的呼叫中心按键系统
08:00
easier desktop tools for branches
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更易于使用的桌面工具
08:02
and even a thank you card system
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甚至还有一个感谢信系统
08:04
that has become a cornerstone
of the employee working experience.
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这些都成为员工工作体验的基石
08:07
Over the course of the eight weeks,
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在八周的时间里
08:09
people flexed muscles that they never
dreamed of using at work.
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人们在工作中展现了
他们从未想象过的神通
08:14
People learned new skills,
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人们学会了新的技巧
08:15
they met new people,
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他们结交了新的朋友
08:18
and at the end, somebody
pulled me aside and said,
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最后有个人把我拉到一边说
08:20
"I have to tell you,
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我得告诉你
08:22
the last few weeks has been
one of the most intense,
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这几个礼拜是我这辈子
08:25
hardest working experiences
of my entire life,
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最紧张 最辛苦的工作经历
08:28
but not one second of it felt like work."
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但我没有一刻感觉是在工作
08:31
And that's the key.
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那就是关键
08:33
For those few weeks, people
got to be creators and innovators.
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在那几周里 人们需要
成为创造者和革新者
08:38
They had been dreaming of solutions
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他们一直梦想着解决
08:40
to problems that had been
bugging them for years,
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那些烦扰了他们好多年的问题
08:42
and this was a chance to turn
those dreams into a reality.
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而这是一个把这些
梦想变为现实的机会
08:46
And that dreaming is an important part
of what separates us from machines.
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而梦想是我们区别于机器的重要部分
08:50
For now, our machines
do not get frustrated,
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目前我们的机器不会有挫败感
08:53
they do not get annoyed,
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它们不会被惹怒
08:55
and they certainly don't imagine.
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它们当然也不具有想象力
08:57
But we, as human beings --
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但是我们 作为人类
08:59
we feel pain,
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我们会感到痛苦
09:00
we get frustrated.
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我们会觉得沮丧
09:02
And it's when we're most annoyed
and most curious
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而我们最为烦恼和最为好奇之时
09:05
that we're motivated to dig
into a problem and create change.
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就是我们产生动力去
深究问题并作出改变之时
09:09
Our imaginations are the birthplace
of new products, new services,
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我们的想象力是新产品 新服务
09:13
and even new industries.
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甚至新工业的诞生地
09:15
I believe that the jobs of the future
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我相信未来的职业
09:17
will come from the minds of people
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源于人们的头脑
09:18
who today we call
analysts and specialists,
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他们在今天被称作分析员和专家
09:21
but only if we give them the freedom
and protection that they need to grow
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但这只会在我们为他们
成为发现者和发明家
09:25
into becoming explorers and inventors.
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提供足够的自由和保护的情况下发生
09:28
If we really want to robot-proof our jobs,
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如果我们确实想让
工作不被机器人取代
09:30
we, as leaders, need
to get out of the mindset
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我们 作为领导者 需要抛弃
09:32
of telling people what to do
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指使人们做事的模式
09:34
and instead start asking them
what problems they're inspired to solve
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反而应该询问他们想解决什么问题
09:38
and what talents
they want to bring to work.
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以及他们想把什么天赋带到工作中
09:41
Because when you can bring
your Saturday self to work on Wednesdays,
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因为当你可以把周六的自己
带到周三的工作中时
09:44
you'll look forward to Mondays more,
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你会更期待周一
09:46
and those feelings
that we have about Mondays
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而那些对周一的感觉
09:49
are part of what makes us human.
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是我们人类的一部分
09:52
And as we redesign work
for an era of intelligent machines,
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在为人工智能时代
重新设计工作的过程中
09:55
I invite you all to work alongside me
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我邀请你们所有人和我一起努力
09:57
to bring more humanity
to our working lives.
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把更多的人性带入
我们的工作生活中
10:00
Thank you.
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谢谢
10:01
(Applause)
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(掌声)
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