Erik Brynjolfsson: The key to growth? Race with the machines

150,408 views ・ 2013-04-23

TED


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00:00
Translator: Joseph Geni Reviewer: Morton Bast
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Translator: Entela Bodinaku Reviewer: Helena Bedalli
00:12
Growth is not dead.
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Rritja nuk ka vdekur
00:14
(Applause)
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(duartrokitje)
00:16
Let's start the story 120 years ago,
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Le ta fillojme historine 120 vjet me pare,
00:20
when American factories began to electrify their operations,
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kur fabrikat amerikane filluan te punojne me korrent
00:23
igniting the Second Industrial Revolution.
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duke filluar keshtu Revolucionin e Dyte Industrial.
00:27
The amazing thing is
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Gjeja e cuditeshme eshte
00:28
that productivity did not increase in those factories
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qe produktiviteti ne keto fabrika nuk u rrit
00:31
for 30 years. Thirty years.
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per 30 vjet. Tridhjete vjet.
00:34
That's long enough for a generation of managers to retire.
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Eshte kohe e mjaftueshme per te nxjerre ne pension nje gjenerate manaxheresh.
00:37
You see, the first wave of managers
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Vala e pare e manaxhereve
00:40
simply replaced their steam engines with electric motors,
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thjesht zevendesoi motorat me avull me ata elektrike,
00:43
but they didn't redesign the factories to take advantage
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por ata nuk i ridizenjuan fabrikat qe te perfitonin
00:46
of electricity's flexibility.
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nga fleksibiliteti i elektricitetit.
00:48
It fell to the next generation to invent new work processes,
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Iu desh gjenerates se mevoneshme te shpikte procese te reja pune,
00:52
and then productivity soared,
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dhe keshtu ne keto fabrika prodhimi u rrit,
00:55
often doubling or even tripling in those factories.
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e shpesh u dyfishua dhe trefishua.
00:59
Electricity is an example of a general purpose technology,
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Elektriciteti eshte nje shembull i teknologjise me perdorim te pergjitheshem,
01:03
like the steam engine before it.
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sic ishte motori me avull para tij.
01:06
General purpose technologies drive most economic growth,
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Teknologjite me perdorim te pergjithshem shkaktojne rritjen me te madhe ekonomike,
01:09
because they unleash cascades of complementary innovations,
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sepse ato clirojne ujevara shpikjesh qe kane te bejne me te,
01:13
like lightbulbs and, yes, factory redesign.
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sic jane llampat elektrike dhe, po, rindertimi i fabrikave.
01:16
Is there a general purpose technology of our era?
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A ka teknologji me perdorim te pergjithshem ne kohen tone?
01:20
Sure. It's the computer.
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Sigurisht. Eshte kompjuteri.
01:22
But technology alone is not enough.
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Por vetem teknologjia nuk mjafton.
01:25
Technology is not destiny.
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Teknologjia nuk eshte e ardhmja.
01:28
We shape our destiny,
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Ne i japim forme te ardhmes tone,
01:29
and just as the earlier generations of managers
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dhe ashtu si gjeneratat e mepareshme te manaxhereve
01:32
needed to redesign their factories,
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duhet t'i ridizenjonin fabrikat e tyre,
01:34
we're going to need to reinvent our organizations
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ne do te na duhet te rishpikim organizatat tona
01:36
and even our whole economic system.
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dhe madje gjithe sistemin tone ekonomik.
01:39
We're not doing as well at that job as we should be.
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Ne nuk po e bejme kete pune aq mire sa duhet.
01:42
As we'll see in a moment,
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Dhe pas pak do te shikojme ,
01:44
productivity is actually doing all right,
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prodhimi ne fakt nuk eshte dhe aq keq,
01:46
but it has become decoupled from jobs,
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por eshte shkeputur prej punes,
01:50
and the income of the typical worker is stagnating.
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dhe te ardhurat e nje punetori mesatar kane mbetur ne vend.
01:55
These troubles are sometimes misdiagnosed
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Keto probleme nganjehere diagnostikohen gabimisht
01:57
as the end of innovation,
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si fundi i inovacionit,
02:01
but they are actually the growing pains
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por ato aktualisht jane dhimbjet e rritjes
02:03
of what Andrew McAfee and I call the new machine age.
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se asaj qe une dhe Andrew McAfee e quajme periudha e re e makines.
02:09
Let's look at some data.
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Le te shikojme disa te dhena.
02:11
So here's GDP per person in America.
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Ja ku eshte GDP per person ne Amerike.
02:13
There's some bumps along the way, but the big story
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Ka disa luhatje gjate rruges, por perfundimisht
02:16
is you could practically fit a ruler to it.
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ju mund te vini nje vizore paralel me te.
02:19
This is a log scale, so what looks like steady growth
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Ky eshte nje diagram logaritmik, keshtu qe cka duket si rritje e vazhdueshme
02:22
is actually an acceleration in real terms.
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eshte ne fakt nje pershpejtim ne terma reale.
02:25
And here's productivity.
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Dhe ja ku eshte prodhimi.
02:27
You can see a little bit of a slowdown there in the mid-'70s,
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Ju mund te shikoni nje ngadalesim ne mesin e viteve 70-te,
02:30
but it matches up pretty well with the Second Industrial Revolution,
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por ky perkon me Revolucionin e Dyte Industrial,
02:34
when factories were learning how to electrify their operations.
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kur fabrikat po mesonin si te elektrifikonin proceset e tyre.
02:36
After a lag, productivity accelerated again.
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Pas kesaj, prodhimi u rrit perseri.
02:41
So maybe "history doesn't repeat itself,
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Atehere ndoshta "historia nuk perseritet,
02:43
but sometimes it rhymes."
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por nganjehere ben rime".
02:46
Today, productivity is at an all-time high,
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Ne kohet tona, prodhimi eshte me i larte se asnjehere,
02:49
and despite the Great Recession,
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dhe me gjithe Recesionin e Madh,
02:51
it grew faster in the 2000s than it did in the 1990s,
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ai u rrit me shpejt ne vitet 2000 se sa ne vitet 1990,
02:55
the roaring 1990s, and that was faster than the '70s or '80s.
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vitet e arte 1990, dhe ky ishte me i shpejte se ne vitet 70-te apo 80-te.
02:59
It's growing faster than it did during the Second Industrial Revolution.
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Po rritet me shpejt se gjate Revolucionit te dyte Industrial.
03:03
And that's just the United States.
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Dhe po flasim vetem per Shtetet e Bashkuara.
03:05
The global news is even better.
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Te dhenat globale jane edhe me te mira.
03:08
Worldwide incomes have grown at a faster rate
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Ne mbare boten te ardhurat jane rritur me ritme me te shpejta
03:10
in the past decade than ever in history.
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ne dekaden e kaluar sesa ne gjithe historine.
03:13
If anything, all these numbers actually understate our progress,
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Mbi te gjtiha, keta numra aktualisht e minimizojne progresin tone,
03:18
because the new machine age
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sepse periudha e re e makines
03:20
is more about knowledge creation
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ka me shume te beje me krijim te njohurive
03:21
than just physical production.
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sesa thjesht prodhim fizik.
03:24
It's mind not matter, brain not brawn,
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Eshte mendja jo lenda, truri jo ushqimi,
03:27
ideas not things.
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idete dhe jo sendet.
03:29
That creates a problem for standard metrics,
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Kjo krijon problem per metriken standarte,
03:31
because we're getting more and more stuff for free,
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sepse po perfitojme gjithnje e me teper gjera pa para
03:35
like Wikipedia, Google, Skype,
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sic psh: Wikipedia, Google, Skype,
03:37
and if they post it on the web, even this TED Talk.
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dhe nese postohet ne web, edhe kete fjalim te TED.
03:41
Now getting stuff for free is a good thing, right?
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Epo te marresh gjera pa para eshte gje e mire apo jo?
03:44
Sure, of course it is.
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Sigurisht qe eshte.
03:46
But that's not how economists measure GDP.
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Por ekonomistet nuk e masin keshtu GDP.
03:49
Zero price means zero weight in the GDP statistics.
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Cmimi zero do te thote qe dhe pesha eshte zero ne statistikat e GDP.
03:55
According to the numbers, the music industry
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Sipas numrave, industria e muzikes
03:57
is half the size that it was 10 years ago,
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eshte pergjysmuar ne krahasim me 10 vjet me pare,
04:00
but I'm listening to more and better music than ever.
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por une po degjoj me shume muzike dhe me te mire se me pare.
04:04
You know, I bet you are too.
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Dhe ve bast qe keshtu po ndodh dhe per ju.
04:06
In total, my research estimates
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Studimi im parashikon
04:09
that the GDP numbers miss over 300 billion dollars per year
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qe ne te dhenat e GDP nuk perfshihen mbi 300 miliard dollare ne vit qe vijne
04:13
in free goods and services on the Internet.
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nga mallrat pa pagese dhe sherbimet ne Internet.
04:17
Now let's look to the future.
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Tani le t'i hedhim nje sy te ardhmes.
04:19
There are some super smart people
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Ka disa njerez shume te zgjuar
04:21
who are arguing that we've reached the end of growth,
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te cilet argumentojne qe ne kemi arritur fundin e rritjes,
04:26
but to understand the future of growth,
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por per te kuptuar te ardhmen e rritjes,
04:29
we need to make predictions
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ne duhet te bejme parashikime
04:32
about the underlying drivers of growth.
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mbi faktoret e padukshem te rritjes.
04:35
I'm optimistic, because the new machine age
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Une jam optimist, sepse periudha e re e makines
04:39
is digital, exponential and combinatorial.
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eshte dixhitale, eksponenciale dhe e kombinueshme.
04:44
When goods are digital, they can be replicated
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Kur mallrat jane dixhitale, ato mund te shumefishohen
04:47
with perfect quality at nearly zero cost,
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me cilesi perfekte dhe me kosto pothuajse zero,
04:51
and they can be delivered almost instantaneously.
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dhe ato mund te perftohen pothujase menjehere.
04:55
Welcome to the economics of abundance.
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Mireseerdhet ne ekonomine e bollekut.
04:58
But there's a subtler benefit to the digitization of the world.
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Por ka nje benefit me te komplikuar ne dixhitalizimin e botes.
05:02
Measurement is the lifeblood of science and progress.
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Matja eshte arteria kryesore e shkences dhe progresit.
05:06
In the age of big data,
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Ne periudhen e te dhenave te medha,
05:08
we can measure the world in ways we never could before.
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ne mund ta matim boten me menyra qe me pare ishte e pamundur.
05:13
Secondly, the new machine age is exponential.
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Se dyti, periudha e makines se re eshte eksponenciale.
05:17
Computers get better faster than anything else ever.
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Kompjuterat permiresohen me shpejt se cdo gje tjeter.
05:23
A child's Playstation today is more powerful
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Ne ditet tona nje Playstation eshte me i fuqishem
05:26
than a military supercomputer from 1996.
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se sa nje super kompjuter ushtarak i vitit 1996.
05:30
But our brains are wired for a linear world.
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Por truri yne eshte i ndertuar te funksionoje ne nje bote lineare.
05:33
As a result, exponential trends take us by surprise.
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Si rezultat, trendet eksponenciale na kapin ne befasi.
05:37
I used to teach my students that there are some things,
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Une u mesoja studenteve te mi se ka disa gjera te cilat
05:40
you know, computers just aren't good at,
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kompjuterat nuk i bejne mire,
05:42
like driving a car through traffic.
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si psh t'i japesh makines ne trafik.
05:44
(Laughter)
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(te qeshura)
05:46
That's right, here's Andy and me grinning like madmen
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Po vertete, ja ku jemi une dhe Andy duke buzeqeshur si te cmendur
05:50
because we just rode down Route 101
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sepse ne sapo erdhem nga Route 101
05:52
in, yes, a driverless car.
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ne nje makine pa shofer, po po.
05:56
Thirdly, the new machine age is combinatorial.
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Se treti, periudha e re e makines eshte e kombinueshme.
05:58
The stagnationist view is that ideas get used up,
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Sipas pikepamjes stanjacioniste, idete harxhohen,
06:02
like low-hanging fruit,
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si frutat ne deget e poshtme,
06:04
but the reality is that each innovation
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por ne realitet cdo inovacion
06:07
creates building blocks for even more innovations.
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krijon bazen per edhe me shume inovacione.
06:11
Here's an example. In just a matter of a few weeks,
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Ja nje shembull. Ne pak jave,
06:14
an undergraduate student of mine
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nje student i imi i universitetit
06:16
built an app that ultimately reached 1.3 million users.
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ndertoi nje Aplikim qe tani ka 1.3 milion perdorues.
06:20
He was able to do that so easily
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Ai ishte ne gjendje ta bente kete kaq kollaj
06:22
because he built it on top of Facebook,
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sepse e ndertoi mbi Facebook,
06:24
and Facebook was built on top of the web,
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dhe Facebook eshte ndertuar mbi web-in,
06:26
and that was built on top of the Internet,
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i cili eshte ndertuar mbi Internet-in,
06:27
and so on and so forth.
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dhe keshtu me radhe.
06:30
Now individually, digital, exponential and combinatorial
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Tani individualisht, dixhitali, eksponenciali dhe kombinueshmeria
06:35
would each be game-changers.
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do te ishin lojtare me vete.
06:37
Put them together, and we're seeing a wave
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Me bashkimin e tyre ne po shohim nje vale
06:39
of astonishing breakthroughs,
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zbulimesh te cuditshme,
06:41
like robots that do factory work or run as fast as a cheetah
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si robotet qe bejne pune ne fabrika ose vrapojne aq shpejt sa edhe nje cita
06:44
or leap tall buildings in a single bound.
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ose kercejne nga ndertesa te larta me nje hedhje.
06:46
You know, robots are even revolutionizing
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Madje robotet po revolucionarizojne edhe
06:49
cat transportation.
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transportin e maceve.
06:50
(Laughter)
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(te qeshura)
06:53
But perhaps the most important invention,
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Por ndoshta inovacioni me i rendesishem,
06:55
the most important invention is machine learning.
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inovacioni me i rendesishem eshte te mesuarit e makines.
07:00
Consider one project: IBM's Watson.
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Kini parasysh nje projekt: Watson i IBM-se.
07:04
These little dots here,
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Keto pikat e vogla ketu,
07:05
those are all the champions on the quiz show "Jeopardy."
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jane te gjithe kampionet e shfaqjes televizive "Jeopardy".
07:10
At first, Watson wasn't very good,
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Ne fillim, Watson nuk ishte shume i mire,
07:13
but it improved at a rate faster than any human could,
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por ai u permiresua me shpejt sec mund te permiresohet nje njeri,
07:18
and shortly after Dave Ferrucci showed this chart
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dhe pak pasi Dave Ferrucci ia tregoi kete tabele
07:21
to my class at MIT,
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klases time tek MIT,
07:23
Watson beat the world "Jeopardy" champion.
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Watson e mundi kampionin e botes ne "Jeopardy".
07:26
At age seven, Watson is still kind of in its childhood.
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Ne moshen 7 vjec, Watson eshte akoma ne femijerine e tij.
07:30
Recently, its teachers let it surf the Internet unsupervised.
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Se fundmi, mesuesit e tij e lane te punonte ne Internet pa supervizion.
07:36
The next day, it started answering questions with profanities.
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Diten tjeter, ai filloi t'u pergjigjej pyetjeve me fjale te pasjellshme.
07:42
Damn. (Laughter)
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Dreqi. (te qeshura)
07:44
But you know, Watson is growing up fast.
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Por Watson po rritet shpejt.
07:46
It's being tested for jobs in call centers, and it's getting them.
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Po testohet per te punuar ne call centers dhe po pranohet.
07:50
It's applying for legal, banking and medical jobs,
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Po aplikon per pune qe kane te bejne me ligjin, sistemin bankar dhe shendetesine
07:54
and getting some of them.
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dhe po pranohet ne disa prej tyre.
07:56
Isn't it ironic that at the very moment
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Nuk eshte ironike qe tamam ne momentin
07:58
we are building intelligent machines,
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kur ne po ndertojme makina inteligjente,
08:00
perhaps the most important invention in human history,
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ndoshta inovacioni me i rendesishem ne historine e njerezimit,
08:04
some people are arguing that innovation is stagnating?
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disa njerez thone qe inovacioni ka mbetur ne vend?
08:08
Like the first two industrial revolutions,
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Ashtu si edhe dy revolucionet industriale,
08:10
the full implications of the new machine age
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implikimet e plota te periudhes se re te makines
08:13
are going to take at least a century to fully play out,
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do ta kene impaktin e tyre pas nje shekulli,
08:16
but they are staggering.
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por ato po lekunden.
08:19
So does that mean we have nothing to worry about?
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A do te thote kjo qe ne nuk duhet te shqetesohemi per asgje?
08:22
No. Technology is not destiny.
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Jo. Teknologjia nuk eshte e ardhmja.
08:26
Productivity is at an all time high,
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Prodhimi eshte ne shkallen me te larte te te gjtiha koherave,
08:28
but fewer people now have jobs.
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por me pak njerez jane te punesuar.
08:31
We have created more wealth in the past decade than ever,
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Ne kemi krijuar me shume se kurre pasuri ne dekaden e kaluar,
08:35
but for a majority of Americans, their income has fallen.
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por per shumicen e Amerikaneve, rroga eshte ulur.
08:38
This is the great decoupling
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Kjo eshte shkeputja e madhe
08:41
of productivity from employment,
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e prodhimit nga punesimi,
08:44
of wealth from work.
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e pasurise nga puna.
08:47
You know, it's not surprising that millions of people
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E dini qe nuk eshte cudi qe miliona njerez
08:49
have become disillusioned by the great decoupling,
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jane zhgenjyer nga shkeputja e madhe,
08:52
but like too many others,
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por si shume te tjere,
08:54
they misunderstand its basic causes.
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ata i keqkuptojne shkaqet baze te saj.
08:57
Technology is racing ahead,
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Teknologjia po ecen perpara,
09:00
but it's leaving more and more people behind.
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por po le shume e shume njerez prapa.
09:03
Today, we can take a routine job,
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Ne ditet e sotme, ne mund te marrim nje pune rutine,
09:07
codify it in a set of machine-readable instructions,
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ta kodifikojme ne nje grup instruksionesh qe mund te lexohen nga makina,
09:10
and then replicate it a million times.
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dhe ta shumefishojme nje milion here.
09:12
You know, I recently overheard a conversation
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Kohet e fundit degjova nja bisede
09:15
that epitomizes these new economics.
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1952
qe i epitomizon keto koncepte te reja ekonomike.
09:17
This guy says, "Nah, I don't use H&R Block anymore.
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Njeri thote: Jo, une nuk shkoj me tek H&R Block.
09:21
TurboTax does everything that my tax preparer did,
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TurboTax ben cdo gje qe bente pergatitesi im i taksave,
09:23
but it's faster, cheaper and more accurate."
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por eshte me e shpejte, me e lire dhe me e sakte".
09:28
How can a skilled worker
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A mund te krahasohet nje punonjes i specializuar
09:30
compete with a $39 piece of software?
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me nje software qe kushton $39?
09:33
She can't.
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Nuk mundet.
09:35
Today, millions of Americans do have faster,
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Sot, miliona Amerikane bejne
09:37
cheaper, more accurate tax preparation,
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pergatitje taksash me te lire, me te shpejte dhe me te sakte,
09:40
and the founders of Intuit
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dhe themeluesit e Intuit
09:41
have done very well for themselves.
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ja kane dale mbane shume mire per veten e tyre.
09:44
But 17 percent of tax preparers no longer have jobs.
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Por 17 per qind e pergatitesve te taksave jane pa pune.
09:48
That is a microcosm of what's happening,
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Kjo eshte nje mikrobote e asaj qe po ndodh,
09:50
not just in software and services, but in media and music,
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jo vetem ne software dhe sherbime, por edhe ne media dhe muzike,
09:55
in finance and manufacturing, in retailing and trade --
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finance dhe prodhim, dyqane dhe tregeti,
09:59
in short, in every industry.
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shkurt ne cdo industri.
10:02
People are racing against the machine,
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Njerezit po bejne gare me makinen,
10:05
and many of them are losing that race.
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dhe shume prej tyre po e humbasin kete gare.
10:09
What can we do to create shared prosperity?
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Cfare mund te bejme qe ta ndajme prosperitetin?
10:12
The answer is not to try to slow down technology.
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Pergjigja ime eshte jo te perpiqemi te ngadalesojme teknologjine.
10:15
Instead of racing against the machine,
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Ne vend qe te bejme gare kunder makines,
10:18
we need to learn to race with the machine.
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ne duhet te mesojme te bejme gare me makinen.
10:22
That is our grand challenge.
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Kjo eshte sfida jone e madhe.
10:25
The new machine age
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Periudha e re e makines
10:27
can be dated to a day 15 years ago
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filloi nje dite rreth 15 vjet me pare
10:30
when Garry Kasparov, the world chess champion,
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kur Gary Kasparov, kampioni boteror i shahut,
10:33
played Deep Blue, a supercomputer.
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luajti me Deep Blue, nje super kompjuter.
10:37
The machine won that day,
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2012
Makina fitoi ate dite,
10:39
and today, a chess program running on a cell phone
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dhe sot, programi i shahut ne celular
10:42
can beat a human grandmaster.
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e mund nje njeri qe eshte mjeshter.
10:44
It got so bad that, when he was asked
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Vajti aq keq sa kur e pyeten
10:48
what strategy he would use against a computer,
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cfare strategjie do te perdorte kundra nje kompiuteri,
10:50
Jan Donner, the Dutch grandmaster, replied,
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Jan Donner, Mjeshtri i madh Hollandez, u pergjigj,
10:54
"I'd bring a hammer."
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"Do te sillja nje cekic"
10:56
(Laughter)
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(te qeshura)
11:00
But today a computer is no longer the world chess champion.
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Por sot nje kompiuter nuk eshte me kampioni boteror i shahut.
11:04
Neither is a human,
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Nuk eshte as njeriu,
11:07
because Kasparov organized a freestyle tournament
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sepse Kasparovi organizoi nje tournament me stil te lire
11:10
where teams of humans and computers
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ku skuadra me njerez dhe kompiutera
11:12
could work together,
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mund te punonin se bashku,
11:14
and the winning team had no grandmaster,
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dhe skuadra fituese nuk kishte as mjeshter te madh
11:17
and it had no supercomputer.
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as superkompjuter.
11:20
What they had was better teamwork,
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Ata bene nje pune te mire ne skuader,
11:24
and they showed that a team of humans and computers,
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dhe treguan se nje skuader njerezish dhe kompjuterash,
11:29
working together, could beat any computer
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duke punuar se bashku, mund ta mundin cdo kompjuter
11:32
or any human working alone.
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ose cdo njeri qe punon vetem.
11:36
Racing with the machine
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Te besh gare bashke me makinen
11:37
beats racing against the machine.
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eshte me mire se te besh gare kunder makines.
11:40
Technology is not destiny.
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Teknologjia nuk eshte e ardhmja.
11:42
We shape our destiny.
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Ne i japim forme te ardhmes tone.
11:44
Thank you.
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Faleminderit.
11:45
(Applause)
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(Duartrokitje)
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