Why jobs of the future wont feel like work David Lee

So there’s a lot of valid
concern these days

that our technology is getting so smart

that we’ve put ourselves
on the path to a jobless future.

And I think the example
of a self-driving car

is actually the easiest one to see.

So these are going to be fantastic
for all kinds of different reasons.

But did you know that “driver”
is actually the most common job

in 29 of the 50 US states?

What’s going to happen to these jobs
when we’re no longer driving our cars

or cooking our food

or even diagnosing our own diseases?

Well, a recent study
from Forrester Research

goes so far to predict
that 25 million jobs

might disappear over the next 10 years.

To put that in perspective,

that’s three times as many jobs lost
in the aftermath of the financial crisis.

And it’s not just blue-collar jobs
that are at risk.

On Wall Street and across Silicon Valley,
we are seeing tremendous gains

in the quality of analysis
and decision-making

because of machine learning.

So even the smartest, highest-paid people
will be affected by this change.

What’s clear is that no matter
what your job is,

at least some, if not all of your work,

is going to be done by a robot
or software in the next few years.

And that’s exactly why people
like Mark Zuckerberg and Bill Gates

are talking about the need for
government-funded minimum income levels.

But if our politicians can’t agree
on things like health care

or even school lunches,

I just don’t see a path
where they’ll find consensus

on something as big and as expensive
as universal basic life income.

Instead, I think the response
needs to be led by us in industry.

We have to recognize
the change that’s ahead of us

and start to design the new kinds of jobs

that will still be relevant
in the age of robotics.

The good news is that we have
faced down and recovered

two mass extinctions of jobs before.

From 1870 to 1970,

the percent of American workers
based on farms fell by 90 percent,

and then again from 1950 to 2010,

the percent of Americans
working in factories

fell by 75 percent.

The challenge we face this time,
however, is one of time.

We had a hundred years
to move from farms to factories,

and then 60 years to fully build out
a service economy.

The rate of change today

suggests that we may only have
10 or 15 years to adjust,

and if we don’t react fast enough,

that means by the time
today’s elementary-school students

are college-aged,

we could be living
in a world that’s robotic,

largely unemployed and stuck
in kind of un-great depression.

But I don’t think it has to be this way.

You see, I work in innovation,

and part of my job is to shape how
large companies apply new technologies.

Certainly some of these technologies

are even specifically designed
to replace human workers.

But I believe that if we start
taking steps right now

to change the nature of work,

we can not only create environments
where people love coming to work

but also generate
the innovation that we need

to replace the millions of jobs
that will be lost to technology.

I believe that the key
to preventing our jobless future

is to rediscover what makes us human,

and to create a new generation
of human-centered jobs

that allow us to unlock
the hidden talents and passions

that we carry with us every day.

But first, I think
it’s important to recognize

that we brought this problem on ourselves.

And it’s not just because, you know,
we are the one building the robots.

But even though most jobs
left the factory decades ago,

we still hold on to this factory mindset

of standardization and de-skilling.

We still define jobs
around procedural tasks

and then pay people for the number
of hours that they perform these tasks.

We’ve created narrow job definitions

like cashier, loan processor
or taxi driver

and then asked people
to form entire careers

around these singular tasks.

These choices have left us with
actually two dangerous side effects.

The first is that these
narrowly defined jobs

will be the first
to be displaced by robots,

because single-task robots
are just the easiest kinds to build.

But second, we have accidentally made it

so that millions of workers
around the world

have unbelievably boring working lives.

(Laughter)

Let’s take the example
of a call center agent.

Over the last few decades,
we brag about lower operating costs

because we’ve taken most
of the need for brainpower

out of the person
and put it into the system.

For most of their day,
they click on screens,

they read scripts.

They act more like machines than humans.

And unfortunately,
over the next few years,

as our technology gets more advanced,

they, along with people
like clerks and bookkeepers,

will see the vast majority
of their work disappear.

To counteract this,
we have to start creating new jobs

that are less centered
on the tasks that a person does

and more focused on the skills
that a person brings to work.

For example, robots are great
at repetitive and constrained work,

but human beings have an amazing ability

to bring together
capability with creativity

when faced with problems
that we’ve never seen before.

It’s when every day
brings a little bit of a surprise

that we have designed work for humans

and not for robots.

Our entrepreneurs and engineers
already live in this world,

but so do our nurses and our plumbers

and our therapists.

You know, it’s the nature
of too many companies and organizations

to just ask people to come to work
and do your job.

But if you work is better done by a robot,

or your decisions better made by an AI,

what are you supposed to be doing?

Well, I think for the manager,

we need to realistically think about
the tasks that will be disappearing

over the next few years

and start planning for more meaningful,
more valuable work that should replace it.

We need to create environments

where both human beings and robots thrive.

I say, let’s give more work to the robots,

and let’s start with the work
that we absolutely hate doing.

Here, robot,

process this painfully idiotic report.

(Laughter)

And move this box. Thank you.

(Laughter)

And for the human beings,

we should follow the advice from Harry
Davis at the University of Chicago.

He says we have to make it so that people
don’t leave too much of themselves

in the trunk of their car.

I mean, human beings
are amazing on weekends.

Think about the people that you know
and what they do on Saturdays.

They’re artists, carpenters,
chefs and athletes.

But on Monday, they’re back
to being Junior HR Specialist

and Systems Analyst 3.

(Laughter)

You know, these narrow job titles
not only sound boring,

but they’re actually
a subtle encouragement

for people to make narrow
and boring job contributions.

But I’ve seen firsthand
that when you invite people to be more,

they can amaze us
with how much more they can be.

A few years ago,
I was working at a large bank

that was trying to bring more innovation
into its company culture.

So my team and I designed
a prototyping contest

that invited anyone to build
anything that they wanted.

We were actually trying to figure out

whether or not
the primary limiter to innovation

was a lack of ideas or a lack of talent,

and it turns out it was neither one.

It was an empowerment problem.

And the results
of the program were amazing.

We started by inviting
people to reenvision

what it is they could bring to a team.

This contest was not only a chance
to build anything that you wanted

but also be anything that you wanted.

And when people were no longer
limited by their day-to-day job titles,

they felt free to bring all kinds
of different skills and talents

to the problems
that they were trying to solve.

We saw technology people being designers,
marketing people being architects,

and even finance people showing off
their ability to write jokes.

(Laughter)

We ran this program twice,

and each time more than 400 people
brought their unexpected talents to work

and solved problems that they had been
wanting to solve for years.

Collectively, they created
millions of dollars of value,

building things like a better
touch-tone system for call centers,

easier desktop tools for branches

and even a thank you card system

that has become a cornerstone
of the employee working experience.

Over the course of the eight weeks,

people flexed muscles that they never
dreamed of using at work.

People learned new skills,

they met new people,

and at the end, somebody
pulled me aside and said,

“I have to tell you,

the last few weeks has been
one of the most intense,

hardest working experiences
of my entire life,

but not one second of it felt like work.”

And that’s the key.

For those few weeks, people
got to be creators and innovators.

They had been dreaming of solutions

to problems that had been
bugging them for years,

and this was a chance to turn
those dreams into a reality.

And that dreaming is an important part
of what separates us from machines.

For now, our machines
do not get frustrated,

they do not get annoyed,

and they certainly don’t imagine.

But we, as human beings –

we feel pain,

we get frustrated.

And it’s when we’re most annoyed
and most curious

that we’re motivated to dig
into a problem and create change.

Our imaginations are the birthplace
of new products, new services,

and even new industries.

I believe that the jobs of the future

will come from the minds of people

who today we call
analysts and specialists,

but only if we give them the freedom
and protection that they need to grow

into becoming explorers and inventors.

If we really want to robot-proof our jobs,

we, as leaders, need
to get out of the mindset

of telling people what to do

and instead start asking them
what problems they’re inspired to solve

and what talents
they want to bring to work.

Because when you can bring
your Saturday self to work on Wednesdays,

you’ll look forward to Mondays more,

and those feelings
that we have about Mondays

are part of what makes us human.

And as we redesign work
for an era of intelligent machines,

I invite you all to work alongside me

to bring more humanity
to our working lives.

Thank you.

(Applause)

因此,现在有很多有效的
担忧

,即我们的技术变得如此智能

,以至于我们已经将自己
置于通往失业未来的道路上。

而且我认为
自动驾驶汽车

的例子实际上是最容易看到的。

因此,
出于各种不同的原因,这些将非常棒。

但你知道“司机
”实际上是

美国 50 个州中 29 个州中最常见的工作吗?

当我们不再开车

、做饭

甚至诊断自己的疾病时,这些工作会发生什么?

好吧,Forrester Research 最近的一项研究

预测

未来 10 年可能有 2500 万个工作岗位消失。

换个角度来看,


是金融危机后失去的工作岗位的三倍。

面临风险的不仅仅是蓝领
工作。

在华尔街和整个硅谷,
我们看到机器学习

在分析和决策质量方面取得了巨大进步

因此,即使是最聪明、收入最高的人
也会受到这种变化的影响。

很明显,无论
你的工作是什么,

在接下来的几年里,如果不是全部,至少部分

工作将由机器人
或软件完成。

这就是为什么
像马克扎克伯格和比尔盖茨这样的人

正在谈论
政府资助的最低收入水平的必要性。

但是,如果我们的政客们不能
就医疗保健

甚至学校午餐等问题达成一致,

我只是看不到
他们会

在像全民基本生活收入这样大而昂贵的事情上达成共识的道路

相反,我认为应对措施
需要由我们在行业中领导。

我们必须认识
到摆在我们面前的变化,

并开始设计在机器人时代仍然相关的新型工作

好消息是,我们之前已经
面临并恢复了

两次大规模灭绝的工作。

从 1870 年到 1970 年,在农场

工作的美国工人的百分比
下降了 90%,

然后从 1950 年到 2010 年,在工厂工作

的美国人的百分比

又下降了 75%。 然而

,我们这次面临的挑战
是时间之一。

我们有 100 年的时间
从农场搬到工厂,

然后有 60 年的时间来全面
建设服务经济。

今天的变化速度

表明,我们可能只有
10 年或 15 年的时间来调整

,如果我们反应不够快,

这意味着当
今天的小学生

上大学时,

我们可能生活
在一个世界 那是机器人,

基本上失业了,陷入
了一种不太严重的抑郁症。

但我不认为它必须是这样。

你看,我从事创新工作,

我的部分工作是塑造
大公司如何应用新技术。

当然,其中一些

技术甚至专门设计
用于替代人工。

但我相信,如果我们
现在开始采取措施

改变工作的性质,

我们不仅可以创造
人们喜欢上班的环境,

而且还可以
产生我们需要的创新,

以取代数百万
将因技术而失去的工作 .

我相信,
防止我们未来失业的关键

是重新发现是什么让我们成为人类,

并创造以
人为本的新一代工作

,让我们能够释放我们每天随身携带
的隐藏才能和激情

但首先,我
认为重要的是要认识

到我们自己带来了这个问题。

这不仅仅是因为,你知道,
我们是制造机器人的人。

但即使大多数工作
在几十年前离开了工厂,

我们仍然坚持这种

标准化和去技能化的工厂思维方式。

我们仍然
围绕程序性任务定义工作

,然后根据
人们执行这些任务的小时数支付报酬。

我们创建了狭窄的工作定义,

例如收银员、贷款处理员
或出租车司机

,然后要求人们

围绕这些单一任务形成整个职业。

这些选择实际上给我们留下了
两个危险的副作用。

首先是这些
狭义的工作


首先被机器人取代,

因为单任务机器人
只是最容易构建的类型。

但其次,我们不小心

让全世界数百万工人

过着令人难以置信的无聊工作生活。

(笑声)

让我们
以呼叫中心代理为例。

在过去的几十年里,
我们吹嘘降低运营成本,

因为我们已经将大部分人
对脑力的需求

从人身上拿走
,并将其投入到系统中。

在他们一天的大部分时间里,
他们点击屏幕,

阅读脚本。

他们的行为更像机器而不是人类。

不幸的是,
在接下来的几年里,

随着我们的技术变得更加先进,

他们以及
文员和簿记员等人

将看到
他们的绝大多数工作消失。

为了解决这个问题,
我们必须开始创造新的工作


这些工作不那么专注于一个人所做的任务,

而更多地关注
一个人带来的工作技能。

例如,机器人
擅长重复性和受限制的工作,

但人类

在面对
我们从未见过的问题时具有将能力与创造力结合在一起的惊人能力。

正是在每天都会
带来一点惊喜的时候

,我们为人类

而不是机器人设计了工作。

我们的企业家和工程师
已经生活在这个世界上,

但我们的护士、管道工

和治疗师也是如此。

你知道,
太多的公司和组织

的本质就是要求人们来工作
并做你的工作。

但是,如果你的工作最好由机器人完成,

或者你的决定最好由人工智能做出,

你应该做什么?

好吧,我认为对于经理来说,

我们需要现实地考虑未来几年
将消失的任务,

并开始计划更有意义、
更有价值的工作来取代它。

我们需要创造

人类和机器人都能茁壮成长的环境。

我说,让我们给机器人更多

的工作,让我们从
我们绝对讨厌做的工作开始。

在这里,机器人,

处理这个令人痛苦的白痴报告。

(笑声

) 移动这个盒子。 谢谢你。

(笑声

) 对于人类,

我们应该听从芝加哥大学哈里戴维斯的建议

他说我们必须做到这一点,这样人们
就不会

在汽车后备箱里留下太多的自我。

我的意思是,人类
在周末是惊人的。

想想你认识的人
以及他们在星期六做什么。

他们是艺术家、木匠、
厨师和运动员。

但是在周一,他们又回到
了初级人力资源专家

和系统分析师 3 的位置。

(笑声)

你知道,这些狭隘的职位
不仅听起来很无聊,

而且实际上是
一种微妙的鼓励

,鼓励人们做出狭隘
而无聊的工作贡献 .

但我亲眼目睹
,当你邀请人们变得更多时,

他们可以让
我们惊讶于他们可以变得更多。

几年前,
我在一家大型银行工作,

该银行试图将更多创新
引入其公司文化。

所以我和我的团队设计
了一个原型设计竞赛

,邀请任何人
构建他们想要的任何东西。

实际上,我们试图弄清楚

创新的主要限制因素

是缺乏想法还是缺乏人才

,但事实证明两者都不是。

这是一个授权问题。

该计划的结果
是惊人的。

我们首先邀请
人们重新设想

他们可以为团队带来什么。

这场比赛不仅是一个
创造你想要的任何东西的机会,

而且是你想要的任何东西。

当人们不再
受日常工作头衔的限制时,

他们可以自由地将
各种不同的技能和才能

带到
他们试图解决的问题上。

我们看到技术人员成为设计师,
营销人员成为建筑师,

甚至金融人员炫耀
他们写笑话的能力。

(笑声)

这个项目我们跑了两次

,每次都有 400 多人
带着他们意想不到的才能工作

,解决了他们多年来一直
想解决的问题。

他们共同创造了
数百万美元的价值,

构建了更好
的呼叫中心按键系统、

更简单的分支机构桌面工具

,甚至

是已成为
员工工作体验基石的感谢卡系统。

在八周的时间里,

人们锻炼了他们
在工作中做梦也想不到的肌肉。

人们学习了新技能

,结识了新朋友

,最后,有人
把我拉到一边说:

“我必须告诉你

,过去几周是我一生中
最紧张、

最辛苦的工作经历
之一,

但是 没有一秒钟感觉像是工作。”

这就是关键。

在那几周里,人们
必须成为创造者和创新者。

他们一直梦想着解决

困扰他们多年的问题,

而这是一个将
这些梦想变为现实的机会。

做梦是我们与机器区别开来的重要组成部分

目前,我们的机器
不会感到沮丧,

不会生气

,当然也不会想象。

但是我们,作为人类——

我们感到痛苦,

我们感到沮丧。

正是在我们最恼火
和最好奇的时候

,我们才有动力去
挖掘问题并创造改变。

我们的想象力
是新产品、新服务

甚至新产业的发源地。

我相信未来的工作

将来自

今天我们称之为
分析师和专家的人的头脑,

但前提是我们给予他们

成长为探索者和发明家所需的自由和保护。

如果我们真的想用机器人来证明我们的工作

,作为领导者,我们
需要摆脱

告诉人们该做什么的心态

,而是开始询问他们
受到启发要解决哪些问题

以及
他们想带来什么才能 工作。

因为当您可以
在周三带着周六的自己去工作时,

您会更加期待周一,


我们对周一的那些感受

正是使我们成为人类的一部分。

当我们
为智能机器时代重新设计工作时,

我邀请大家与我一起

工作,为我们的工作生活带来更多的人性。

谢谢你。

(掌声)