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α ޴

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 󼼺
 ι ΰ


SMART ι ΰ

< ش> /<̼> |

Ⱓ
2018-05-25
ePub
뷮
21 M
PC
Ȳ
1, 0, 0
å α׷ ġ ȵǽó?å α׷  ġ
 Ұ
 Ұ
ټ

 Ұ

ϴ 󿡼 ʿ ΰ ι̶,
̴!

ΰ ߴ(Humans are underrated)!- Ϸ ӽũ / ׽ ְ濵

ΰ, ˰, ũ 츮 ϴ ô.
ٷ ̾߸ ι ؾ .
ι <ƹ͵ ƷýŰ غ>Ų.
, ι ʿ Ѵ.


÷ ũ ô뿡 ι 䱸ϴ°
å ڰ 2015⿡ 꽺Forbes Ŀ丮 That Useless Liberal Arts Degree Has Become Techs Hottest Ticket.̶ 翡 ۵Ǿ. 翡 ̾µ, <ιп ο > 鿡 ٰ. å Ͻ 츮  ι ġ Ӱ ǰ ִ 캸鼭, ʾ ű ǰ ִ <÷ ũ ô 21⿡ ι ʿ ϴ> Ѵ. ũ Ŀ ΰ , ι 䱸ǰ ִ. ڴ ι <ΰ ġ ִ >̶ ϸ鼭 ׿  ϰ ִ Բ мѴ.

پ ϴ tech-dominated world̴. ׷ <ΰ> ã´. װ͵ ׵ <ǿ̶ ǥ> ޾ƾ ߴ ι ΰ ̴.

Ϸ ӽũ , ΰ ϰ κ ʹ Ͼ!
׽ CEO Ϸ ӽũElon Musk ֱ <3> 2018 4 14 ڽ ƮͿ ׽ <ڵȭ> Ǽ. Ȯ ؼ Ǽ. ΰ ߴ.(Yes, excessive automation at Tesla was a mistake. To be precise, my mistake. Humans are underrated.) . ΰɰ κ ߻ ̴. ֵ ׽ ̷ ֱ 1 ̿ ְ 13% ϴ ߴ. ׵ ΰ پ Ŷ 븦 Ѹ ޾Ҵ ÷ ũ ۿ Ѷ عߴ ιа ΰ ٽ ѹ ü Ǵ Ȳ ߻ϰ ִ ̴.

, , , STEM ,
ǻ о 뵿α <3ۼƮ> Ұ
ٸ ɵ Ⱓ ƴ 10鿡 <α׷ > Ƕ鼭 , , , ׸ STEM(science, technology, engineering, math ձڸ θ ) ⸦ ߴ. ̱ ڵ п ϸ鼭 ġ ڵ Ʈ 츮 ̷ ã Ŷ ߴ.

2012 5 2016 5 ̱ ϰ 1,010 ڸ  ǻ о߰ â ڸ 5ۼƮ, ٽ 54 1õ Ұߴ. ̴ ٸ о߿ ڸ ξ âǰ ִٴ ̱⵵ ϴ. ǻ о 뵿α 3ۼƮ ä ġ ִ.

ô, <м ƴ ΰ > ߿
츮 <ǵ鸸 м ϰ> Ǿ. 츮 ϻ ڵȭɼ, ٽ Ͷ Ȱ 縷뿡 . ȭ ô뿡 <ʹ ʹ Ȯ > ġ Ѵ. ۾ ɷ ׽Ʈϴ . ΰ < > ߿. Ϳ ǹ̸ ؼ ˰ ȿ ٽ ִ ɷ ʿϴ. װ ΰ ִ. °迡 ùٸ <ΰ Ǵ >ϴ ׸ŭ ߿.

ð, <ι ð> ٶ ˾ƾ Ѵ
ȸ ߿ ȸ ڵ 󸶳 ƴϴ. ִ ߾а ٽ ο 帧 ų ޾Ƶ̱ ϴ  ϸ ϰ ڿ ޾Ƶ̰Բ ϴĴ. ũ <ϴ > ͵ Ѵ. Ͼ ̷ ݴ޺η <ΰ ִ ϵ> ִ.

tech expertise nontechnical insight ʿ,
<̺긮 ڸhybrid job> þ ִ
ũ  ڸ Ƴ 20 ʾҴ ο ȸ ⵵ Ѵ. ֵ ܴ ߽ɺο ̹ ִ Ͱ ְ ִ̾ ϴ ڸnontechnical jobs Ը âǰ ִ. ̵ ̸ ٸ 踦 մbridge-building ϰ ִ ̴. ̺긮 ڸ Ҹ <Ϻ> İ <> ȥ ڸ. ̱ ظ ι  24 ڸ ܳ ִ.

Ʈ ǰ , α׷ ִ ڵ带 Ȱϸ  ִ. κ װ ̷ο ̵ ޾Ƶ ƴϸ , ڵ ϴ ̴. ǰ ؼ ڽ 󸶳 ϰ , ׷ θ ƴ ĺ ξ ʿ ̺긮 ϰ ִ ̶ ִ.

ü ȸ ڸ äϰ, <Ų> η ڰ
270̳ ϰ , Ʈ Ի迡 < > ߰ߴ
å ü ι Ҿ äϴ Ȳ ׷ ϴ , ׵  ϴ Բ 캸 ִ.

, ū ŵΰ ִ <ŸƮ 3 1 ι >, ҷν < ٷ  ǿܷ ι > ߿ Ư ö ڰ , 27 ִ ȸ ׽ŸMorningstar <ä 輱 㹰> ι ڵ ä п ȸ ̸ ҷ Walden Դ. IBM ü ǻ е, ܿ ȸ ڸ ̾, ̽ <ô> â ۰ ߴ.

ŵ <̽> ʱ ٲ Ͼ ֿ Żϰ ִ
濵 Ų η ڸ 270 ϰ , ̱ ߾ ݵ ȸ ǵƼڻFidelity CEO 縦 ƴ϶ < ڴ 1,138̴. ̿ 繫 1,186, 1,145>̴. 濵 ȸ ü Ʈ Ի迡 ߰, <̺, ӹڽ, ê, ׸ ƮͿ ʱ > ó ijиƮ Ʈ ݷMatt Cohler б ߰, Peter Fenton б ö ߴ. ̽ â , , μ õ ϴ ο äϰ ִ. ׵ ̽ ¡ ĵƼ ģ Ͼ Ѵ. ŵ ܰ ̽ϵ <Ʈ ڵ ϴ ġ ִ > ʿ Ѵ.

׵TED.com ȸ Ǵ ι Ҿ翡
׵Ŀ  2017 ʹݸ ص 300 ʴ 3ǿ Ұߴ. ̴ 20Ⱓ ö  󺸴 ׵ α⸦ ִٴ Ŵ. ׷ Ʈ ⿡ ö ִ а 󸶸 κKen Robinson <âǼ> ̴. ڴ ȸɸ ̹ ĿAmy Cuddy ٵ , ׸ η ̸ óSimon Sinek < ڵ ൿ ̲ > ڸ մ´. ̸ İ ι Ҿ翡 ް ð ִ.


׷ٸ, װ͵ 21⿡ ι ϴ°
<Ͻ ι ߽ ҵ鿡 ޷ ִ> ϴ ü þ ִ. ׵ ڵ ϴ ִ ʿ Ѵ. ι Ͻ ó ϻ Թ ߴ ſ ƴϴ. ι ϴ <ǰ ĵ γ ä⺸ٴ> и ش Ѵ. ׷ ¥̰ ¥,  ְ  ҿ,  ̷Ӱ  طο Ǵ <Ȳ мɷ> ⸣ ȴ. ̵ ΰ ȣ, â , ϴ ɷ . ΰ ϰ ΰ ̴ ˰ ִ. ̷ Ѵ.

ι ƹ͵ ƷýŰ , < غ>Ų!
ϰ źź ι ΰ ô뿡 ִ. ڴ ι ִ ɷ ͵ Ŵ´.

ι ,
? ΰ վ ˰ ϰ,
? ȣ Ȳ 踦 ѳ ̸ ˰ ϰ,
? Ϳ ڿ ǹ̸ ؼ ˰ ϸ,
? ǰ ƴ ° γ ä ϰ,
? ε Ǯ ϴ ذ ְ ϸ,
? Ȳ ľϰ м ˰ ϰ,
? ϰ ̿ ⼭ ߰ ߷ ̲ ˰ ϰ,
? Ϳ ˰ ϰ,
? ƶ ˰ ϰ,
? ü ϳ ˰ ϰ,
? 谡 о ϴ ȣϰ 帴 κ Ǵ ̲ ˰ ϰ
? ˰ ε ٰ ˰ Ѵ.


ι , ܵ < > ƴϴ
ű 忡 ÷ б  ϴ ͸δ ϴ. д < ū ׸bigger picture> ִ ο ޷ ִ. 縮 ຸ ̴ ũ ô뿡 ǿ δ ޿ ϰ غŲ. ι 츮 <> غŲ. < ǿ>̶ ǥ ޾ƾ ߴ ι ƴϴ. װ ִ ̴.

ڼҰ

ƮƮ Ρ ڻȰ нƮ ۴Fast Company ڸ ߴ. Bloomberg View ӱڷε Ȱ 1997⿡ κп ǽó ߴ. åδ Merchants of Debt, The Rare Find, Health Against Wealth , ޷Ŀ CEO Į ǿ Perfect Enough Ÿӽ Ʈ ⵵ ߴ. ¡꽺Forbes ڷ Ȱϰ ִ.


1: ι , ΰ ġ ִ

ũ ô, ι ˾ƾ
ι ٸ ȵ鿡
ڵ ϴ
ϰ Ϳ ι Ѵ
ũ , ٸ Ű
ǻ о 뵿α3 ۼƮ Ұ
ᱹ, ι ҵ ø
, غϴ ˷ִ
å


2 : , ǵ鸸 ˰ м ϰ

ɷ, ϰ ϴ ְ ι
踦 ѳ ɷ, <>鸸 <м> ϰ γ
ϴ ɷ, ǥ鿡 巯 ͺ ˾Ƴ ִ
ùٸ ٹ ϴ ɷ, Ȯ ģ Ȳ ¼
Ÿ ľϴ ɷ, ij ð ϰ Ѵ
Ÿο ġ ɷ, ִ


3 : ڵ ε ϴ ϴ

˰ ε , ٰ
ٰ ðھ, 밡 ðھ? ƴϸ ᰡ ?
׷, 츮, , ģа ¥ ̼Ҹ Ѵ
ι Ȳ ľϰ мϴ ˷ش
ũ Ŀ״ 2 ٲپ


4 : ͸δ ȴ, װ ؼǾ߸ ǹ̸ ´

IBM ü ȸ ڸ ä ϱ?
Ϳ ڵ ̿ ϴ
͸δ ȴ, ܼϰ ؼ ־ Ѵ
ιڰ


5 : ι, ǰ γ ä ʴ´

ӿ, ڿ ι
ö ̴ Բ ο ˴
ֽ ̴ ϴ ι ö
ó ijиƮ, ģ Ȳ ӿ ι
ū ŵΰ ִ ŸƮ <3 1> ι
ƽôٽ, ö() 帣 ־.


6 : ȣ Ȳ 踦 ѳ ̸

Ʋ ִ, ¾ ħ ߴ ʴ´
ϰ ̴ ŸƮ
ൿ ű ,
ũ ʷƮ ʿ Ѵ
, ߷ ִ ι ڸ ٸ
濵 Ʈ, ͸ ϳ ȴ
ڿ ġ οϴ 丮ڷ, ҷų ȴ
̵ , ̵ ִ
ȥ ŸƮ
İߵǴ ܱ
ִ 񿵸 о



7 : ι ū ϴ ο ڸ 6

ι ū ϴ ο ڸ
ġ , Ž
Ҽ ̵ , ظ 40 ڸ âǴ
ä , ä μ8 鿩 ٹ
ݸ , ο ڸ ڸ
̳, ̽ ô <ƿ>
Ʈ Ŵ, ε巯 ˾ƾ
ƴ ε ִ
8

: ũ ô, ΰ մ ʷƮ ʿ ϴ١ 269

ټ

  • 10
  • 8
  • 6
  • 4
  • 2

(ѱ 40̳)
侲
Ʈ
 ۼ ۼ õ

ϵ ϴ.