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์–‘๊ทนํ™”์— ๋น ์ง„ ๋ฐฑํ™”์  ์—…๊ณ„, ์„œ์šธ ๋งค์ถœ ๊ณ ๊ณต ํ–‰์ง„ํ•  ๋•Œ ์ง€๋ฐฉ์€ ์ค„ํ์—…

์–‘๊ทนํ™”์— ๋น ์ง„ ๋ฐฑํ™”์  ์—…๊ณ„, ์„œ์šธ ๋งค์ถœ ๊ณ ๊ณต ํ–‰์ง„ํ•  ๋•Œ ์ง€๋ฐฉ์€ ์ค„ํ์—…
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๋ฏธ๋””์–ด์˜ ์˜ํ–ฅ๋ ฅ์„ ๋ฌด๊ฒ๊ฒŒ ์ธ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฆฌํ•œ ์‹œ๊ฐ๊ณผ ๋ถ„์„๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ๊ณต์ •ํ•˜๊ณ  ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์ •๋ณด๋งŒ์„ ์ „๋‹ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

์˜จ๋ผ์ธ์— ๋ฐ€๋ฆฌ๊ณ  ์ธ๊ตฌ ์ค„์–ด๋“ค๊ณ , ์ง€๋ฐฉ ์œ ํ†ต์—…๊ณ„ ๋ˆˆ๋ฌผ
์ „๊ตญ์„œ ์„œ์šธ๋งŒ 10%๋Œ€ ์„ฑ์žฅ๋ฅ , ์ง€๋ฐฉ์„  ์—…์ข… ๋ณ€๊ฒฝ ์›€์ง์ž„
์„œ์šธ ์™ธ ์ ํฌ ์‹ค์  ๋ถ€์ง„, F&B ๊ฐ•ํ™” ๋ฐ ๋ช…ํ’ˆ ์œ ์น˜์— ์†๋„
Seoul department TE 001 20240729

์ง€๋ฐฉ ์œ ํ†ต์‚ฐ์—…์ด ๋ฌด๋„ˆ์ง€๊ณ  ์žˆ๋‹ค. ๋ฐฑํ™”์  ์—…๊ณ„๋ฅผ ์ค‘์‹ฌ์œผ๋กœ โ€˜๋นˆ์ต๋นˆ ๋ถ€์ต๋ถ€โ€™ ํ˜„์ƒ์ด ์‹ฌํ™”๋ฉด์„œ๋‹ค. ์ฝ”๋กœ๋‚˜19 ํŒฌ๋ฐ๋ฏน์œผ๋กœ ๋‹ซํ˜”๋˜ ํ•˜๋Š˜๊ธธ์ด ์—ด๋ฆฌ๊ณ  ์™ธ๊ตญ์ธ ๊ด€๊ด‘๊ฐ๋“ค์ด ๋Œ€๊ฑฐ ์œ ์ž…๋˜๋ฉด์„œ ์ˆ˜๋„๊ถŒ์˜ ์ฃผ์š” ๋ฐฑํ™”์ ์€ ์—ฐ์ผ ๋งค์ถœ ์‹ ๊ธฐ๋ก์„ ๊ฐˆ์•„์น˜์šฐ๋Š” ๋ฐ˜๋ฉด ์ง€๋ฐฉ ์†Œ์žฌ ๋ฐฑํ™”์ ์€ ๋งค์ถœ ๋ถ€์ง„์œผ๋กœ ์—…์ข…์„ ๋ฐ”๊พธ๊ฑฐ๋‚˜ ํ์ ํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ์†์ถœํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ์œ ํ†ต ์ธํ”„๋ผ๊ฐ€ ๋ฌด๋„ˆ์ง€๋ฉด ์ง€์—ญ ๊ณ ์šฉ๊ณผ ๊ด€๋ จ ์‚ฐ์—…๊นŒ์ง€ ์ค„์ค„์ด ์‡ ํ‡ดํ•จ์— ๋”ฐ๋ผ ์ง€๋ฐฉ ์†Œ๋ฉธ์ด ๊ฐ€์†ํ™”ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์šฐ๋ ค๊ฐ€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค.

์ง€๋ฐฉ ๋ฐฑํ™”์ , ๋„์‚ฐ ์œ„๊ธฐ

29์ผ ์œ ํ†ต์—…๊ณ„์— ๋”ฐ๋ฅด๋ฉด ์ตœ๊ทผ ๋กฏ๋ฐ๋ฐฑํ™”์ ์€ ๊ด‘์ฃผ์ ์˜ ์‚ฌ์—…์„ฑ ์ ๊ฒ€์— ๋“ค์–ด๊ฐ”๋‹ค. ํ•œ๋•Œ โ€˜์ง€์—ญ 1๋“ฑ ๋ฐฑํ™”์ โ€™์œผ๋กœ ์Šน์Šน์žฅ๊ตฌํ–ˆ์ง€๋งŒ ์‹ ์„ธ๊ณ„๋ฐฑํ™”์ ์— 1๋“ฑ ์ž๋ฆฌ๋ฅผ ๋‚ด์ค€ ์ดํ›„ ์—ฐ๋งค์ถœ์ด ๊ณ„์† ์ค„์–ด๋“ค๋”๋‹ˆ ์ง€๋‚œํ•ด(2,977์–ต์›)์—” 3,000์–ต์› ๋ฐ‘์œผ๋กœ ๋–จ์–ด์กŒ๋‹ค. ๋กฏ๋ฐ๋ฐฑํ™”์ ์€ ์ง€๋‚œ๋‹ฌ ๋น„์Šทํ•œ ์ด์œ ๋กœ ๋งˆ์‚ฐ์ ๋„ ๋‹ซ์•˜๋‹ค. ์ „๊ตญ 32๊ฐœ ๋กฏ๋ฐ๋ฐฑํ™”์  ์ ํฌ ์ค‘ ๋งค์ถœ ์ตœํ•˜์œ„๊ถŒ์ด๋˜ ๋งˆ์‚ฐ์ ์„ ๋งค์žฅ ์ž„์ฐจ ์ข…๋ฃŒ ์‹œ์ ์— ๋งž์ถฐ ๊ฒฐ๊ตญ ๋ฌธ์„ ๋‹ซ๊ธฐ๋กœ ํ•œ ๊ฒƒ์ด๋‹ค.

์ฃผ์š” ์ง€๋ฐฉ ๋Œ€๋„์‹œ ๋ฐฑํ™”์ ๋„ ๋งค์ถœ ๋ถ€์ง„ ์ƒํ™ฉ์—์„œ ์˜ˆ์™ธ๋Š” ์•„๋‹ˆ๋‹ค. ๋ถ€์‚ฐ์ง„๊ตฌ ์ „ํฌ๋™์— ์žˆ๋Š” NC๋ฐฑํ™”์  ์„œ๋ฉด์ ๋„ ์ด๋‹ฌ ์˜์—…์ข…๋ฃŒ๋ฅผ ์•ž๋‘๊ณ  ์žˆ๋‹ค. 1995๋…„ ๊ฐœ์ ํ•ด 30๋…„ ๊ฐ€๊นŒ์ด ๋ถ€์‚ฐ๊ด‘์—ญ์‹œ ๋™๊ตฌ ๋ฒ”์ผ๋™์—์„œ ๋ช…๋งฅ์„ ์œ ์ง€ํ•ด ์˜จ ํ˜„๋Œ€๋ฐฑํ™”์  ๋ถ€์‚ฐ์ ๋„ ์‚ฌ์‹ค์ƒ ์˜์—… ์ข…๋ฃŒ์— ๋“ค์–ด๊ฐ„ ์ƒํƒœ๋‹ค. ๋‹ค๋งŒ ํ˜„๋Œ€๋ฐฑํ™”์  ๋ถ€์‚ฐ์ ์„ ์ฒ ์ˆ˜ ๋Œ€์‹  ๋Œ€๋Œ€์  ๋ฆฌ๋‰ด์–ผ์„ ๊ฑฐ์นœ ๋’ค, 9์›” ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ๋ณตํ•ฉ์‡ผํ•‘๋ชฐ์ธ โ€˜์ปค๋„ฅํŠธํ˜„๋Œ€ ๋ถ€์‚ฐโ€™์œผ๋กœ ์žฌ๊ฐœ์žฅํ•  ๊ณ„ํš์ด๋‹ค.

์Šˆํผ๋งˆ์ผ“ ๋“ฑ ์†Œ๊ทœ๋ชจ ์œ ํ†ต์—…์ฒด์˜ ์‚ฌ์ •์€ ๋” ์‹ฌ๊ฐํ•˜๋‹ค. ๊ตญ์„ธ์ฒญ์— ๋”ฐ๋ฅด๋ฉด ์˜ฌํ•ด 4์›” ๊ธฐ์ค€ ์„œ์šธ ์™ธ ์ง€์—ญ์— ์žˆ๋Š” ์Šˆํผ๋งˆ์ผ“์€ 2๋งŒ3,723๊ฐœ๋กœ 5๋…„ ์ „(2๋งŒ6,016๊ฐœ)๋ณด๋‹ค 2,293๊ฐœ ์ค„์—ˆ๋‹ค. ์ด๋“ค ์‚ฌ๋ก€๋Š” ์ง€๋ฐฉ ์œ ํ†ต๊ฐ€์˜ ํ˜„์‹ค์„ ์••์ถ•์ ์œผ๋กœ ๋ณด์—ฌ์ค€๋‹ค. ์ง€์—ญ ๊ฒฝ๊ธฐ ์นจ์ฒด์™€ ์ธ๊ตฌ ๊ฐ์†Œ๋กœ ์ธํ•ด ๋งค์ถœ์€ ์ค„์–ด๋“œ๋Š”๋ฐ ์ด๋งˆ์ €๋„ ์ด์ปค๋จธ์Šค์˜ ๊ณต์„ธ์— ๋ฐ€๋ฆฌ๊ณ  ์žˆ์–ด์„œ๋‹ค.

ํŠนํžˆ ์ƒˆ๋ฒฝ๋ฐฐ์†ก ๊ถŒ์—ญ์„ ๋น ๋ฅด๊ฒŒ ๋„“ํ˜€๊ฐ€๋Š” ์ฟ ํŒก, ์ปฌ๋ฆฌ ๋“ฑ์€ ์ง€๋ฐฉ ์œ ํ†ต์‚ฐ์—…์„ ์œ„ํ˜‘ํ•˜๋Š” ์ฃผ์š”์ธ์œผ๋กœ ๊ผฝํžŒ๋‹ค. ์ฟ ํŒก์€ 3๋…„๊ฐ„ 3์กฐ์› ์ด์ƒ์„ ํˆฌ์ž…ํ•ด โ€˜์ฟ ์„ธ๊ถŒโ€™(์ฟ ํŒก ๋กœ์ผ“๋ฐฐ์†ก ๊ฐ€๋Šฅ ์ง€์—ญ)์„ ๋„์„œ์‚ฐ๊ฐ„ ๋“ฑ์œผ๋กœ ํ™•๋Œ€ํ•˜๊ธฐ๋กœ ํ–ˆ๊ณ , ์ปฌ๋ฆฌ๋„ ์ง€๋‚œํ•ด ๊ฒฝ๋‚จ ์ฐฝ์›๊ณผ ๊ฒฝ๊ธฐ ํ‰ํƒ์— ๋ฌผ๋ฅ˜์„ผํ„ฐ๋ฅผ ์ง“๊ณ  ์ƒˆ๋ฒฝ๋ฐฐ์†ก ํ™•์žฅ์— ๋‚˜์„ฐ๋‹ค. ์˜ฌ 2์›”์—๋Š” ๊ตญ๋‚ด ์ƒˆ๋ฒฝ๋ฐฐ์†ก ์„œ๋น„์Šค ๊ธฐ์—… ์ค‘ ์ตœ์ดˆ๋กœ ๊ฒฝ๋ถ ๊ฒฝ์ฃผ์™€ ํฌํ•ญ์—๋„ ์ง„์ถœํ–ˆ๋‹ค.

Seoul department TE 002 20240729
์‹ ์„ธ๊ณ„๋ฐฑํ™”์  ๊ฐ•๋‚จ์  ์ „๊ฒฝ/์‚ฌ์ง„=์‹ ์„ธ๊ณ„๋ฐฑํ™”์ 

์„œ์šธ์€ ์›ƒ๊ณ  ์ง€๋ฐฉ์€ ์šธ๊ณ , ๋ฐฑํ™”์  โ€˜๋นˆ์ต๋นˆ ๋ถ€์ต๋ถ€โ€™ ์‹ฌํ™”

์ด๋ ‡๋‹ค ๋ณด๋‹ˆ ์ตœ๊ทผ ์ˆ˜์ต์„ฑ ๊ฐœ์„ ์— ๋‚˜์„  ์œ ํ†ต ๋Œ€๊ธฐ์—…๋“ค์€ ํ™•์‹คํ•œ ์ง€์—ญ 1์œ„ ๋งค์žฅ์ด ์•„๋‹ˆ๋ฉด ์ˆ˜์š”๊ฐ€ ํ™•์‹คํžˆ ๋ณด์žฅ๋œ ์ˆ˜๋„๊ถŒ์— โ€˜์„ ํƒ๊ณผ ์ง‘์ค‘โ€™์„ ํ•˜๊ณ  ์žˆ๋‹ค. ์ˆ˜๋„๊ถŒ๊ณผ ๋น„์ˆ˜๋„๊ถŒ์˜ ์œ ํ†ต ์–‘๊ทนํ™”๊ฐ€ ๊ฐ€์†ํ™”ํ•˜๊ณ  ์žˆ๋Š” ์…ˆ์ด๋‹ค. ์‹ค์ œ๋กœ ์„œ์šธ ๋„์‹ฌ ํ•œ๋ณตํŒ์— ์ž๋ฆฌํ•œ ์ฃผ์š” ๋ฐฑํ™”์ ์€ ๋ช…ํ’ˆ ๋งค์žฅ๊ณผ ๊ฐ์ข… ํŒ์—…์Šคํ† ์–ด ์ธ๊ธฐ ๋“ฑ์— ํž˜์ž…์–ด ์—ฐ์ผ ๋งค์ถœ ์‹ ๊ธฐ๋ก์„ ๊ฒฝ์‹ ํ•˜๊ณ  ์žˆ๋‹ค.

์‹ ์„ธ๊ณ„๋ฐฑํ™”์  ๊ฐ•๋‚จ์ ์€ ์ด๋ฏธ ์ง€๋‚œํ•ด 12์›” ๋ง ๋ฐฑํ™”์  ๋‹จ์ผ์ ํฌ ์ตœ์ดˆ๋กœ ์—ฐ๋งค์ถœ 3์กฐ์› ๋ŒํŒŒ ์‹ ๊ธฐ๋ก์„ ์ผ๋‹ค. ๋กฏ๋ฐ๋ฐฑํ™”์  ์ž ์‹ค์ ๋„ ์ง€๋‚œํ•ด 2์กฐ6,000์–ต์›์˜ ๋งค์ถœ์„ ์˜ฌ๋ ธ๊ณ , ์˜ฌํ•ด ์ด๋ณ€์ด ์—†๋Š” ํ•œ ์—ฐ๋งค์ถœ 3์กฐ์› ๋ŒํŒŒ๊ฐ€ ์œ ๋ ฅํ•˜๋‹ค. ๋กฏ๋ฐ๋ฐฑํ™”์  ๋ณธ์  ๋˜ํ•œ ์ง€๋‚œํ•ด 2์กฐ์› ๊ฐ€๊นŒ์ด ๋งค์ถœ์„ ์ฐ์—ˆ๊ณ , ํ˜„๋Œ€๋ฐฑํ™”์  ์—ญ์‹œ ์—ฌ์˜๋„ โ€˜๋”ํ˜„๋Œ€ ์„œ์šธโ€™์ด ์ง€๋‚œํ•ด ์˜คํ”ˆ 2๋…„ 9๊ฐœ์›” ๋งŒ์— ์—ฐ๋งค์ถœ 1์กฐ์›์„ ๋ŒํŒŒ, ๊ตญ๋‚ด ๋ฐฑํ™”์  ์ค‘ ์ตœ๋‹จ๊ธฐ๊ฐ„ 1์กฐ์›์˜ ๋งค์ถœ ์‹ ๊ธฐ๋ก์„ ์„ธ์› ๋‹ค.

ํ†ต๊ณ„์ฒญ์ด ๋ฐœํ‘œํ•œ ๊ฐ ์‹œ๋„๋ณ„ ๋ฐฑํ™”์  ํŒ๋งค์•ก ์ถ”์ด๋ฅผ ๋ณด๋”๋ผ๋„, ์ง€์—ญ ๊ฐ„ ๊ฒฉ์ฐจ๋Š” ๋‚ ์ด ๊ฐˆ์ˆ˜๋ก ์ปค์ง€๊ณ  ์žˆ๋‹ค. 2020๋…„ 11์กฐ9,694์–ต์›์ด๋˜ ์„œ์šธ ๋ฐฑํ™”์  ํŒ๋งค์•ก ๊ทœ๋ชจ๋Š” 3๋…„ ๋งŒ์ธ ์ง€๋‚œํ•ด 18์กฐ6,189์–ต์›๋Œ€๊นŒ์ง€ ๊ธ‰์ฆํ–ˆ๋‹ค. ์กฐ์‚ฌ ๋Œ€์ƒ ์ „๊ตญ 8๊ฐœ ์‹œยท๋„ ๊ฐ€์šด๋ฐ ์„œ์šธ๋งŒ ์œ ์ผํ•˜๊ฒŒ 10%๋Œ€ ์„ฑ์žฅ๋ฅ (12.3%)์„ ๊ธฐ๋กํ•œ ๊ฒƒ์ด๋‹ค. ๋˜ ์„œ์šธ ์™ธ 7๊ฐœ ์‹œยท๋„ ์ง€์—ญ(๊ฒฝ๊ธฐยท๋ถ€์‚ฐยท๋Œ€๊ตฌยท๊ด‘์ฃผยท๋Œ€์ „ยท์šธ์‚ฐยท๊ฒฝ๋‚จ) ํŒ๋งค์•ก(19์กฐ7,067์–ต์›)์„ ๋ชจ๋‘ ํ•ฉ์ณ์•ผ๋งŒ ์„œ์šธ ๋ฐฑํ™”์  ํŒ๋งค์•ก์„ ๋„˜๊ธธ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์‚ฐ๋๋‹ค.

์ง€์—ญ๋ณ„ ๋ฐฑํ™”์  ํŒ๋งค์•ก์„ ๋ณด๋ฉด, ๊ทธ๋‚˜๋งˆ ์ œ2์˜ ์ˆ˜๋„์ธ ๋ถ€์‚ฐ๊ด‘์—ญ์‹œ์˜ ํŒ๋งค์•ก ๊ทœ๋ชจ๊ฐ€ ์ „๋…„ ๋Œ€๋น„ 8% ๋›ฐ๋ฉด์„œ ์ฒด๋ฉด์น˜๋ ˆ๋ฅผ ํ–ˆ๊ณ , ์ˆ˜๋„๊ถŒ์ธ ๊ฒฝ๊ธฐ๋„๋„ 6% ์„ฑ์žฅ์„ธ๋ฅผ ๋ณด์˜€๋‹ค. ๋ฐ˜๋ฉด ํ˜ธ๋‚จ๊ถŒ ์ตœ๋Œ€ ๋„์‹œ์ธ ๊ด‘์ฃผ๊ด‘์—ญ์‹œ์˜ ๋ฐฑํ™”์  ํŒ๋งค์•ก ๊ทœ๋ชจ๋Š” 1์กฐ852์–ต์›์œผ๋กœ 1๋…„ ์ „(1์กฐ986์–ต์›)๋ณด๋‹ค 1.2% ๊ฐ์†Œํ–ˆ๋‹ค. ๋Œ€์ „๊ด‘์—ญ์‹œ์˜ ๋ฐฑํ™”์  ํŒ๋งค์•ก(1์กฐ9,466์–ต์›)๋„ ์ „๋…„ ๋Œ€๋น„ 2.3% ์„ฑ์žฅํ•˜๋Š” ๋ฐ ๊ทธ์ณค๋‹ค. ๋Œ€ํ•œ์ƒ๊ณตํšŒ์˜์†Œ๊ฐ€ ์กฐ์‚ฌํ•œ ๋ฐ”์— ๋”ฐ๋ฅด๋ฉด ๊ตญ๋‚ด ๋ฐฑํ™”์  ์‹œ์žฅ์€ ์ƒ์œ„ 10๊ฐœ ์ ํฌ ๋งค์ถœ์ด ์ „์ฒด์˜ 45%๋ฅผ ์ฐจ์ง€ํ•˜๋Š” ๋ฐ˜๋ฉด, ํ•˜์œ„ 10๊ฐœ ์ ํฌ ๋งค์ถœ์€ ์ „์ฒด ์—…๊ณ„ ๋งค์ถœ์˜ 3.5% ์ˆ˜์ค€์— ๋ถˆ๊ณผํ•œ ๊ฒƒ์œผ๋กœ ํŒŒ์•…๋๋‹ค.

์ง€๋ฐฉ ์ ํฌ ๋ฆฌ๋‰ด์–ผ์— ์ง‘์ค‘

์ด์— ๊ตญ๋‚ด ๋ฐฑํ™”์ ์—…๊ณ„๋Š” ์„œ์šธ ์™ธ ์ง€์—ญ ์ ํฌ ๊ฒฝ์Ÿ๋ ฅ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•ด ๋ฆฌ๋‰ด์–ผ์— ์†๋„๋ฅผ ๋‚ด๊ณ  ์žˆ๋‹ค. ๋กฏ๋ฐ๋ฐฑํ™”์ ์€ ์ง€๋‚œํ•ด 11์›” ์ •์ค€ํ˜ธ ๋Œ€ํ‘œ ์ง์† โ€˜์ค‘์†Œํ˜•์  ํ™œ์„ฑํ™” ํƒœ์Šคํฌํฌ์Šค(TF)โ€™ ์กฐ์ง์„ ์‹ ์„คํ•˜๊ณ  ๋Œ€๊ตฌ์ , ์šธ์‚ฐ์ , ํฌํ•ญ์  ๋“ฑ ์ง€๋ฐฉ 10๊ฐœ ์ ํฌ ํ™œ์„ฑํ™” ์ „๋žต์„ ์ถ”์ง„ํ•˜๊ณ  ์žˆ๋‹ค. ์ง€๋ฐฉ ์ค‘์†Œํ˜• ์ ํฌ์— ์‹ ๊ทœ ๋ธŒ๋žœ๋“œ๋ฅผ ์œ ์น˜ํ•˜๊ณ  ์ฒดํ—˜ํ˜• ์ฝ˜ํ…์ธ  ๊ฐ•ํ™” ๋“ฑ์„ ํ†ตํ•ด ์ ํฌ ๊ฒฝ์Ÿ๋ ฅ ํ‚ค์šฐ๊ฒ ๋‹ค๋Š” ๊ตฌ์ƒ์ด๋‹ค.

๋กฏ๋ฐ๋ฐฑํ™”์ ๊ณผ ๋กฏ๋ฐ๋งˆํŠธ ๋“ฑ์„ ์ด๊ด„ํ•˜๋Š” ๋กฏ๋ฐ์‡ผํ•‘์˜ ๊น€์ƒํ˜„ ๋ถ€ํšŒ์žฅ๋„ ์ตœ๊ทผ ์—ด๋ฆฐ ์ฃผ์ฃผ์ดํšŒ์—์„œ โ€œ๋ฐฑํ™”์  ๋น„ํšจ์œจ ์ ํฌ ๋ฆฌํฌ์ง€์…”๋‹(์žฌ์กฐ์ •)์„ ๊ฒ€ํ† ํ•˜๊ฒ ๋‹คโ€๊ณ  ๋ฐํžŒ ๋ฐ” ์žˆ๋‹ค. ๋Œ€ํ‘œ์ ์ธ ๋ฆฌ๋‰ด์–ผ ์ ํฌ๋Š” ์ˆ˜์›์ ์ด๋‹ค. ๋กฏ๋ฐ๋ฐฑํ™”์ ์€ 2014๋…„ ๊ฐœ์ ํ•œ ์ˆ˜์›์ ์„ 10๋…„ ๋งŒ์— ์˜ฌํ•ด ๋Œ€๋Œ€์ ์œผ๋กœ ๋ฆฌ๋‰ด์–ผ, ํ”„๋ฆฌ๋ฏธ์—„ ๋ฐฑํ™”์ ๊ณผ ์‡ผํ•‘๋ชฐ์„ ํ•ฉ์นœ ๋ณตํ•ฉ๋ชฐ๋กœ ํƒˆ๋ฐ”๊ฟˆ์‹œํ‚ค๊ณ  ์žˆ๋‹ค. ์ˆ˜์›์ ์€ ์ธ๊ธฐ ๋ธŒ๋žœ๋“œ์˜ ๋Œ€ํ˜• ํ”Œ๋ž˜๊ทธ์‹ญ ๋งค์žฅ๊ณผ 5,000ใŽก(์•ฝ 1,512ํ‰) ๊ทœ๋ชจ ํ‘ธ๋“œํ™€ ๋“ฑ์„ ์—ฐ๋‚ด ์„ ๋ณด์ผ ๊ณ„ํš์ด๋‹ค.

ํ˜„๋Œ€๋ฐฑํ™”์ ์€ ์ง€๋‚œํ•ด ๋ง๋ถ€ํ„ฐ ๊ฒฝ๊ธฐ๋„ ๋ถ€์ฒœ์‹œ์— ์žˆ๋Š” ์ค‘๋™์ ์— ๋Œ€ํ•œ ๋Œ€๊ทœ๋ชจ ๋ฆฌ๋‰ด์–ผ ์ž‘์—…์„ ์ง„ํ–‰ํ•˜๊ณ  ์žˆ๋‹ค. ๊ตฌ์ฐŒ, ๋ฐœ๋ Œ์‹œ์•„๊ฐ€, ํŽ˜๋ผ๊ฐ€๋ชจ, ๋ชฝํด๋ ˆ๋ฅด ๋“ฑ ์‹ ๊ทœ ๋ธŒ๋žœ๋“œ 4๊ณณ์˜ ์ž…์ ์„ ํ™•์ •ํ•˜๊ณ  ๋ช…ํ’ˆ ์นดํ…Œ๊ณ ๋ฆฌ๋ฅผ ๋Œ€ํญ ๊ฐ•ํ™”ํ•˜๋Š” ์‹์ด๋‹ค. ์„œ์šธ ๋ชฉ๋™์ ์—๋Š” ์ƒ๋ฐ˜๊ธฐ ์ค‘ ์ดํƒˆ๋ฆฌ์•„ ๋ธŒ๋žœ๋“œ ๋ฐœ๋ ‰์ŠคํŠธ๋ผ๊ฐ€ ์ž…์ ํ•  ์˜ˆ์ •์ด๋‹ค. ์ด์™ธ์—๋„ ํ˜„์žฌ ๋งค์ถœ ๋ถ€์ง„์œผ๋กœ ๊ณ ์ „ํ•˜๊ณ  ์žˆ๋Š” ๋ถ€์‚ฐ์ ์„ 7์›” ๋ง๊นŒ์ง€ ์šด์˜ํ•˜๊ณ  ์—…ํƒœ๋ฅผ ๋ฐ”๊ฟ” ์ƒˆ๋กœ ๋ฌธ์„ ์—ฐ๋‹ค๋Š” ๊ณ„ํš์ด๋‹ค.

๊ฐค๋Ÿฌ๋ฆฌ์•„๋ฐฑํ™”์ ์„ ์šด์˜ํ•˜๋Š” ํ•œํ™”๊ฐค๋Ÿฌ๋ฆฌ์•„๋„ ์ง€๋ฐฉ ์ ํฌ ์ƒˆ๋‹จ์žฅ์— ์—ญ๋Ÿ‰์„ ์ง‘์ค‘ํ•˜๊ณ  ์žˆ๋‹ค. ์šฐ์„  ๋Œ€์ „ ๊ฐค๋Ÿฌ๋ฆฌ์•„ ํƒ€์ž„์›”๋“œ์  ๋‚ด ์Šค์œ„์Šค ๋ช…ํ’ˆ์‹œ๊ณ„ ๋ธŒ๋žœ๋“œ ๋กค๋ ‰์Šค ๋งค์žฅ์„ ๊ธฐ์กด ๋Œ€๋น„ 3๋ฐฐ๊ฐ€๋Ÿ‰ ํ‚ค์›Œ ๊ตญ๋‚ด ์ตœ๋Œ€ ๊ทœ๋ชจ ์ˆ˜์ค€์œผ๋กœ ์žฌ๋‹จ์žฅํ–ˆ๋‹ค. ํƒ€์ž„์›”๋“œ์  1์ธต์—๋Š” ์˜๊ตญ ํ•˜์ด์—”๋“œ ์ฃผ์–ผ๋ฆฌ ๋ธŒ๋žœ๋“œ ๊ทธ๋ผํ”„๋„ ์˜คํ”ˆํ–ˆ๋‹ค. ๊ทธ๋ผํ”„๋Š” 1960๋…„ ์˜๊ตญ์—์„œ ํƒ„์ƒํ•œ ํ•˜์ด์—”๋“œ ์ฃผ์–ผ๋ฆฌ ๋ธŒ๋žœ๋“œ๋กœ ์„œ์šธ, ์ˆ˜๋„๊ถŒ์ด ์•„๋‹Œ ์ง€๋ฐฉ ๋ฐฑํ™”์ ์— ๋งค์žฅ์„ ์—ฐ ๊ฒƒ์€ ์ฒ˜์Œ์ด๋‹ค. ์ง€๋‚œํ•ด 12์›”์—๋Š” ํƒ€์ž„์›”๋“œ์ ์— ๊ตฌ์ฐŒ ๋‚จ์„ฑ ์ „์šฉ ๋งค์žฅ์„ ์ƒˆ๋กญ๊ฒŒ ์—ด์—ˆ๊ณ , ์ตœ๊ทผ์—” ์ง€ํ•˜ 1์ธต ๋‚จ์„ฑ ๋ช…ํ’ˆ ๋งค์žฅ์— ํŒ์—… ์ „์šฉ ๊ณต๊ฐ„์„ ์กฐ์„ฑํ•˜๊ธฐ๋„ ํ–ˆ๋‹ค.

์‹ ์„ธ๊ณ„๋ฐฑํ™”์ ์€ ๋Œ€๊ตฌ์  ์ง€ํ•˜ 1์ธต ์‹ํ’ˆ๊ด€์— ์˜ค๋Š” 8์›” ์Šค์œ„ํŠธ ํŒŒํฌ๋ฅผ ์˜คํ”ˆํ•˜๊ธฐ ์œ„ํ•ด ๋ฆฌ๋‰ด์–ผ ์ž‘์—…์— ํ•œ์ฐฝ์ด๋‹ค. ์Šค์œ„ํŠธ ํŒŒํฌ๋Š” ํ•ด์™ธ์—์„œ๋งŒ ๋ง›๋ณผ ์ˆ˜ ์žˆ๋˜ ์œ ๋ช… ๋””์ €ํŠธ๋ถ€ํ„ฐ ๊ตญ๋‚ด ๋นต์ง‘ ๋“ฑ ์ธ๊ธฐ ๋””์ €ํŠธ ๋งค์žฅ์„ ํ•œ๋ฐ ๋ชจ์•„ ๋†“์€ ๊ณต๊ฐ„์ด๋‹ค. ์˜ฌํ•ด 2์›” ๊ฐ•๋‚จ์ ์— ์ฒ˜์Œ ๋ฌธ์„ ์—ฐ ์Šค์œ„ํŠธ ํŒŒํฌ๋Š” ํ•˜๋ฃจ ํ‰๊ท  4๋งŒ7,000์—ฌ ๋ช…์ด ์ฐพ์„ ์ •๋„๋กœ ํฅํ–‰ํ•˜๊ณ  ์žˆ๋‹ค. ์‹ ์„ธ๊ณ„๋ฐฑํ™”์ ์€ ์•ž์„œ 2019๋…„๋ถ€ํ„ฐ 8๋…„๊ฐ„ ์ง„ํ–‰ํ•ด ์˜จ ๊ฒฝ๊ธฐ์ ์˜ ๋ฆฌ๋‰ด์–ผ๋„ ์˜ฌํ•ด 1์›” ๋ชจ๋‘ ๋งˆ์ณค๋‹ค. ์ „์ฒด ๋งค์žฅ ๋ฉด์ ์˜ 90%์— ๋‹ฌํ•˜๋Š” 4๋งŒ6,280ใŽก(์•ฝ 1๋งŒ4,000ํ‰)์˜ ๊ณต๊ฐ„์„ ์ƒˆ๋กญ๊ฒŒ ๋ฐ”๊พธ๊ณ , MZ์„ธ๋Œ€ ๊ณ ๊ฐ๊ณผ ๊ฐ€์กฑ ๋‹จ์œ„ ๊ณ ๊ฐ์„ ๊ณต๋žตํ•˜๊ธฐ ์œ„ํ•ด ์•„์นด๋ฐ๋ฏธ, ์˜ํ™”๊ด€ ๋“ฑ ๋ฌธํ™”ยท์ฒดํ—˜ยท์„œ๋น„์Šค ์‹œ์„ค์„ ๊ฐ•ํ™”ํ–ˆ๋‹ค.

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๋ฏธ๋””์–ด์˜ ์˜ํ–ฅ๋ ฅ์„ ๋ฌด๊ฒ๊ฒŒ ์ธ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฆฌํ•œ ์‹œ๊ฐ๊ณผ ๋ถ„์„๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ๊ณต์ •ํ•˜๊ณ  ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์ •๋ณด๋งŒ์„ ์ „๋‹ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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ไธญ ์‹ฌํ™”ํ•˜๋Š” ๊ตฌ์ง๋‚œ์— '์ธํ„ด ์•Œ์„ ์—…์ฒด' ์„ฑํ–‰, ๋ˆ ์ฃผ๊ณ  ๋ฌด๊ธ‰์œผ๋กœ ์ผํ•˜๋Š” ๊ธฐํ˜„์ƒ ๋ฐœ์ƒ

ไธญ ์‹ฌํ™”ํ•˜๋Š” ๊ตฌ์ง๋‚œ์— '์ธํ„ด ์•Œ์„ ์—…์ฒด' ์„ฑํ–‰, ๋ˆ ์ฃผ๊ณ  ๋ฌด๊ธ‰์œผ๋กœ ์ผํ•˜๋Š” ๊ธฐํ˜„์ƒ ๋ฐœ์ƒ
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๊ธˆ์œต ์‚ฐ์—…์—์„œ์˜ ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ์ •ํ™•ํ•˜๊ณ  ์ดํ•ดํ•˜๊ธฐ ์‰ฌ์šด ๊ธฐ์‚ฌ๋ฅผ ์“ฐ๊ฒ ์Šต๋‹ˆ๋‹ค. ๊ฒฝ์ œ ํ™œ๋ ฅ์— ์ž‘์€ ๋ณดํƒฌ์ด ๋˜๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

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์ค‘๊ฐœ์—…์ฒด์— ์•Œ์„ ๋น„ ์ฃผ๋Š” '์œ ๋ฃŒ ์ธํ„ด์‹ญ' ํ™•์‚ฐ
์—…์ข…ยท๋„์‹œยท์‹œ๊ธฐ ๋“ฑ์— ๋”ฐ๋ผ ๊ฐ€๊ฒฉ๋„ ์ฒœ์ฐจ๋งŒ๋ณ„
๊ธ€๋กœ๋ฒŒ ๊ธฐ์—…, ๊ตญ์ œ๊ธฐ๊ตฌ ๋“ฑ ์•Œ์„ ๋น„ 4๋ฐฐ ๋†’์•„
20240729 china intership

์‹ฌํ™”ํ•˜๋Š” ๊ตฌ์ง๋‚œ์— ์ค‘๊ตญ ์ฒญ๋…„๋“ค์ด 1,000๋งŒ์›์— ๋‹ฌํ•˜๋Š” ๊ฑฐ์•ก์„ ๋‚ด๊ณ  ์ธํ„ด์‹ญ์— ์ฐธ์—ฌํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ๋‹ค. ์˜ฌํ•ด๋งŒ ๋Œ€์กธ์ž๊ฐ€ 1,200๋งŒ ๋ช…์— ๋‹ฌํ•˜๋Š” ๋“ฑ ๋…ธ๋™์‹œ์žฅ์˜ ์ดˆ๊ณผ ๊ณต๊ธ‰์ด ๋ฐœ์ƒํ•˜์ž ๋ˆ์„ ์ฃผ๊ณ  ์ŠคํŽ™์„ ์‚ฌ๋Š” ํ˜„์ƒ๊นŒ์ง€ ๋ฐœ์ƒํ•œ ๊ฒƒ์ด๋‹ค. ์ด์— ๊ทน์‹ฌํ•œ ์ทจ์—…๋‚œ์ด ์ฒญ๋…„์ธต์˜ ๋ฌด๊ธฐ๋ ฅ๊ณผ ์ ˆ๋ง์„ ๊นŠ์–ด์ง€๊ฒŒ ๋งŒ๋“ค์–ด ์ค‘๊ตญ ์‚ฌํšŒ์˜ ๋ถˆ์•ˆ ์š”์ธ์œผ๋กœ ์ž‘์šฉํ•  ๊ฒƒ์ด๋ž€ ์šฐ๋ ค๊ฐ€ ๋‚˜์˜จ๋‹ค.

๋‹ฌ๋ผ์ง„ ไธญ ์ทจ์—… ํ’์†๋„, '์œ ๋ฃŒ ์ธํ„ด์‹ญ' ๋“ฑ์žฅ

29์ผ ์ค‘ํ™”๋ง ๋“ฑ ํ˜„์ง€ ์–ธ๋ก ์— ๋”ฐ๋ฅด๋ฉด ์ตœ๊ทผ ๋Œ€์กธ์ž ์‚ฌ์ด์— '์œ ๋ฃŒ ์ธํ„ด์‹ญ'์ด๋ผ๋Š” ์ƒˆ๋กœ์šด ํ˜„์ƒ์ด ๋“ฑ์žฅํ–ˆ๋‹ค. ์ค‘๊ฐœ์—…์ฒด์— ๋ˆ์„ ์ง€๋ถˆํ•˜๊ณ  ์›ํ•˜๋Š” ๊ธฐ์—…์— ์ œ์ถœํ•  ๊ณต์‹ ์ถ”์ฒœ์„œ๋ฅผ ๋ฐ›์•„ ์ธํ„ด์— ํ•ฉ๊ฒฉํ•˜๋Š” ์‹์ด๋‹ค. ์ค‘ํ™”๋ง์€ "ํŠนํžˆ ๊ฒฝ์Ÿ์ด ์น˜์—ดํ•œ ์œ ๋ง ์‚ฐ์—… ๋ถ„์•ผ๋‚˜ ๋Œ€๋„์‹œ์—์„œ ์œ ๋ฃŒ ์ธํ„ด์‹ญ์ด ์„ฑํ–‰ํ•˜๊ณ  ์žˆ๋‹ค"๊ณ  ๋ณด๋„ํ–ˆ๋‹ค.

์ธํ„ด์‹ญ ์•Œ์„ ๋น„๋Š” ์—…์ข…์— ๋”ฐ๋ผ ์ ๊ฒŒ๋Š” 8,000์œ„์•ˆ(์•ฝ 151๋งŒ์›)์—์„œ ๋งŽ๊ฒŒ๋Š” 1๋งŒ9,000์œ„์•ˆ(์•ฝ 360๋งŒ์›)์— ๋‹ฌํ•œ๋‹ค. ์ค‘๊ตญ ๋‚ด ๊ตฌ์ง ํ”Œ๋žซํผ์—์„œ๋Š” ํ‹ฑํ†ก ๋ชจํšŒ์‚ฌ์ธ ๋ฐ”์ดํŠธ๋Œ„์Šค์˜ ํ˜„์žฅ ์ธํ„ด์‹ญ ์•Œ์„ ๋น„๊ฐ€ 3๋งŒ6,800์œ„์•ˆ(์•ฝ 700๋งŒ์›)์œผ๋กœ, ํ•˜๊ณ„ยท๋™๊ณ„ ๋ฐฉํ•™ ๊ธฐ๊ฐ„์—๋Š” 2๋งŒ9,800์œ„์•ˆ(์•ฝ 570๋งŒ์›)์œผ๋กœ ํ• ์ธํ•œ๋‹ค๊ณ  ํ™๋ณดํ•˜๋Š” ์ค‘๊ฐœ์—…์ฒด๋„ ์žˆ์—ˆ๋‹ค.

์ค‘๊ตญ ์ตœ๋Œ€์˜ ์˜จ๋ผ์ธ ๊ตฌ์งยท๊ตฌ์ธ ํ”Œ๋žซํผ ์ฆˆ๋ก„์ด ๋ฐœํ‘œํ•œ ์ง€๋‚œํ•ด 4๋ถ„๊ธฐ ๊ธฐ์ค€ ๋„์‹œ๋ณ„ ์ž„๊ธˆ ์ˆœ์œ„์—์„œ 1์œ„์— ์˜ค๋ฅธ ์ƒํ•˜์ด์˜ ํ‰๊ท  ์›”๊ธ‰์ด 1๋งŒ3,888์œ„์•ˆ(์•ฝ 263๋งŒ์›)์ธ ์ ์„ ๊ฐ์•ˆํ•˜๋ฉด ์ค‘๊ตญ ๋Œ€์กธ์ž๋“ค์€ ์›ฌ๋งŒํ•œ ๋„์‹œ ๊ทผ๋กœ์ž์˜ ํ•œ๋‘ ๋‹ฌ ์น˜ ์›”๊ธ‰์„ ์•Œ์„ ๋น„๋กœ ์ค˜์•ผ ํ•˜๋Š” ์‹ค์ •์ด๋‹ค. ๋”์šฑ์ด ์ตœ๊ทผ์—๋Š” ์ค‘๊ตญ ๋‚ด ๊ธฐ์—…์œผ๋กœ ํ•œ์ •๋๋˜ ์œ ๋ฃŒ ์ธํ„ด์‹ญ์ด ๊ธ€๋กœ๋ฒŒ ๊ธฐ์—…, ๊ตญ์ œ๊ธฐ๊ตฌ๊นŒ์ง€ ํ™•๋Œ€๋˜๋Š” ์ถ”์„ธ๋‹ค. ์ผ๋ก€๋กœ ํ•œ ์ค‘๊ฐœ์—…์ฒด๋Š” ๊ตญ์ œ๊ธฐ๊ตฌ ์ธํ„ด์‹ญ ์ž๋ฆฌ๋ฅผ ์ œ๊ณตํ•˜๋Š” ์กฐ๊ฑด์œผ๋กœ 4๋งŒ8,800์œ„์•ˆ(์•ฝ 930๋งŒ์›)์„ ์š”๊ตฌํ•˜๊ณ  ์žˆ๋‹ค.

20240729 youth umemployment
์ค‘๊ตญ ์ฒญ๋…„ ์‹ค์—…๋ฅ /์ถœ์ฒ˜=์Šคํƒœํ‹ฐ์Šคํƒ€(statista)

ํƒ•ํ•‘์กฑ๊นŒ์ง€ ํฌํ•จํ•œ ์ฒญ๋…„ ์‹ค์—…๋ฅ  50% ์œก๋ฐ•

์ด๋Ÿฐ ๊ฐ€์šด๋ฐ ์œ ๋ฃŒ ์ธํ„ด์‹ญ์„ ๋‚ด์„ธ์šด ์‚ฌ๊ธฐ๋„ ๊ธฐ์Šน์„ ๋ถ€๋ฆฌ๊ณ  ์žˆ๋‹ค. ์ตœ๊ทผ ์ค‘๊ตญ์˜ ์†Œ๋น„์ž ๋ถˆ๋งŒ ์ ‘์ˆ˜ ์‚ฌ์ดํŠธ์—๋Š” 'ํ—ˆ์œ„ ๊ด‘๊ณ ', '์†Œ๋น„์ž ์‚ฌ๊ธฐ', 'ํ™˜๋ถˆ ๊ฑฐ๋ถ€' ๋“ฑ ์œ ๋ฃŒ ์ธํ„ด์‹ญ ์ค‘๊ฐœ์—…์ฒด์— ๋Œ€ํ•œ ๋ถˆ๋งŒ์ด ๋‹ค์ˆ˜ ์ ‘์ˆ˜๋๋‹ค. ์—ฌ๊ธฐ์— ์ˆ˜๋ฐฑ๋งŒ์›์˜ ์•Œ์„ ๋น„๋ฅผ ์ฃผ๊ณ  ์œ ๋กœ ์ธํ„ด์‹ญ์˜ ๊ธฐํšŒ๋ฅผ ์–ป์–ด๋„ ๋ฌด๊ธ‰์œผ๋กœ 2~3๊ฐœ์›” ์ผํ•˜๋‹ค๊ฐ€ ์ธํ„ด์‹ญ ์ข…๋ฃŒ์™€ ํ•จ๊ป˜ ๋‹ค์‹œ ์‹ค์ง์ž๋กœ ๋Œ์•„๊ฐ€๋Š” ์‚ฌ๋ก€๋„ ๋งŽ์•„ ์ผ๋ถ€ ๊ธฐ์—…๋“ค์ด ์ด๋Ÿฌํ•œ ๊ด€ํ–‰์„ ์•…์šฉํ•œ๋‹ค๋Š” ๋น„ํŒ๋„ ๋†’๋‹ค.

ํ•œ ๋‹ฌ ์น˜ ์›”๊ธ‰์„ ์ฃผ๊ณ  ๋ฌด๊ธ‰์˜ ์ธํ„ด์‹ญ ์ž๋ฆฌ๋ฅผ ๊ตฌํ•˜๋Š” ๊ธฐํ˜„์ƒ์˜ ๋ฐฐ๊ฒฝ์œผ๋กœ๋Š” ๊ทน์‹ฌํ•œ ์ทจ์—…๋‚œ์ด ๊ผฝํžŒ๋‹ค. ์ง€๋‚œํ•ด 6์›” ์ค‘๊ตญ์˜ ์ฒญ๋…„ ์‹ค์—…๋ฅ ์€ ์‚ฌ์ƒ ์ตœ๊ณ ์น˜์ธ 21.3%๋ฅผ ๊ธฐ๋กํ–ˆ๋Š”๋ฐ, ๋‹น๊ตญ์€ ๊ฐ™์€ ํ•ด 7์›”๋ถ€ํ„ฐ ์ฒญ๋…„ ์‹ค์—…๋ฅ  ๋ฐœํ‘œ๋ฅผ ์ž ์ • ์ค‘๋‹จํ–ˆ๋‹ค. ๋Œ€์‹  ์ง€๋‚œํ•ด 12์›”๋ถ€ํ„ฐ ์ค‘ยท๊ณ ๊ต ๋ฐ ๋Œ€ํ•™ ์žฌํ•™์ƒ์„ ์ œ์™ธํ•œ ๊ตฌ์ง์ž๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•œ ์‹ค์—…๋ฅ  ์ถ”๊ณ„๋ฅผ ๋ฐœํ‘œํ•˜๋ฉฐ ์ˆ˜์น˜๋ฅผ 10%๋Œ€๋กœ ๋‚ฎ์ท„์ง€๋งŒ, ์ฒญ๋…„์ธต์˜ ์‹ค์ƒ๊ณผ๋Š” ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค๋Š” ์ง€์ ์ด๋‹ค.

์ง€๋‚œํ•ด 7์›” ๋ฒ ์ด์ง•๋Œ€ ์—ฐ๊ตฌํŒ€์€ 'ํƒ•ํ•‘์กฑ(่บบๅนณๆ—ยท์ง‘์—์„œ ๋ˆ„์›Œ์„œ ์‹œ๊ฐ„์„ ๋ณด๋‚ด๋Š” ์ฒญ๋…„์ธต)'๊ณผ ๋ถ€๋ชจ์—๊ฒŒ ์˜์กดํ•ด ์ƒํ™œํ•˜๋Š” '์บฅ๊ฑฐ๋ฃจ์กฑ' ๋“ฑ ์ทจ์—…์„ ํฌ๊ธฐํ•œ 1,600๋งŒ ๋ช…์˜ ์ฒญ๋…„์„ ํ•ฉ์น˜๋ฉด ์‹ค์ œ ์ฒญ๋…„ ์‹ค์—…๋ฅ ์€ 46.5%๋ผ๋Š” ์ถ”๊ณ„๋ฅผ ๋‚ด๋†จ๋‹ค. ๊ทธ๋Ÿฌ๋ฉด์„œ ์ค‘๊ตญ ๋‹น๊ตญ์ด ์‹ค์—…๋ฅ ์„ ๊ณ„์‚ฐํ•  ๋•Œ '์ ๊ทน์ ์œผ๋กœ ๊ตฌ์งํ™œ๋™์„ ํ•˜์ง€ ์•Š๋Š” ์ฒญ๋…„'์„ ์ œ์™ธํ•ด ํ˜„์‹ค๊ณผ ๊ดด๋ฆฌ๊ฐ€ ์ƒ๊ฒผ๋‹ค๊ณ  ์ฃผ์žฅํ–ˆ๋‹ค. ์‹ค์ œ๋กœ ๋งค๋…„ 1,000๋งŒ ๋ช…์ด ๋„˜๋Š” ์ค‘๊ตญ์˜ ๋Œ€์กธ์ž ์ค‘ ์ˆ˜๋ฐฑ๋งŒ ๋ช…์ด ์ง์žฅ์„ ๊ตฌํ•˜์ง€ ๋ชปํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์‚ฐ๋œ๋‹ค.

๋ฌด๋„ˆ์ง„ '์ค‘๊ตญๅคข', ๋ณ€ํ™” ์ด๋Œ ์‹œํ•œํญํƒ„ ๋˜๋‚˜

ํ˜„์žฌ ์ค‘๊ตญ ์ฒญ๋…„์ธต์€ ๊ทธ๋™์•ˆ ๋ฏธ์ฒ˜ ์ค€๋น„ํ•˜์ง€ ๋ชปํ•œ ๋ฏธ๋ž˜์— ์ง๋ฉดํ•ด ์žˆ๋‹ค. ์„ธ๊ณ„ 2์œ„ ๊ฒฝ์ œ๋Œ€๊ตญ์—์„œ ์—ด์‹ฌํžˆ ๊ณต๋ถ€ํ•ด ๋Œ€ํ•™์„ ์กธ์—…ํ•˜๋ฉด ์ผ์ž๋ฆฌ๊ฐ€ ์ƒ๊ธฐ๊ณ  ๋ˆ์„ ๋ฒŒ์–ด ๊ดœ์ฐฎ์€ ์‚ถ์„ ์‚ด ์ˆ˜ ์žˆ๋‹ค๋Š” ๋ฏฟ์Œ์ด ๋” ์ด์ƒ ์œ ํšจํ•˜์ง€ ์•Š๋‹ค๋Š” ์‚ฌ์‹ค์„ ์•Œ๊ฒŒ ๋œ ๊ฒƒ์ด๋‹ค. ์ทจ์—… ๋ฐ•๋žŒํšŒ์—์„œ๋Š” ๋Œ€์กธ์ž์—๊ฒŒ ์˜์—…์ง์ด๋‚˜ ๊ธฐ์ˆ ์ง์˜ ์กฐ์ˆ˜ ๋“ฑ ์ €์ˆ™๋ จ ์ผ์ž๋ฆฌ๋ฅผ ๊ถŒํ•˜๋Š” ์ผ๋„ ๋น„์ผ๋น„์žฌํ•˜๋ฉฐ, ๋Œ€๊ธฐ์—… ์ทจ์—…์— ๋Œ€ํ•œ ์•”์šธํ•œ ์ „๋ง์— ๊ณต๋ฌด์›์„ ์ค€๋น„ํ•˜๋Š” ์ด๋“ค์ด ๋Š˜๋ฉด์„œ ์ง€๋‚œํ•ด ๊ณต๋ฌด์› ์‹œํ—˜ ์‘์‹œ์ƒ์ด 300๋งŒ ๋ช…์„ ๋„˜๊ธฐ๋„ ํ–ˆ๋‹ค.

์ฒญ๋…„์ธต์ด ์„ ํ˜ธํ•˜๋Š” ์ผ์ž๋ฆฌ์™€ ์‹ค์ œ ์ทจ์—… ๊ฐ€๋Šฅํ•œ ์ผ์ž๋ฆฌ ๊ฐ„์— ๋ฏธ์Šค๋งค์น˜๊ฐ€ ๋ฐœ์ƒํ•˜๋ฉด์„œ ๋„์‹œ์—์„œ์˜ ๊ตฌ์ง์„ ํฌ๊ธฐํ•˜๊ณ  ์‹œ๊ณจ์— ์žˆ๋Š” ๋ถ€๋ชจ๋‹˜์—๊ฒŒ ๋Œ์•„๊ฐ€๊ธฐ๋ฅผ ํƒํ•˜๋Š” ์ฒญ๋…„๋“ค๋„ ๋Š˜๊ณ  ์žˆ๋‹ค. ์ค‘๊ตญ ๋‹น๊ตญ ์ฐจ์›์—์„œ๋„ ๋†’์•„์ง€๋Š” ์‹ค์—…๋ฅ ์— ์ฒญ๋…„๋“ค์—๊ฒŒ ๊ท€ํ–ฅ๊ณผ ๋†์ดŒ์—์„œ์˜ ๊ตฌ์งํ™œ๋™์„ ๋…๋ คํ•˜๋Š” ์ƒํ™ฉ์ด๋‹ค.

ํ˜„์žฌ ์ค‘๊ตญ์˜ '์‹ ๋นˆ๊ณค์ธต'์ด๋ผ ๋ถˆ๋ฆฌ๋Š” 16~35์„ธ ์ฒญ๋…„ ์ธ๊ตฌ๋Š” 3์–ต6,000๋งŒ ๋ช…์œผ๋กœ ์ „์ฒด ์ธ๊ตฌ์˜ 4๋ถ„์˜ 1์— ๋‹ฌํ•œ๋‹ค. ๋ฌธ์ œ๋Š” ํŒฌ๋ฐ๋ฏน ์ดํ›„ ๊ฒฝ์ œ ์œ„๊ธฐ์˜ ์ง๊ฒฉํƒ€๋ฅผ ๋งž์€ ์ด๋“ค์˜ ๋นˆ๊ณค์ด ๋‹จ์ˆœํžˆ ์ผ์ž๋ฆฌ, ๊ธฐํšŒ, ๊ฒฝ์ œ์  ์ˆ˜์ž…์˜ ๋ถ€์กฑ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ค‘๊ตญ ์‚ฌํšŒ์— ๋Œ€ํ•œ ์‹ค๋ง๊ฐ๊ณผ ํ™˜๋ฉธ๊ฐ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์ด๋‹ค. ์ด ๋•Œ๋ฌธ์— ์ผ๊ฐ์—์„œ๋Š” ์ค‘๊ตญ์ด ์†Œ๋น„ ๋ถ€์ง„, ๋ถ€๋™์‚ฐ ์นจ์ฒด ๋“ฑ์— ๋”ํ•ด ์ฒญ๋…„ ์‹ค์—…์˜ ๋ฌธ์ œ๊ฐ€ ํ–ฅํ›„ ์‹ฌ๊ฐํ•œ ์‚ฌํšŒ์  ํ˜ผ๋ž€์„ ์•ผ๊ธฐํ•  ๊ฒƒ์ด๋ž€ ์šฐ๋ ค๋„ ์ ์ง€ ์•Š๋‹ค.

์˜๊ตญ ์˜ฅ์Šคํผ๋“œ๋Œ€ํ•™์˜ ์ƒน ๋ฐ”์˜ค ๊ต์ˆ˜๋Š” ์ด๋Ÿฌํ•œ ์ค‘๊ตญ ์ฒญ๋…„์ธต์˜ ๋ณ€ํ™”๋ฅผ ๋‘๊ณ  '์ค‘๊ตญ๋ชฝ์˜ ์žฌ๊ตฌ์„ฑ'์ด๋ผ๊ณ  ์ •์˜ํ•˜๋ฉด์„œ "์ค‘๊ตญ Z์„ธ๋Œ€ ๋งˆ์Œ์†์— ํ˜๋ช…์ด ์ผ์–ด๋‚˜๊ณ  ์žˆ๋‹ค"๊ณ  ์ง„๋‹จํ–ˆ๋‹ค. ๊ทธ๋™์•ˆ ์‹œ์ง„ํ•‘ ์ฒด์ œ๋Š” ์ „์ฒด ์ธ๋ฏผ์˜ '๊ณต๋™๋ถ€์œ '์™€ ํ•จ๊ป˜ ์ค‘ํ™”๋ฏผ์กฑ์˜ ์œ„๋Œ€ํ•œ ๋ถ€ํฅ์„ ๋œปํ•˜๋Š” '์ค‘๊ตญ๋ชฝ'์„ ์ฃผ์ฐฝํ•ด ์™”์ง€๋งŒ ์‹œ์ง„ํ•‘์ด ํ‚ค์›Œ๋‚ธ 1020์„ธ๋Œ€, ์ด๋ฅธ๋ฐ” '์• ๊ตญ์ฒญ๋…„'์ด ์šฐ์šธ๊ณผ ๋ถˆ์•ˆ๊ฐ์— ์žํฌ์ž๊ธฐํ•˜๋ฉด์„œ '์ค‘๊ตญ๋ชฝ'์ด ์˜คํžˆ๋ ค ์ฒด์ œ๋ฅผ ์œ„ํ˜‘ํ•˜๋Š” ์ž ์žฌ์  ์œ„ํ—˜ ์š”์ธ์ด ๋  ๊ฒƒ์ด๋ž€ ๋ถ„์„์ด๋‹ค. ์‹ค์ œ๋กœ ํ™์ฝฉ ์‚ฌ์šฐ์Šค์ฐจ์ด๋‚˜๋ชจ๋‹ํฌ์ŠคํŠธ(SCMP)์— ๋”ฐ๋ฅด๋ฉด ์ค‘๊ตญ ๊ฒฝ์ œ์˜ ๊ณ ๋„ ์„ฑ์žฅ์„ธ๊ฐ€ ๊บพ์ด๊ณ  ์‹ค์—…๋ฅ ์ด ์น˜์†Ÿ์œผ๋ฉด์„œ 900๋งŒ ๋ช… ์ด์ƒ์˜ ์ฒญ๋…„๋“ค์ด ์šฐ์šธ์ฆ์„ ์•“๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

๋ฐ˜๋ฉด ์ผ๊ฐ์—์„œ๋Š” ์ด๋“ค์ด ์ค‘๊ตญ์„ ๋ณ€ํ™”์‹œํ‚ฌ ๊ฐ•๋ ฅํ•œ ์„ธ๋Œ€๋กœ ์ง„ํ™”ํ•  ๊ฒƒ์ด๋ž€ ์ฃผ์žฅ๋„ ๋‚˜์˜จ๋‹ค. ๊ณผ๊ฑฐ์—๋„ ์ค‘๊ตญ์€ ๋น„์Šทํ•œ ์ผ์„ ๊ฒช์—ˆ๋‹ค. ์ฒœ์•ˆ๋ฌธ ๊ด‘์žฅ ์‹œ์œ„๊ฐ€ ๋Œ€ํ‘œ์ ์ด๋‹ค. ์ง€๋‚œ 1989๋…„ ์‹ค์—…๊ณผ ์ธํ”Œ๋ ˆ์ด์…˜์œผ๋กœ ์ธํ•œ ์ฒญ๋…„๋“ค์˜ ์ขŒ์ ˆ๊ฐ์ด ํŠธ๋ฆฌ๊ฑฐ๊ฐ€ ๋ผ ์ฒœ์•ˆ๋ฌธ ๊ด‘์žฅ์—์„œ ์—ญ์‚ฌ์ ์ด๊ณ  ๊ฑฐ๋Œ€ํ•œ ์‹œ์œ„๊ฐ€ ์ผ์–ด๋‚œ ๋ฐ” ์žˆ๋‹ค. ์ตœ๊ทผ์ธ 2022๋…„์—๋„ ์ค‘๊ตญ ์ •๋ถ€์˜ ์—„๊ฒฉํ•œ '์ œ๋กœ ์ฝ”๋กœ๋‚˜' ์ •์ฑ…์— ๋ฐ˜๋Œ€ํ•˜๋Š” ์‹œ์œ„๊ฐ€ ์ „๊ตญ์ ์œผ๋กœ ์ผ์–ด๋‚ฌ๋‹ค. ์ด๊ฐ™์€ ์• ๊ตญ์ฒญ๋…„์˜ ๋ฐฑ์ง€ ์‹œ์œ„์— ์ค‘๊ตญ ์ •๋ถ€๋Š” ๊ฒฐ๊ตญ ์ฝ”๋กœ๋‚˜19 ํ™•์ง„์ž์˜ ์ž๊ฐ€๊ฒฉ๋ฆฌ๋ฅผ ํ—ˆ์šฉํ•˜๋Š” ๋“ฑ ๋ฐฉ์—ญ ์™„ํ™” ์กฐ์น˜๋ฅผ ๋ฐœํ‘œํ•˜๋ฉฐ ํ•œ๋ฐœ ๋ฌผ๋Ÿฌ์„ฐ๋‹ค.

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๋‚จ์œค์ •
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๊ธฐ์ž
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[email protected]
๊ธˆ์œต ์‚ฐ์—…์—์„œ์˜ ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ์ •ํ™•ํ•˜๊ณ  ์ดํ•ดํ•˜๊ธฐ ์‰ฌ์šด ๊ธฐ์‚ฌ๋ฅผ ์“ฐ๊ฒ ์Šต๋‹ˆ๋‹ค. ๊ฒฝ์ œ ํ™œ๋ ฅ์— ์ž‘์€ ๋ณดํƒฌ์ด ๋˜๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

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MSc AI/Data Science vs. Boot Camp for AI

MSc AI/Data Science vs. Boot Camp for AI
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Member for

7 months 4 weeks
Real name
David O'Neill
Bio
Founding member of GIAI & SIAI
Professor of Data Science @ SIAI

Modified

Boot camp is for software programming without mathematical training
MSc is a track for PhD, with in-depth scientific research written in the language of math and stat
We respect programmers, but our works are significantly varying

Due to the fact that we are running SIAI, an higher educational institution for AI/Data Science, we often have questions about the difference between Boot Camps for AI and MSc programmes. The shortest answer is the difference in Math requirements. Masters track is for people looking for academic training so that one can read academic papers in that subject. With PhD in the topic, we expect the student to be able to lead a research. From Boot Camp, sorry to be a little aggressive here, but we only expect a 'Coding Monkey'.

We are aware that many countries are shallow in AI/Data Science that they want employees only to be able to best use of Open AI's and AWS's libraries by Rest API. For that, boot camp should be enough, unless the boot camp teacher does not know how to do so. There are nearly infinite amount of contents for how to use Rest API for your software, regardless of your backend platform, be it an easy script languages like Python or tough functional ones like OCaml. Difficulties are not always indicators of determinants in challenges, and we, as data scientists at GIAI, care less about what language you use. What's important is how flexible your thinking for mathematically contained modeling.

Boot camp for software programing, MSc for scientific training

Unfortunately, unless you are lucky enough to be born as smart as Mr. Ramanujan, you cannot learn math modeling skills from a bunch of blogs. Programming, however, has infinitely many proven records of excellent programmers without school traninng. Elon Musk is just one example. He did Economics and Physics in his undergrad at U Penn, and he only stayed one day in the mechanical engineering PhD program at Stanford University. Programming is nothing more than a logic, but math needs too many building blocks to understand the language.

When we first build SIAI, we had quite a lengthy discussion for weeks. Keith was firm that we should stick to mathematical aspects of AI/Data Science. (which doesn't mean we should only teach math, just to avoid any misunderstanding.) Mc wanted two tier tracks for math and coding. We later found that with coding, it is unlikely that we can have the school accreditted by official parties, so we end up with Keith's idea. Besides, we have seen too many Boot Camps around the world that we do not believe we can be competitive in that regard.

The founding motto of the school is 'Rerum Cognoscere Causaus', meaning 'the real cause of things'. With mathematical tools, we were sure that we can teach what are the reason behind a computational model was first introduced. Indeed, Keith has done so well in his Scientific Programming that most students no longer bound to media brainwashing that Neural Network is the most superior model.

Scientists do our own stuff

If you just go through Boot Camps for coding, chances are that you can learn the limitations of Neural Network just by endless trials and errors, if not somebody's Medium posts and Reddit comments. In other words, without the proper math training, it is unlikely one can understand how the computational logics of each model are built, which makes us to aloof from all programmers without necessary math training.

The very idea comes from multiple rounds of uneasy exposures to software engineers without a shred of understanding in modeling side of AI. They usually claim that Neural Network is proven to be the best model, and they do not need any other model knowledge. And all they have to do is to run and test it. Researchers at GIAI are trained scientists, and we mostly can guess what will happen just by looking at equations. And, most importantly, we are well aware that NN is the best model only for certain tasks.

They kept claim that they were like us, and some of them wanted to build a formal assocation with SIAI (and later GIAI). It's hard for us to work with them, if they keep that attitude. These days, whenever we are approached by third parties, if they want to be at equals with us, we ask them to show us math training levels. Please make no mistake that we respect them as software engineers, but we do not respect them as scientists.

Guess aforementioned story and internal discomfort tells you the difference between software engineers and data/research scientists, let alone tools that we rely on.

We screen out students by admission exams in math/stat

With the experience, Keith initiated two admission exams for our MSc AI/Data Science programmes. At the very beginning, we thought there will be plenty of qualifying students, so we used final year undergrad materials. There was a disaster. We gave them two months of dedicated training. Provided similar exams and solved each one of them with extra detail. But, only 2 out of 30 students were able to get grades good enough to be admitted.

We lowered the level down to European 2nd year (perhaps American 3rd year), and the outcome wasn't that different. Students were barely able to grasp superficial concepts of key math/stat. This is why we were kinda forced to create an MBA program that covers European 2nd year teaching materials with ample amount of business application cases. With that, students survive, but answer keys in their final exam tell us that many of them belong to coding Boot Camps, not SIAI.

From year 2025 and onwards, we will have one admission exam for MSc AI/Data Science (2 year) in March, after 2 months pre-training in Jan and Feb. The exam materials will be 2nd year undergrad level. If a student passes, we offer an exam with one notch up in June, again after 2 months pre-training in Apr and May. This will give them MSc AI/Data Science (1 year) admission.

Students who failed the 2-year track admission, we offer them MBA AI program admission, which covers some part of the 2-year track courses. If they think they are ready, then in the following year, they can take the admission exam again. After a year of various courework, some students have shown better performance, based on our statistics, but not by much. It seemed like the brain has its limit that they cannot go above.

Precisely by the same reason, we are reasonably sure that not that many applicants will be able to come to 2-year track, and almost no one for the 1-year track. More details are available from below link:

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Member for

7 months 4 weeks
Real name
David O'Neill
Bio
Founding member of GIAI & SIAI
Professor of Data Science @ SIAI

Why Companies cannot keep the top-tier data scientists / Research Scientists?

Why Companies cannot keep the top-tier data scientists / Research Scientists?
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Member for

8 months 3 weeks
Real name
Keith Lee
Bio
Professor of AI/Data Science @SIAI
Senior Research Fellow @GIAI Council
Head of GIAI Asia

Modified

Top brains in AI/Data Science are driven to challenging jobs like modeling
Seldom a 2nd-tier company, with countless malpractices, can meet the expectations
Even with $$$, still they soon are forced out of AI game

A few years ago, a large Asian conglomerate acquired a Silicon Valley's start-up just off an early Series A funding. Let's say it is start-up $\alpha$. The M&A team leader later told me that the acquisition was mostly to hire the data scientist in the early stage start-up, but the guy left $\alpha$ on the day the M&A deal was announced.

I had an occation to sit down with the data scientist a few months later, and asked him why. He tried to avoide the conversation, but it was clear that the changing circumstances definitely were not within his expectation. Unlike other bunch of junior data scientists in Silicon Valley's large firms, he did signal me his grad school training in math and stat that I had a pleasant half an hour talk about models. He was mal-treated in large firms that he was given to run SQL queries and build Tableau-based graphes, like other juniors. His PhD training was useless in large firms, so he had decided to be a founding member of $\alpha$ that he can build models and test them with live data. The Asian acquirer with bureaucratic HR system wanted him to give up his agenda and to transplant the Silicon Valley large firm's junior data scientist training system to the acquirer firm.

Photo by Vie Studio

Brains go for brains

Given tons of other available positions, he didn't waste his time. Personall,y I also have lost some months of my life for mere SQL queries and fancy graphes. Well, some people may still go for 'data scientist' title, but I am my own man. So was the data scientist from $\alpha$.

These days, Silicon Valley firms call the modelers as 'research scientists', or simliar names. There also are positions called 'machine learning engineers' whose jobs somewhat related to 'research scientists', but may disinclude mathematical modeling parts and way more software engineering in it. The title 'Data Scientists' are now given to jobs that were used to be called 'SQL monkeys'. As the old nickname suggests, not that many trained scientists would love to do the job, even with competitive salary package.

What companies have to understand is that we, research scientists, are not trained for SQL and Tableau, but mathematical modeling. It's like a hard-trained sushi cook(ๅฐ†ๅคชใฎๅฏฟๅธ, shota no sushi) is given to make street food like Chinese noodle.

Let me give you an example in real corporate world. Let's say a semi-conductor company, $\beta$ wants to build a test model for a wafer / subsctrate. What I often hear from those companeis are that they build a CNN model that reads the wafer's image and match it with pre-labeled 0/1 for error detection. In fact, similar practices have been widely adapted practice among all Neural Network maniacs. I am not saying it does not work. It works. But then, what would you do, if the pre-label was done poorly? Say, the 0/1 entries were like over 10,000 and hardly any body double checked the accruracy. Can you rely on that CNN-based model? In addition to that, the model probably require enourmous amount of computational costs to build, let alone test and operating it daily.

Wrong practice that drives out brain

Instead of the costly and less scientific option, we can always build a model that captures data's generated process(DGP). The wafer is composed of $n \times k$ entries, and issues emerge when $n \times 1$ or $1 \times k$ entries go wrong altogether. Given the domain knowledge, one can build a model with cross-products between entries in the same row/column. If it is continuously 1 (assume 1 for error), then it can easily be identified as a defect case.

Cost of building a model like that? It just needs your brain. There is a good chance that you don't even need a dedicated graphics card for that calculation. Maintenance costs are also incomparably smaller than the CNN version. The concept of computational cst is something that you were supposed to learn in any scientific programming classes at school.

For companies sticking to the expensive CNN options, I always can spot followings:

  • The management has little to no sense of 'computational cost'
  • The manaement cannnot discern 'research scientists' and 'machine learning engineers'
  • The company is full of engineers without the sense of mathematical modeling

If you want to grow up as a 'research scientist', just like the guy at $\alpha$, then run. If you are smart enough, you must have already run, like the guy at $\alpha$. After all, this is why many 2nd-tier firms end up with CNN maniacs like $\beta$. Most 2nd-tier firms are unlucky that they cannot keep research scientists due to lack of knowledge and experience. Those companies have to spend years of time and millions of wasted dollars to find that they were so long. By the time that they come to senses, it is mostly already way too late. If you are good enough, don't waste your time on a sinking ship. The management needs so-called cold-turkey type shock treatment as a solution. In fact, there was a start-up that I stayed only for a week, which lost at least one data scientist in everyweek. The company went to bankrupt in 2 years.

What to do and not to do

At SIAI, I place Scientific Programming right after elementary math/stat training. Students see that each calculation method is an invention to overcome earlier available options' limitations but simultanesouly the modification bounds the new tactic in another directions. Neural Networks are just one of the many kinds. Even with the eye-opening experience, some students still remain NN maniacs, and they flunk in Machine Learning and Deep Learning classes. Those students believe that there must exist a grand model that is univerally superior to all other models. I wish the world is that simple, but my ML and DL courses break the very belief. Those who are awaken, usually become excellent data/research scientists. Many of them come back to me that they were able to minimize computational costs by 90% just by replacing blindly implemented Neural Network models.

Once they see that dramatic cost reduction, at least some people understand that the earlier practice was wrong. The smarty student may not be happy to suffer from poor management and NN maniacs for long. Just like the guy at $\alpha$, it is always easier to change your job than fighting to change your incapable management. Managers moving fast maybe able to withhold the smarty. If not, you are just like the $\beta$. You invest a big chunk of money for an M&A just to hire a smarty, but the smarty disappears.

So, if you want to keep the smarty? Your solution is dead simple. Test math/stat training levels in scientific programming. You will save tons of $$$ in graphic card purchase.

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Member for

8 months 3 weeks
Real name
Keith Lee
Bio
Professor of AI/Data Science @SIAI
Senior Research Fellow @GIAI Council
Head of GIAI Asia

[ํ•ด์™ธ DS] ๋ฉ”ํƒ€, 4050์–ต ๊ฐœ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ฐ€์ง„ ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ '์˜คํ”ˆ ์†Œ์Šค'๋กœ ๊ณต๊ฐœํ•ด

[ํ•ด์™ธ DS] ๋ฉ”ํƒ€, 4050์–ต ๊ฐœ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ฐ€์ง„ ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ '์˜คํ”ˆ ์†Œ์Šค'๋กœ ๊ณต๊ฐœํ•ด
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Member for

8 months 3 weeks
Real name
์ดํƒœ์„ 
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์—ฐ๊ตฌ์›
Bio
[email protected]
์„ธ์ƒ์€ ์ด์•ผ๊ธฐ๋กœ ๋งŒ๋“ค์–ด์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋งŒ ์šฐ๋ฆฌ ๋ˆˆ์— ๊ทธ ์ด์•ผ๊ธฐ๊ฐ€ ๋ณด์ด์ง€ ์•Š์„ ๋ฟ์ž…๋‹ˆ๋‹ค. ์ˆจ๊ฒจ์ง„ ์ด์•ผ๊ธฐ๋ฅผ ์ฐพ์•„๋‚ด์„œ ํ•จ๊ป˜ ๊ณต์œ ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

์—ญ์‚ฌ์ƒ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ์˜คํ”ˆ ์†Œ์Šค ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ ๋“ฑ์žฅ
๋ผ๋งˆ 3.1, ์—ฌ๋Ÿฌ ๋ฒค์น˜๋งˆํฌ ํ…Œ์ŠคํŠธ์—์„œ GPT-4์™€ ๋น„์Šทํ•œ ์„ฑ๋Šฅ ๋ณด์—ฌ
์˜คํ”ˆ ์†Œ์Šค ๊ณต๊ฐœ๋ฅผ ํ†ตํ•ด ํˆฌ๋ช…ํ•˜๊ณ  ์•ˆ์ „ํ•œ ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ ๋˜์–ด์•ผ
Paper in Vintage Typewriter
์‚ฌ์ง„=Pexels

๋ฉ”ํƒ€๋Š” ์—ญ์‚ฌ์ƒ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ์˜คํ”ˆ ์†Œ์Šค ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ(LLM)์ธ ๋ผ๋งˆ 3.1์„ ๊ณต๊ฐœํ–ˆ๋‹ค. ๋ผ๋งˆ 3.1์„ ๋‘๊ณ  ํ˜„์กดํ•˜๋Š” ์ตœ๊ฐ•์˜ AI ๋ชจ๋ธ์ด๋ผ๋ฉฐ ์„ฑ๋Šฅ์— ์ž์‹ ๊ฐ์„ ๋ณด์˜€๋‹ค. ๋”๋ถˆ์–ด ์˜คํ”ˆAI๊ฐ€ ์ฑ—GPT ์ฝ”๋“œ๋ฅผ ๊ณต๊ฐœํ•˜์ง€ ์•Š๋Š” ๋ชจ์Šต์„ ๋ณด๋ฉฐ ํšŒ์‚ฌ๋ช…๊ณผ ๋ชจ์ˆœ์ธ ์ ์„ ๋น„๋‚œํ–ˆ๋‹ค.

๋งˆํฌ ์ €์ปค๋ฒ„๊ทธ โ€œ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ ์—…๊ณ„์—์„œ๋„ ์˜คํ”ˆ ์†Œ์Šค ๋ฌธํ™” ํ™œ์„ฑํ™” ๋˜์–ด์•ผโ€

๋ผ๋งˆ 3.1์€ ์˜์–ด๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์•„๋ž์–ด, ๋…์ผ์–ด, ํžŒ๋””์–ด ๋“ฑ 8๊ฐœ ์–ธ์–ด๋กœ ๋Œ€ํ™”ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๊ธด ๊ธ€ ์š”์•ฝ์—์„œ๋„ ๋†’์€ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ ๊ฐ•๋ ฅํ•œ ์–ธ์–ด ๋ชจ๋ธ๋กœ์„œ ์ž๋ฆฌ๋งค๊น€ํ–ˆ๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ์‚ฌ์šฉ์ž๊ฐ€ ์–ธ์–ด ๋ชจ๋ธ์„ ์‰ฝ๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋„๋ก API๋ฅผ ์ œ๊ณตํ–ˆ๋‹ค. ๋ผ๋งˆ 3.1์€ ์˜คํ”ˆ ์†Œ์Šค๋ฅผ ๊ณต๊ฐœํ•˜๋ฉด์„œ๋„ ์˜คํ”ˆAI์˜ GPT-4์™€ ์•คํŠธ๋กœํ”ฝ์˜ ํด๋กœ๋“œ 3.5 ๋“ฑ๊ณผ ๊ฐ™์ด ์ตœ์‹  ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ๊ณผ ๋น„์Šทํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‹ค.

๋ฉ”ํƒ€ CEO์ธ ๋งˆํฌ ์ €์ปค๋ฒ„๊ทธ๋Š” ๋ผ๋งˆ 3.1์„ ์˜คํ”ˆ ์†Œ์Šค๋กœ ๊ณผ๊ฐํžˆ ๊ณต๊ฐœํ•œ ์‚ฌ๊ฑด์„ ๋‘๊ณ  ๊ฐœ๋ฐœ ์—…๊ณ„์— ๋ณ€๊ณก์ ์ด ๋  ๊ฒƒ์ด๋ผ๊ณ  ์˜ˆ์ƒํ–ˆ๋‹ค. ๋˜ํ•œ ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ ์—…๊ณ„์—์„œ๋„ ์˜คํ”ˆ ์†Œ์Šค๋ฅผ ๊ณต๊ฐœํ•˜๋Š” ๋ฌธํ™”๊ฐ€ ์ •์ฐฉํ•ด์•ผ ํ•œ๋‹ค๊ณ  ์ง€์ ํ–ˆ๋‹ค.

๋ผ๋งˆ 3.1, GPT-4์™€ ๋น„์Šทํ•œ ์„ฑ๋Šฅ ๋ณด์—ฌ

์ด์ „์— ๊ณต๊ฐœํ•œ ๋ผ๋งˆ 3๋Š” 700์–ต ๊ฐœ์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ํ•™์Šตํ–ˆ์œผ๋‚˜, ์ด๋ฒˆ์— ์ถœ์‹œํ•œ ๋ผ๋งˆ 3.1 405B๋Š” ๋ฌด๋ ค 4050์–ต ๊ฐœ์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ๋ชจ๋ธ์„ ํ•™์Šตํ–ˆ๋‹ค. ์ด๋Š” GPT-3๋ฅผ ํ•œ์ฐธ ๋Šฅ๊ฐ€ํ•œ ์ˆ˜์ค€์ด๋‹ค. ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ์—์„œ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ฐœ์ˆ˜๋Š” ๊ทธ ๋ชจ๋ธ์˜ ํฌ๊ธฐ๋ฅผ ๋œปํ•œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ฐœ์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก ๋” ๋งŽ์€ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ๋‚˜์€ ์„ฑ๋Šฅ์„ ๋ณด์ผ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒํ•œ๋‹ค.

๋˜ํ•œ ๋ฉ”ํƒ€๋Š” ๋ผ๋งˆ 3.1์€ ์ผ๋ฐ˜ ์ง€์‹, ์กฐ์ข…์„ฑ, ์ˆ˜ํ•™, ๋„๊ตฌ ์‚ฌ์šฉ, ๋‹ค๊ตญ์–ด ๋ฒˆ์—ญ ๋“ฑ ๋‹ค์–‘ํ•œ ์ž‘์—…์—์„œ GPT-4์™€ ๊ฒฝ์Ÿํ•  ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ค€์ด๋ผ๊ณ  ๋ฐํ˜”๋‹ค. ๋ฒค์น˜๋งˆํฌ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ๋ผ๋งˆ 3.1์€ ์ˆ˜ํ•™ ๋ฒค์น˜๋งˆํฌ ํ…Œ์ŠคํŠธ์—์„œ ํด๋กœ๋“œ 3.5์™€ GPT-4o ๋ชจ๋ธ์„ ๋„˜์–ด์„ฐ๋‹ค. ๋˜ํ•œ ์—…๊ณ„ ํ‘œ์ค€ ํ…Œ์ŠคํŠธ์ธ MMLU(Massive Multitask Language Understanding)์—์„œ๋„ ๊ฒฝ์Ÿ๋ ฅ์„ ์œ ์ง€ํ•˜๋Š” ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค.

๋ชจ๋ธ ํšจ์œจ์„ฑ ํ˜์‹  ์ด๋ฃฌ ๋ฉ”ํƒ€

๊ฒŒ๋‹ค๊ฐ€ ๋ผ๋งˆ 3.1์€ 15์กฐ ๊ฐœ ์ด์ƒ์˜ ํ† ํฐ์œผ๋กœ ํ›ˆ๋ จ๋˜์—ˆ๋‹ค. ํ† ํฐ์€ ์–ธ์–ด์˜ ๊ธฐ๋ณธ ๊ตฌ๋ฌธ ๋‹จ์œ„๋ฅผ ๋งํ•œ๋‹ค. ํ›ˆ๋ จ ๊ณผ์ •์—์„œ ์—”๋น„๋””์•„์˜ H100 GPU๋ฅผ 16000๊ฐœ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ช‡ ๋‹ฌ์ด ๊ฑธ๋ฆด ์ •๋„๋กœ ๊ฑฐ๋Œ€ํ•œ ์–ธ์–ด ๋ชจ๋ธ์ด๋‹ค.

๋ผ๋งˆ 3.1์˜ ์ปจํ…์ŠคํŠธ(Context) ๊ธธ์ด๋Š” 12๋งŒ8์ฒœ๊ฐœ ํ† ํฐ์ด๋‹ค. ์ปจํ…์ŠคํŠธ ๊ธธ์ด๋Š” ์–ธ์–ด ๋ชจ๋ธ์ด ํ•œ ๋ฒˆ์— ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋Š” ์ž…๋ ฅ ํ…์ŠคํŠธ ๊ธธ์ด๋ฅผ ๋œปํ•œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ํ•œ ๋ฒˆ์— ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋Š” ํ…์ŠคํŠธ๊ฐ€ ๋งŽ์„์ˆ˜๋ก ๋” ๋†’์€ ์„ฑ๋Šฅ์„ ๋ณด์ธ๋‹ค. ๊ทธ ์ด์œ ๋Š” ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ ํŠน์„ฑ์ƒ ์ด์ „ ๋ฌธ์žฅ๊ณผ ๊ฐ€์žฅ ์œ ์‚ฌํ•œ ๋‹จ์–ด๋ฅผ ์ถœ๋ ฅํ•˜์—ฌ ํ•œ ๋ฒˆ์— ๊ณ ๋ คํ•  ์ˆ˜ ์žˆ๋Š” ๋‹จ์–ด๊ฐ€ ๋งŽ์œผ๋ฉด ๋งŽ์„์ˆ˜๋ก ๋ฌธ๋งฅ์„ ๋” ์ •ํ™•ํ•˜๊ฒŒ ๊ณ ๋ คํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ปจํ…์ŠคํŠธ ๊ธธ์ด๊ฐ€ ๋Š˜์–ด๋‚ ์ˆ˜๋ก ๋น„์šฉ์€ ๊ธฐํ•˜๊ธ‰์ˆ˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๋ฏ€๋กœ ๊ทธ ์‚ฌ์ด์˜ ๊ท ํ˜•์„ ์ฐพ๋Š” ๊ฒƒ์ด ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ์—์„œ ์ฃผ์š”ํ•œ ๊ณผ์ œ๋กœ ๊ผฝํžŒ๋‹ค.

์ œ๋ฏธ๋‚˜์ด 1.5 ํ”„๋กœ๊ฐ€ 200๋งŒ ์ปจํ…์ŠคํŠธ๋ฅผ ๊ณ ๋ คํ•œ ๊ฒƒ์— ๋น„ํ•ด ๋ผ๋งˆ 3.1์˜ ์ปจํ…์ŠคํŠธ๋Š” ๊ธธ์ง€ ์•Š์ง€๋งŒ, ์ถ”๋ก  ๊ธฐ๋Šฅ์ด ํ–ฅ์ƒ๋˜์–ด ๊ธด ํ…์ŠคํŠธ๋ฅผ ๋” ํšจ๊ณผ์ ์œผ๋กœ ์ฒ˜๋ฆฌํ•˜๊ณ  ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋‹ค.

๋˜ํ•œ ๋ฉ”ํƒ€ AI ์—”์ง€๋‹ˆ์–ด๋“ค์€ ํŠธ๋žœ์Šคํฌ๋จธ ๋ชจ๋ธ ์•„ํ‚คํ…์ฒ˜์— ์•ฝ๊ฐ„์˜ ๋ณ€ํ˜•์„ ์ค˜์„œ ๋” ๋†’์€ ์„ฑ๋Šฅ์„ ๋ณด์ด๊ฒŒ ์„ค๊ณ„ํ–ˆ๋‹ค. ๋ชจ๋ธ ํšจ์œจ์„ฑ ํ˜์‹ ์€ ๋‹จ์ˆœํžˆ ๊ทœ๋ชจ๋ฅผ ํ™•์žฅํ•˜๋Š” ๊ฒƒ์„ ๋„˜์–ด ๋” ํฐ ๋„์›€์ด ๋œ๋‹ค. ์ž‘๊ณ  ๊ด€๋ฆฌํ•˜๊ธฐ ์‰ฌ์šด ๋ชจ๋ธ๋กœ ๋น„์Šทํ•˜๊ฑฐ๋‚˜ ์šฐ์ˆ˜ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋‹ฌ์„ฑํ•˜๋ฉด, ๋น„์šฉ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ™˜๊ฒฝ์—๋„ ์˜ํ–ฅ์„ ์ค˜ ์‚ฌ์šฉ์ž์™€ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ๊ณ ๊ธ‰ AI์— ์‰ฝ๊ฒŒ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋‹ค.

์˜คํ”ˆ ์†Œ์Šค ๋Œ€ํ˜•์–ธ์–ด๋ชจ๋ธ, ํ์‡„ํ˜•๋ณด๋‹ค ํˆฌ๋ช…ํ•˜๊ณ  ์•ˆ์ „ํ•ด

๋˜ํ•œ ๋ฉ”ํƒ€๋Š” ๋ผ๋งˆ 3.1์„ ๊ณต๊ฐœํ•˜๋ฉด์„œ ๋ชจ๋ธ ์•ˆ์ „์„ฑ์„ ๊ฐ•์กฐํ–ˆ๋‹ค. ๋ชจ๋ธ์ด ์ปค์งˆ์ˆ˜๋ก ๋ฐฉ๋Œ€ํ•œ ์–‘์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•ด์•ผ ํ•˜๋ฏ€๋กœ ์•ˆ์ „์„ฑ์„ ๊ด€๋ฆฌํ•˜๊ธฐ๊ฐ€ ์–ด๋ ต๋‹ค๋Š” ์ ์„ ์งš์—ˆ๋‹ค. ๋ฉ”ํƒ€๋Š” ๋ผ๋งˆ 3.1์„ ์ถœ์‹œํ•˜๊ธฐ ์ „์— ์—ฌ๋Ÿฌ ์œ„ํ—˜ ํ‰๊ฐ€์™€ ์•ˆ์ „์„ฑ ํ‰๊ฐ€๋Š” ๋ฌผ๋ก  ์ „๋ฌธ๊ฐ€์™€ ํ•จ๊ป˜ ์ŠคํŠธ๋ ˆ์Šค ํ…Œ์ŠคํŠธ๋ฅผ ์‹œํ–‰ํ–ˆ๋‹ค๊ณ  ๋ฐํ˜”๋‹ค.

๊ฒŒ๋‹ค๊ฐ€ ๋ฉ”ํƒ€๋Š” ๋ชจ๋ธ์˜ ๋‹ค๊ตญ์–ด ๊ธฐ๋Šฅ ํ‰๊ฐ€๋„ ์†Œํ™€ํžˆ ํ•˜์ง€ ์•Š์•˜๋‹ค. ์˜์–ด ์ด์™ธ์˜ ์–ธ์–ด์—์„œ๋„ ์•ˆ์ „ํ•˜๊ณ  ํ•ฉ๋ฆฌ์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ๋„์ถœํ•˜๋„๋ก ์„ค๊ณ„ํ–ˆ๋‹ค. ์ €์ปค๋ฒ„๊ทธ๋Š” ๋ผ๋งˆ 3.1์™€ ๊ฐ™์ด ์˜คํ”ˆ ์†Œ์Šค ๋ชจ๋ธ์€ ํˆฌ๋ช…ํ•˜๊ณ  ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์กฐ์‚ฌํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ฑ—GPT์™€ ๊ฐ™์ด ํ์‡„ํ˜• ๋ชจ๋ธ๋ณด๋‹ค ๋” ์•ˆ์ „ํ•  ๊ฒƒ์ด๋ผ๊ณ  ๊ฐ•์กฐํ–ˆ๋‹ค.

์˜คํ”ˆ ์†Œ์Šค๋กœ ๊ณต๊ฐœํ–ˆ์„ ๋ฟ, ๊ตฌํ˜„ํ•˜๊ธฐ์—๋Š” ํ˜„์‹ค์ ์œผ๋กœ ์–ด๋ ค์›Œ

๋ฉ”ํƒ€๋Š” ์ด์ „ ๋ผ๋งˆ ๋ชจ๋ธ๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ๋ผ๋งˆ 3.1์„ ์˜คํ”ˆ ์†Œ์Šค๋กœ ๊ณต๊ฐœํ–ˆ์œผ๋ฉฐ ๋ˆ„๊ตฌ๋‚˜ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋„๋ก ๋งŒ๋“ค์—ˆ๋‹ค. ์‹ค์ œ๋กœ ํ—ˆ๊น… ํŽ˜์ด์Šค(Hugging Face), ๊นƒํ—ˆ๋ธŒ ๋˜๋Š” ๋ฉ”ํƒ€์—์„œ ์ง์ ‘ ๋‚ด๋ ค๋ฐ›์„ ์ˆ˜ ์žˆ๋‹ค.

๊ทธ๋Ÿฌ๋‚˜ ์•„์ด๋ฆฌ์Šค์—์ด์•„์ด(Iris.ai)์˜ CTO๊ฒธ ๊ณต๋™ ์ฐฝ๋ฆฝ์ž์ธ ๋น…ํ„ฐ ๋ณดํ…Œ๋ธŒ๋Š” ์ด ๋ชจ๋ธ์„ ์‹คํ–‰ํ•˜๋ ค๋ฉด ์ƒ๋‹นํ•œ ๊ทœ๋ชจ์˜ ํ•˜๋“œ์›จ์–ด๊ฐ€ ํ•„์š”ํ•˜์—ฌ ์‚ฌ์‹ค์ƒ ์ ‘๊ทผ์ด ์‰ฝ์ง€ ์•Š๋‹ค๊ณ  ํ–ˆ๋‹ค. ์˜คํ”ˆ ์†Œ์Šค๋กœ ๊ณต๊ฐœํ–ˆ์„ ๋ฟ, ํ˜„์‹ค์ ์œผ๋กœ ์ด๋ฅผ ๊ตฌํ˜„ํ•  ์ˆ˜๋Š” ์—†๋‹ค๊ณ  ๋ง๋ถ™์˜€๋‹ค.

๋ณดํ…Œ๋ธŒ๋Š” ๋Œ€๋ถ€๋ถ„ ์—ฐ๊ตฌ์ž์™€ ์กฐ์ง์ด ๋Œ€๊ทœ๋ชจ ๋ชจ๋ธ์„ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ธํ”„๋ผ๊ฐ€ ๋ถ€์กฑํ•˜๋‹ค๋Š” ์ ์„ ์ง€์ ํ–ˆ๋‹ค. ๋˜ํ•œ ๋Œ€๊ทœ๋ชจ ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๊ณ  ์‹คํ–‰ํ•˜๋Š” ๋ฐ ๋”ฐ๋ฅด๋Š” ํ™˜๊ฒฝ์  ์˜ํ–ฅ์„ ๋ฌด์‹œํ•  ์ˆ˜ ์—†๋‹ค๊ณ  ์–ธ๊ธ‰ํ–ˆ๋‹ค.

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์„ธ์ƒ์€ ์ด์•ผ๊ธฐ๋กœ ๋งŒ๋“ค์–ด์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋งŒ ์šฐ๋ฆฌ ๋ˆˆ์— ๊ทธ ์ด์•ผ๊ธฐ๊ฐ€ ๋ณด์ด์ง€ ์•Š์„ ๋ฟ์ž…๋‹ˆ๋‹ค. ์ˆจ๊ฒจ์ง„ ์ด์•ผ๊ธฐ๋ฅผ ์ฐพ์•„๋‚ด์„œ ํ•จ๊ป˜ ๊ณต์œ ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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AI ํˆฌ์ž ํ™•๋Œ€ ๋‚˜์„  ์ผ๋ก  ๋จธ์Šคํฌ, 'xAI'์— ํ…Œ์Šฌ๋ผ ์ž๊ธˆ 50์–ต ๋‹ฌ๋Ÿฌ ํˆฌ์ž… ๋…ผ์˜๋„ ๋ณธ๊ฒฉํ™”

AI ํˆฌ์ž ํ™•๋Œ€ ๋‚˜์„  ์ผ๋ก  ๋จธ์Šคํฌ, 'xAI'์— ํ…Œ์Šฌ๋ผ ์ž๊ธˆ 50์–ต ๋‹ฌ๋Ÿฌ ํˆฌ์ž… ๋…ผ์˜๋„ ๋ณธ๊ฒฉํ™”
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๊ฐ€๊ณต๋˜์ง€ ์•Š์€ ์ •๋ณด๋Š” ๊ฑฐ์น ๊ธฐ ๋งˆ๋ จ์ž…๋‹ˆ๋‹ค. ํŒŒํŽธํ™”๋œ ์ •๋ณด๋ฅผ ์ •๋ฆฌํ•ด ์‚ฌํšŒ ํ˜„์žฅ์„ ๋ถ€๋“œ๋Ÿฝ๊ณ ๋„ ๊ฐ€๊ฐ ์—†์ด ์ „๋‹ฌํ•  ์ˆ˜ ์žˆ๋„๋ก ๋…ธ๋ ฅํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

xAI ์ถ”๊ฐ€ ํˆฌ์ž ์‹œ์‚ฌํ•œ ๋จธ์Šคํฌ, ํ…Œ์Šฌ๋ผ ์ฃผ๊ฐ€ 1.97% ์ƒ์Šน
๋งˆ๋•…ํ•œ ์ˆ˜์ต์› ์—†๋Š” xAI, ์ž๊ธˆ ์ˆ˜ํ˜ˆ ํ†ตํ•ด ์ธํ”„๋ผ ๋“ฑ ๊ธฐ๋ฐ˜ ์Œ“๋‚˜
๋จธ์Šคํฌ ๋‘˜๋Ÿฌ์‹ผ ์ดํ•ด๊ด€๊ณ„ ์ถฉ๋Œ ๋…ผ๋ž€, ์˜คํ”ˆAI ์ด์‚ฌ์ง ์‚ฌ์ž„ ๊ณผ๊ฑฐ ์žฌ์กฐ๋ช…
Xai tesla TE 20240726

์ผ๋ก  ๋จธ์Šคํฌ ํ…Œ์Šฌ๋ผ CEO(์ตœ๊ณ ๊ฒฝ์˜์ž)๊ฐ€ ์ž์‹ ์ด ์„ค๋ฆฝํ•œ AI ์Šคํƒ€ํŠธ์—… xAI์— ํ…Œ์Šฌ๋ผ ์ž๊ธˆ์„ ํˆฌ์žํ• ์ง€์— ๋Œ€ํ•ด ์ด์‚ฌํšŒ์™€ ๋…ผ์˜ํ•˜๊ฒ ๋‹ค๊ณ  ๋ฐœํ‘œํ–ˆ๋‹ค. ์ธํ”„๋ผ ํ™•์ถฉ ๋ฐ ๊ฒฝ์Ÿ๋ ฅ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•ด ์ถ”๊ฐ€ ํˆฌ์ž๋ฅผ ํƒ€์ง„ํ•œ ๊ฒƒ์œผ๋กœ ํ’€์ด๋œ๋‹ค.

๋จธ์Šคํฌ CEO, xAI์— ํˆฌ์ž ๊ฐ€๋Šฅ์„ฑ ์‹œ์‚ฌ

25์ผ(ํ˜„์ง€ ์‹œ๊ฐ) ๋จธ์Šคํฌ๊ฐ€ xAI์— ํ…Œ์Šฌ๋ผ ์ž๊ธˆ 50์–ต ๋‹ฌ๋Ÿฌ(์•ฝ 6์กฐ9,180์–ต์›) ํˆฌ์ž ๋…ผ์˜๋ฅผ ๋ณธ๊ฒฉํ™”ํ•˜๊ฒ ๋‹ค๊ณ  ์ „ํ–ˆ๋‹ค. ์ง€๋‚œ 23์ผ ์ž์‹ ์˜ X(์˜› ํŠธ์œ„ํ„ฐ)์— "ํ…Œ์Šฌ๋ผ๊ฐ€ xAI์— 50์–ต ๋‹ฌ๋Ÿฌ๋ฅผ ํˆฌ์žํ•ด์•ผ ํ• ๊นŒ?(Should Tesla invest $5B into xAl, assuming the valuation is set by several credible outside investors?)"๋ผ๋Š” ์งˆ๋ฌธ์„ ์˜ฌ๋ฆฌ๊ณ  ํ•˜๋ฃจ ๋™์•ˆ ์˜จ๋ผ์ธ ํˆฌํ‘œ๋ฅผ ํ†ตํ•ด ์˜๊ฒฌ์„ ๊ตฌํ•œ ๋ฐ ๋”ฐ๋ฅธ ํ›„์† ์กฐ์น˜๋‹ค. ํ•ด๋‹น ํˆฌํ‘œ์—” ์ด 95๋งŒ8,086๋ช…์ด ์ฐธ์—ฌํ–ˆ์œผ๋ฉฐ, ์ฐฌ์„ฑํ‘œ๊ฐ€ 67.9%, ๋ฐ˜๋Œ€ํ‘œ๊ฐ€ 32.1% ๋‚˜์™”๋‹ค.

xAI์— ๋Œ€ํ•œ ํˆฌ์ž ๊ฐ€๋Šฅ์„ฑ์ด ๊ฐ€์‹œํ™”ํ•˜์ž ๋‰ด์š•์ฆ์‹œ์—์„œ ํ…Œ์Šฌ๋ผ์˜ ์ฃผ๊ฐ€๋Š” ์ „์žฅ ๋Œ€๋น„ 1.97% ์˜ค๋ฅธ 220.25๋‹ฌ๋Ÿฌ์— ๋งˆ๊ฐํ–ˆ๋‹ค. 2๋ถ„๊ธฐ ์‹ค์  ์ €์กฐ ๋ฐ ๋กœ๋ณดํƒ์‹œ ๊ณต๊ฐœ ์—ฐ๊ธฐ ๋“ฑ์œผ๋กœ ์‹ค๋ง๊ฐ์ด ํ™•์‚ฐํ•˜๋ฉด์„œ ์•ฝ 12% ๊ธ‰๋ฝํ–ˆ๋˜ ์ฃผ๊ฐ€๊ฐ€ ์ด๋‚  ๋ฐ˜๋“ฑ์— ์„ฑ๊ณตํ•œ ๊ฒƒ์ด๋‹ค. ๋งˆ๊ฐ์„ ์•ž๋‘๊ณ  ์ƒ์Šน ํญ์ด ์ผ๋ถ€ ์ค„์—ˆ์ง€๋งŒ ์žฅ ์ค‘ ํ•œ๋•Œ 4%๊ฐ€ ๋„˜๋Š” ์ƒ์Šน๋ฅ ์„ ๋ณด์ด๊ธฐ๋„ ํ–ˆ๋‹ค.

5์›”์—” 60์–ต ๋‹ฌ๋Ÿฌ ํŽ€๋”ฉ ์„ฑ๊ณตํ•˜๊ธฐ๋„

xAI๊ฐ€ ์ž๊ธˆ์„ ์ˆ˜ํ˜ˆ๋ฐ›๋Š” ๊ฑด ์ด๋ฒˆ์ด ์ฒ˜์Œ์€ ์•„๋‹ˆ๋‹ค. ๋กœ์ดํ„ฐํ†ต์‹ ์— ๋”ฐ๋ฅด๋ฉด xAI๋Š” ์ง€๋‚œ 5์›”์—๋„ 60์–ต ๋‹ฌ๋Ÿฌ(์•ฝ 8์กฐ1,500์–ต์›)๊ฐ€๋Ÿ‰์˜ ํŽ€๋”ฉ์— ์„ฑ๊ณตํ–ˆ๋‹ค. ํŽ€๋”ฉ์— ์ฐธ์—ฌํ•œ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ ๊ณณ์€ ์•ค๋“œ๋ฆฌ์Šจ ํ˜ธ๋กœ๋น„์ธ , ์„ธ์ฟผ์ด์•„ ์บํ”ผํ„ธ, ์‚ฌ์šฐ๋””์•„๋ผ๋น„์•„์˜ ํ‚น๋ค ํ™€๋”ฉ์Šค ๋“ฑ์ด๋‹ค. ๋‹น์‹œ ํŽ€๋”ฉ์„ ํ†ตํ•ด xAI์˜ ํ‰๊ฐ€์•ก์€ ์ด์ „ 180์–ต ๋‹ฌ๋Ÿฌ์—์„œ ์‚ฌํ›„ 240์–ต ๋‹ฌ๋Ÿฌ(์•ฝ 32์กฐ6,000์–ต์›)๊นŒ์ง€ ๋Š˜์—ˆ๋‹ค. AI ์Šคํƒ€ํŠธ์—…์œผ๋กœ์„  ์˜คํ”ˆAI์˜ 860์–ต ๋‹ฌ๋Ÿฌ(์•ฝ 117์กฐ์›)์— ์ด์–ด ์„ธ๊ณ„์—์„œ ๋‘ ๋ฒˆ์งธ๋กœ ๋†’์€ ์ˆ˜์ค€์ด๋‹ค.

์ด๋Ÿฐ ๊ฐ€์šด๋ฐ ๋จธ์Šคํฌ๊ฐ€ ์ถ”๊ฐ€ ํˆฌ์ž๋ฅผ ์‹œ์‚ฌํ•˜๊ณ  ๋‚˜์„  ๊ฒƒ์€ xAI๊ฐ€ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ์Šˆํผ์ปดํ“จํŒ… ์ธํ”„๋ผ๋ฅผ ๊ฐ–์ถ”๊ธฐ ์œ„ํ•ด์„  ์ˆ˜๋ฐฑ์–ต ๋‹ฌ๋Ÿฌ ์ˆ˜์ค€์˜ ์ž๊ธˆ์ด ๋” ํ•„์š”ํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. xAI์— ๋งˆ๋•…ํ•œ ์ˆ˜์ต์›์ด ์—†๋Š” ์ƒํƒœ๋ž€ ์ ๋„ ์˜ํ–ฅ์„ ๋ฏธ์นœ ๊ฒƒ์œผ๋กœ ํ•ด์„๋œ๋‹ค. ์‹ค์ œ xAI๋Š” AI ์ฑ—๋ด‡ '๊ทธ๋ก'์„ X ํ”„๋ฆฌ๋ฏธ์—„ ์‚ฌ์šฉ์ž์—๊ฒŒ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ ์™ธ์—” ์ˆ˜์ต์›์ด ์ „๋ฌดํ•˜๋‹ค. ์†Œ์œ„ '๋จธ์Šค์ฝ”๋…ธ๋ฏธ(Muskonomy, ๋จธ์Šคํฌ์˜ ๊ฒฝ์ œ ์ƒํƒœ๊ณ„)'์— ๋Œ€ํ•œ ์˜์กด๋„๊ฐ€ ๋†’์€ xAI์˜ ๋ฌธ์ œ๋ฅผ ํƒ€ํŒŒํ•˜๊ธฐ ์œ„ํ•ด์„  ์ถ”๊ฐ€ ํˆฌ์ž๊ฐ€ ๋ถˆ๊ฐ€ํ”ผํ•œ ์ƒํ™ฉ์ด๋ž€ ์˜๋ฏธ๋‹ค.

AI Competion fierce TE 20240726

AI ํˆฌ์ž ๋ฒ ํŒ… ์น˜์—ด, MS๋„ ์˜คํ”ˆAI์— 130์–ต ๋‹ฌ๋Ÿฌ ํˆฌ์ž…

xAI์— ๋Œ€ํ•œ ํˆฌ์ž๋Š” ์ดํ›„๋กœ๋„ ๊ณ„์†๋  ๊ฒƒ์œผ๋กœ ์ „๋ง๋œ๋‹ค. ๋จธ์Šคํฌ๊ฐ€ xAI๋ฅผ ์ฐฝ์—…ํ•  ๋‹น์‹œ ๋‚ด๊ฑธ์—ˆ๋˜ ๋ชฉํ‘œ๊ฐ€ '์˜คํ”ˆAI๋ฅผ ํฌํ•จํ•œ ์ƒ์„ฑํ˜• AI ํšŒ์‚ฌ๋“ค๊ณผ์˜ ์ง์ ‘ ๊ฒฝ์Ÿ'์ด์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. AI ํˆฌ์ž ๋ฒ ํŒ… ๊ฒฝ์Ÿ์ด ์น˜์—ดํ•ด์ง€๊ณ  ์žˆ๋‹จ ์ ๋„ ํˆฌ์ž ์œ ์ธ ๋™๊ธฐ๊ฐ€ ๋  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์‹ค์ œ ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ(MS)๋Š” ์ตœ๊ทผ ์˜คํ”ˆAI์— ์•ฝ 130์–ต ๋‹ฌ๋Ÿฌ๋ฅผ ํˆฌ์žํ–ˆ๊ณ , ์•„๋งˆ์กด์€ ์•ค์Šค๋กœํ”ฝ์— ์•ฝ 40์–ต ๋‹ฌ๋Ÿฌ๋ฅผ ํˆฌ์žํ•œ ๋ฐ” ์žˆ๋‹ค.

๋‹ค๋งŒ ์ผ๊ฐ์—์„  ๋จธ์Šคํฌ๊ฐ€ xAI์— ํˆฌ์žํ• ์ˆ˜๋ก ์ดํ•ด์ถฉ๋Œ ๋ฌธ์ œ๊ฐ€ ์žฌ์ฐจ ๋ถˆ๊ฑฐ์งˆ ์ˆ˜ ์žˆ๋‹ค๋Š” ์˜๊ฒฌ์ด ๋‚˜์˜จ๋‹ค. ๋จธ์Šคํฌ๋Š” ํ…Œ์Šฌ๋ผ์™€ xAI ์™ธ์—๋„ X, ์ŠคํŽ˜์ด์ŠคX, ์†”๋ผ์‹œํ‹ฐ, ๋‰ด๋Ÿด๋งํฌ, ๋ณด๋ง์ปดํผ๋‹ˆ ๋“ฑ 6๊ฐœ์˜ ํšŒ์‚ฌ๋ฅผ ์ด๋Œ๊ณ  ์žˆ์–ด์„œ๋‹ค. ๋จธ์Šคํฌ์˜ ๊ฐ ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ๊ฒฐ์ •์ด ํ…Œ์Šฌ๋ผ๋กœ์„œ๋Š” ์•ˆ ์ข‹์€ ๊ฒฐ๊ณผ๋กœ ์ž‘์šฉํ•  ์ˆ˜ ์žˆ๋‹จ ๊ฒƒ์ด๋‹ค. ํ…Œ์Šฌ๋ผ๊ฐ€ ์—”๋น„๋””์•„์— ์ฃผ๋ฌธํ•œ ์ˆ˜์ฒœ ๊ฐœ์˜ ๊ทธ๋ž˜ํ”ฝ์ฒ˜๋ฆฌ์žฅ์น˜(GPU)๋ฅผ xAI์™€ X์— ์„ ๊ณต๊ธ‰ํ•œ ๊ฒŒ ๋Œ€ํ‘œ์ ์ธ ์‚ฌ๋ก€๋‹ค.

๋จธ์Šคํฌ๊ฐ€ ๊ณผ๊ฑฐ ์ดํ•ด์ถฉ๋Œ ๋ฌธ์ œ๋กœ ์˜คํ”ˆAI ์ด์‚ฌ์ง์„ ์‚ฌ์ž„ํ•œ ๋ฐ” ์žˆ๋‹จ ์ ๋„ ๋…ผ๋ž€์„ ํ‚ค์šด๋‹ค. ์•ž์„œ ์ง€๋‚œ 2015๋…„ ๋จธ์Šคํฌ๋Š” ์ƒ˜ ์šธํŠธ๋จผ ์˜คํ”ˆAI CEO์™€ ํ•จ๊ป˜ ์˜คํ”ˆAI๋ฅผ ๊ณต๋™ ์ฐฝ๋ฆฝํ–ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ 2018๋…„ ํ…Œ์Šฌ๋ผ์˜ AI ์—ฐ๊ตฌ๊ฐ€ ๋ณธ๊ฒฉํ™”ํ•˜์ž ์ž ์žฌ์ ์ธ ์ดํ•ด๊ด€๊ณ„ ์ถฉ๋Œ ๋…ผ๋ž€์ด ์ผ์—ˆ๊ณ , ๋จธ์Šคํฌ๋Š” ๊ฒฐ๊ตญ ์˜คํ”ˆAI ์ด์‚ฌ์ง์„ ์‚ฌ์ž„ํ–ˆ๋‹ค.

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๊ฐ€๊ณต๋˜์ง€ ์•Š์€ ์ •๋ณด๋Š” ๊ฑฐ์น ๊ธฐ ๋งˆ๋ จ์ž…๋‹ˆ๋‹ค. ํŒŒํŽธํ™”๋œ ์ •๋ณด๋ฅผ ์ •๋ฆฌํ•ด ์‚ฌํšŒ ํ˜„์žฅ์„ ๋ถ€๋“œ๋Ÿฝ๊ณ ๋„ ๊ฐ€๊ฐ ์—†์ด ์ „๋‹ฌํ•  ์ˆ˜ ์žˆ๋„๋ก ๋…ธ๋ ฅํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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"์ฃผ์ฃผ ๋ฐ˜๋Œ€์— ๊ธˆ์œต๊ฐ๋…์› ์ œ๋™๊นŒ์ง€" ์•”์ดˆ ๋ถ€๋”ชํžŒ ๋‘์‚ฐ๋ฐฅ์บฃ-๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ํ•ฉ๋ณ‘

"์ฃผ์ฃผ ๋ฐ˜๋Œ€์— ๊ธˆ์œต๊ฐ๋…์› ์ œ๋™๊นŒ์ง€" ์•”์ดˆ ๋ถ€๋”ชํžŒ ๋‘์‚ฐ๋ฐฅ์บฃ-๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ํ•ฉ๋ณ‘
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๋…์ž ์—ฌ๋Ÿฌ๋ถ„๊ณผ '์ •๋ณด์˜ ํ™์ˆ˜'๋ฅผ ํ•จ๊ป˜ ํ—ค์ณ ๋‚˜๊ฐˆ ์ˆ˜ ์žˆ๋Š” ๋—๋ชฉ์ด ๋˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค. ์—ฌํ–‰ ์ค‘ ๊ธธ์„ ์žƒ์ง€ ์•Š๋„๋ก ์ •ํ™•ํ•˜๊ณ  ์นœ์ ˆํ•˜๊ฒŒ ์•ˆ๋‚ดํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

๊ธˆ์œต๊ฐ๋…์›, ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์— ์ฆ๊ถŒ์‹ ๊ณ ์„œ ์ •์ • ์ œ์ถœ ์š”๊ตฌ
"ํ•ฉ๋ณ‘ ๋น„์œจ ๋ง๋„ ์•ˆ ๋ผ" ํˆฌ์ž์ž ๋น„ํŒ ์† ๋ฏธ๋„๋Ÿฌ์ง€๋Š” ๊ทธ๋ฃน์ฃผ ์ฃผ๊ฐ€
ํ•ฉ๋ณ‘ ์ตœ๋Œ€ ๋ณ€์ˆ˜๋Š” ์†Œ์•ก์ฃผ์ฃผ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ ๊ทœ๋ชจ?
doosan bobcat robotics 20240726 new

๋‘์‚ฐ๊ทธ๋ฃน ์ง€๋ฐฐ๊ตฌ์กฐ ๊ฐœํŽธ๊ณผ ๊ด€๋ จํ•ด ์‹œ์žฅ ๊ณณ๊ณณ์—์„œ ์žก์Œ์ด ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ํˆฌ์ž์ž๋“ค์ด ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์™€ ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ํ•ฉ๋ณ‘ ๋น„์œจ ์‚ฐ์ •์— ๋Œ€ํ•œ ๋น„ํŒ์„ ์Ÿ์•„๋‚ด๋Š” ๊ฐ€์šด๋ฐ, ๊ธˆ์œต๊ฐ๋…์›์ด ์ง์ ‘ ์ฆ๊ถŒ์‹ ๊ณ ์„œ ์ •์ • ์ œ์ถœ์„ ์š”๊ตฌํ•˜๋ฉฐ ํ•ฉ๋ณ‘์— ์ œ๋™์„ ๊ฑธ๊ณ  ๋‚˜์„œ๋ฉด์„œ๋‹ค. ์—…๊ณ„์—์„œ๋Š” ๊ทธ๋ฃน์ฃผ ์ฃผ๊ฐ€ ํ•˜๋ฝ, ์†Œ์•ก์ฃผ์ฃผ ์ €ํ•ญ ๋“ฑ์œผ๋กœ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ๊ฐ€ ๊ธ‰์ฆํ•  ๊ฒฝ์šฐ ํ•ฉ๋ณ‘ ์ž์ฒด๊ฐ€ ๋ฌด์‚ฐ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ „๋ง์„ ๋‚ด๋†“๊ณ  ์žˆ๋‹ค.

๋กœ๋ณดํ‹ฑ์Šค-๋ฐฅ์บฃ ํ•ฉ๋ณ‘ ์ฃผ์‹œํ•˜๋Š” ๊ธˆ์œต๋‹น๊ตญ

25์ผ ๊ธˆ์œตํˆฌ์ž์—…๊ณ„์— ๋”ฐ๋ฅด๋ฉด ๊ธˆ์œต๊ฐ๋…์›์€ ์ง€๋‚œ 15์ผ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค๊ฐ€ ์ œ์ถœํ•œ 'ํ•ฉ๋ณ‘' ๋ฐ '์ฃผ์‹์˜ ํฌ๊ด„์  ๊ตํ™˜ยท์ด์ „' ์ฆ๊ถŒ์‹ ๊ณ ์„œ์— ๋Œ€ํ•ด ๋ฌธ์ œ๊ฐ€ ์žˆ๋‹ค๊ณ  ํŒ๋‹จ, ์ •์ • ์ œ์ถœ์„ ์š”๊ตฌํ–ˆ๋‹ค๊ณ  ๊ณต์‹œํ–ˆ๋‹ค. ์ž๋ณธ์‹œ์žฅ๋ฒ•์— ๋”ฐ๋ฅด๋ฉด ๊ธˆ์œต๊ฐ๋…์›์€ โ–ณ์ฆ๊ถŒ์‹ ๊ณ ์„œ์˜ ํ˜•์‹์„ ์ œ๋Œ€๋กœ ๊ฐ–์ถ”์ง€ ์•Š์€ ๊ฒฝ์šฐ โ–ณ์ค‘์š” ์‚ฌํ•ญ์— ๊ด€ํ•ด ๊ฑฐ์ง“์˜ ๊ธฐ์žฌ ๋˜๋Š” ํ‘œ์‹œ๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ โ–ณ์ค‘์š” ์‚ฌํ•ญ์ด ๊ธฐ์žฌ ๋˜๋Š” ํ‘œ์‹œ๋˜์ง€ ์•Š์€ ๊ฒฝ์šฐ โ–ณ์ค‘์š” ์‚ฌํ•ญ์˜ ๊ธฐ์žฌ๋‚˜ ํ‘œ์‹œ ๋‚ด์šฉ์ด ๋ถˆ๋ถ„๋ช…ํ•œ ๊ฒฝ์šฐ ๋“ฑ์— ์ฆ๊ถŒ์‹ ๊ณ ์„œ ์ •์ •์„ ์š”๊ตฌํ•  ์ˆ˜ ์žˆ๋‹ค.

๋‘์‚ฐ๊ทธ๋ฃน์€ "๊ธˆ์œต๋‹น๊ตญ์˜ ์ฆ๊ถŒ์‹ ๊ณ ์„œ ์ •์ • ์š”์ฒญ์€ ํ†ต์ƒ์ ์ธ ์ ˆ์ฐจ"๋ผ๋ฉฐ "์š”๊ตฌ ์‚ฌํ•ญ์— ๋งž์ถฐ ์ž˜ ์ค€๋น„ํ•ด ์ตœ๋Œ€ํ•œ ๋น ๋ฅธ ์‹œ์ผ ์•ˆ์— ์ฆ๊ถŒ์‹ ๊ณ ์„œ๋ฅผ ๋‹ค์‹œ ์ œ์ถœํ•˜๊ฒ ๋‹ค"๋Š” ์ž…์žฅ์„ ๋ฐํžŒ ์ƒํƒœ๋‹ค. ๋‹ค๋งŒ ์—…๊ณ„์—์„œ๋Š” ๊ธˆ์œต๊ฐ๋…์›์ด ์ฆ๊ถŒ์‹ ๊ณ ์„œ ์ •์ • ์ œ์ถœ์„ ์š”๊ตฌํ•˜๋ฉฐ ์‹œ์žฅ ์žก์Œ์„ ๋‚ณ๊ณ  ์žˆ๋Š” ๋‘์‚ฐ ์ธก์˜ ์ง€๋ฐฐ๊ตฌ์กฐ ๊ฐœํŽธ ์›€์ง์ž„์— ๋ธŒ๋ ˆ์ดํฌ๋ฅผ ๊ฑธ์—ˆ๋‹ค๋Š” ํ‰์ด ํ˜๋Ÿฌ๋‚˜์˜จ๋‹ค. ๋‘์‚ฐ์€ ํ˜„์žฌ ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ์˜ ์žํšŒ์‚ฌ์ธ ๋‘์‚ฐ๋ฐฅ์บฃ์„ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์˜ 100% ์žํšŒ์‚ฌ๋กœ ํŽธ์ž…ํ•œ ๋’ค ํ–ฅํ›„ ํก์ˆ˜ํ•ฉ๋ณ‘ํ•˜๋Š” ์ง€๋ฐฐ๊ตฌ์กฐ ๊ฐœํŽธ์•ˆ์„ ์ถ”์ง„ํ•˜๊ณ  ์žˆ๋‹ค. ๋‘์‚ฐ๋ฐฅ์บฃ๊ณผ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์˜ ์ฃผ๋‹น ๊ฐ€์น˜๋Š” ๊ฐ๊ฐ 5๋งŒ612์›, 8๋งŒ114์›์œผ๋กœ ํ‰๊ฐ€๋์œผ๋ฉฐ, ํ•ฉ๋ณ‘ ๋น„์œจ์€ 1๋Œ€ 0.63์œผ๋กœ ์‚ฐ์ •๋๋‹ค.

์ด๋ฅผ ๋‘๊ณ  ์‹œ์žฅ์—์„œ ์–‘ ์‚ฌ์˜ ํ•ฉ๋ณ‘ ๋น„์œจ์— ๋Œ€ํ•œ ๋น„ํŒ์ด ์Ÿ์•„์ ธ ๋‚˜์˜ค๊ณ  ์žˆ๋‹ค. ๋‘์‚ฐ๊ทธ๋ฃน์˜ ๋ถ€์ ์ ˆํ•œ ํ•ฉ๋ณ‘ ๋น„์œจ ์‚ฐ์ •์œผ๋กœ ์ธํ•ด ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ๊ธฐ์—…๊ฐ€์น˜๊ฐ€ ์ง€๋‚˜์น˜๊ฒŒ ๋ถ€ํ’€๋ ค์ง€๊ณ , ๋‘์‚ฐ๋ฐฅ์บฃ ๊ธฐ์—…๊ฐ€์น˜๋Š” ํ‰๊ฐ€์ ˆํ•˜๋๋‹ค๋Š” ์ฃผ์žฅ์ด๋‹ค. ์‹ค์ œ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค๋Š” ์ง€๋‚œํ•ด ๋งค์ถœ 530์–ต์›, ์˜์—…์ ์ž 158์–ต์›์„ ๊ธฐ๋กํ•œ ์ ์ž ํšŒ์‚ฌ๋‹ค. ๋ฐ˜๋ฉด ๋‘์‚ฐ๋ฐฅ์บฃ์€ ์ง€๋‚œํ•ด ๋งค์ถœ์•ก๊ณผ ์˜์—…์ด์ต๋งŒ ๊ฐ๊ฐ 9์กฐ7,000์–ต์›๊ณผ 1์กฐ3,000์–ต์›์— ์ด๋ฅด๋Š” '์•Œ์งœ ์žํšŒ์‚ฌ'๋ผ๋Š” ํ‰๊ฐ€๋ฅผ ๋ฐ›๋Š”๋‹ค.

์•…ํ™”ํ•˜๋Š” ์—ฌ๋ก , ์ฃผ๊ฐ€ ์ค„์ค„์ด ํ•˜๋ฝ์„ธ

๋‘์‚ฐ์˜ ์ง€๋ฐฐ๊ตฌ์กฐ ๊ฐœํŽธ ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ๋น„ํŒ์  ์—ฌ๋ก ์€ ๋‘์‚ฐ๋ฐฅ์บฃยท๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ ํˆฌ์ž์ž ๋“ฑ์„ ์ค‘์‹ฌ์œผ๋กœ ์ ์ฐจ ํ™•์‚ฐํ•˜๋Š” ์–‘์ƒ์ด๋‹ค. ์ฒœ์ค€๋ฒ” ํ•œ๊ตญ๊ธฐ์—…๊ฑฐ๋ฒ„๋„Œ์Šคํฌ๋Ÿผ ๋ถ€ํšŒ์žฅ์€ 22์ผ '๋‘์‚ฐ๊ทธ๋ฃน ์ผ€์ด์Šค๋กœ ๋ณธ ์ƒ์žฅํšŒ์‚ฌ ๋ถ„ํ•  ํ•ฉ๋ณ‘ ์ œ๋„์˜ ๋ฌธ์ œ์ '์„ ์ฃผ์ œ๋กœ ํ•œ ์„ธ๋ฏธ๋‚˜์—์„œ "๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ, ๋‘์‚ฐ๋ฐฅ์บฃ ์ฃผ์ฃผ์—๊ฒŒ๋Š” ๋ถ„ํ• ํ•ฉ๋ณ‘ยท์ฃผ์‹๊ตํ™˜์œผ๋กœ ๋ฐ›๊ฒŒ ๋  ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ์ฃผ์‹์˜ ์ดˆ๊ณ ํ‰๊ฐ€ ์ƒํƒœ, ์ฃผ๊ฐ€ ํ•˜๋ฝ ๊ฐ€๋Šฅ์„ฑ์ด ๊ฐ€์žฅ ํฐ ํ•ต์‹ฌ ์œ„ํ—˜ ์š”์†Œ"๋ผ๋ฉฐ "์ด ๋‚ด์šฉ์ด ๋Œ€๋‹จํžˆ ์ถ”์ƒ์ ์œผ๋กœ๋งŒ ๊ธฐ์žฌ๋˜๊ณ  ์ œ๋Œ€๋กœ ๊ณ ์ง€๋˜์ง€ ์•Š์•˜๋‹คโ€๊ณ  ์ง€์ ํ–ˆ๋‹ค.

๋‘์‚ฐ๋ฐฅ์บฃ์˜ ์™ธ๊ตญ์ธ ๊ธฐ๊ด€ ํˆฌ์ž์ž์ธ ์…˜ ๋ธŒ๋ผ์šด(Sean Brown) ํ…Œํ†ค์บํ”ผํƒˆ ์ด์‚ฌ ์—ญ์‹œ ํ•ด๋‹น ์„ธ๋ฏธ๋‚˜์— ์ฐธ์„, ๋‘์‚ฐ๋ฐฅ์บฃ๊ณผ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์˜ ํ•ฉ๋ณ‘ ๊ฑด์— ๋Œ€ํ•œ ๋น„ํŒ์  ๊ฒฌํ•ด๋ฅผ ๋“œ๋Ÿฌ๋ƒˆ๋‹ค. ๊ทธ๋Š” โ€œ๋ฏธ๊ตญ์—์„œ ํ”ํžˆ ํ•ฉ๋ณ‘ ๋น„์œจ ์‚ฐ์ •์— ํ™œ์šฉํ•˜๋Š” ๊ธฐ์—…๊ฐ€์น˜(TEVยทTotal Enterprise Value)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์ž์ฒด ์‚ฐ์ •ํ•œ ๋ฐฅ์บฃ์˜ ์ ์ • ๊ธฐ์—…๊ฐ€์น˜๋Š” ์ˆœํ˜„๊ธˆ์„ ๋”ํ•ด ์•ฝ 15์กฐ์›์ด๊ณ , ๋กœ๋ณดํ‹ฑ์Šค๋Š” 7,000์–ต์›์— ๋ถˆ๊ณผํ•˜๋‹คโ€๋ฉฐ โ€œ์ ์ • ํ•ฉ๋ณ‘๋น„์œจ์ด 96 ๋Œ€ 4์ธ๋ฐ, 49 ๋Œ€ 51๋กœ ํ•ฉ๋ณ‘๋น„์œจ์ด ๊ฒฐ์ •๋˜๋ฉด์„œ ๋ฐฅ์บฃ ์ฃผ์‹์€ ํœด์ง€ ์กฐ๊ฐ์ด ๋๋‹คโ€๊ณ  ์ผ๊ฐˆํ–ˆ๋‹ค.

ํˆฌ์ž์ž๋“ค์˜ ๋งน๊ณต ์† ๊ทธ๋ฃน์ฃผ ์ฃผ๊ฐ€๋Š” ์ค„์ค„์ด ์ถ”๋ฝํ•˜๊ณ  ์žˆ๋‹ค. ํ•œ๊ตญ๊ฑฐ๋ž˜์†Œ์— ๋”ฐ๋ฅด๋ฉด 25์ผ ๋‘์‚ฐ์€ ์ „๋‚ ๋ณด๋‹ค 11.79% ํ•˜๋ฝํ•œ ์ฑ„๋กœ ์žฅ์„ ๋งˆ์ณค๋‹ค. ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์™€ ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ๋Š” ๊ฐ๊ฐ 8.02%, 4.49%์˜ ํ•˜๋ฝ๋ฅ ์„ ๊ธฐ๋กํ–ˆ์œผ๋ฉฐ, ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ์ฃผ๊ฐ€ ์—ญ์‹œ 6.16% ๋ฏธ๋„๋Ÿฌ์กŒ๋‹ค. ํ•œ ์ฆ๊ถŒ์—…๊ณ„ ๊ด€๊ณ„์ž๋Š” "๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์™€ ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ํ•ฉ๋ณ‘์— ๋Œ€ํ•œ ์ฃผ์ฃผ ๋ฐ˜๋ฐœ์ด ๊ฑฐ์„ผ ์ƒํ™ฉ์— ์ฃผ๊ฐ€๊ฐ€ ๋ฏธ๋„๋Ÿฌ์ง€๋Š” ๊ฑด (๋‘์‚ฐ๊ทธ๋ฃน ์ž…์žฅ์—์„œ) ํฐ ์•…์žฌ"๋ผ๋ฉฐ "์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ๊ฐ€์™€ ์ฃผ๊ฐ€์˜ ๊ดด๋ฆฌ๊ฐ€ ์ปค์งˆ์ˆ˜๋ก ํ•ฉ๋ณ‘ ์—ฌ๋ถ€๋Š” ๋ถˆํˆฌ๋ช…ํ•ด์งˆ ์ˆ˜๋ฐ–์— ์—†๋‹ค"๊ณ  ์ง„๋‹จํ–ˆ๋‹ค.

stock price doosan 20240725

์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ์ด ์ƒํ™ฉ ๋’ค์ง‘์„๊นŒ

์‹ค์ œ ์ฃผ์ฃผ๋“ค์˜ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ ๊ทœ๋ชจ๋Š” ๋‘์‚ฐ๋ฐฅ์บฃ-๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ํ•ฉ๋ณ‘ ๋…ผ์˜๋ฅผ ๋’ค์ง‘์„ ์ˆ˜ ์žˆ๋Š” ํ•ต์‹ฌ ๋ณ€์ˆ˜๋กœ ๊ผฝํžŒ๋‹ค. ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ์€ ํ•ฉ๋ณ‘ ๋“ฑ ์ฃผ์ฃผ์ดํšŒ ํŠน๋ณ„๊ฒฐ์˜์‚ฌํ•ญ์— ๋ฐ˜๋Œ€ํ•˜๋Š” ์ฃผ์ฃผ๊ฐ€ ์†Œ์œ ํ•œ ์ฃผ์‹์„ ํšŒ์‚ฌ์— ๋งค์ž…ํ•ด ๋‹ฌ๋ผ๊ณ  ์š”๊ตฌํ•  ์ˆ˜ ์žˆ๋Š” ๊ถŒ๋ฆฌ๋‹ค. ์ด๋ฒˆ ๋‘์‚ฐ๋ฐฅ์บฃ-๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค ํ•ฉ๋ณ‘์ด ์„ฑ๊ณต์ ์œผ๋กœ ์ด๋ค„์ง€๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ์ง€๋ถ„ 46%๋ฅผ ์†Œ์œ ํ•œ ๋Œ€์ฃผ์ฃผ ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ์—์„œ 6,000์–ต์› ์ดํ•˜, ๋‘์‚ฐ๋ฐฅ์บฃ๊ณผ ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์—์„œ ๊ฐ๊ฐ 1์กฐ5,000์–ต์›ยท5,000์–ต์› ์ดํ•˜์˜ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ฐ€ ๋ฐœ์ƒํ•ด์•ผ ํ•œ๋‹ค. ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ ๊ทœ๋ชจ๊ฐ€ ํ•ด๋‹น ํ•œ๋„๋ฅผ ๋„˜์–ด์„ค ๊ฒฝ์šฐ ํ•ฉ๋ณ‘์ด ๋ฌด์‚ฐ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค.

ํ†ต์ƒ์ ์œผ๋กœ ์ฃผ์ฃผ๋“ค์€ ํšŒ์‚ฌ์˜ ์ฃผ๊ฐ€ ์ถ”์ด๋ฅผ ๊ณ ๋ คํ•ด ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ ์—ฌ๋ถ€๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค. ํ˜„์žฌ ํšŒ์‚ฌ์˜ ์ฃผ๊ฐ€๊ฐ€ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ์˜ ๋งค์ˆ˜์˜ˆ์ •๊ฐ€๊ฒฉ๋ณด๋‹ค ๋‚ฎ๊ฑฐ๋‚˜ ์ฐจํ›„ ํ•˜๋ฝํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜๋Š” ๊ฒฝ์šฐ, ์†์‹ค ํšŒํ”ผ๋ฅผ ์œ„ํ•ด ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ์„ ํ–‰์‚ฌํ•ด ๋งค์ˆ˜์˜ˆ์ •๊ฐ€๊ฒฉ์— ๋ณด์œ  ์ฃผ์‹์„ ๋งค๋„ํ•˜๋Š” ์‹์ด๋‹ค. ๋ฌธ์ œ๋Š” ๋‘์‚ฐ ๊ทธ๋ฃน์ฃผ์˜ ์ฃผ๊ฐ€๊ฐ€ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ๊ฐ€๋ฅผ ํฌ๊ฒŒ ๋ฐ‘๋Œ๊ณ  ์žˆ๋‹ค๋Š” ์ ์ด๋‹ค. ์ง€๋‚œ 25์ผ ์ข…๊ฐ€ ๊ธฐ์ค€ ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ์ฃผ๊ฐ€๋Š” 4๋งŒ4,150์›์œผ๋กœ ๋‘์‚ฐ๋ฐฅ์บฃ์˜ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ๋งค์ˆ˜์˜ˆ์ •๊ฐ€(5๋งŒ459์›) ๋Œ€๋น„ ๋‚ฎ์€ ์ˆ˜์ค€์— ํ˜•์„ฑ๋ผ ์žˆ๋‹ค. ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค(7๋งŒ3,400์›)์˜ ์ฃผ๊ฐ€ ๋˜ํ•œ ๋งค์ˆ˜์˜ˆ์ •๊ฐ€์ธ 8๋งŒ472์›๋ณด๋‹ค ํ•œ์ฐธ ๋‚ฎ๋‹ค.

๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ ์ฃผ๊ฐ€(1๋งŒ8,930์›) ์—ญ์‹œ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ๋งค์ˆ˜์˜ˆ์ •๊ฐ€(2๋งŒ850์›)๋ฅผ ํ•˜ํšŒํ•˜๊ณ  ์žˆ๋‹ค. ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ ์ฃผ์ฃผ๋“ค์˜ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ ๊ทœ๋ชจ๊ฐ€ ์‹œ์žฅ์—์„œ '์ตœ๋Œ€ ๋ณ€์ˆ˜'๋กœ ๊ผฝํžˆ๊ณ  ์žˆ๋‹ค๋Š” ์ ์„ ๊ณ ๋ คํ•˜๋ฉด ์ƒ๋‹นํ•œ ์•…์žฌ๋‹ค. ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ๋Š” ๋‘์‚ฐ๋กœ๋ณดํ‹ฑ์Šค์™€ ๋‘์‚ฐ๋ฐฅ์บฃ์— ๋น„ํ•ด ์ตœ๋Œ€์ฃผ์ฃผ ์ง€๋ถ„์œจ์ด ๋‚ฎ์€ ํŽธ์ด๋‹ค. ์˜ฌํ•ด 1๋ถ„๊ธฐ ๊ธฐ์ค€ ๋‘์‚ฐ์—๋„ˆ๋นŒ๋ฆฌํ‹ฐ์˜ ์ตœ๋Œ€์ฃผ์ฃผ ใˆœ๋‘์‚ฐ์˜ ์ง€๋ถ„์€ 30.39% ์ˆ˜์ค€์ด๋ฉฐ, ์†Œ์•ก์ฃผ์ฃผ ์ง€๋ถ„์œจ์€ 20% ์ด์ƒ์ธ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์†Œ์•ก์ฃผ์ฃผ๋“ค์ด ํ•ฉ๋ณ‘ ๋ฐ˜๋Œ€ ์˜์‚ฌ ํ‘œ์ถœยท์†์‹ค ํšŒํ”ผ ๋“ฑ์„ ์œ„ํ•ด ๋Œ€๊ทœ๋ชจ ์ฃผ์‹๋งค์ˆ˜์ฒญ๊ตฌ๊ถŒ ํ–‰์‚ฌ์— ๋‚˜์„ค ๊ฒฝ์šฐ, ์ˆœ์‹๊ฐ„์— ์ง€๋ฐฐ ๊ตฌ์กฐ ๊ฐœํŽธ ์›€์ง์ž„์ด '๋ฌผ๊ฑฐํ’ˆ'์ด ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์˜๋ฏธ๋‹ค.

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๋…์ž ์—ฌ๋Ÿฌ๋ถ„๊ณผ '์ •๋ณด์˜ ํ™์ˆ˜'๋ฅผ ํ•จ๊ป˜ ํ—ค์ณ ๋‚˜๊ฐˆ ์ˆ˜ ์žˆ๋Š” ๋—๋ชฉ์ด ๋˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค. ์—ฌํ–‰ ์ค‘ ๊ธธ์„ ์žƒ์ง€ ์•Š๋„๋ก ์ •ํ™•ํ•˜๊ณ  ์นœ์ ˆํ•˜๊ฒŒ ์•ˆ๋‚ดํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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์˜คํ”ˆAI์˜ ๊ฒ€์ƒ‰ ์—”์ง„ '์„œ์น˜GPT' ์ถœ์‹œ, ์ตœ๊ฐ•์ž ๊ตฌ๊ธ€์— ๋„์ „์žฅ

์˜คํ”ˆAI์˜ ๊ฒ€์ƒ‰ ์—”์ง„ '์„œ์น˜GPT' ์ถœ์‹œ, ์ตœ๊ฐ•์ž ๊ตฌ๊ธ€์— ๋„์ „์žฅ
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๊ธˆ์œต ์‚ฐ์—…์—์„œ์˜ ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ์ •ํ™•ํ•˜๊ณ  ์ดํ•ดํ•˜๊ธฐ ์‰ฌ์šด ๊ธฐ์‚ฌ๋ฅผ ์“ฐ๊ฒ ์Šต๋‹ˆ๋‹ค. ๊ฒฝ์ œ ํ™œ๋ ฅ์— ์ž‘์€ ๋ณดํƒฌ์ด ๋˜๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

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WSJ ๋“ฑ ์ฝ˜ํ…์ธ  ์ œํœดํ•ด ์˜จ ๋ฏธ๋””์–ด ์—…์ฒด์™€ ํ˜‘๋ ฅ
๊ฒ€์ƒ‰ ์‹œ์žฅ ์ตœ๊ฐ•์ž '๊ตฌ๊ธ€'๊ณผ์˜ ๊ฒฝ์Ÿ์— ๊ด€์‹ฌ ์ ๋ ค
20240726 searchgpt
์„œ์น˜GPT์˜ ๊ฒ€์ƒ‰์ฐฝ/์‚ฌ์ง„=์˜คํ”ˆAI

์˜คํ”ˆAI๊ฐ€ ์ธ๊ณต์ง€๋Šฅ(AI)์— ๊ธฐ๋ฐ˜ํ•œ ๊ฒ€์ƒ‰์—”์ง„์„ ์ถœ์‹œํ–ˆ๋‹ค. ์ด์šฉ์ž์˜ ์งˆ๋ฌธ์— ๋Œ€ํ•œ ๋‹ต๋ณ€๊ณผ ์ถœ์ฒ˜๋ฅผ ์ œ๊ณตํ•จ์€ ๋ฌผ๋ก  ์ฑ—GPT์ฒ˜๋Ÿผ ์‚ฌ๋žŒ๊ณผ ๋Œ€ํ™”ํ•˜๋“ฏ ํ›„์† ์งˆ๋ฌธ์„ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ์–ด ๊ตฌ๊ธ€, ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ(MS) ๋“ฑ์ด ์ œ๊ณตํ•˜๋Š” AI ๊ฒ€์ƒ‰ ์„œ๋น„์Šค๋ณด๋‹ค ํ•œ ๋‹จ๊ณ„ ์ง„์ผ๋ณดํ–ˆ๋‹ค๋Š” ํ‰๊ฐ€๋‹ค. ์˜คํ”ˆAI๊ฐ€ ์ถ”ํ›„ ์ฑ—GPT์™€ ํ†ตํ•ฉํ•  ๊ณ„ํš์ด๋ผ๊ณ  ๋ฐํžˆ๋ฉด์„œ ์˜ค๋žซ๋™์•ˆ ์‹œ์žฅ์„ ์ง€๋ฐฐํ•ด ์˜จ ๊ตฌ๊ธ€๊ณผ์˜ ๊ฒฝ์Ÿ์— ๊ด€์‹ฌ์ด ์ ๋ฆฌ๊ณ  ์žˆ๋‹ค.

์˜คํ”ˆAI, ์„œ์น˜GPT ํ”„๋กœํ† ํƒ€์ž… ๋ฒ„์ „ ๊ณต๊ฐœ

25์ผ(ํ˜„์ง€์‹œ๊ฐ) ์˜คํ”ˆAI๋Š” ์ž์ฒด ๊ฒ€์ƒ‰ ์—”์ง„ '์„œ์น˜GPT(SearchGPT)'๋ฅผ ๊ณต๊ฐœํ•˜๊ณ  ํ”„๋กœํ† ํƒ€์ž…(์‹œํ—˜) ๋ฒ„์ „์„ ์ผ๋ถ€ ์ด์šฉ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์‹œ๋ฒ” ์„œ๋น„์Šคํ•œ๋‹ค๊ณ  ๋ฐํ˜”๋‹ค. '์„œ์น˜GPT'๋Š” AI์— ๊ธฐ๋ฐ˜ํ•ด ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ธํ„ฐ๋„ท์ƒ์˜ ์ •๋ณด๋ฅผ ์ฐพ์•„์ฃผ๋Š” ๊ฒ€์ƒ‰ ์—”์ง„์œผ๋กœ ํ˜„์žฌ ํ™ˆํŽ˜์ด์ง€๋ฅผ ํ†ตํ•ด ์‹œํ—˜ ๋ฒ„์ „์„ ์ด์šฉํ•  ๋Œ€๊ธฐ์ž๋ฅผ ๋ชจ์ง‘ํ•˜๊ณ  ์žˆ๋‹ค. ์˜คํ”ˆAI๋Š” ํ–ฅํ›„ ์‹œ๋ฒ” ์„œ๋น„์Šค ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์„œ์น˜GPT๋ฅผ ์ž์‚ฌ์˜ ์ƒ์„ฑํ˜• AI '์ฑ—GPT'์— ํ†ตํ•ฉํ•  ๊ณ„ํš์ด๋ผ๊ณ  ์ „ํ–ˆ๋‹ค.

์ด๋‚  ๊ณต๊ฐœ๋œ ๋ฐ๋ชจ ์˜์ƒ์„ ๋ณด๋ฉด ์„œ์น˜GPT๋Š” "๋ฏธ๋„ค์†Œํƒ€์—์„œ ์ž๋ผ๋Š” ์ตœ๊ณ ์˜ ํ† ๋งˆํ† "๋ฅผ ๋ฌป๋Š” ์งˆ๋ฌธ์— ํ† ๋งˆํ†  ํ’ˆ์ข…์„ ๋‚˜์—ดํ•˜๊ณ , ์ขŒ์ธก์—๋Š” ํ•ด๋‹น ๋‹ต๋ณ€๊ณผ ๊ด€๋ จํ•ด '๋” ๊ฐ€๋“  ๋งค๊ฑฐ์ง„', '๋” ๊ฐ€๋“œ๋‹ ๋Œ€๋“œ' ๋“ฑ์˜ ์›น์‚ฌ์ดํŠธ ๋งํฌ๋ฅผ ์ œ๊ณตํ–ˆ๋‹ค. ์—ฌ๊ธฐ๊นŒ์ง€๋Š” ํ˜„์žฌ ๊ตฌ๊ธ€ ๋“ฑ์ด ์ œ๊ณตํ•˜๋Š” AI ๊ฒ€์ƒ‰ ์„œ๋น„์Šค์™€ ๋‹ค๋ฅด์ง€ ์•Š๋‹ค. ํ•˜์ง€๋งŒ ์„œ์น˜GPT๋Š” ์—ฌ๊ธฐ์„œ ํ•œ ๋‹จ๊ณ„ ๋‚˜์•„๊ฐ€ ๊ฒ€์ƒ‰ํ•œ ๋‚ด์šฉ์„ ํ† ๋Œ€๋กœ ์ถ”๊ฐ€ ์งˆ๋ฌธ์„ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋Œ€ํ™”ํ•˜๋“ฏ ํ›„์† ์งˆ๋ฌธ์„ ์ž…๋ ฅํ•ด ๋ณด๋‹ค ๊ฐœ์ธํ™”๋œ ๋‹ต๋ณ€์„ ๋น ๋ฅด๊ฒŒ ์ฐพ์„ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์ด๋‹ค.

์˜คํ”ˆAI๋Š” "์›น์—์„œ์˜ ์‹ค์‹œ๊ฐ„ ์ •๋ณด๋ฅผ ํ™œ์šฉํ•ด AI ๋ชจ๋ธ์˜ ๋Œ€ํ™” ๋Šฅ๋ ฅ์„ ๊ฐ•ํ™”ํ•จ์œผ๋กœ์จ ์ด์šฉ์ž๊ฐ€ ์›ํ•˜๋Š” ๊ฒƒ์„ ๋” ๋น ๋ฅด๊ณ  ์‰ฝ๊ฒŒ ์ฐพ์„ ์ˆ˜ ์žˆ๊ฒŒ ํ•˜๊ฒ ๋‹ค"๋ฉฐ "์•„์šธ๋Ÿฌ ์ด์šฉ์ž๋“ค์ด ๋” ๋‹ค์–‘ํ•œ ์ถœํŒยท๋ฏธ๋””์–ด ์‚ฌ์ดํŠธ๋ฅผ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๊ฒ ๋‹ค"๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ์ด๋‚  ์ƒ˜ ์˜ฌํŠธ๋จผ ์˜คํ”ˆAI ์ตœ๊ณ ๊ฒฝ์˜์ž(CEO)๋„ ์†Œ์…œ๋ฏธ๋””์–ด ์—‘์Šค(X)๋ฅผ ํ†ตํ•ด ์„œ์น˜GPT์˜ ์ถœ์‹œ์™€ ๊ด€๋ จํ•ด "์šฐ๋ฆฌ๋Š” ์ง€๊ธˆ๋ณด๋‹ค ํ›จ์”ฌ ๋‚˜์€ ๊ฒ€์ƒ‰ ๊ฒฝํ—˜์„ ๋งŒ๋“ค ์—ฌ์ง€๊ฐ€ ์žˆ๋‹ค"๊ณ  ๊ฐ•์กฐํ–ˆ๋‹ค.

์›”์ŠคํŠธ๋ฆฌํŠธ์ €๋„(WSJ)์€ "์˜คํ”ˆAI๋Š” ๊ฒ€์ƒ‰ ์—”์ง„์„ ๋„์ž…ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ถœํŒยท๋ฏธ๋””์–ด ์—…์ฒด์™€ ํ˜‘๋ ฅํ–ˆ๊ณ  ์ตœ๊ทผ ๋ช‡ ๋‹ฌ๊ฐ„ ์ด๋“ค์—๊ฒŒ ์„œ์น˜GPT๋ฅผ ์šฐ์„  ๊ณต๊ฐœํ–ˆ๋‹ค"๋ฉฐ "๋‹ค๋งŒ ์„œ์น˜GPT๊ฐ€ ์ด๋“ค ์›น์‚ฌ์ดํŠธ์— ์–ผ๋งˆ๋‚˜ ๋งŽ์€ ํŠธ๋ž˜ํ”ฝ ์ฆ๊ฐ์„ ์ดˆ๋ž˜ํ• ์ง€๋Š” ๋ถˆ๋ถ„๋ช…ํ•˜๋ฉฐ ์˜คํ”ˆAI๋Š” ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด ๋” ๋งŽ์ด ์•Œ์•„๊ฐ€๊ฒ ๋‹ค๋Š” ์ž…์žฅ"์ด๋ผ๊ณ  ์ „ํ–ˆ๋‹ค. ์•ž์„œ ์˜คํ”ˆAI๋Š” ํด๋ฆฌํ‹ฐ์ฝ”ยท๋น„์ฆˆ๋‹ˆ์Šค ์ธ์‚ฌ์ด๋” ๋“ฑ์„ ์†Œ์œ ํ•œ ์•…์…€ ์Šคํ”„๋ง์–ด, APํ†ต์‹ , ํ”„๋ž‘์Šค ๋ฅด๋ชฝ๋“œ, ํŒŒ์ด๋‚ธ์…œํƒ€์ž„์Šค(FT)์™€ WSJ๋ฅผ ์†Œ์œ ํ•œ ๋‰ด์Šค์ฝ”ํ”„ ๋“ฑ๊ณผ ์ฝ˜ํ…์ธ  ์ œ๊ณต ์ œํœด๋ฅผ ๋งบ์—ˆ๋‹ค.

20240726 search gpt
์„œ์น˜GPT์˜ ๊ฒ€์ƒ‰ ์˜ˆ์‹œ/์‚ฌ์ง„=์˜คํ”ˆAI

๋‹น์ดˆ 5์›” ๊ณต๊ฐœ ์˜ˆ์ •์ด์—ˆ์œผ๋‚˜ ํ•œ ์ฐจ๋ก€ ์—ฐ๊ธฐ๋ผ

๋‹น์ดˆ ์˜คํ”ˆAI๋Š” ์ง€๋‚œ 5์›” MS๋‚˜ ๊ตฌ๊ธ€๋ณด๋‹ค ํ•˜๋ฃจ ์•ž์„œ AI ๊ธฐ๋ฐ˜ ๊ฒ€์ƒ‰ ์ œํ’ˆ์„ ๋ฐœํ‘œํ•˜๊ณ  I/O ๊ฐœ๋ฐœ์ž ์ปจํผ๋Ÿฐ์Šค๋ฅผ ์—ด ๊ณ„ํš์ด์—ˆ๋‹ค. ํ•˜์ง€๋งŒ '์ฑ—GPT ํ”Œ๋Ÿฌ๊ทธ์ธ(plugins)'์ด๋ผ ๋ถˆ๋ฆฌ๋Š” ์ฑ—GPT์— ์—…๋ฐ์ดํŠธ๋œ ์‹ค์‹œ๊ฐ„ ์ •๋ณด๋ฅผ ๊ฐ€์ ธ์˜ค๋ ค๋Š” ์ดˆ๊ธฐ ์‹œ๋„๊ฐ€ ์ง€๋‚œ 4์›” ์ค‘๋‹จ๋˜๋ฉด์„œ ๊ณต๊ฐœ ์ผ์ •์„ ํ•œ ์ฐจ๋ก€ ์—ฐ๊ธฐํ•œ ๋ฐ” ์žˆ๋‹ค. ๋Œ€์‹  ์ด ์‹œ๊ธฐ ์˜คํ”ˆAI๋Š” ์ฑ—GPT์˜ ์ตœ์‹  ๋ฒ„์ „์ด์ž ๊ฐ€์žฅ ์ง„๋ณดํ•œ AI ๋ชจ๋ธ์ธ GPT-4 ์—…๊ทธ๋ ˆ์ด๋“œ๋ฅผ ๋ฐœํ‘œํ•˜๋Š” ์‹ค์‹œ๊ฐ„ ์ŠคํŠธ๋ฆฌ๋ฐ ์ปจํผ๋Ÿฐ์Šค๋ฅผ ๊ฐœ์ตœํ–ˆ๋‹ค.

์˜คํ”ˆAI๋Š” ๋‹น์‹œ AI ๊ฒ€์ƒ‰ ์„œ๋น„์Šค ๊ณต๊ฐœ๋ฅผ ์—ฐ๊ธฐํ•œ ์ด์œ ์— ๋Œ€ํ•ด ์–ธ๊ธ‰ํ•˜์ง€๋Š” ์•Š์•˜์ง€๋งŒ ๋ช‡ ๊ฐ€์ง€ ์žฅ์• ์š”์ธ์ด ์žˆ์—ˆ๋˜ ๊ฒƒ์œผ๋กœ ์ถ”์ •๋œ๋‹ค. ์ œ๋„์ ์ธ ์ฐจ์›์—์„œ๋Š” ํผ๋ธ”๋ฆฌ์…” ์‚ฌ์ดํŠธ์˜ ์ฝ˜ํ…์ธ  ๋ผ์ด์„ ์Šค์™€ ํ™œ์šฉ์— ๊ด€ํ•œ ๋ฌธ์ œ๊ฐ€ ์ง€์ ๋œ๋‹ค. AI๋Š” ํผ๋ธ”๋ฆฌ์…” ์‚ฌ์ดํŠธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์ง์ ‘ ํ•™์Šตํ•œ ๋‚ด์šฉ์„ ์‚ฌ์šฉ์ž์—๊ฒŒ ์ œ๊ณตํ•˜์ง€๋งŒ, AI๋ฅผ ๊ฒ€์ƒ‰ ์—”์ง„์— ๋ถ€์ฐฉํ•˜๋ฉด ์ฃผ์„์„ ํ†ตํ•ด URL์„ ์ œ์‹œํ•˜๋”๋ผ๋„ ์‚ฌ์šฉ์ž๊ฐ€ ํ•ด๋‹น ์‚ฌ์ดํŠธ๋ฅผ ๋ฐฉ๋ฌธํ•  ๊ฐ€๋Šฅ์„ฑ์ด ํฌ๋ฐ•ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์›น ์‚ฌ์ดํŠธ ์†Œ์œ ์ž์—๊ฒŒ ํ”ผํ•ด๋ฅผ ์ค„ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค.

์˜คํ”ˆAI์™€ ์ฝ˜ํ…์ธ  ๋ผ์ด์„ ์Šค ๊ณ„์•ฝ์„ ์ฒด๊ฒฐํ•œ ์•…์…€ ์Šคํ”„๋ง์–ด๋ฅผ ๋น„๋กฏํ•ด ๋‰ด์Šค ์ฝ”ํผ๋ ˆ์ด์…˜ ๋“ฑ ํผ๋ธ”๋ฆฌ์…” ์‚ฌ์ดํŠธ๋“ค์€ ์ด๋ฏธ AI์— ๋Œ€ํ•œ ์šฐ๋ ค๋ฅผ ํ‘œ๋ช…ํ•œ ์ƒํƒœ๋‹ค. ๋งˆํ‹ฐ์•„์Šค ๋„ํ”„๋„ˆ(Mathias Dรถpfner) ์•…์…€ ์Šคํ”„๋ง์–ด CEO๋Š” "AI์™€ ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์ด ์ €๋„๋ฆฌ์ฆ˜๊ณผ ๋ฏธ๋””์–ด ๋ธŒ๋žœ๋“œ๋ฅผ ํŒŒ๊ดดํ•  ์ˆ˜ ์žˆ๋‹ค"๋ฉฐ "๊ตฌ๊ธ€ ๋“ฑ ๋‹ค๋ฅธ AI ํšŒ์‚ฌ๊ฐ€ ํ—ˆ๊ฐ€ ์—†์ด ์ฝ˜ํ…์ธ ๋ฅผ ์Šคํฌ๋žฉํ•  ๊ถŒ๋ฆฌ์— ๋Œ€ํ•œ ๋ฒ•์  ๋ฌธ์ œ์— ์ง‘์ค‘ํ•˜๊ณ  ์žˆ๋‹ค"๊ณ  ๋ฐํ˜”๋‹ค. IACยท์ต์Šคํ”ผ๋””์•„์˜ ๋ฐฐ๋ฆฌ ๋”œ๋Ÿฌ(Barry Dille) ํšŒ์žฅ๋„ "ํผ๋ธ”๋ฆฌ์…”์˜ ์ €์ž‘๊ถŒ์ด ์นจํ•ด๋˜๊ณ  ์žˆ๋‹ค"๊ณ  ์ง€์ ํ–ˆ๋‹ค.

๊ฒ€์ƒ‰ ์—”์ง„์˜ ๊ณ ์งˆ์ ์ธ ํ•œ๊ณ„๋กœ ์ง€์ ๋ผ ์˜จ ํŠธ๋ž˜ํ”ฝ์— ๋Œ€ํ•œ ๋ฌธ์ œ๋„ ๋Œ€๋‘๋๋‹ค. ์˜คํ”ˆAI์˜ ์ฑ—GPT๋Š” ์ง€๋‚œ 2022๋…„ 11์›” ์ถœ์‹œ ์ดํ›„ ๋น ๋ฅด๊ฒŒ ์‚ฌ์šฉ์ž๋ฅผ ํ™•๋ณดํ•ด ๊ฐ”๋‹ค. ์ด์— ์ถœ์‹œ ์งํ›„ ์›”๊ฐ„ ํ™œ์„ฑ ์‚ฌ์šฉ์ž ์ˆ˜ 1์–ต ๋ช…์— ๊ฐ€์žฅ ๋นจ๋ฆฌ ๋„๋‹ฌํ•œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์œผ๋กœ ์„ ์ •๋˜๊ธฐ๋„ ํ–ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋™์‹œ์— ์ฑ—GPT ์›น ์‚ฌ์ดํŠธ์˜ ์ „ ์„ธ๊ณ„ ํŠธ๋ž˜ํ”ฝ์€ ์ง€๋‚œ 1๋…„ ๋™์•ˆ ๋กค๋Ÿฌ์ฝ”์Šคํ„ฐ๋ฅผ ํƒ€๋ฉฐ ๋ถ€์นจ์„ ๊ฑฐ๋“ญํ–ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‹ค๊ฐ€ ์ตœ๊ทผ ์–ด๋ ต์‚ฌ๋ฆฌ ์ง€๋‚œํ•ด 5์›” ๊ธฐ๋กํ–ˆ๋˜ ์ตœ๊ณ ์น˜๋กœ ๋Œ์•„์˜ค๊ณ  ์žˆ๋Š” ๋ชจ์Šต์ด๋‹ค.

๊ฒ€์ƒ‰ ์—”์ง„ ์‹œ์žฅ์˜ ์ตœ๊ฐ•์ž ๊ตฌ๊ธ€๊ณผ์˜ ๊ฒฝ์Ÿ์„ ๋‘๊ณ ๋„ ๋น„๊ด€๋ก ๊ณผ ๋‚™๊ด€๋ก ์ด ์—‡๊ฐˆ๋ ธ๋‹ค. ์ฑ—GPT๋Š” ์›”๊ฐ„ ๋ฐฉ๋ฌธ์ž ์ˆ˜๊ฐ€ 16์–ต ๋ช… ๋„๋‹ฌํ•œ ์ด๋ž˜ ๋Š˜์ง€ ์•Š์ž, ์‚ฌ์šฉ์ž ๊ธฐ๋ฐ˜ ์„œ๋น„์Šค๋ฅผ ํ™•์žฅํ•ด์•ผ ํ•œ๋‹ค๋Š” ์••๋ ฅ์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ์‹ค์ œ๋กœ ์˜คํ”ˆAI๋Š” ๋ณธ๋ž˜ ์ฑ—GPT์— ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ •ํ™•ํ•œ ์›น ์ •๋ณด์— ์•ก์„ธ์Šคํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒ€์ƒ‰ ์—”์ง„์˜ ๊ธฐ๋Šฅ์„ ์ ‘๋ชฉํ•˜๊ธฐ๋กœ ํ–ˆ์ง€๋งŒ ์ด๋ฏธ ๊ฒ€์ƒ‰ ์‹œ์žฅ์„ ์žฅ์•…ํ•œ ๊ตฌ๊ธ€์ด๋‚˜ MS ๋“ฑ์ด ์ž์‚ฌ์˜ ๊ฒ€์ƒ‰ ์—”์ง„์— ์ž์ฒด ๊ฐœ๋ฐœํ•œ ์ƒ์„ฑํ˜• AI ๊ธฐ๋Šฅ์„ ์ ์šฉํ•˜๊ณ  ์žˆ์–ด ์ด๋“ค๊ณผ ๋ฒ„๊ฑฐ์šด ๊ฒฝ์Ÿ์„ ๋ฒŒ์—ฌ์•ผ ํ•œ๋‹ค๋Š” ์šฐ๋ ค๊ฐ€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค.

20240726 gemini
๊ตฌ๊ธ€์˜ AI ๋ชจ๋ธ ์ œ๋ฏธ๋‚˜์ด(Gemini)/์‚ฌ์ง„=๊ตฌ๊ธ€ ์œ ํŠœ๋ธŒ

ํ† ์ข… ๋„ค์ด๋ฒ„, B2B AI ์†”๋ฃจ์…˜์œผ๋กœ ์ˆ˜์ต ์ฐฝ์ถœ

์ด๋Ÿฐ ๊ฐ€์šด๋ฐ ์ •๋ณด๊ธฐ์ˆ (IT) ์—…๊ณ„๋Š” ์˜คํ”ˆAI์˜ ๊ฒ€์ƒ‰ ์—”์ง„ ์ถœ์‹œ๊ฐ€ ์‹œ์žฅ ํŒ๋„์— ์–ด๋–ค ์˜ํ–ฅ์„ ์ค„์ง€์— ์ฃผ๋ชฉํ•˜๊ณ  ์žˆ๋‹ค. ์ง€๋‚œ 20๋…„๊ฐ„ ์ „ ์„ธ๊ณ„ ๊ฒ€์ƒ‰ ์‹œ์žฅ์„ ์žฅ์•…ํ•œ ๊ตฌ๊ธ€์˜ ์ง€๋ฐฐ๋ ฅ์— ๊ท ์—ด์„ ๋‚ผ ์ˆ˜ ์žˆ์„์ง€๊ฐ€ ์ตœ๋Œ€ ๊ด€์ „ ํฌ์ธํŠธ๋‹ค. ์‹œ์žฅ์กฐ์‚ฌ์—…์ฒด ์Šคํƒฏ์นด์šดํ„ฐ(StatCounter)์— ๋”ฐ๋ฅด๋ฉด ์˜ฌ 6์›” ๊ธฐ์ค€ ๊ตฌ๊ธ€์˜ ์‹œ์žฅ ์ ์œ ์œจ์€ 91.6%๋กœ 2์œ„์ธ MS ๋น™์˜ 3.72%๋ฅผ ํฌ๊ฒŒ ์•ž์„œ๋Š” ์ˆ˜์น˜๋‹ค. ์ด์— ๋Œ€ํ•ด WSJ๋Š” "์„œ์น˜GPT๋Š” 2022๋…„ ์ฑ—GPT ์ถœ์‹œ ์ดํ›„ ๊ฒ€์ƒ‰ ๋ถ„์•ผ์—์„œ ๊ตฌ๊ธ€์˜ ์ง€๋ฐฐ๋ ฅ์— ๋Œ€ํ•œ ๊ฐ€์žฅ ์ง์ ‘์ ์ธ ๋„์ „"์ด๋ผ๊ณ  ํ‰๊ฐ€ํ–ˆ๋‹ค.

์ผ๊ฐ์—์„œ๋Š” ์˜คํ”ˆAI๊ฐ€ ๊ฐ•๋ ฅํ•œ AI ๊ธฐ์ˆ ์„ ์•ž์„ธ์›Œ ๊ฒ€์ƒ‰ ์‹œ์žฅ์˜ ์ ์œ ์œจ์„ ๋น ๋ฅด๊ฒŒ ๋Š˜๋ ค๊ฐˆ ๊ฒƒ์ด๋ž€ ์ „๋ง๋„ ๋‚˜์˜จ๋‹ค. FT๋Š” "์ƒ์„ฑํ˜• AI์˜ ๋ถ€์ƒ๊ณผ ๊ฒ€์ƒ‰ ์‹œ์žฅ์˜ ๋ฏธ๋ž˜๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ์‹ธ์›€์€ ๋‘ ํšŒ์‚ฌ์˜ ๊ถค์ ์„ ๋ฐ”๊ฟ€ ์ˆ˜ ์žˆ๋‹ค"๋ฉฐ "๊ตฌ๊ธ€์€ ์ˆ˜์ต ๋งˆ์ง„์„ ๋ฐฉ์–ดํ•˜๋ ค ํ•˜๊ณ  ์˜คํ”ˆAI๋Š” ์ƒˆ๋กœ์šด ์ˆ˜์ต์›์„ ์ฐพ๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ"์ด๋ผ๊ณ  ๋ถ„์„ํ–ˆ๋‹ค. ์‹ค์ œ ์ด๋Ÿฌํ•œ ์‹œ์žฅ์˜ ์ „๋ง์ด ๋ฐ˜์˜๋จ์— ๋”ฐ๋ผ ์ด๋‚  ๊ตฌ๊ธ€์˜ ๋ชจํšŒ์‚ฌ ์•ŒํŒŒ๋ฒณ์˜ ์ฃผ๊ฐ€๋Š” ๋‰ด์š• ์ฆ์‹œ์—์„œ 167.28๋‹ฌ๋Ÿฌ๋กœ ๋งˆ๊ฐํ•ด ์ „ ๊ฑฐ๋ž˜์ผ ๋Œ€๋น„ 3.10% ํ•˜๋ฝํ•˜๊ธฐ๋„ ํ–ˆ๋‹ค.

๊ฒ€์ƒ‰ ์—”์ง„ ์‹œ์žฅ์—์„œ ๊ธ€๋กœ๋ฒŒ ๋น…ํ…Œํฌ ๊ฐ„์˜ ๊ฒฝ์Ÿ์ด ์น˜์—ดํ•ด์ง€๋ฉด์„œ ๋„ค์ด๋ฒ„๋„ ์ง€๋‚œํ•ด ์ฐจ์„ธ๋Œ€ AI ๊ฒ€์ƒ‰ ์„œ๋น„์Šค์— ๊ณต์„ ๋“ค์ด๊ณ  ์žˆ๋‹ค. ๋„ค์ด๋ฒ„๋Š” ์ง€๋‚œํ•ด 8์›” ์ดˆ๊ฑฐ๋Œ€ AI ํ”Œ๋žซํผ 'ํ•˜์ดํผํด๋กœ๋ฐ”X'๋ฅผ ๊ณต๊ฐœํ•œ ๋ฐ ์ด์–ด ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ฒ€์ƒ‰ ์„œ๋น„์Šค 'ํ:'์™€ ๋ธ”๋กœ๊ทธ ๋“ฑ์—์„œ ์ฐฝ์ž‘์ž๊ฐ€ ํ™œ์šฉํ•˜๋Š” ์ƒ์‚ฐ ๋„๊ตฌ 'ํด๋กœ๋ฐ” ํฌ ๋ผ์ดํŒ…' ๋“ฑ ๋‹ค์–‘ํ•œ ์‹ ๊ทœ ์„œ๋น„์Šค๋ฅผ ๋งˆ๋ จํ–ˆ๋‹ค. ํŠนํžˆ ๋„ค์ด๋ฒ„์˜ ์ƒ์„ฑํ˜• AI๋Š” ์—ญ๋Œ€ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ํ•œ๊ตญ์–ด ํ•™์Šต๋Ÿ‰์„ ๊ฐ•์ ์œผ๋กœ ๋‚ด์„ธ์šฐ๋ฉฐ 'ํ•œ๊ตญํŒ ์ฑ—GPT'๋กœ ๋ถˆ๋ฆฌ๊ณ  ์žˆ๋‹ค.

๋„ค์ด๋ฒ„์˜ B2B(๊ธฐ์—… ๊ฐ„ ๊ฑฐ๋ž˜) ์†”๋ฃจ์…˜์€ ์ˆ˜์ตํ™”์— ์ดˆ์ ์„ ๋งž์ท„๋‹ค. ์ฑ—GPT๋‚˜ ๋ฐ”๋“œ ๋“ฑ์€ ์งˆ๋ฌธ์„ ํ•™์Šต๋ฐ์ดํ„ฐ๋กœ ํ™œ์šฉํ•˜๋Š” ๊ตฌ์กฐ๋กœ ์—…๋ฌด์— ํ™œ์šฉํ•  ๊ฒฝ์šฐ ๋‚ด๋ถ€ ์ •๋ณด๊ฐ€ ๊ณ ์Šค๋ž€ํžˆ ์œ ์ถœ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์šฐ๋ ค๊ฐ€ ์žˆ๋Š”๋ฐ, ๋„ค์ด๋ฒ„๋Š” ์ด์— ์ฐฉ์•ˆํ•ด ์ž์ฒด๋ง์„ ํ†ตํ•ด ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์†”๋ฃจ์…˜์„ ๋„์ž…ํ•œ ๊ธฐ์—…์—์„œ ์ œ๊ณตํ•œ ์ •๋ณด๋ฅผ ํ•™์Šต๋ฐ์ดํ„ฐ๋กœ ํ™œ์šฉํ•ด AI ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋‹ค. ์ •๋ณด ์œ ์ถœ์˜ ์šฐ๋ ค๊ฐ€ ์—†๋Š” ๋ฐ๋‹ค ๋‹ต๋ณ€์˜ ์ •ํ™•๋„๊ฐ€ ๋†’๋‹ค๋Š” ์ ์ด B2B ์†”๋ฃจ์…˜ ํ™•์‚ฐ์˜ ์š”์ธ์œผ๋กœ ๊ผฝํžŒ๋‹ค. ํ˜„์žฌ ์ดˆ๋Œ€๊ทœ๋ชจ AI ๋ชจ๋ธ์„ ํ™œ์šฉํ•ด ์ˆ˜์ต์„ ์ฐฝ์ถœํ•˜๋Š” ๊ธฐ์—…์€ ๊ตญ๋‚ด๋Š” ๋ฌผ๋ก  ์„ธ๊ณ„์—์„œ๋„ ๋งค์šฐ ๋“œ๋ฌผ๋‹ค.

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โ€œํƒ€๋‹ค ๊ธฐ์‚ฌ, ํ”„๋ฆฌ๋žœ์„œ ์•„๋‹Œ ๊ทผ๋กœ์žโ€, ํ”Œ๋žซํผ ๋…ธ๋™์‹œ์žฅ ํญํ’์ „์•ผ

โ€œํƒ€๋‹ค ๊ธฐ์‚ฌ, ํ”„๋ฆฌ๋žœ์„œ ์•„๋‹Œ ๊ทผ๋กœ์žโ€, ํ”Œ๋žซํผ ๋…ธ๋™์‹œ์žฅ ํญํ’์ „์•ผ
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์ด๋™์ง„
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๊ธฐ์ž
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ํ‘๋ฐฑ์˜ ์„ธ์ƒ์—์„œ ํšŒ์ƒ‰์ง€๋Œ€๋ฅผ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฐ์—… ํ˜„์žฅ์„ ์ทจ์žฌํ•œ ๊ฒฝํ—˜์„ ํ†ตํ•ด IT ๊ธฐ์—…๋“ค์˜ ํ˜„์žฌ์™€ ๊ทธ ์†์— ๋‹ด๊ธธ ํ•œ๊ตญ์˜ ๋ฏธ๋ž˜๋ฅผ ์ „ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

๋Œ€๋ฒ•์› '์ƒ๊ณ  ๊ธฐ๊ฐ', โ€œํƒ€๋‹ค ๋“œ๋ผ์ด๋ฒ„๋Š” ๊ทผ๋กœ์ž์— ํ•ด๋‹นโ€
์˜จ๋ผ์ธ ํ”Œ๋žซํผ ๊ทผ๋กœ์ž๋„ ๊ธฐ์กด ๋ฒ•๋ฆฌ๋Œ€๋กœ ๊ทผ๋กœ์ž์„ฑ ํŒ๋‹จ
๊ตญ๋‚ด ํ”Œ๋žซํผ์—…๊ณ„, ์ธ๊ฑด๋น„ยท๋…ธ๋ฌด๊ด€๋ฆฌ ๋ถ€๋‹ด ๋“ฑ ํ˜ผ๋ž€ ์˜ˆ์ƒ
TADA TE 001 20240726
ํƒ€๋‹ค ์ฐจ๋Ÿ‰/์‚ฌ์ง„= VCNC

๋Œ€๋ฒ•์›์ด ์Šนํ•ฉ์ฐจ ํ˜ธ์ถœ ์„œ๋น„์Šค 'ํƒ€๋‹ค' ์šด์ „๊ธฐ์‚ฌ๋Š” ๊ทผ๋กœ๊ธฐ์ค€๋ฒ•์ƒ ๊ทผ๋กœ์ž์— ํ•ด๋‹นํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ •๋‹นํ•œ ์ด์œ  ์—†๋Š” ๊ณ„์•ฝ ํ•ด์ง€๋Š” ๋ถ€๋‹นํ•ด๊ณ ๋ผ๋Š” ํŒ๊ฒฐ์„ ๋‚ด๋ ธ๋‹ค. ๊ตญ๋‚ด์—์„œ ํ”Œ๋žซํผ ๋…ธ๋™์ž์˜ ๊ทผ๋กœ์ž์„ฑ์„ ์ธ์ •ํ•œ ์ฒซ ํŒ๊ฒฐ๋กœ, ์ด๋Š” โ€˜ํ”Œ๋žซํผ ๋…ธ๋™์ž์˜ ๋ฒ•์  ์ง€์œ„โ€™์™€ โ€˜์œ ์‚ฌ ์†Œ์†ก์˜ ํ–ฅ๋ฐฉโ€™์€ ๋ฌผ๋ก  ํ”Œ๋žซํผ ๊ธฐ์—…์˜ ์ฑ…์ž„์—๊นŒ์ง€ ๊ด‘๋ฒ”์œ„ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น  ๊ฒƒ์œผ๋กœ ์ „๋ง๋œ๋‹ค.

๋Œ€๋ฒ•์› "ํƒ€๋‹ค ์šด์ „๊ธฐ์‚ฌ๋Š” ๊ทผ๋กœ๊ธฐ์ค€๋ฒ•์ƒ ๊ทผ๋กœ์ž"

๋Œ€๋ฒ•์› 3๋ถ€(์ฃผ์‹ฌ ์ดํฅ๊ตฌ ๋Œ€๋ฒ•๊ด€)๋Š” 25์ผ ์˜์นด๊ฐ€ ์ค‘์•™๋…ธ๋™์œ„์›ํšŒ์œ„์›์žฅ์„ ์ƒ๋Œ€๋กœ ๋ถ€๋‹นํ•ด๊ณ  ๊ตฌ์ œ ์žฌ์‹ฌํŒ์ •์„ ์ทจ์†Œํ•ด ๋‹ฌ๋ผ๊ณ  ๋‚ธ ์†Œ์†ก์—์„œ ์›์‹ฌ์˜ ์›๊ณ  ํŒจ์†Œ ํŒ๊ฒฐ์„ ํ™•์ •ํ–ˆ๋‹ค. ํƒ€๋‹ค ์šด์ „๊ธฐ์‚ฌ๋ฅผ ๊ทผ๋กœ์ž๋กœ ๋ด์•ผ ํ•œ๋‹ค๋Š” ๊ณ ๋“ฑ๋ฒ•์›์˜ ํŒ๊ฒฐ์ด ์ ํ•ฉํ•˜๋‹ค๋Š” ๊ฒƒ์ด๋‹ค.

์šด์ „๊ธฐ์‚ฌ๋“ค๊ณผ ํ”„๋ฆฌ๋žœ์„œ ๊ณ„์•ฝ์„ ๋งบ๊ณ  ํƒ€๋‹ค๋ฅผ ์šด์˜ํ•˜๋˜ VCNC๋Š” 2019๋…„ 7์›” ์ฐจ๋Ÿ‰์„ ์ค„์ด๋Š” ๊ฒƒ์ด ๋ถˆ๊ฐ€ํ”ผํ•˜๋‹ค๋Š” ์ด์œ ๋กœ A์”จ๋ฅผ ๋น„๋กฏํ•œ ๊ธฐ์‚ฌ 70์—ฌ ๋ช…์—๊ฒŒ ๊ณ„์•ฝ ํ•ด์ง€๋ฅผ ํ†ต๋ณดํ–ˆ๋‹ค. ์ด์— A์”จ๋Š” ์‹ค์งˆ์ ์œผ๋กœ VCNC์˜ ์ง€ํœ˜์™€ ๊ฐ๋…์„ ๋ฐ›๊ณ  ์ผํ•˜๋Š” ๊ทผ๋กœ์ž์˜€๋Š”๋ฐ ์ผ๋ฐฉ์ ์œผ๋กœ ํ•ด๊ณ ๋‹นํ–ˆ๋‹ค๋ฉฐ ์ค‘์•™๋…ธ๋™์œ„์›ํšŒ์— ๋ถ€๋‹นํ•ด๊ณ  ๊ตฌ์ œ๋ฅผ ์‹ ์ฒญํ–ˆ๋‹ค.

ํ•˜์ง€๋งŒ ์ค‘๋…ธ์œ„๋Š” A์”จ๊ฐ€ ๊ทผ๋กœ๊ธฐ์ค€๋ฒ•์ƒ ๊ทผ๋กœ์ž์— ํ•ด๋‹นํ•˜์ง€ ์•Š๋Š”๋‹ค๊ณ  ๋ณด๊ณ  ๊ตฌ์ œ ์‹ ์ฒญ์„ ๊ฐํ•˜ํ–ˆ๋‹ค. ์ดํ›„ A์”จ๋Š” 2020๋…„ ์žฌ์‹ฌ์„ ์ฒญ๊ตฌํ•ด ๋ถ€๋‹นํ•ด๊ณ  ํŒ์ •์„ ๋ฐ›์•˜์œผ๋‚˜, ์˜์นด๊ฐ€ ๋ถ€๋‹นํ•ด๊ณ  ํŒ์ •์„ ์ทจ์†Œํ•˜๋ผ๋ฉฐ ์ค‘๋…ธ์œ„๋ฅผ ์ƒ๋Œ€๋กœ ํ–‰์ • ์†Œ์†ก์„ ์‹œ์ž‘ํ–ˆ๋‹ค. A์”จ๋Š” ๋‹น์ดˆ ๊ตฌ์ œ์‹ ์ฒญ์„ ํ•  ๋•Œ VCNC๋ฅผ ์ƒ๋Œ€๋กœ ๋ƒˆ๋‹ค๊ฐ€ ๋’ค๋Šฆ๊ฒŒ ์˜์นด๋ฅผ ์ƒ๋Œ€๋ฐฉ์œผ๋กœ ์ถ”๊ฐ€ํ–ˆ๋‹ค.

1์‹ฌ์€ ์˜์นด์˜ ์†์„ ๋“ค์–ด์คฌ์ง€๋งŒ 2์‹ฌ์€ A์”จ์˜ ๊ทผ๋กœ์ž์„ฑ์„ ์ธ์ •ํ•ด ํŒ๊ฒฐ์„ ๋’ค์ง‘์—ˆ๋‹ค. 2์‹ฌ ์žฌํŒ๋ถ€๋Š” ๊ทผ๋กœ์ž์„ฑ ํŒ๋‹จ ๊ธฐ์ค€์œผ๋กœ โ–ณ์—…๋ฌด ๋‚ด์šฉ์„ ์Šค์Šค๋กœ ์ •ํ–ˆ๋Š”์ง€ โ–ณ๋…ธ๋ฌด ์ œ๊ณต ๊ณผ์ •์—์„œ ์ƒ๋‹นํ•œ ์ง€ํœ˜, ๊ฐ๋…์„ ๋ฐ›์•˜๋Š”์ง€ โ–ณ์Šค์Šค๋กœ ๊ทผ๋ฌด ์‹œ๊ฐ„๊ณผ ์žฅ์†Œ๋ฅผ ์ •ํ–ˆ๋Š”์ง€ โ–ณ๊ทผ๋กœ์ œ๊ณต์˜ ๊ณ„์†์„ฑ๊ณผ ์ „์†์„ฑ์ด ์žˆ๋Š”์ง€ โ–ณ๊ธฐ๋ณธ๊ธ‰, ๊ณ ์ •๊ธ‰์„ ์ •ํ•˜๊ณ  ๊ทผ๋กœ์†Œ๋“์„ธ๋ฅผ ์›์ฒœ์ง•์ˆ˜ํ–ˆ๋Š”์ง€ ๋“ฑ์„ ๊ณ ๋ คํ–ˆ๋‹ค๊ณ  ๋ฐํ˜”๋‹ค.

์ดํ›„ ๋Œ€๋ฒ•์›๊นŒ์ง€ ์ด๋‚  ์›์‹ฌ ํŒ๋‹จ์ด ์ ์ ˆํ•˜๋‹ค๊ณ  ๊ฒฐ์ •ํ–ˆ๋‹ค. ๋Œ€๋ฒ•์›์€ ์˜์นด๊ฐ€ A์”จ ๋“ฑ ํƒ€๋‹ค ์šด์ „๊ธฐ์‚ฌ์˜ ์—…๋ฌด ๋‚ด์šฉ์„ ๊ฒฐ์ •ํ•˜๊ณ  ์ƒ๋‹นํ•œ ์ง€ํœ˜ ๋ฐ ๊ฐ๋…์„ ํ–ˆ๋‹ค๊ณ  ํŒ๋‹จํ–ˆ๋‹ค. ๋˜ํ•œ ์˜จ๋ผ์ธ ํ”Œ๋žซํผ ๊ธฐ์—…์ด ๊ด€๋ จ ๋…ธ๋™์ž์™€ ์ง์ ‘ ๊ทผ๋กœ๊ณ„์•ฝ์„ ๋งบ์„ ๊ฐ€๋Šฅ์„ฑ์ด ๋‚ฎ์€ ์‚ฌ์—…๊ตฌ์กฐ๋ฅผ ๊ณ ๋ คํ•ด ์‹ค์งˆ์ ์ธ ๊ณ ์šฉ๊ด€๊ณ„๊ฐ€ ์„ฑ๋ฆฝ๋๋‹ค๊ณ  ๋ดค๋‹ค. ๋Œ€๋ฒ•์›์€ "๋‹ค๋ณ€ํ™”๋œ ํ˜„๋Œ€์˜ ๊ณ ์šฉํ˜•ํƒœ์— ๋น„์ถฐ๋ณผ ๋•Œ ์—ด์•…ํ•œ ๊ทผ๋กœ์ž์ผ์ˆ˜๋ก ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ๋…ธ๋™์œ„์›ํšŒ ๊ตฌ์ œ์ ˆ์ฐจ๋ฅผ ์ด์šฉํ•  ํ•„์š”์„ฑ์ด ๋”์šฑ ํฌ๋‹ค"๋ฉฐ "์˜จ๋ผ์ธ ํ”Œ๋žซํผ์„ ๋งค๊ฐœ๋กœ ํ•œ ๋…ธ๋ฌด์ œ๊ณต๊ด€๊ณ„์—๋„ ๊ทผ๋กœ๊ธฐ์ค€๋ฒ•์ƒ ๊ทผ๋กœ์ž์„ฑ์„ ๊ณ ๋ คํ•ด์•ผ ํ•œ๋‹ค"๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

"์ด์ œ ๋ˆ„๊ฐ€ ํˆฌ์žํ•˜๊ฒ ๋‚˜", ํ”Œ๋žซํผ์—…๊ณ„ 'ํ์—…' ๊ณตํฌ

์ด์— ๊ตญ๋‚ด ํ”Œ๋žซํผ์—…๊ณ„๋Š” ๋น„์ƒ์ด ๊ฑธ๋ ธ๋‹ค. ๋‹น์žฅ ์˜์นด๋Š” A์”จ ๋“ฑ 70์—ฌ ๋ช…์˜ ๋ถ€๋‹นํ•ด๊ณ  ์ฃผ์žฅ์— ๋Œ€ํ•œ ๋ฐฐ์ƒ์ฑ…์ž„์„ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•œ๋‹ค. ์ด์— ๋”ฐ๋ผ ํ”Œ๋žซํผ ์‚ฌ์—…์ž์˜ ์ธ๊ฑด๋น„์™€ ๋…ธ๋ฌด ๊ด€๋ฆฌ ๋ถ€๋‹ด๋„ ์ฆ๊ฐ€ํ•  ์ˆ˜๋ฐ–์— ์—†๋‹ค. ์˜์นด ์ธก์€ โ€œ๋ฒ•์›์ด ํƒ€๋‹ค ๋“œ๋ผ์ด๋ฒ„ ๊ณต๊ธ‰์—…์ฒด์™€ ํƒ€๋‹ค ์„œ๋น„์Šค ์šด์˜์‚ฌ์˜ ์กด์žฌ์™€ ์—ญํ• ์„ ๋ถ€์ •ํ•œ ๊ฒƒ์€ ํ”Œ๋žซํผ ์‚ฌ์—…์ด๋ผ๋Š” ํŠน์„ฑ์„ ๊ฐ„๊ณผํ•œ ๊ฒƒโ€์ด๋ผ๋ฉฐ ์œ ๊ฐ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค.

์ด๋ฒˆ ํƒ€๋‹ค ํŒ๊ฒฐ์„ ๊ณ„๊ธฐ๋กœ ๋‹ค๋ฅธ ํ”Œ๋žซํผ์—์„œ๋„ ์œ ์‚ฌ ์†Œ์†ก์ด ์ด์–ด์งˆ ๊ฒฝ์šฐ ํ•œ๊ตญ์˜ ํ”Œ๋žซํผ ์ƒํƒœ๊ณ„ ์ž์ฒด๊ฐ€ ํ”๋“ค๋ฆด ์ˆ˜ ์žˆ๋‹ค๋Š” ์šฐ๋ ค๋„ ์ œ๊ธฐ๋œ๋‹ค. ํ”„๋ฆฌ๋žœ์„œ ์„œ๋น„์Šค ๊ณต๊ธ‰์ž์™€ ์ด์šฉ์ž๋ฅผ ์—ฐ๊ฒฐํ•ด ์ฃผ๋Š” ํ”Œ๋žซํผ ์ค‘ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ(BM) ์ž์ฒด๋ฅผ ์žฌ๊ฒ€ํ† ํ•ด์•ผ ํ•  ํšŒ์‚ฌ๊ฐ€ ์ ์ง€ ์•Š์•„์„œ๋‹ค. ํ•œ ์Šคํƒ€ํŠธ์—… ์ฐฝ์—…์ž๋Š” โ€œํ”Œ๋žซํผ ์‚ฌ์—… ๋ชจ๋ธ ์ž์ฒด๊ฐ€ ์ผ๊ณผ ๊ณ ์šฉ์ž๋ฅผ ์ด์–ด์ฃผ๋Š” ๊ฒƒ์ธ๋ฐ ์ด๋ฒˆ ํŒ๊ฒฐ๋กœ ๊ณ ๋ฏผํ•ด์•ผ ํ•  ํšŒ์‚ฌ๋“ค์ด ๋งŽ์„ ๊ฒƒโ€์ด๋ผ๊ณ  ํ–ˆ๋‹ค.

์–ผ์–ด๋ถ™์€ ํ”Œ๋žซํผ ํˆฌ์ž๊ฐ€ ๋”์šฑ ์œ„์ถ•๋  ๊ฒƒ์ด๋ผ๋Š” ๋ชฉ์†Œ๋ฆฌ๋„ ๋‚˜์˜จ๋‹ค. ํ•œ ๋ฒค์ฒ˜์บํ”ผํ„ธ(VC) ๊ด€๊ณ„์ž๋Š” โ€œ์ด์ œ ์–ด๋–ค ํˆฌ์ž์ž๊ฐ€ ๋ฒ•์  ๋ฆฌ์Šคํฌ๊ฐ€ ์žˆ๋Š” ํ”Œ๋žซํผ ๊ธฐ์—…๋“ค์— ์ ๊ทน์ ์œผ๋กœ ํˆฌ์žํ•˜๋ ค๊ณ  ํ•˜๊ฒ ๋ƒโ€๋ฉฐ โ€œํ”Œ๋žซํผ ์ƒํƒœ๊ณ„์— ๋ˆ์ด ๋Œ์ง€ ์•Š์œผ๋ฉด ํ์—…ํ•˜๋Š” ํ”Œ๋žซํผ์ด ๋Š˜์–ด๋‚  ๊ฒƒโ€์ด๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ์˜ฌํ•ด ์ƒ๋ฐ˜๊ธฐ ๊ธฐ์ค€ ๊ตญ๋‚ด ํ”Œ๋žซํผ ์Šคํƒ€ํŠธ์—…์— ๋Œ€ํ•œ ํˆฌ์ž๋Š” 2๋…„ ์ „ ๋Œ€๋น„ 4๋ถ„์˜ 1 ์ˆ˜์ค€์œผ๋กœ ๊ธ‰๊ฐํ–ˆ๋‹ค.

TADA Uber TE 002 20240726
์‚ฌ์ง„=์šฐ๋ฒ„

็พŽ ๋Œ€๋ฒ•์›, '์šฐ๋ฒ„-๋…ธ๋™๊ณ„' ๊ธด ์‹ธ์›€์— ์ข…์ง€๋ถ€ "๊ธฑ์›Œ์ปค๋Š” ๋…๋ฆฝ๊ณ„์•ฝ ๊ฐ€๋Šฅ"

ํ•œํŽธ ์ด๋ฒˆ ํƒ€๋‹ค ์†Œ์†ก์— ๋Œ€ํ•œ ํŒ๊ฒฐ์€ ๋ฏธ๊ตญ ๋Œ€๋ฒ•์›์˜ ํŒ๊ฒฐ๊ณผ๋Š” ๋ฐฐ์น˜๋œ๋‹ค๋Š” ์ ์—์„œ ์ฃผ๋ชฉ๋œ๋‹ค. 25์ผ(ํ˜„์ง€์‹œ๊ฐ„) ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋Œ€๋ฒ•์›์€ ์ด๋‚  "์šฐ๋ฒ„(Uber), ๋ฆฌํ”„ํŠธ(Lyft), ๋„์–ด๋Œ€์‹œ(DoorDash) ๋“ฑ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ธฐ๋ฐ˜ ์šด์†กยท๋ฐฐ๋‹ฌํšŒ์‚ฌ ์šด์ „์ž๋Š” ๋ช‡ ๊ฐ€์ง€ ์กฐ๊ฑด์„ ์ถฉ์กฑํ•˜๋Š” ํ•œ ํšŒ์‚ฌ์˜ ์ง์›์ด ์•„๋‹Œ ๋…๋ฆฝ ๊ณ„์•ฝ์ž"๋ผ๋ฉฐ "์šด์ „์ž๋Š” ์ง์›์—๊ฒŒ ์ ์šฉ๋˜๋Š” ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ์‚ฐ์žฌ ๋ณด์ƒ๋ฒ•์˜ ์ ์šฉ์„ ๋ฐ›์ง€ ์•Š๋Š”๋‹ค"๊ณ  ํŒ๊ฒฐํ–ˆ๋‹ค. ์ด๋Š” ๊ธฑ ์›Œ์ปค(Gig Worker, ์ดˆ๋‹จ๊ธฐ ๊ทผ๋กœ์ž)๋ฅผ ๊ทผ๋กœ์ž๋กœ ๋ด์•ผ ํ•œ๋‹ค๊ณ  ์ฃผ์žฅํ•œ ์บ˜๋ฆฌํฌ๋‹ˆ์•„์ฃผ ๋ฐ ์ผ๋ถ€ ๋…ธ๋™์กฐํ•ฉ๊ณผ ๋…๋ฆฝ ๊ณ„์•ฝ์ž๋กœ ๋ด์•ผ ํ•œ๋‹ค๋Š” ์Šน์ฐจ๊ณต์œ ยท๋ฐฐ๋‹ฌ์—…๊ณ„ ๊ฐ„์˜ ๊ฐˆ๋“ฑ์—์„œ ํ›„์ž์˜ ์†์„ ๋“ค์–ด์ค€ ๊ฒƒ์ด๋‹ค.

์บ˜๋ฆฌํฌ๋‹ˆ์•„์ฃผ์˜ํšŒ๋Š” 2019๋…„ ๊ธฑ ์›Œ์ปค๋ฅผ ์ •๊ทœ์ง์œผ๋กœ ๊ณ ์šฉํ•ด์•ผ ํ•œ๋‹ค๋Š” ๋‚ด์šฉ์˜ AB5(Assembly Bill 5) ๋ฒ•์•ˆ์„ ํ†ต๊ณผ์‹œ์ผฐ๋‹ค. ์ด์— ์ด๋“ฌํ•ด ํ”Œ๋žซํผ ๊ธฐ์—…๋“ค์€ '์ฃผ๋ฏผํˆฌํ‘œ' ์นด๋“œ๋ฅผ ๋“ค๊ณ ๋‚˜์™”๋‹ค. ๊ธฑ ์›Œ์ปค๋“ค์„ ๋…๋ฆฝ๊ณ„์•ฝ์ž ์‹ ๋ถ„์œผ๋กœ ์ธ์ •ํ•˜๋˜ ์ตœ์ €์ž„๊ธˆ์˜ 120%์™€ ๊ฐ์ข… ๋ณดํ—˜, ์ฐจ๋ณ„ ๋ฐ ์„ฑํฌ๋กฑ ๋ฐฉ์ง€ ๋“ฑ์„ ๋ณด์žฅํ•˜๋Š” ๋‚ด์šฉ์˜ ์ฃผ๋ฏผ๋ฐœ์˜์•ˆ ์ œ22ํ˜ธ๋‹ค. ๊ฒฐ๊ณผ๋Š” ์ฐฌ์„ฑ 58%๋กœ ํ”Œ๋žซํผ ๊ธฐ์—…๋“ค์˜ ์Šน๋ฆฌ์˜€๋‹ค.

์ดํ›„ ์ผ๋ถ€ ๋…ธ๋™์กฐํ•ฉ์ด ํ•ญ์†Œ๋ฅผ ์ œ๊ธฐ, 2021๋…„ ์บ˜๋ฆฌํฌ๋‹ˆ์•„์ฃผ ๊ณ ๋“ฑ๋ฒ•์›์ด ์œ„ํ—Œ ํŒ๊ฒฐ์„ ๋‚ด๋ ธ์œผ๋‚˜ ์ง€๋‚œํ•ด ์บ˜๋ฆฌํฌ๋‹ˆ์•„์ฃผ ํ•ญ์†Œ๋ฒ•์›์—์„œ ํ•˜๊ธ‰์‹ฌ ํŒ๊ฒฐ์ด ๋‹ค์‹œ ๋’ค์ง‘ํ˜”๊ณ , ๋Œ€๋ฒ•์›์€ ํ•ญ์†Œ๋ฒ•์› ํŒ๊ฒฐ์„ ์ธ์ •ํ–ˆ๋‹ค. ์ด๋กœ์จ ํ”Œ๋žซํผ ๊ธฐ์—…๋“ค์€ ์ˆ˜๋…„ ๊ฐ„์˜ ๋ฒ•์  ๋ถ„์Ÿ์„ ์ข…๊ฒฐํ•˜๊ณ  ์‚ฌ๋ฒ• ๋ฆฌ์Šคํฌ๋ฅผ ํ•ด์†Œํ•˜๊ฒŒ ๋๋‹ค. ๋…ธ์•„ ์—๋“œ์›Œ์Šจ(Noah Edwardsen) ์šฐ๋ฒ„ ๋Œ€๋ณ€์ธ์€ "์šด์ „๊ธฐ์‚ฌ๋‚˜ ๋ฐฐ๋‹ฌ์›์ด ์ผ์ฃผ์ผ์— ๋ช‡ ์‹œ๊ฐ„์„ ์ผํ•˜๋“  ์›ํ•˜๋Š” ์‹œ๊ฐ„๊ณผ ๋ฐฉ์‹์œผ๋กœ ์ผํ•  ์ž์œ ๊ฐ€ ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋ฒ•์— ํ™•๊ณ ํžˆ ์ƒˆ๊ฒจ์ง€๊ฒŒ ๋๋‹ค"๊ณ  ๋ฐํ˜”๋‹ค.

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8 months 3 weeks
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์ด๋™์ง„
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๊ธฐ์ž
Bio
[email protected]
ํ‘๋ฐฑ์˜ ์„ธ์ƒ์—์„œ ํšŒ์ƒ‰์ง€๋Œ€๋ฅผ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฐ์—… ํ˜„์žฅ์„ ์ทจ์žฌํ•œ ๊ฒฝํ—˜์„ ํ†ตํ•ด IT ๊ธฐ์—…๋“ค์˜ ํ˜„์žฌ์™€ ๊ทธ ์†์— ๋‹ด๊ธธ ํ•œ๊ตญ์˜ ๋ฏธ๋ž˜๋ฅผ ์ „ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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[๋”ฅํ…Œํฌ] ๋ณด์•ˆ ์šฐ๋ ค ๋ถˆ ๋ถ™์ธ ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ ์‚ฌํƒœ, โ€œ์กฐ์ง ๋ณด์˜€๋‹คโ€

[๋”ฅํ…Œํฌ] ๋ณด์•ˆ ์šฐ๋ ค ๋ถˆ ๋ถ™์ธ ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ ์‚ฌํƒœ, โ€œ์กฐ์ง ๋ณด์˜€๋‹คโ€
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8 months 3 weeks
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Vicky Jung
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Analyst
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[email protected]
ํ˜„์žฅ์—์„œ ๋‚˜์˜ค๋Š” ์ •๋ณด์˜ ํž˜์„ ๋ฏฟ์Šต๋‹ˆ๋‹ค. ๊นŠ์ด ์žˆ๊ณ  ์ •ํ™•ํ•œ ์ •๋ณด๋ฅผ ์ „๋‹ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์ˆ˜์ •

๊ณต๊ธ‰๋ง ์˜ค๋ฅ˜ยทํ•ดํ‚น ๊ณต๊ฒฉ์œผ๋กœ ์œ ์‚ฌ ๋ณด์•ˆ ์‚ฌ๊ณ  ์ž‡๋”ฐ๋ผ
2019๋…„ ์†”๋ผ์œˆ์ฆˆ ์‚ฌํƒœ, ์ด๋ฒˆ ์‚ฌ๊ฑด ์ „์ดˆ์  ๊ฒฉ
๋ณด์•ˆ ๊ณต๊ธ‰์—…์ฒด์— ๋Œ€ํ•œ ์ „๋ฐฉ์œ„์  ์‹ค์‚ฌ ๊ฑฐ์ณ์•ผ

๋” ์ด์ฝ”๋…ธ๋ฏธ(The Economy) ๋ฐ ์‚ฐํ•˜ ์ „๋ฌธ์ง€๋“ค์˜ [Deep] ์„น์…˜์€ ํ•ด์™ธ ์œ ์ˆ˜์˜ ๊ธˆ์œต/๊ธฐ์ˆ /์ •์ฑ… ์ „๋ฌธ์ง€๋“ค์—์„œ ์ „ํ•˜๋Š” ์—…๊ณ„ ์ „๋ฌธ๊ฐ€๋“ค์˜ ์˜๊ฒฌ์„ ๋‹ด์•˜์Šต๋‹ˆ๋‹ค. ๋ณธ์‚ฌ์ธ ๊ธ€๋กœ๋ฒŒAIํ˜‘ํšŒ(GIAI)์—์„œ ๋ฒˆ์—ญ๋ณธ์— ๋Œ€ํ•ด ์ฝ˜ํ…์ธ  ์ œํœด๊ฐ€ ์ง„ํ–‰ ์ค‘์ž…๋‹ˆ๋‹ค.


์‚ฌ์ง„=Scientific American
์‚ฌ์ง„=Scientific American

๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ(Microsoft, MS)์˜ ๋Œ€๊ทœ๋ชจ ํด๋ผ์šฐ๋“œ ์žฅ์•  ์‚ฌํƒœ ์ดํ›„ ๊ธฐ์—…๊ณผ ๊ณต๊ณต๊ธฐ๊ด€๋“ค์˜ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ์šฐ๋ ค๊ฐ€ ์ปค์ง€๊ณ  ์žˆ๋‹ค. ์ด ๊ฐ™์€ ์‚ฌํƒœ์˜ ์ค‘์‹ฌ์—” ์‚ฌ์ด๋ฒ„ ๋ณด์•ˆ์—…์ฒด์ธ ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ(CrowdStrike)์˜ ๋ถ€์‹คํ•œ ํ’ˆ์งˆ ๋ฌธ์ œ๊ฐ€ ์ž๋ฆฌ ์žก๊ณ  ์žˆ๋‹ค.

ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ็™ผ '์„ธ๊ณ„ IT ๋Œ€๋ž€'

์ง€๋‚œ 19์ผ(ํ˜„์ง€์‹œ๊ฐ„) ๋ฐœ์ƒํ•œ MS ํด๋ผ์šฐ๋“œ ์žฅ์•  ์‚ฌํƒœ๋Š” ์ „ ์„ธ๊ณ„ ๊ณตํ•ญ๊ณผ ๋ณ‘์› ๋“ฑ์˜ ์—…๋ฌด๋ฅผ ๋งˆ๋น„์‹œ์ผฐ๊ณ , ํŒŒ๋ฆฌ์˜ฌ๋ฆผํ”ฝ ์ถœ์ „ ์„ ์ˆ˜๋“ค์˜ ์œ ๋‹ˆํผ ์šด์†ก์—๋„ ์ง€์žฅ์„ ์ดˆ๋ž˜ํ–ˆ๋‹ค. ์ดํ›„ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ์ „๋ฌธ๊ฐ€๋“ค๊ณผ ๊ธฐ์—…, ์ •๋ถ€๊ธฐ๊ด€๋“ค ์‚ฌ์ด์—์„  ์šฐ๋ ค์˜ ๋ชฉ์†Œ๋ฆฌ๊ฐ€ ๋ถ€์ฉ ์ปค์กŒ๋‹ค. ํŠนํžˆ ์ด๋ฒˆ ์‚ฌํƒœ๋Š” ๊ธฐ์—… ๋„คํŠธ์›Œํฌ์™€ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ… ์„œ๋น„์Šค, ๊ทธ๋ฆฌ๊ณ  ์ธํ„ฐ๋„ท์ด ์ƒํ˜ธ์˜์กด์ ์œผ๋กœ ์ž‘๋™ํ•˜๋Š” ๋ฐฉ์‹๊ณผ ์ด๋กœ ์ธํ•ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ณด์•ˆ ์ทจ์•ฝ์„ฑ์„ ๊ณ ์Šค๋ž€ํžˆ ๋“œ๋Ÿฌ๋ƒˆ๋‹ค.

์ด๋ฒˆ ์‚ฌํƒœ์˜ ์ค‘์‹ฌ์—๋Š” ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ์˜ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ์†Œํ”„ํŠธ์›จ์–ด ํŒ”์ฝ˜(Falcon) ์—…๋ฐ์ดํŠธ ๋ฒ„์ „์— ์˜ค๋ฅ˜๊ฐ€ ์žˆ์—ˆ๊ณ , ์ด ์˜ค๋ฅ˜๊ฐ€ MS ์œˆ๋„์šฐ ์‹œ์Šคํ…œ๊ณผ ์ถฉ๋Œํ•œ ๊ฒƒ์œผ๋กœ ํŒŒ์•…๋๋‹ค. ์ด์— ๋”ฐ๋ผ ์ˆ˜๋งŽ์€ ์„œ๋ฒ„์™€ ์ปดํ“จํ„ฐ๋“ค์„ ์ˆ˜๋™์œผ๋กœ ์žฌ์„ค์ •ํ•ด์•ผ ํ–ˆ๋Š”๋ฐ, ์˜ํ–ฅ์„ ๋ฐ›์€ ๊ธฐ์—…์ฒด ์ƒ๋‹น์ˆ˜๋Š” ์ „ ์„ธ๊ณ„์— ์ˆ˜์ฒœ ๋Œ€์˜ ์„œ๋ฒ„ ๋˜๋Š” ์ปดํ“จํ„ฐ๋ฅผ ๋ฐฐ์น˜ํ•ด ๋‘” ์ƒํ™ฉ์ด๋ผ ํ”ผํ•ด๊ฐ€ ๋”์šฑ ์ปธ๋‹ค.

์—ฌ๊ธฐ์— MS์˜ ์• ์ €(Azure) ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ… ํ”Œ๋žซํผ ์—…๋ฐ์ดํŠธ์™€ ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ์˜ ์—…๋ฐ์ดํŠธ๊ฐ€ ๊ฑฐ์˜ ๋™์‹œ์— ์ถœ์‹œ๋˜๋ฉด์„œ ์ƒํ™ฉ์ด ๋” ์•…ํ™”ํ–ˆ๋‹ค. ๋‹น์‹œ ๋‘ ํšŒ์‚ฌ๋ฅผ ๋น„๋กฏํ•ด ์•„๋งˆ์กด ๋“ฑ ๋น…ํ…Œํฌ ๊ธฐ์—…๋“ค์€ ๋ฌธ์ œ๋ฅผ ์ง์ ‘ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ๊ณ ๊ฐ๋“ค์„ ์œ„ํ•ด ๊ธฐ์ˆ ์  ํ•ด๊ฒฐ์ฑ…์„ ๋ฐœํ‘œํ•˜๊ธฐ๋„ ํ–ˆ์œผ๋‚˜, ์ „ ์„ธ๊ณ„ ์‚ฌ์šฉ์ž ๋Œ€๋ถ€๋ถ„์—๊ฒ ๋น ๋ฅธ ํ•ด๊ฒฐ์ฑ…์ด ๋˜์ง€ ๋ชปํ–ˆ๋‹ค.

์ด๋ ‡๋“ฏ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ๋“ฑ ํ˜„๋Œ€์˜ ๊ธฐ์ˆ  ๊ด€๋ จ ์‚ฌ๊ณ ๋“ค์€ ๊ณ„์†ํ•ด์„œ ์ƒˆ๋กœ์šด ๋ฐฉ์‹์œผ๋กœ ์„ธ๊ณ„๋ฅผ ๋งˆ๋น„์‹œํ‚ค๊ณ  ์žˆ๋‹ค. ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ์˜ ์ด๋ฒˆ ์—…๋ฐ์ดํŠธ ๋ฌธ์ œ ๊ฐ™์€ ๋Œ€ํ˜• ์‚ฌ๊ฑด๋“ค์€ ๋น„์ฆˆ๋‹ˆ์Šค ์„ธ๊ณ„์— ํ˜ผ๋ž€์„ ์ดˆ๋ž˜ํ•˜๋Š” ๊ฒƒ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ตญ์ œ์‚ฌํšŒ ์ „์ฒด๋ฅผ ๋’คํ”๋“ ๋‹ค. ์ด๋Ÿฐ ์‚ฌ๊ฑด๋“ค์ด ์ƒ์‚ฐ์„ฑ์„ ๋–จ์–ด๋œจ๋ฆฌ๊ฑฐ๋‚˜ ๋น„์ฆˆ๋‹ˆ์Šค ์ ˆ์ฐจ๋ฅผ ์ง€์—ฐ์‹œํ‚ค๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์ œ์  ์†ํ•ด๋„ ๋ง‰๋Œ€ํ•˜๋‹ค. 

ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ๋Š” ์‚ฌ์‹ค์ƒ ์˜ˆ๊ฒฌ๋œ ์‚ฌํƒœ, ์ „์ดˆ์ „๋„ ์žˆ์—ˆ๋‹ค

์‚ฌ์‹ค ์ด๋ฒˆ ์‚ฌํƒœ๋Š” ์–ด๋А ์ •๋„ ์˜ˆ์ธก๋œ ์ธก๋ฉด์ด ์žˆ๋‹ค. ์ง€๋‚œ๋‹ฌ 11์ผ ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ๊ฐ€ ์ž์‚ฌ ๋ธ”๋กœ๊ทธ์— โ€˜์ƒํƒœ๊ณ„ ์ˆ˜์ค€์˜ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ๊ตฌ์ถ•โ€™์ด๋ผ๋Š” ์ œ๋ชฉ์œผ๋กœ ์˜ฌ๋ฆฐ ๊ธ€์ด ์ด๋ฅผ ๋Œ€๋ณ€ํ•œ๋‹ค. ํ•ด๋‹น ๊ธฐ๊ณ ๋ฌธ์€ ๊ธ€๋กœ๋ฒŒ ์ปดํ“จํŒ… ์ƒํƒœ๊ณ„๊ฐ€ ๊ณต๊ธ‰์—…์ฒด๋“ค์˜ ๊ธฐ์ˆ ์  ์˜ค๋ฅ˜ ๋•Œ๋ฌธ์— ์†์ƒ๋˜๊ณ  ์žˆ๋‹ค๊ณ  ์ง€์ ํ–ˆ๋‹ค. ๋‹ค๋งŒ ๊ทธ ๋ฌธ์ œ์˜ ๊ณต๊ธ‰์—…์ฒด๊ฐ€ ์ž์‚ฌ์ผ ๊ฒƒ์ด๋ผ๊ณค ์ „ํ˜€ ์˜ˆ์ƒํ•˜์ง€ ๋ชปํ•œ ์…ˆ์ด๋‹ค.

๊ทธ๊ฐ„ ์†Œํ”„ํŠธ์›จ์–ด ๊ณต๊ธ‰๋ง์€ ์‚ฌ์ด๋ฒ„๋ณด์•ˆ ๊ด€๋ จ ์šฐ๋ ค์˜ ์ค‘์‹ฌ์— ๋†“์—ฌ ์žˆ์—ˆ๋‹ค. ๋‹จ์ผ ์žฅ์• ์ (๋™์ž‘์ด ๋ฉˆ์ท„์„ ๋•Œ ์ „์ฒด ์‹œ์Šคํ…œ ์ค‘๋‹จ์„ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๋Š” ์š”์†Œ)์ด ๋  ๊ฐ€๋Šฅ์„ฑ์„ ์—ผ๋ คํ•˜๋Š” ๋ชฉ์†Œ๋ฆฌ๋„ ๋†’์•˜๋‹ค. ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ์™€ MS, ์• ํ”Œ ๋“ฑ์˜ ๊ธฐ์—…์ด ๊ฐœ์ธ๊ณผ ๊ธฐ์—…์˜ ์ปดํ“จํ„ฐ์— ์ ‘๊ทผํ•  ๊ถŒํ•œ์„ ์ฅ๊ณ  ์žˆ๋Š” ๊ฒƒ๋„ ์†Œ๋น„์ž๋“ค์˜ ๋ณด์•ˆ ์ทจ์•ฝ์„ฑ์„ ๋†’์ด๋Š” ๋Œ€๋ชฉ์ด๋‹ค. ์†Œ๋น„์ž๋“ค์€ ์ด๋“ค ํšŒ์‚ฌ์˜ ์ž์ฒด ๋ณด์•ˆ์ด ์—„๊ฒฉํ•˜๊ฒŒ ์œ ์ง€๋˜๋Š” ํ•œํŽธ ์ด๋“ค์ด ๋‚ด๋†“๋Š” ์ œํ’ˆ๋“ค ์—ญ์‹œ ๊ณ ๊ฐ ์‹œ์Šคํ…œ์— ์ ์šฉ๋˜๊ธฐ ์ „ ์—ฌ๋Ÿฌ ์ฐจ๋ก€ ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด ๊ฒฌ๊ณ ํ•˜๊ฒŒ ์ œ์ž‘๋๋‹ค๋Š” ์‚ฌ์‹ค์„ ์‹ ๋ขฐํ•  ์ˆ˜๋ฐ–์— ์—†๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.

์ด๋Ÿฌํ•œ ๊ด€์ ์—์„œ ์ง€๋‚œ 2019๋…„ ๋ฐœ์ƒํ•œ ์†”๋ผ์œˆ์ฆˆ(SolarWinds) ์‚ฌํƒœ๋Š” ์ด๋ฒˆ ์‚ฌ๊ฑด์˜ ์ „์ดˆ์ „์ด๋ผ๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๋‹น์‹œ ์†”๋ผ์œˆ์ฆˆ๋Š” ๋Ÿฌ์‹œ์•„ ํ•ดํ‚น๊ทธ๋ฃน ๋…ธ๋ฒจ๋ฆฌ์›€(Nobelium)์˜ ๊ณต๊ฒฉ์„ ๋ฐ›์€ ๋ฐ” ์žˆ๋‹ค. ๋…ธ๋ฒจ๋ฆฌ์›€์€ ์†”๋ผ์œˆ์ฆˆ์— ๋Œ€ํ•œ ๊ณต๊ฒฉ์„ ํ†ตํ•ด ๋ฏธ ๊ตญ๋ฐฉ๋ถ€๋ฅผ ๋น„๋กฏํ•œ ์ˆ˜๋งŽ์€ ์ •๋ถ€ ๊ธฐ๊ด€์˜ ์‚ฌ์ด๋ฒ„ ์นจ์ž…์„ ๋…ธ๋ฆฐ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์กŒ๋‹ค.

๋ณด์•ˆ ์ œ๊ณต์—…์ฒด ์‹ค์‚ฌ ์ ˆ์ฐจ ์ถ”๊ฐ€ํ•˜๊ณ  ๋ฐฑ์—… ์‹œ์Šคํ…œ ๊ตฌ์ถ•ํ•ด์•ผ

๋‹ค๋งŒ ์กฐ์ง€ ์ปค์ธ (George Kurtz) ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ CEO๋Š” โ€œ์ด๋ฒˆ ์‚ฌ๊ฑด์€ ๋ณด์•ˆ ์‚ฌ๊ณ ๋‚˜ ์‚ฌ์ด๋ฒ„ ๊ณต๊ฒฉ์ด ์•„๋‹ˆ๋‹คโ€๋ผ๋ฉฐ โ€œ์–ด๋–ค ๋ฌธ์ œ์ธ์ง€ ํ™•์ธ๋๊ณ , ํ•ด๋‹น ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๊ฒฉ๋ฆฌํ•œ ์ฑ„ ์ˆ˜์ •์„ ์ง„ํ–‰ ์ค‘โ€์ด๋ผ๊ณ  ํ•ดํ‚น ๊ฐ€๋Šฅ์„ฑ์„ ์ผ์ถ•ํ–ˆ๋‹ค. ๋ฌผ๋ก  ํฌ๋ผ์šฐ๋“œ์ŠคํŠธ๋ผ์ดํฌ ์ž…์žฅ์—์„  ์ด๋ฒˆ ์‚ฌ๊ฑด์„ ํ•ดํ‚น์œผ๋กœ ๋ณด์ง€ ์•Š๋Š” ๊ฒŒ ํƒ€๋‹นํ•  ์ˆ˜๋„ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋ฒˆ ์ผ์ด ๊ณ ๊ฐ๋“ค์—๊ฒŒ ์‚ฌ์ด๋ฒ„์•ˆ๋ณด ๊ด€๋ จ ๋ฌธ์ œ๋ฅผ ์ผ์œผ์ผฐ๋‹ค๋Š” ์‚ฌ์‹ค ๋งŒํผ์€ ์ž๋ช…ํ•˜๋‹ค. ๋‹น์žฅ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ณ ๊ฐ๋“ค์˜ ์ธํ„ฐ๋„ท ๋ณด์•ˆ ์žฅ์น˜๋ฅผ ๋น„ํ™œ์„ฑํ™”ํ•  ์ˆ˜๋Š” ์žˆ์ง€๋งŒ, ๊ทธ๋กœ ์ธํ•ด ๋ฒ”์ฃ„์ž๊ฐ€ ๊ณ ๊ฐ๋“ค์˜ ๋„คํŠธ์›Œํฌ์— ์นจ์ž…ํ•  ์—ฌ์ง€๊ฐ€ ์ƒ๊ธธ ์ˆ˜ ์žˆ๊ณ , ๊ณ ๊ฐ๋“ค์ด ๋‹ค์–‘ํ•œ ์Šค์บ  ์‚ฌ๊ธฐ์˜ ํƒ€๊นƒ์ด ๋  ์ˆ˜๋„ ์žˆ๋‹ค. ๋ณด์•ˆ ๊ฐ•ํ™”๋ฅผ ๋„์™€์ค€๋‹ค๋Š” ๋“ฑ์˜ ๊ฐ€์งœ ์ด๋ฉ”์ผ์— ์†์•„ ๋„˜์–ด๊ฐ”๋‹ค๊ฐ€ ์‹ ์›์„ ํƒˆ์ทจ๋‹นํ•˜๊ฑฐ๋‚˜ ์ œ๋Œ€๋กœ ๊ธฐ๋Šฅํ•˜์ง€๋„ ์•Š๋Š” ๋ณด์•ˆ ํ”„๋กœ๊ทธ๋žจ์— ๋ˆ์„ ๋‚ญ๋น„ํ•˜๋Š” ์ผ ๋“ฑ์ด ๋Œ€ํ‘œ์ ์ธ ๋ณด์•ˆ ๊ด€๋ จ ์Šค์บ  ์‚ฌ๋ก€๋‹ค.

ํ•œํŽธ ์ด๋ฒˆ ์‚ฌ๊ฑด๊ณผ ๊ด€๋ จํ•ด ๋ณด์•ˆ ํ”„๋กœ๊ทธ๋žจ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ธฐ์—…๊ณผ ์‚ฌ์šฉ์ž๋“ค์€ ์ˆ˜์ • ์—…๋ฐ์ดํŠธ๊ฐ€ ๊ฐ€๋Šฅํ•ด์งˆ ๋•Œ๊นŒ์ง€ ๊ธฐ๋‹ค๋ฆฌ๊ฑฐ๋‚˜, ์ž์ฒด ๋ณต๊ตฌ๋ฅผ ์‹œ๋„ํ•ด์•ผ ํ•˜๋Š” ์ƒํ™ฉ์ด๋‹ค. ์ด์–ด ์‚ฌํƒœ ์ˆ˜์Šต์ด ๋งˆ๋ฌด๋ฆฌ๋˜๊ณ  ๋‚˜๋ฉด ํšŒ๋ณต์„ ์œ„ํ•œ ์ž‘์—…์—๋„ ์ฐฉ์ˆ˜ํ•ด์•ผ ํ•œ๋‹ค. ์†Œํ”„ํŠธ์›จ์–ด ๊ณต๊ธ‰๋ง ์‚ฌ๊ณ ๊ฐ€ ์ž์ฃผ ๋ฐœ์ƒํ•˜๋ฉด ๋ณด์•ˆํ”„๋กœ๊ทธ๋žจ ์‚ฌ์šฉ์ž๋“ค์€ ์‹œ์Šคํ…œ ์—…๋ฐ์ดํŠธ๋ฅผ ๋ง์„ค์ผ ์ˆ˜๋ฐ–์— ์—†์œผ๋‚˜, ์‹œ์Šคํ…œ์„ ์ •๊ธฐ์ ์œผ๋กœ ์—…๋ฐ์ดํŠธํ•˜์ง€ ์•Š๋Š” ๊ฒƒ ๋˜ํ•œ ์ƒˆ๋กœ์šด ๋ฌธ์ œ๋ฅผ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ์–ด์„œ๋‹ค.

์šฐ์„  ๊ธฐ์—…๋“ค์€ ํ˜„์žฌ ์“ฐ๊ณ  ์žˆ๋Š” ๋ณด์•ˆ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ์—…์ฒด์˜ ์‹ค์‚ฌ ๋“ฑ์„ ํ†ตํ•ด ๋ฏฟ์„ ๋งŒํ•œ ์ œํ’ˆ์ธ์ง€ ํ™•์ธํ•ด์•ผ ํ•œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ๋ณด์•ˆ ๋Œ€๊ธฐ์—…๋“ค์€ ์—…๋ฐ์ดํŠธ๋ฅผ ๋ฐฐํฌํ•˜๊ธฐ ์ „ ์ œํ’ˆ ํ…Œ์ŠคํŠธ๋ฅผ ์‹ค์‹œํ•˜๊ธด ํ•˜์ง€๋งŒ, ์ผ๋ถ€ ๋ณด์•ˆ ๋„๊ตฌ ๋“ฑ ์ƒ์‹œ ์‚ฌ์šฉ๋˜๋Š” ์ƒํ’ˆ๋“ค์€ ํ…Œ์ŠคํŠธ ๋Œ€์ƒ์—์„œ ์ œ์™ธ๋˜๋Š” ๊ฒฝ์šฐ๋„ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์•„์šธ๋Ÿฌ ๊ธฐ์—…์€ ๋ฌผ๋ก  ์ •๋ถ€๊ธฐ๊ด€๋„ ๋„คํŠธ์›Œํฌ ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•  ๋•Œ ํŠนํžˆ ํšŒ๋ณต์„ฑ์— ์ดˆ์ ์„ ๋งž์ถฐ์•ผ ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„  ๊ณต๊ฒฉ์ž๋“ค์ด ๋ชฉํ‘œ๋กœ ์‚ผ์„ ๋งŒํ•œ ๋‹จ์ผ ์žฅ์• ์ ์„ ๋งŒ๋“ค์ง€ ์•Š๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ๋”๋ถˆ์–ด ์ž์‚ฌ์˜ ๋ณด์•ˆ ํ”„๋กœ๊ทธ๋žจ์ด ๋‹ค๋ฅธ ์ œํ’ˆ ๋˜๋Š” ์‹œ์Šคํ…œ๊ณผ ์–ฝํ˜€ ์ž‘๋™ํ•˜๋Š” ๊ฑด ์•„๋‹Œ์ง€ ์—ฌ๋ถ€๋ฅผ ํ™•์ธํ•ด์•ผ ํ•˜๋ฉฐ, ์‚ฌ์ด๋ฒ„ ๋ณด์•ˆ๊ณผ ์ „๋ฐ˜์ ์ธ IT ๊ด€๋ฆฌ์— ๋Œ€ํ•œ ๋ชจ๋ฒ” ์‚ฌ๋ก€๋“ค์„ ๊ตฌ์ถ•ํ•  ํ•„์š”๋„ ์žˆ๋‹ค. ์ผ๋ก€๋กœ ๊ฐ•๋ ฅํ•œ ๋ฐฑ์—… ์‹œ์Šคํ…œ์€ ์‚ฌ๊ณ  ๋ฐœ์ƒ ์‹œ ํ”ผํ•ด๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ์š”์†Œ๋‹ค. ๋˜ํ•œ ์ ์ ˆํ•œ ์ •์ฑ…๊ณผ ์ ˆ์ฐจ, ์ธ๋ ฅ ๊ด€๋ฆฌ ๋“ฑ๋„ ํ•„์ˆ˜์ ์ด๋‹ค.

์›๊ธ€์˜ ์ €์ž์ธ ๋ฆฌ์ฒ˜๋“œ ํฌ๋…ธ(Richard Forno)๋Š” ๋ฏธ๊ตญ UMBC(University of Maryland, Baltimore County) ์ปดํ“จํ„ฐ์‚ฌ์ด์–ธ์Šค ๋ฐ ์ „๊ธฐ๊ณตํ•™ ํ•™๊ณผ์˜ ๊ฐ•์‚ฌ์ž…๋‹ˆ๋‹ค. ์˜์–ด ์›๋ฌธ ๊ธฐ์‚ฌ๋Š” Massive CrowdStrike Tech Outage Highlights Global Vulnerabilities | Scientific American์— ๊ฒŒ์žฌ๋ผ ์žˆ์Šต๋‹ˆ๋‹ค.

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Member for

8 months 3 weeks
Real name
Vicky Jung
Position
Analyst
Bio
[email protected]
ํ˜„์žฅ์—์„œ ๋‚˜์˜ค๋Š” ์ •๋ณด์˜ ํž˜์„ ๋ฏฟ์Šต๋‹ˆ๋‹ค. ๊นŠ์ด ์žˆ๊ณ  ์ •ํ™•ํ•œ ์ •๋ณด๋ฅผ ์ „๋‹ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

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