Will automation take away all our jobs? | David Autor

503,980 views ・ 2017-02-06

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00:00
Translator: Joseph Geni Reviewer: Joanna Pietrulewicz
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譯者: 易帆 余 審譯者: yue chen
00:13
Here's a startling fact:
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有一個驚人的事實:
00:15
in the 45 years since the introduction of the automated teller machine,
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45 年前,自從引進自動提款機,
00:18
those vending machines that dispense cash,
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就是那些會吐鈔票的販賣機,
00:21
the number of human bank tellers employed in the United States
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美國銀行櫃台的從業人數
00:24
has roughly doubled,
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增加了將近一倍,
00:26
from about a quarter of a million to a half a million.
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從 25 萬人增加到 50 萬人。
00:29
A quarter of a million in 1970 to about a half a million today,
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從 1970 年的 25 萬人 成長到今日的 50 萬人,
00:32
with 100,000 added since the year 2000.
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其中 10 萬人, 是 2000 年以後增加出來的。
00:36
These facts, revealed in a recent book
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這些事實,都詳細記載在 最近的一本書上,
00:39
by Boston University economist James Bessen,
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作者是波斯頓大學的 經濟學家,詹姆士貝森,
00:42
raise an intriguing question:
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他提出了一個有趣的問題:
00:44
what are all those tellers doing,
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那麼多的銀行櫃台人員都在做什麼,
00:46
and why hasn't automation eliminated their employment by now?
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為什麼自動化服務 到現在還沒有讓他們失業?
00:50
If you think about it,
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回想一下,
00:51
many of the great inventions of the last 200 years
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過去 200 年來的偉大發明,
00:55
were designed to replace human labor.
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很多都是為了取代人力的。
00:58
Tractors were developed
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拖拉機的發明,
01:00
to substitute mechanical power for human physical toil.
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就是為了利用機械的動力 取代辛苦的人工勞力。
01:04
Assembly lines were engineered
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工廠的組裝線,
01:07
to replace inconsistent human handiwork
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就是為了利用機械的穩定性,
01:10
with machine perfection.
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取代手工的不穩定性。
01:12
Computers were programmed to swap out
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電腦程式化就是為了 以完美無缺的數位計算能力
01:15
error-prone, inconsistent human calculation
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取代人力計算時易出錯、 不一致的現象。
01:18
with digital perfection.
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01:20
These inventions have worked.
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這些發明都發揮了作用。
01:22
We no longer dig ditches by hand,
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我們再也不用徒手挖溝渠,
01:25
pound tools out of wrought iron
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不用手工鍛鐵製作工具,
01:27
or do bookkeeping using actual books.
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甚至記帳都不用實體帳本了。
01:30
And yet, the fraction of US adults employed in the labor market
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但美國成年人的勞工市場就業率
01:35
is higher now in 2016
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在現在 2016 年
竟比 125 年前的 1890 年還要高。
01:37
than it was 125 years ago, in 1890,
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01:40
and it's risen in just about every decade
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而且在這 125 年間,
01:43
in the intervening 125 years.
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每 10 年都有成長。
01:46
This poses a paradox.
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這產生了一個矛盾現象。
01:48
Our machines increasingly do our work for us.
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機械不斷地取代掉我們的工作,
01:51
Why doesn't this make our labor redundant and our skills obsolete?
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但為什麼我們的勞工沒有過剩 且技術沒有被淘汰呢?
01:56
Why are there still so many jobs?
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為什麼還是有那麼多的工作岡位?
01:59
(Laughter)
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(笑聲)
02:01
I'm going to try to answer that question tonight,
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今晚,我會試著回答這些問題,
02:03
and along the way, I'm going to tell you what this means for the future of work
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並說明這對我們未來的工作 有甚麼意義,
02:07
and the challenges that automation does and does not pose
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以及自動化對我們社會
02:11
for our society.
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所帶來的衝擊和無法撼動的地方。
02:14
Why are there so many jobs?
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為什麼有這麼多的工作崗位?
02:17
There are actually two fundamental economic principles at stake.
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這實際上涉及到兩個 經濟學的基本原則。
02:21
One has to do with human genius
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一個是與人類的聰明才智
02:23
and creativity.
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及創造力有關。
02:25
The other has to do with human insatiability,
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另一個與人類貪得無厭的天性有關,
02:28
or greed, if you like.
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或者你可以叫它做「貪婪」。
02:29
I'm going to call the first of these the O-ring principle,
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我先從 O 型環原則談起,
02:32
and it determines the type of work that we do.
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這個原則決定了我們工作的類型。
02:34
The second principle is the never-get-enough principle,
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第二個原則是 「永不知足 」原則,
02:37
and it determines how many jobs there actually are.
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它決定了會有多少個 實際存在的工作崗位。
02:41
Let's start with the O-ring.
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我們先從 O 型環開始。
02:43
ATMs, automated teller machines,
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ATM,自動提款機,
02:46
had two countervailing effects on bank teller employment.
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它給銀行櫃台人員的就業機會 帶來了兩種不同的作用。
02:49
As you would expect, they replaced a lot of teller tasks.
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各位都知道,ATM 取代了很多 櫃台人員的工作。
02:52
The number of tellers per branch fell by about a third.
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每家分行的櫃台人員 數量大約減少了三分之一。
02:56
But banks quickly discovered that it also was cheaper to open new branches,
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但很快銀行就發現 設置新分行的成本變便宜了。
03:00
and the number of bank branches increased by about 40 percent
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同期內,分行的數量 成長了將近 40% 。
03:03
in the same time period.
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03:04
The net result was more branches and more tellers.
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結果就是,分行越多, 櫃台人員越多。
03:09
But those tellers were doing somewhat different work.
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但這些銀行職員做的工作 與之前有點不同。
03:12
As their routine, cash-handling tasks receded,
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隨著他們常規的現金業務減少,
03:16
they became less like checkout clerks
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他們變得不太像出納人員
03:18
and more like salespeople,
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反而更像是個推銷人員,
03:20
forging relationships with customers,
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需要與客戶培養感情,
03:22
solving problems
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幫他們解決問題,
03:23
and introducing them to new products like credit cards, loans and investments:
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並推銷他們新產品, 像是信用卡、貸款、投資型產品:
03:28
more tellers doing a more cognitively demanding job.
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更多的銀行職員從事著 對腦力認知需求很高的工作。
03:32
There's a general principle here.
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一個普遍的原則就是,
03:35
Most of the work that we do
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我們從事的工作,
03:36
requires a multiplicity of skills,
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大都需要多樣化的技能,
03:41
and brains and brawn,
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既要腦力又要體力,
03:44
technical expertise and intuitive mastery,
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既要求專業素養又要敏銳的直覺,
03:48
perspiration and inspiration in the words of Thomas Edison.
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用愛迪生的話來說, 就是天才加勤奮。
03:51
In general, automating some subset of those tasks
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總的來說,其中一些工作自動化了,
03:54
doesn't make the other ones unnecessary.
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但不代表其它的工作就不必要。
03:57
In fact, it makes them more important.
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事實上,反而變得更重要,
04:01
It increases their economic value.
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自動化反而增加了他們的經濟價值。
04:03
Let me give you a stark example.
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我來舉一個明顯的例子。
04:05
In 1986, the space shuttle Challenger
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1986 年,挑戰者號太空船
04:08
exploded and crashed back down to Earth
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在起飛不到兩分鐘, 失事爆炸,墜毀在地表上。
04:11
less than two minutes after takeoff.
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04:13
The cause of that crash, it turned out,
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事後發現,肇事的原因,
04:16
was an inexpensive rubber O-ring in the booster rocket
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原來是推進火箭上 一個不起眼的 O 型環,
04:20
that had frozen on the launchpad the night before
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前一天晚上在發射台上凍僵了,
04:23
and failed catastrophically moments after takeoff.
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在發射不久後失效,引發了悲劇。
04:26
In this multibillion dollar enterprise
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這個耗資十幾億美金的巨大工程,
04:29
that simple rubber O-ring
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結果是一個不起眼的 O 型環,
04:31
made the difference between mission success
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決定了是發射成功,
04:33
and the calamitous death of seven astronauts.
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還是失敗造成 七位太空人的死亡悲劇。
04:37
An ingenious metaphor for this tragic setting
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這場悲劇催生了一個巧妙的比喻──
04:41
is the O-ring production function,
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《O 型環經濟理論》,
04:43
named by Harvard economist Michael Kremer
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由哈佛經濟學家麥可克雷姆
04:46
after the Challenger disaster.
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在挑戰者號失事後所命名。
04:48
The O-ring production function conceives of the work
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《O型環經濟理論》指出, 一項工作的誕生
04:50
as a series of interlocking steps,
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是由一系列互相連結的步驟
所組成的鏈,
04:53
links in a chain.
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04:54
Every one of those links must hold for the mission to succeed.
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每一處連結都必須牢固 才能保證任務的成功。
04:58
If any of them fails,
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一旦有任何環節出問題,
05:00
the mission, or the product or the service,
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該任務、產品或服務
05:03
comes crashing down.
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就會失敗。
05:05
This precarious situation has a surprisingly positive implication,
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這種不確定的緊張情況, 有著一種令人驚嘆的積極影響,
05:10
which is that improvements
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因為它可以改善
05:12
in the reliability of any one link in the chain
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過程中任一環節的可靠性,
05:15
increases the value of improving any of the other links.
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並對其它環節的改善, 起了價值增加的作用。
05:19
Concretely, if most of the links are brittle and prone to breakage,
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具體來說,如果大多數的連結 都很脆弱且很容易壞,
05:24
the fact that your link is not that reliable
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那麼每個環節的可靠與否,
05:26
is not that important.
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就顯得不那麼重要了。
05:28
Probably something else will break anyway.
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反正很有可能其它的東西也會壞掉。
05:30
But as all the other links become robust and reliable,
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但一旦其它的環節 變得相形穩固可靠時,
05:34
the importance of your link becomes more essential.
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每一個環節就變得很重要了。
05:37
In the limit, everything depends upon it.
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到了一個極限, 每一個環節都是勝敗的關鍵。
05:40
The reason the O-ring was critical to space shuttle Challenger
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O 型環對挑戰者號很重要的原因,
05:44
is because everything else worked perfectly.
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是因為其它環節都運作地很完美。
05:47
If the Challenger were kind of the space era equivalent
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如果挑戰者號的太空設備
05:50
of Microsoft Windows 2000 --
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類似 Widows 2000 作業系統──
05:52
(Laughter)
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(笑聲)
05:54
the reliability of the O-ring wouldn't have mattered
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O 型環的可靠性就不那麼重要了,
05:57
because the machine would have crashed.
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因為機械會直接當機。
05:59
(Laughter)
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(笑聲)
06:01
Here's the broader point.
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這裡有個更宏觀的觀點,
06:03
In much of the work that we do, we are the O-rings.
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人類所扮演的角色就像 O 型環。
06:07
Yes, ATMs could do certain cash-handling tasks
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沒錯,ATM 是可以 作一些現金交易的任務,
06:10
faster and better than tellers,
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速度也比櫃台人員快,
06:14
but that didn't make tellers superfluous.
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但卻無法完全取代櫃台人員。
06:16
It increased the importance of their problem-solving skills
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因為他們的問題解決能力,
06:19
and their relationships with customers.
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及他們維持客戶關係的能力, 增加了他們的重要性。
06:22
The same principle applies if we're building a building,
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同樣的原則也適用於蓋房子、
06:25
if we're diagnosing and caring for a patient,
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診斷及照顧病人、
06:27
or if we are teaching a class
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或者在教室裡
06:31
to a roomful of high schoolers.
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向一整間的高中生教課。
06:33
As our tools improve,
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一旦我們的工具改進了,
06:35
technology magnifies our leverage
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科技反而放大了我們的引響力,
06:38
and increases the importance of our expertise
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提高了我們專業度、
06:42
and our judgment and our creativity.
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判斷力及創造力的重要性。
06:45
And that brings me to the second principle:
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講到這,帶出了第二原則:
06:48
never get enough.
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永不知足。
06:50
You may be thinking, OK, O-ring, got it,
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你可能會想,好, O 型環理論,我懂了,
06:52
that says the jobs that people do will be important.
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人類所從事的工作將會很重要。
06:55
They can't be done by machines, but they still need to be done.
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這些任務無法由機械完成, 但又不能不做。
06:58
But that doesn't tell me how many jobs there will need to be.
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但這無法說明我們還需要多少工作。
07:01
If you think about it, isn't it kind of self-evident
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如果你仔細想想, 這有點無法自圓其說,
一旦我們對某樣東西 有了足夠的生產力,
07:04
that once we get sufficiently productive at something,
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我們基本上不就會自動失業了嗎?
07:06
we've basically worked our way out of a job?
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07:08
In 1900, 40 percent of all US employment
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1900 年,40% 的美國就業人口,
07:11
was on farms.
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從事的工作都是農業。
07:13
Today, it's less than two percent.
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如今,農業人口比例已經少於 2%。
07:15
Why are there so few farmers today?
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為什麼農夫會變得這麼少?
07:17
It's not because we're eating less.
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不是因為我們吃得少。
07:19
(Laughter)
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(笑聲)
07:22
A century of productivity growth in farming
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百年來農業生產力的成長,
07:24
means that now, a couple of million farmers
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讓我們現在只需數百萬個農夫,
07:27
can feed a nation of 320 million.
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就能養活全國的 3.2 億人口。
07:29
That's amazing progress,
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這真的是個很大的進步,
07:31
but it also means there are only so many O-ring jobs left in farming.
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但這也意味著農產業中, 也只剩這麼多類似 O 型環的工作。
07:35
So clearly, technology can eliminate jobs.
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所以很明顯地, 科技會消彌掉工作機會。
07:38
Farming is only one example.
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農業只是其中一個案例。
07:40
There are many others like it.
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還有很多類似的案例。
07:43
But what's true about a single product or service or industry
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但事實是,一個單一產品、 服務或產業的表現,
07:47
has never been true about the economy as a whole.
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不能代表總體經濟的實質表現。
07:50
Many of the industries in which we now work --
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很多我們現在從事的產業──
07:52
health and medicine,
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健康、醫療、
07:54
finance and insurance,
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理財、保險、
07:57
electronics and computing --
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電子、電腦──
07:59
were tiny or barely existent a century ago.
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在上一世紀僅有少數人在從業 或根本還不存在。
08:02
Many of the products that we spend a lot of our money on --
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很多我們花很多錢消費的產品──
08:05
air conditioners, sport utility vehicles,
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空調、休旅車、
08:07
computers and mobile devices --
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電腦、手機設備──
08:09
were unattainably expensive,
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這些在上一世紀,不是貴得要死,
08:10
or just hadn't been invented a century ago.
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不然就是還沒有被發明出來。
08:13
As automation frees our time, increases the scope of what is possible,
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當自動化騰出了我們的空閒時間, 增進了各個領域的可能性,
08:18
we invent new products, new ideas, new services
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我們就會發明新產品、 新想法、產生新的服務,
08:22
that command our attention,
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來控制我們的注意力、
08:23
occupy our time
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占據我們的時間,
08:25
and spur consumption.
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並刺激消費。
08:27
You may think some of these things are frivolous --
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你可能會想有些東西 真的是多餘的──
08:31
extreme yoga, adventure tourism,
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極限瑜珈、冒險旅遊、
08:33
Pokémon GO --
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口袋怪獸──
08:35
and I might agree with you.
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我都同意。
08:36
But people desire these things, and they're willing to work hard for them.
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但人們就是喜歡這些東西, 而且很願意在它們身上付出心力。
08:40
The average worker in 2015
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2015 年的一般勞動階層,
08:42
wanting to attain the average living standard in 1915
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如果想獲得 1915 年的 一般生活水準,
08:46
could do so by working just 17 weeks a year,
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只要每年工作 17 周就可達到,
08:50
one third of the time.
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只要三分之一的時間。
08:52
But most people don't choose to do that.
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但大部分的人不會那樣做。
08:54
They are willing to work hard
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他們寧願選擇努力工作
08:56
to harvest the technological bounty that is available to them.
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來賺取科技所帶給他們的精神食糧。
09:00
Material abundance has never eliminated perceived scarcity.
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豐富的物質永遠 消除不了內心的空虛。
09:04
In the words of economist Thorstein Veblen,
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套一句經濟學家 托斯丹范伯倫說的話:
09:07
invention is the mother of necessity.
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「發明是需求之母。 」
09:11
Now ...
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現在……
09:13
So if you accept these two principles,
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如果你同意上述的兩個觀點,
09:15
the O-ring principle and the never-get-enough principle,
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O 型環原則以及永不知足原則,
09:18
then you agree with me.
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那你就會認同我說的,
09:19
There will be jobs.
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一定會有工作岡位產生。
09:21
Does that mean there's nothing to worry about?
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那是否意味著都不用煩惱了呢?
09:23
Automation, employment, robots and jobs --
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自動化、就業機會、 機器人和工作──
09:26
it'll all take care of itself?
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它們自己會自動幫我們安排好?
09:29
No.
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不。
09:30
That is not my argument.
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這不是我的論點。
09:32
Automation creates wealth
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自動化為我們帶來了財富,
09:35
by allowing us to do more work in less time.
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讓我們可以用 更少的時間做更多的事。
09:37
There is no economic law
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沒有經濟規則說,
09:39
that says that we will use that wealth well,
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我們會好好地善用 自動化所帶來的財富,
09:42
and that is worth worrying about.
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這的確值得我們擔心。
09:44
Consider two countries,
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想想這兩個國家,
09:46
Norway and Saudi Arabia.
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挪威和沙烏地阿拉伯。
09:48
Both oil-rich nations,
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兩個國家都有豐盛的石油,
09:50
it's like they have money spurting out of a hole in the ground.
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他們的錢好像是直接從 地底下的洞口噴上來的。
09:54
(Laughter)
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(笑聲)
09:55
But they haven't used that wealth equally well to foster human prosperity,
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但兩個國家利用這筆財富 幫助人民繁榮、
10:00
human prospering.
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幫助人民成功的方式卻不相同。
10:02
Norway is a thriving democracy.
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挪威是個欣欣向榮的民主國家。
10:05
By and large, its citizens work and play well together.
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總體而言,它的人民都過很舒服。
10:08
It's typically numbered between first and fourth
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國家人民的幸福指數排名,
10:11
in rankings of national happiness.
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基本上都在第一到第四之間徘徊。
10:14
Saudi Arabia is an absolute monarchy
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而沙烏地阿拉伯卻是個 君主專制的國家,
10:17
in which many citizens lack a path for personal advancement.
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很多人民的生活水平, 都沒有機會可以獲得改善。
10:21
It's typically ranked 35th among nations in happiness,
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國家人民的幸福指數, 全球排名基本上都落在 35 名左右,
10:24
which is low for such a wealthy nation.
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這麼有錢的國家,排名竟這麼落後。
10:26
Just by way of comparison,
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只是讓大家比較一下,
10:28
the US is typically ranked around 12th or 13th.
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美國大都排在第 12 到第 13 之間。
10:31
The difference between these two countries
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這兩個國家的差別
10:33
is not their wealth
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不在他們有錢與否,
10:34
and it's not their technology.
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也不在科技是否發達。
10:36
It's their institutions.
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而是他們的制度。
10:38
Norway has invested to build a society
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挪威長期來致力於
建立一個充滿機會 與經濟活躍的社會。
10:41
with opportunity and economic mobility.
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10:45
Saudi Arabia has raised living standards
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雖然沙烏地阿拉伯的 生活水平已經有提升,
10:47
while frustrating many other human strivings.
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但人民仍飽受壓抑。
10:50
Two countries, both wealthy,
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兩個國家都很有錢,
10:53
not equally well off.
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但人民卻有著不同的幸福。
10:55
And this brings me to the challenge that we face today,
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接下來,我要來談談 我們目前所面臨的挑戰,
11:00
the challenge that automation poses for us.
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自動化給我們所帶來的挑戰。
11:02
The challenge is not that we're running out of work.
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這挑戰不是因為我們會沒有工作。
11:04
The US has added 14 million jobs
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美國自金融海嘯以來,
11:06
since the depths of the Great Recession.
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已經增加了 1400 萬個就業機會。
11:09
The challenge is that many of those jobs
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我們的挑戰是,這些工作
11:11
are not good jobs,
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都不是好工作,
11:12
and many citizens cannot qualify for the good jobs
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因為很多人都不適任
目前已經創造出來的工作。
11:16
that are being created.
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1200
11:17
Employment growth in the United States and in much of the developed world
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美國以及其它 已開發國家的就業環境,
11:21
looks something like a barbell
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現在看起來像是個啞鈴,
11:22
with increasing poundage on either end of the bar.
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兩端都特別重。
11:26
On the one hand,
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其中一端,
11:27
you have high-education, high-wage jobs
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這群人受高等教育、有高薪工作,
11:30
like doctors and nurses, programmers and engineers,
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像是醫生、護士、 程式設計師、工程師,
11:33
marketing and sales managers.
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市場及銷售經理。
11:35
Employment is robust in these jobs, employment growth.
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這些工作的就業機會相當穩固, 就業機會會持續成長。
11:38
Similarly, employment growth is robust in many low-skill,
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同樣地,低技術工作的 就業機會成長也很穩固,
11:42
low-education jobs like food service,
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低學歷工作像是餐廳服務生、
11:45
cleaning, security,
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清潔、保全人員、
11:48
home health aids.
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居家健康照顧。
11:50
Simultaneously, employment is shrinking
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同時,有些就業機會也會萎縮:
11:53
in many middle-education, middle-wage, middle-class jobs,
256
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中等教育、中等收入、 中產階級的工作,
11:57
like blue-collar production and operative positions
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像是藍領階級的 生產工人及操作人員,
12:01
and white-collar clerical and sales positions.
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白領階級的文書及銷售人員。
12:04
The reasons behind this contracting middle
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這當中的背後原因
12:06
are not mysterious.
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也不是甚麼多深奧的道理。
12:07
Many of those middle-skill jobs
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1976
很多這種中等技術的工作、
12:09
use well-understood rules and procedures
262
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2496
只要充分了解規則及步驟流程
12:12
that can increasingly be codified in software
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漸漸地都會被軟體
12:15
and executed by computers.
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及電腦所取代。
12:18
The challenge that this phenomenon creates,
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3376
這樣的挑戰造就了一些現象,
12:21
what economists call employment polarization,
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也就是經濟學家所稱的 「就業兩極化」,
12:24
is that it knocks out rungs in the economic ladder,
267
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中間層的工作機會
12:26
shrinks the size of the middle class
268
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1816
以及中產階級都會逐漸消失,
12:28
and threatens to make us a more stratified society.
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並造成我們的社會更階級化。
12:31
On the one hand, a set of highly paid, highly educated professionals
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一邊是高薪、 受高等教育的專業人士,
12:35
doing interesting work,
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做的是有趣的工作,
12:37
on the other, a large number of citizens in low-paid jobs
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3416
而另一邊,大部分的公民 從事低薪的工作,
12:40
whose primary responsibility is to see to the comfort and health of the affluent.
273
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他們只盼望舒適、 健康富裕的日子能趕緊到來。
12:46
That is not my vision of progress,
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這不是我希望的進步,
12:48
and I doubt that it is yours.
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1880
我認為這也不是你們希望的。
12:51
But here is some encouraging news.
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2016
但還是有一些令人振奮的好消息。
12:53
We have faced equally momentous economic transformations in the past,
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4856
我們過去面臨相當大的經濟轉型,
12:58
and we have come through them successfully.
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而且我們都成功克服過來了。
13:01
In the late 1800s and early 1900s,
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4936
在 19 世紀末,20 世紀初,
13:06
when automation was eliminating vast numbers of agricultural jobs --
280
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4536
當自動化取代掉 大部分的農場工作──
13:10
remember that tractor? --
281
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還記得拖拉機嗎?
13:12
the farm states faced a threat of mass unemployment,
282
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2696
以農業為主的州 面臨了大量的失業威脅,
13:15
a generation of youth no longer needed on the farm
283
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農場不再需要年輕世代的人,
13:19
but not prepared for industry.
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1760
但這些年輕人還沒準備好 工業化即將帶來的衝擊。
13:22
Rising to this challenge,
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為了克服挑戰,
13:23
they took the radical step
286
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1496
政府做了一個重大的改革,
13:25
of requiring that their entire youth population
287
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要求這些年輕人
13:28
remain in school and continue their education
288
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在 16 歲長大成人後 繼續留在學校接受教育。
13:30
to the ripe old age of 16.
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2120
13:33
This was called the high school movement,
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這就是美國的高中教育改革運動,
13:35
and it was a radically expensive thing to do.
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2816
這的確很花錢。
13:38
Not only did they have to invest in the schools,
292
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因為這些孩子不僅要投入學校,
13:40
but those kids couldn't work at their jobs.
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2696
而且還不能工作。
13:43
It also turned out to be one of the best investments
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3296
但最後證明,這是美國在 20 世紀
13:46
the US made in the 20th century.
295
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2216
做得最好的投資政策之一。
13:49
It gave us the most skilled, the most flexible
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2336
它讓我們學習到全世界 最新、最靈活、
13:51
and the most productive workforce in the world.
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2696
最有生產力的技術。
13:54
To see how well this worked, imagine taking the labor force of 1899
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如果要看這些變革所帶來的好處, 我們可以想像一下,
把 1899 年的勞工運動
13:58
and bringing them into the present.
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2216
帶回到目前的現實世界。
14:00
Despite their strong backs and good characters,
300
840880
2936
儘管這些人背部強壯,品格也很好,
14:03
many of them would lack the basic literacy and numeracy skills
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3776
但他們缺乏基本的識字與算數能力,
14:07
to do all but the most mundane jobs.
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2936
只能做最平凡的工作。
14:10
Many of them would be unemployable.
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2240
很多人都不夠格上工。
14:13
What this example highlights is the primacy of our institutions,
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3736
這個案例是要說明我們卓越的機構,
14:17
most especially our schools,
305
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1776
特別是我們的學校,
14:19
in allowing us to reap the harvest
306
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2536
讓我們獲取了
14:21
of our technological prosperity.
307
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2296
科技繁榮所帶來的成果。
14:24
It's foolish to say there's nothing to worry about.
308
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2416
所以說不用擔心是騙人的。
14:26
Clearly we can get this wrong.
309
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2200
我們千萬別誤會了。
14:29
If the US had not invested in its schools and in its skills
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3496
如果美國政府在一世紀前的 高中教育改革運動中,
14:33
a century ago with the high school movement,
311
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2256
沒有投資學校、沒有投資技術,
14:35
we would be a less prosperous,
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我們可能不會這麼繁榮、便利,
14:37
a less mobile and probably a lot less happy society.
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社會的幸福感可能也會大大地減少。
14:40
But it's equally foolish to say that our fates are sealed.
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2736
但說我們就是命中注定, 這樣說的人也沒多聰明,
14:43
That's not decided by the machines.
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1696
我們的命運並不是由機械決定,
14:45
It's not even decided by the market.
316
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1736
也不是由市場決定。
14:47
It's decided by us and by our institutions.
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這取決於我們自己及我們的機構。
14:50
Now, I started this talk with a paradox.
318
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2576
我一開始就提到一個矛盾的現象。
14:52
Our machines increasingly do our work for us.
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2656
機械不斷地取代掉我們的工作,
14:55
Why doesn't that make our labor superfluous,
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但為什麼我們的勞工沒有過剩,
14:57
our skills redundant?
321
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技術沒有被淘汰掉?
14:59
Isn't it obvious that the road to our economic and social hell
322
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這很明顯啊!我們偉大的發明,
15:02
is paved with our own great inventions?
323
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2200
不就是害我們的經濟與 社會進入地獄之路的元兇嗎?
15:06
History has repeatedly offered an answer to that paradox.
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4176
歷史已經重複地為我們解答 這個矛盾現象好幾次了。
15:10
The first part of the answer is that technology magnifies our leverage,
325
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3616
答案的第一個部分就是: 科技放大了我們存在的重要性,
15:13
increases the importance, the added value
326
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2616
增進了我們的價值,
15:16
of our expertise, our judgment and our creativity.
327
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3536
使我們的專業、判斷與 創造力更佳地提升。
15:20
That's the O-ring.
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1200
這是 O 型環法則。
15:21
The second part of the answer is our endless inventiveness
329
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2736
答案的第二部分就是:
我們永無止境的發明 以及無窮的慾望。
15:24
and bottomless desires
330
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1456
15:26
means that we never get enough, never get enough.
331
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2336
意思就是我們 永遠不知足、永不知足。
15:28
There's always new work to do.
332
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2160
總是有新事物要做。
15:31
Adjusting to the rapid pace of technological change
333
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3336
適應快速的科技變化
創造出了真實的挑戰,
15:35
creates real challenges,
334
935320
1456
15:36
seen most clearly in our polarized labor market
335
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2976
最明顯地就是我們勞動市場的兩極化,
15:39
and the threat that it poses to economic mobility.
336
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2520
以及它為經濟活躍度所帶來的威脅。
15:43
Rising to this challenge is not automatic.
337
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這些挑戰不會自動地被克服。
15:46
It's not costless.
338
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1496
它不便宜,
15:47
It's not easy.
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也不容易。
15:49
But it is feasible.
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但,是可以預見的。
15:51
And here is some encouraging news.
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這裡有一些好消息,
15:52
Because of our amazing productivity,
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因為我們驚人的生產力,
15:55
we're rich.
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我們變富有了。
15:56
Of course we can afford to invest in ourselves and in our children
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當然我們已經負擔的起 投資我們自己、我們孩子的費用,
15:59
as America did a hundred years ago with the high school movement.
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就像美國一百年前的 高中教育改革運動一樣。
16:02
Arguably, we can't afford not to.
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嚴格來講,我們付不起不做的代價。
16:06
Now, you may be thinking,
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你可能在想,
16:07
Professor Autor has told us a heartwarming tale
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奧圖教授已經告訴了我們一個
16:10
about the distant past,
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有關於好幾年前、
16:12
the recent past,
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最近幾年,
16:14
maybe the present, but probably not the future.
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可能是現在, 但不是未來的動人故事。
16:17
Because everybody knows that this time is different.
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因為大家都知道這次不一樣了。
16:21
Right? Is this time different?
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對吧?這次會不一樣嗎?
16:24
Of course this time is different.
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當然不一樣。
16:26
Every time is different.
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每次都不一樣。
16:27
On numerous occasions in the last 200 years,
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過去 200 年,在無數場合中,
16:31
scholars and activists have raised the alarm
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學者與社會運動者不斷地警告我們,
16:34
that we are running out of work and making ourselves obsolete:
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工作要消失了, 我們會被我們自己給淘汰掉:
16:37
for example, the Luddites in the early 1800s;
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例如,19 世紀初的盧德份子 (英國參加搗毀機器的人);
16:42
US Secretary of Labor James Davis
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1920 年代中期的美國勞工部長
16:45
in the mid-1920s;
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詹姆士戴維斯;
16:47
Nobel Prize-winning economist Wassily Leontief in 1982;
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1982 年諾貝爾經濟學家, 瓦西里·列昂季耶夫;
16:53
and of course, many scholars,
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當然,還有很多學者、
16:56
pundits, technologists
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評論員、科學家
16:58
and media figures today.
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還有今日的媒體名嘴。
17:01
These predictions strike me as arrogant.
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這些人的預測 在我看來似乎都很狂妄。
17:05
These self-proclaimed oracles are in effect saying,
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這些自稱聖賢的人, 像是在告訴我們,
17:08
"If I can't think of what people will do for work in the future,
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「如果我都想像不到 人們未來可以做什麼工作,
17:11
then you, me and our kids
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那麼,你、我、我們的小孩
17:14
aren't going to think of it either."
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也都不會想像到。」
17:17
I don't have the guts
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我沒膽在公眾面前 對人類的聰明才智
17:19
to take that bet against human ingenuity.
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提出太多的質疑。
17:22
Look, I can't tell you what people are going to do for work
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聽著,我無法告訴你一百年後
17:25
a hundred years from now.
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人們要做什麼工作。
17:27
But the future doesn't hinge on my imagination.
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因為未來不是我說了算。
17:31
If I were a farmer in Iowa in the year 1900,
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如果我是 1900 年 愛荷華州的農夫,
17:35
and an economist from the 21st century teleported down to my field
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如果有一位 21 世紀的經濟學家 瞬間移動來到我的農場,
17:38
and said, "Hey, guess what, farmer Autor,
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跟我說:「嘿, 奧圖農夫,你知道嗎?
17:42
in the next hundred years,
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接下來的 100 年,
17:43
agricultural employment is going to fall from 40 percent of all jobs
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農業的從業人員 將從 40% 減少到剩 2%,
17:47
to two percent
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17:48
purely due to rising productivity.
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只因為生產力提升了。
17:51
What do you think the other 38 percent of workers are going to do?"
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你覺得剩下 38% 的人 將來會做什麼工作? 」
17:55
I would not have said, "Oh, we got this.
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我不可能會說: 「喔,我們早就知道了,
17:58
We'll do app development, radiological medicine,
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我們會開發 app 軟體、 放射性藥物、
18:01
yoga instruction, Bitmoji."
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瑜珈課程、手機表情符號 Bitmoji。」
18:04
(Laughter)
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(笑聲)
18:05
I wouldn't have had a clue.
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我根本不會知道的。
18:07
But I hope I would have had the wisdom to say,
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但我希望我可以智慧地說出,
18:10
"Wow, a 95 percent reduction in farm employment
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「哇,少了 95% 的農場工人,
18:14
with no shortage of food.
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卻沒有造成食物短缺,
18:16
That's an amazing amount of progress.
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真的是一大進步啊!
18:19
I hope that humanity finds something remarkable to do
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我希望人類繁榮富有後,
18:22
with all of that prosperity."
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能找到更有意義的事來做。」
18:25
And by and large, I would say that it has.
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總體而言,我會說那是一定要的。
18:29
Thank you very much.
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非常感謝各位。
18:31
(Applause)
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(掌聲)
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