Why tech needs the humanities Eric Berridge

You’ve all been in a bar, right?

(Laughter)

But have you ever gone to a bar

and come out with a $200 million business?

That’s what happened to us
about 10 years ago.

We’d had a terrible day.

We had this huge client
that was killing us.

We’re a software consulting firm,

and we couldn’t find
a very specific programming skill

to help this client deploy
a cutting-edge cloud system.

We have a bunch of engineers,

but none of them could please this client.

And we were about to be fired.

So we go out to the bar,

and we’re hanging out
with our bartender friend Jeff,

and he’s doing
what all good bartenders do:

he’s commiserating with us,
making us feel better,

relating to our pain,

saying, “Hey, these guys
are overblowing it.

Don’t worry about it.”

And finally, he deadpans us and says,

“Why don’t you send me in there?

I can figure it out.”

So the next morning,
we’re hanging out in our team meeting,

and we’re all a little hazy …

(Laughter)

and I half-jokingly throw it out there.

I say, “Hey, I mean,
we’re about to be fired.”

So I say,

“Why don’t we send in
Jeff, the bartender?”

(Laughter)

And there’s some silence,
some quizzical looks.

Finally, my chief of staff says,
“That is a great idea.”

(Laughter)

“Jeff is wicked smart. He’s brilliant.

He’ll figure it out.

Let’s send him in there.”

Now, Jeff was not a programmer.

In fact, he had dropped out of Penn
as a philosophy major.

But he was brilliant,

and he could go deep on topics,

and we were about to be fired.

So we sent him in.

After a couple days of suspense,

Jeff was still there.

They hadn’t sent him home.

I couldn’t believe it.

What was he doing?

Here’s what I learned.

He had completely disarmed
their fixation on the programming skill.

And he had changed the conversation,

even changing what we were building.

The conversation was now
about what we were going to build and why.

And yes, Jeff figured out
how to program the solution,

and the client became
one of our best references.

Back then, we were 200 people,

and half of our company was made up
of computer science majors or engineers,

but our experience with Jeff
left us wondering:

Could we repeat this through our business?

So we changed the way
we recruited and trained.

And while we still sought after computer
engineers and computer science majors,

we sprinkled in artists,
musicians, writers …

and Jeff’s story started to multiply
itself throughout our company.

Our chief technology officer
is an English major,

and he was a bike messenger in Manhattan.

And today, we’re a thousand people,

yet still less than a hundred have degrees
in computer science or engineering.

And yes, we’re still
a computer consulting firm.

We’re the number one player in our market.

We work with the fastest-growing
software package

to ever reach 10 billion dollars
in annual sales.

So it’s working.

Meanwhile, the push for STEM-based
education in this country –

science, technology,
engineering, mathematics –

is fierce.

It’s in all of our faces.

And this is a colossal mistake.

Since 2009, STEM majors
in the United States

have increased by 43 percent,

while the humanities have stayed flat.

Our past president

dedicated over a billion dollars
towards STEM education

at the expense of other subjects,

and our current president

recently redirected 200 million dollars
of Department of Education funding

into computer science.

And CEOs are continually complaining
about an engineering-starved workforce.

These campaigns,

coupled with the undeniable success
of the tech economy –

I mean, let’s face it,

seven out of the 10 most valuable
companies in the world by market cap

are technology firms –

these things create an assumption

that the path of our future workforce
will be dominated by STEM.

I get it.

On paper, it makes sense.

It’s tempting.

But it’s totally overblown.

It’s like, the entire soccer team
chases the ball into the corner,

because that’s where the ball is.

We shouldn’t overvalue STEM.

We shouldn’t value the sciences
any more than we value the humanities.

And there are a couple of reasons.

Number one, today’s technologies
are incredibly intuitive.

The reason we’ve been able
to recruit from all disciplines

and swivel into specialized skills

is because modern systems
can be manipulated without writing code.

They’re like LEGO: easy to put together,
easy to learn, even easy to program,

given the vast amounts of information
that are available for learning.

Yes, our workforce
needs specialized skill,

but that skill requires a far less
rigorous and formalized education

than it did in the past.

Number two, the skills
that are imperative and differentiated

in a world with intuitive technology

are the skills that help us
to work together as humans,

where the hard work
is envisioning the end product

and its usefulness,

which requires real-world experience
and judgment and historical context.

What Jeff’s story taught us

is that the customer
was focused on the wrong thing.

It’s the classic case:

the technologist struggling to communicate
with the business and the end user,

and the business failing
to articulate their needs.

I see it every day.

We are scratching the surface

in our ability as humans
to communicate and invent together,

and while the sciences teach us
how to build things,

it’s the humanities that teach us
what to build and why to build them.

And they’re equally as important,

and they’re just as hard.

It irks me …

when I hear people
treat the humanities as a lesser path,

as the easier path.

Come on!

The humanities give us
the context of our world.

They teach us how to think critically.

They are purposely unstructured,

while the sciences
are purposely structured.

They teach us to persuade,
they give us our language,

which we use to convert our emotions
to thought and action.

And they need to be
on equal footing with the sciences.

And yes, you can hire a bunch of artists

and build a tech company

and have an incredible outcome.

Now, I’m not here today
to tell you that STEM’s bad.

I’m not here today
to tell you that girls shouldn’t code.

(Laughter)

Please.

And that next bridge I drive over

or that next elevator we all jump into –

let’s make sure
there’s an engineer behind it.

(Laughter)

But to fall into this paranoia

that our future jobs
will be dominated by STEM,

that’s just folly.

If you have friends or kids
or relatives or grandchildren

or nieces or nephews …

encourage them to be
whatever they want to be.

(Applause)

The jobs will be there.

Those tech CEOs

that are clamoring for STEM grads,

you know what they’re hiring for?

Google, Apple, Facebook.

Sixty-five percent
of their open job opportunities

are non-technical:

marketers, designers,
project managers, program managers,

product managers, lawyers, HR specialists,

trainers, coaches, sellers,
buyers, on and on.

These are the jobs they’re hiring for.

And if there’s one thing
that our future workforce needs –

and I think we can all agree on this –

it’s diversity.

But that diversity shouldn’t end
with gender or race.

We need a diversity of backgrounds

and skills,

with introverts and extroverts

and leaders and followers.

That is our future workforce.

And the fact that the technology
is getting easier and more accessible

frees that workforce up

to study whatever they damn well please.

Thank you.

(Applause)

你们都去过酒吧,对吧?

(笑声)

但是你有没有去

酒吧做 2 亿美元的生意?

这就是大约 10 年前发生在我们身上的事情

我们度过了糟糕的一天。

我们有
一个正在杀死我们的大客户。

我们是一家软件咨询公司

,我们
找不到非常具体的编程技能

来帮助这个客户
部署尖端的云系统。

我们有一群工程师,

但没有一个能取悦这个客户。

我们即将被解雇。

所以我们去酒吧,


我们的调酒师朋友杰夫一起出去玩

,他正在
做所有优秀调酒师都会做的事情:

他同情我们,
让我们感觉更好,

与我们的痛苦有关,

说,“嘿,这些 伙计
们夸大其词了。

别担心。”

最后,他面无表情地说:

“你为什么不把我送进去?

我能弄清楚。”

所以第二天早上,
我们在团队会议上闲逛

,我们都有点朦胧……

(笑声

)我半开玩笑地把它扔在那里。

我说,“嘿,我的意思是,
我们即将被解雇。”

所以我说,

“我们为什么不
派调酒师杰夫来?”

(笑声)

还有一些沉默,
一些奇怪的表情。

最后,我的参谋长说:
“这是个好主意。”

(笑声)

“杰夫非常聪明。他很聪明。

他会弄清楚的。

让我们把他送到那里。”

现在,杰夫不是程序员。

事实上,他已经从宾夕法尼亚大学
的哲学专业退学了。

但他很聪明

,他可以深入探讨话题

,我们快要被解雇了。

所以我们把他送了进去。

经过几天的悬念,

杰夫仍然在那里。

他们没有送他回家。

我简直不敢相信。

他在做什么?

这是我学到的。

他完全解除了
他们对编程技巧的执着。

他改变了谈话,

甚至改变了我们正在建造的东西。

现在的对话是
关于我们将要构建什么以及为什么。

是的,杰夫想出了
如何编写解决方案

,客户
成为我们最好的参考之一。

那时,我们有 200 人,

我们公司的一半是
由计算机科学专业或工程师组成的,

但我们与 Jeff 的经历
让我们想知道:

我们能否通过我们的业务重复这一点?

所以我们改变了
招募和培训的方式。

虽然我们仍然在寻找计算机
工程师和计算机科学专业的学生,

但我们也加入了艺术家、
音乐家、作家

……杰夫的故事开始
在我们公司中传播开来。

我们的首席技术官
是一名英语专业的学生

,他是曼哈顿的一名自行车信使。

而今天,我们有一千人,

但拥有计算机科学或工程学位的还不到一百人

是的,我们仍然
是一家计算机咨询公司。

我们是市场上的第一大玩家。

我们使用增长最快的

软件包,年销售额达到 100 亿
美元。

所以它正在工作。

与此同时,这个国家对基于 STEM 的
教育——

科学、技术、
工程、数学——

的推动力度很大。

它在我们所有人的脸上。

这是一个巨大的错误。

自 2009 年以来,
美国

的 STEM 专业增加了 43%,

而人文学科则持平。

我们的前任总统以牺牲其他学科为代价

将超过 10 亿美元
用于 STEM 教育

而我们现任总统

最近将
教育部的 2 亿美元资金

用于计算机科学。

CEO 们不断
抱怨缺乏工程技术的劳动力。

这些活动,

再加上科技经济不可否认的成功
——

我的意思是,让我们面对

现实吧,世界上市值最高的 10 家公司中有 7 家

是科技公司——

这些事情创造了一个假设

,即我们的发展道路 未来的劳动力
将由 STEM 主导。

我知道了。

在纸面上,这是有道理的。

这很诱人。

但这完全被夸大了。

就像,整个足球队
都把球追到角落里,

因为那是球所在的地方。

我们不应该高估 STEM。

我们不应该像
重视人文学科那样重视科学。

有几个原因。

第一,当今的技术
非常直观。

我们之所以能够
从所有学科中招聘

并转向专业技能,

是因为现代系统
可以在不编写代码的情况下进行操作。

它们就像乐高积木一样:易于组装、
易于学习,甚至易于编程,

因为有大量
信息可供学习。

是的,我们的劳动力
需要专业技能,

但与过去相比,这种技能需要的
严格和正规教育要少

得多。

第二,在

具有直观技术的世界中必不可少且与众不同

的技能是帮助我们
作为人类一起工作的技能,

其中艰苦的工作
是设想最终产品

及其有用性,

这需要现实世界的经验
和判断力和 历史背景。

Jeff 的故事告诉我们的

是,
客户专注于错误的事情。

这是典型的案例

:技术专家努力
与企业和最终用户沟通,

而企业
未能明确表达他们的需求。

我每天都看到它。

作为人类,我们
共同交流和共同发明的能力正在触及表面

,虽然科学教我们
如何建造事物,

但人文学科教我们
建造什么以及为什么建造它们。

它们同样重要,

也同样困难。

这让我很恼火……

当我听到人们
将人文学科视为一条较小的道路,

作为较容易的道路时。

来吧!

人文学科
为我们提供了世界的背景。

他们教我们如何批判性地思考。

它们是有意非结构化的,

而科学
是有意结构化的。

他们教我们说服,
他们给我们我们的语言

,我们用它来将我们的情绪转化
为思想和行动。

他们需要
与科学处于平等地位。

是的,你可以雇佣一群艺术家

并建立一家科技公司,

并取得令人难以置信的成果。

现在,我今天不是
来告诉你 STEM 不好。

我今天不是
来告诉你女孩不应该编码的。

(笑声)

请。

还有我开车经过的下一座桥

或我们都跳进的下一个电梯——

让我们确保
它后面有一位工程师。

(笑声)

但是陷入这种妄想

,认为我们未来的工作
将由 STEM 主导,

那是愚蠢的。

如果你有朋友、孩子
、亲戚、孙子

、侄女或侄子……

鼓励他们成为他们想成为的
任何人。

(掌声

) 工作就在那里。

那些吵着要 STEM 毕业生的科技 CEO,

你知道他们在招聘什么吗?

谷歌、苹果、脸书。 他们

65%
的空缺工作机会

是非技术性的:

营销人员、设计师、
项目经理、项目经理、

产品经理、律师、人力资源专家、

培训师、教练、卖家、
买家等等。

这些是他们正在招聘的工作。

如果
我们未来的劳动力需要一件事

——我认为我们都可以同意这一点——

那就是多样性。

但这种多样性不应
以性别或种族而告终。

我们需要多元化的背景

和技能,

包括内向的和外向的

、领导者和追随者。

那是我们未来的劳动力。

技术
变得越来越容易和更容易获得的事实

使员工

可以自由地研究他们该死的任何东西。

谢谢你。

(掌声)