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South Korea’s AI Bubble Just Popped — Transcript

by Andrei Jikh · 3,999 words · 647 segments · language en · Watch on YouTube

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  1. 0:00So, just 3 weeks ago, South Korea had
  2. 0:02the best-performing stock market in the
  3. 0:04world.
  4. 0:06The stock market is something called the
  5. 0:08KOSPI, and it's gone up almost 200% in
  6. 0:11the last 12 months.
  7. 0:13Compared to other stock markets like the
  8. 0:15US's S&P 500, which only made 24%, South
  9. 0:19Korea was just on another level.
  10. 0:21At one point this year, one of their
  11. 0:24companies, Samsung, was up over 500% and
  12. 0:27SK Hynix was up over 1,000%.
  13. 0:31That's basically a 10x on your money,
  14. 0:34which is just unheard of. Now, here in
  15. 0:36the US, our equivalent of the stock
  16. 0:39market is something called the S&P 500,
  17. 0:42represented by ETFs like this one, VOO.
  18. 0:45And inside of this ETF, the top 10
  19. 0:48companies represent 36% of this index,
  20. 0:53which historically is a very high
  21. 0:56concentration.
  22. 0:57But for South Korea's KOSPI, just two
  23. 1:01companies alone, Samsung and SK Hynix,
  24. 1:04represent over 56%
  25. 1:08of their whole stock market. And that's
  26. 1:11all mostly thanks to regular people, or
  27. 1:15retail investors, that have just
  28. 1:17borrowed money to invest into the stock
  29. 1:19market. And that's roughly 14 million
  30. 1:23retail investors. They've put their
  31. 1:25savings and a huge amount of borrowed
  32. 1:27money into those two stocks.
  33. 1:30And then,
  34. 1:31in just 21 days,
  35. 1:33everything started to collapse. The
  36. 1:36KOSPI dropped 25%,
  37. 1:38and because of that, 1.2 million
  38. 1:41accounts, which works out to be one in
  39. 1:44every 30 people in the country, got hit
  40. 1:47with something called margin call
  41. 1:48thresholds. This is what happens when a
  42. 1:51stock goes down far enough to trigger
  43. 1:53the loan on the borrowed money to
  44. 1:54liquidate, or basically be forced to
  45. 1:57sell off their stock investment, even if
  46. 2:00it's at a loss.
  47. 2:02And that's why over 3 trillion won in
  48. 2:04investments were liquidated, which means
  49. 2:07they were automatically sold by brokers
  50. 2:10while Korean investors couldn't do
  51. 2:12anything about it.
  52. 2:13>> So, I mean some massive massive
  53. 2:14correction followed. So, could that
  54. 2:16happen in the US? Yes.
  55. 2:18>> 320,000
  56. 2:20accounts were just wiped out, some of
  57. 2:22them overnight. It got so bad that the
  58. 2:25president of South Korea held an
  59. 2:27emergency intervention for their stock
  60. 2:29market.
  61. 2:30Now, you might be thinking, "Okay, well,
  62. 2:31that's unfortunate for South Korea.
  63. 2:33That's kind of their problem and it
  64. 2:35doesn't affect me."
  65. 2:36But, South Korea is doing the exact same
  66. 2:40thing as the United States, right?
  67. 2:42They're both running the same version of
  68. 2:44the same technique, but Korea's just
  69. 2:46doing a faster, smaller version of the
  70. 2:49same leverage mechanism the US is.
  71. 2:52Which means what happened to South
  72. 2:54Korea, and what is happening to their
  73. 2:56stock market right now as you're
  74. 2:58watching this video, might actually be a
  75. 3:01preview of what's about to come to the
  76. 3:03US. So, in today's video, I want to show
  77. 3:06you exactly what's happening and how
  78. 3:08this could affect investors here in the
  79. 3:10US. So, with that said, let's get into
  80. 3:12it. Hi, my name is Andre Jik. Hope
  81. 3:14you're doing well. Come for the finance
  82. 3:16and stay for South Korea's market crash.
  83. 3:19So, let me explain what's happening
  84. 3:20first and how it's all kind of happening
  85. 3:23in parallel to the United States. So, in
  86. 3:26South Korea, there's about 51 million
  87. 3:28people. 14 million of them, or one in
  88. 3:32four, are what's called retail
  89. 3:34investors. Now, they call themselves
  90. 3:36ants because individually, one ant is
  91. 3:39small and they don't matter, but 14
  92. 3:41million ants working together,
  93. 3:43well, they can move the whole market.
  94. 3:45Make sense.
  95. 3:46After last year, that's exactly what
  96. 3:48they've been doing.
  97. 3:49Why?
  98. 3:50It's because South Korea has a cultural
  99. 3:53expectation that by a certain age,
  100. 3:56you're supposed to have a good job,
  101. 3:58you're supposed to own a home, you're
  102. 3:59supposed to start a family.
  103. 4:01And the problem is housing in South
  104. 4:03Korea has become so expensive that for a
  105. 4:06lot of young people, owning a home
  106. 4:08stopped being a realistic goal.
  107. 4:10>> In South Korea, there's an expectation
  108. 4:12that at certain age you want to have a
  109. 4:14good job, you want to own a house, and
  110. 4:16then you want to start a family. Young
  111. 4:19people who feel like they're out of to
  112. 4:22own a house are starting to invest in
  113. 4:24stocks so they can start to build
  114. 4:27wealth.
  115. 4:31>> So a whole generation was like, okay,
  116. 4:33well if I can't build wealth through
  117. 4:35owning a house,
  118. 4:36the stock market is the only thing I can
  119. 4:38do. And one of their biggest finance
  120. 4:40influencers actually said that their
  121. 4:42last chance to build wealth is the stock
  122. 4:44market, and if they don't succeed,
  123. 4:46they're just going to get left behind.
  124. 4:47So about 14 million people also think
  125. 4:50this way, which is why they don't just
  126. 4:52invest, they go all in with leverage.
  127. 4:56This is where people take out personal
  128. 4:57loans to buy stocks. They borrow against
  129. 5:00their salaries, and a huge number of
  130. 5:02them
  131. 5:03didn't even buy regular stocks. They buy
  132. 5:05what are called leveraged ETFs. Now, a
  133. 5:09leveraged ETF is a mutual fund that
  134. 5:12multiplies the effects of whatever's
  135. 5:15happening in the stock market. For
  136. 5:17example, a 2x fund means if the stock
  137. 5:20market goes up 1%, you make 2%. A 3x
  138. 5:25fund means you make 3%, which sounds
  139. 5:28amazing. But the catch is that it also
  140. 5:30works exactly the same in reverse,
  141. 5:33right? There was one investor in a
  142. 5:34documentary about this who wouldn't even
  143. 5:36show her face on camera because her
  144. 5:38family didn't know how much leverage she
  145. 5:40was using. Her portfolio was worth over
  146. 5:43$650,000, and she was up 150%,
  147. 5:47and her biggest holdings were these
  148. 5:49leveraged ETFs.
  149. 5:51At the peak, Koreans invested about 10
  150. 5:54trillion won into leveraged funds
  151. 5:56betting on just one company.
  152. 5:59It got so bad, even South Korea's
  153. 6:02government that allowed them this said,
  154. 6:05"Ah, we should probably not have done
  155. 6:06that, right?"
  156. 6:08And what all these people were investing
  157. 6:09in were basically these two stocks,
  158. 6:12Samsung and SK Hynix. These two
  159. 6:14companies make up more than half of the
  160. 6:17whole Korean stock market, the KOSPI.
  161. 6:19Remember that for context, the US's S&P
  162. 6:22500 has 500 companies. Korea's index
  163. 6:26technically also has hundreds, too, but
  164. 6:28in practice,
  165. 6:30over half of that stock market is made
  166. 6:32up of just those two stocks. So,
  167. 6:34basically, the Korean stock market kind
  168. 6:36of trades like a volatile penny stock.
  169. 6:38Now, okay, hold on. Why did those two
  170. 6:42stocks go up so much? And why they went
  171. 6:44up is because of AI and memory, because
  172. 6:47AI data centers need a lot of memory
  173. 6:49chips, which are basically specialized
  174. 6:51semiconductors that store and feed
  175. 6:53information to AI processors. And the
  176. 6:56two companies that dominate that market
  177. 6:59are Samsung and SK Hynix.
  178. 7:02This is where the US stock market comes
  179. 7:05in.
  180. 7:05Companies like Microsoft, Google,
  181. 7:07Amazon, Meta, they have spent $376
  182. 7:11billion on AI infrastructure in 2025.
  183. 7:14And this year in 2026, they're on track
  184. 7:16to spend 725
  185. 7:19billion.
  186. 7:20And a huge chunk of that money has gone
  187. 7:22straight into South Korea.
  188. 7:24So, all of these retail investors are
  189. 7:27not just betting on Korean companies.
  190. 7:30Korea as a country is betting on
  191. 7:33American AI spending, cuz that's what's
  192. 7:36holding up the world's stock market.
  193. 7:38That is how, by July, we had the most
  194. 7:42concentrated major stock market in the
  195. 7:44world held up by leveraged retail
  196. 7:47investors betting on one trade
  197. 7:49continuing forever. That's what
  198. 7:51happened. And now this is sort of
  199. 7:52starting to go in the other direction
  200. 7:55where people are losing a lot of money.
  201. 7:58Okay, so then the question is well, what
  202. 8:01actually popped it? What's forcing all
  203. 8:03these people to sell off their stocks?
  204. 8:06And the answer is
  205. 8:08we did, the United States. Here is how.
  206. 8:11Now before I explain that, have you
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  239. 9:11let's get back to it. So here's how the
  240. 9:13US has sort of popped the bubble in
  241. 9:14Korea.
  242. 9:15In late June, chip stocks in the US
  243. 9:18started selling off. That's because
  244. 9:20investors were getting nervous ahead of
  245. 9:22earnings from a very important company
  246. 9:24for the AI story, which is Micron. That
  247. 9:27is America's biggest chip maker and it's
  248. 9:30also a competitor to Samsung and SK
  249. 9:32Hynix. And when US memory stocks started
  250. 9:35going down,
  251. 9:37the same thing started to happen in
  252. 9:38Korea, except way harder. Right,
  253. 9:40remember the KOSPI is not a diversified
  254. 9:42market. It's a two-stock stock market.
  255. 9:45So, in one session, the KOSPI dropped
  256. 9:48something like 4.6%.
  257. 9:50And then a week later, Samsung and SK
  258. 9:52Hynix both went down more than 9% in
  259. 9:54just one day.
  260. 9:56And then came the day that Koreans are
  261. 9:58now calling Black Tuesday, which is
  262. 10:00where the KOSPI went down more than 10%
  263. 10:03in just a day.
  264. 10:05And that is one of the worst drops in
  265. 10:06the whole history of the Korean stock
  266. 10:09market.
  267. 10:10For context, a 10% one-day drop in the
  268. 10:13US stock market, that would be the third
  269. 10:16worst day in American history, only
  270. 10:18behind 1987 and the Great Depression.
  271. 10:22Now, in a normal market, when there's a
  272. 10:24sell-off,
  273. 10:26the drop usually ends when the seller
  274. 10:29stops selling. Make sense, right? But
  275. 10:32this one did not stop there, because
  276. 10:35when a stock market is built on borrowed
  277. 10:37money, aka leverage,
  278. 10:40nobody needs to sell. The selling
  279. 10:42happens automatically.
  280. 10:44How?
  281. 10:45Well, it's because when you buy stocks
  282. 10:47with borrowed money, and those stocks go
  283. 10:50down to a certain price level,
  284. 10:52your broker sends you a margin call,
  285. 10:54which is basically where they say, "Hey,
  286. 10:56deposit more cash by tomorrow morning,
  287. 10:58or we sell all your stocks for you."
  288. 11:00And if you don't have the money, the
  289. 11:02broker sells your shares at whatever
  290. 11:04price.
  291. 11:05Okay, they don't wait for a better price
  292. 11:07in the market. They do not care that
  293. 11:08you're down 40%. They just do it. Now,
  294. 11:11all of this forced selling pushes the
  295. 11:13stock prices down even more, which
  296. 11:16triggers more margin calls for the next
  297. 11:18group of investors who maybe got in a
  298. 11:20little earlier, which pushes the price
  299. 11:22down even more, right? Which triggers
  300. 11:25more margin calls. You get the idea.
  301. 11:27It's a doom loop.
  302. 11:29Now, under normal conditions, about 2%
  303. 11:31of Korean margin accounts get force
  304. 11:33liquidated. But during this crash, that
  305. 11:36number went higher than 10%, which is
  306. 11:38about five times the normal rate. And
  307. 11:40that is also because
  308. 11:42all of these leveraged ETFs made
  309. 11:45everything so much worse.
  310. 11:47Because if you're holding a 3x leveraged
  311. 11:50fund on
  312. 11:52a company like SK Hynix, for example,
  313. 11:54and the stock drops 10% in a day,
  314. 11:57well, you just lost 30%. Right? But it's
  315. 12:00even worse than that.
  316. 12:02Because of how these funds work, they
  317. 12:04have to rebalance every day, which means
  318. 12:07at the end of a big down day, the fund
  319. 12:10has to sell into a falling market to
  320. 12:13maintain its leverage ratio.
  321. 12:15So, retail investors were getting
  322. 12:18liquidated and the funds were force
  323. 12:21selling on top of them, right? And every
  324. 12:24sale made the next sale more and more
  325. 12:26likely.
  326. 12:28And this didn't even stay inside of
  327. 12:30Korea, because over the next two days,
  328. 12:33more than 600 billion dollars got erased
  329. 12:35from Asian markets.
  330. 12:37Japan went down more than 4%. Taiwan
  331. 12:39went down, Hong Kong, China. At one
  332. 12:43point, the only thing that stopped the
  333. 12:45Kospi from going down even more
  334. 12:48was that the market was literally closed
  335. 12:50for a national holiday.
  336. 12:52It got so bad that the president, who by
  337. 12:55the way was the same person who spent a
  338. 12:57year encouraging people to get into the
  339. 12:58stock market,
  340. 13:00they called an emergency meeting to try
  341. 13:01to stabilize the market.
  342. 13:04But the truth is
  343. 13:06is that even right now, the leverage is
  344. 13:08still there.
  345. 13:10So, that's what's happening in South
  346. 13:11Korea. But now I want to show you how
  347. 13:13all of this could end just as badly for
  348. 13:17the US stock market as well. And how
  349. 13:18this could end badly for the US is
  350. 13:20because of how much margin debt our
  351. 13:23stock market has. And here it is. This
  352. 13:26is all the borrowed money Americans are
  353. 13:29using to buy stocks measured as a
  354. 13:31percentage of the whole US economy. So,
  355. 13:34look at the little red arrows on this
  356. 13:36chart. Every single one of them marks a
  357. 13:38moment in history. For example, in June
  358. 13:411968, that was right before the market
  359. 13:44lost a third of its value. December 1972
  360. 13:48was right before the 1973 crash. August
  361. 13:521987
  362. 13:54was 2 months before Black Monday, the
  363. 13:56worst day in stock market history. Then
  364. 13:59March 2000, the exact month the dot-com
  365. 14:02bubble peaked. Then July 2007,
  366. 14:06that was months before the financial
  367. 14:08crisis. January 2018, August 2021, both
  368. 14:13followed by pretty big corrections. So,
  369. 14:16every time US margin debt went to an
  370. 14:18extreme, a crash happened almost right
  371. 14:21after, every single time.
  372. 14:24Now, look at where we are today.
  373. 14:27As of June 2026, US margin debt just hit
  374. 14:30roughly 4 and 1/2% of GDP. That is the
  375. 14:34highest level ever recorded in American
  376. 14:37history. This is higher than the dot-com
  377. 14:40bubble, higher than 2007, higher than
  378. 14:43even the 2021 meme stock everything
  379. 14:46bubble, and it's higher by a lot.
  380. 14:49This June number, by the way, was
  381. 14:50released this past week. The US
  382. 14:53basically printed the biggest margin
  383. 14:56debt reading of all time.
  384. 14:59But it gets even worse because that
  385. 15:01number is actually lower than what
  386. 15:04reality really is.
  387. 15:06And that's because the official margin
  388. 15:09data only tracks one kind of borrowing,
  389. 15:12which is traditional margin loans at
  390. 15:15brokerage accounts.
  391. 15:16What it doesn't show us
  392. 15:18are leveraged ETFs,
  393. 15:20options, portfolio margin, private
  394. 15:23credit,
  395. 15:25all the modern new ways that people take
  396. 15:28on leverage, right? Which doesn't
  397. 15:30actually show up in the official
  398. 15:32statistics, so I couldn't show you them
  399. 15:33here. So, those leveraged ETFs that blew
  400. 15:36up Korean investors,
  401. 15:38they're the same ETFs we have. They're
  402. 15:41doing the same things with hundreds of
  403. 15:43billions of dollars in them, including
  404. 15:462x funds on single stocks like Nvidia
  405. 15:48and Tesla. We have zero-day options
  406. 15:51where people gamble on what the stock
  407. 15:54market does in the next 6 hours. They're
  408. 15:56all trading at record volumes.
  409. 15:59The stock market has turned into a
  410. 16:01literal casino at this point.
  411. 16:04So, this chart actually shows the floor
  412. 16:07of how much leverage might be in the
  413. 16:08system.
  414. 16:10In reality, there's probably a lot more.
  415. 16:14Now, also think about what's actually
  416. 16:16holding up the US stock market right
  417. 16:18now.
  418. 16:19The top 10 stocks are 36% of the S&P
  419. 16:22500. And almost all of them are making
  420. 16:26the same bet. That bet is on AI.
  421. 16:30Nvidia sells the chips, Microsoft, Meta,
  422. 16:33and Google buy the chips, Micron
  423. 16:36supplies the memory,
  424. 16:38and they pass all this money back and
  425. 16:40forth to each other, which is
  426. 16:41artificially boosting their earnings,
  427. 16:43which makes this whole growth story
  428. 16:46believable.
  429. 16:47But, what's really propping up the whole
  430. 16:50stock market right now is AI spending.
  431. 16:53It's companies like Microsoft, Google,
  432. 16:55Amazon, and Meta spending 3/4 of a
  433. 16:59trillion dollars a year,
  434. 17:01which happens to be the revenue of
  435. 17:03Nvidia, of Micron, and of the whole AI
  436. 17:06trade, right? One company's spending is
  437. 17:10another company's earnings. It's kind of
  438. 17:12a loop. Right? Jim Chanos, the guy who
  439. 17:14called Enron, said that the returns on
  440. 17:16all this spending are already going
  441. 17:18down.
  442. 17:19>> But basically, it's gone from as a group
  443. 17:2240%
  444. 17:24a year and a half ago to about 20%
  445. 17:26today.
  446. 17:27And and if the spend keeps up at this
  447. 17:31kind of rate, it's going to be moving
  448. 17:33toward 10%. And then you're going to
  449. 17:35have real issues.
  450. 17:36>> A year and a half ago, hyperscalers were
  451. 17:38earning about 40 cents of operating
  452. 17:40income on every incremental dollar they
  453. 17:43invested.
  454. 17:44Today, it's about 20 cents.
  455. 17:46And it's going towards 10.
  456. 17:48At some point, if not already,
  457. 17:51some CEO of a trillion-dollar company
  458. 17:54will ask,
  459. 17:55"Does it make sense for our company
  460. 17:58to pay this much for AI if we're only
  461. 18:01making a couple billion dollars on it?"
  462. 18:04For the US, right, it's OpenAI and
  463. 18:06Anthropic. They're the AI story, and
  464. 18:09they still lose tens of billions of
  465. 18:12dollars a year.
  466. 18:13But they make up 70 to 80%
  467. 18:17of all the AI compute demand.
  468. 18:20So, the whole pyramid structure kind of
  469. 18:23looks like this.
  470. 18:24Unprofitable AI companies justify
  471. 18:27hyperscaler spending, right? Justifies
  472. 18:30chip earnings, justifies the stock
  473. 18:33market, which is being bought with
  474. 18:35record amounts of borrowed money. Right?
  475. 18:38That's the whole
  476. 18:39structure.
  477. 18:40And where it starts to look like this
  478. 18:42could be the beginning of the end,
  479. 18:45is companies are now flooding the market
  480. 18:46with new IPOs.
  481. 18:48In 2026,
  482. 18:50IPOs have come to market at over 12% of
  483. 18:53GDP in post-IPO market cap.
  484. 18:57Now, the previous record was the peak of
  485. 18:59the dot-com bubble at just 5%.
  486. 19:03We're at more than double the 1999
  487. 19:06level.
  488. 19:07Now, historically, when companies create
  489. 19:10this many IPOs,
  490. 19:12That usually means insiders think that
  491. 19:15prices are as good as they're ever going
  492. 19:17to get for a really long time. Which is
  493. 19:21why they're selling to us, to the retail
  494. 19:24people.
  495. 19:25So then the question is, well, is there
  496. 19:27some kind of a warning sign that we can
  497. 19:29watch for to know when the bubble might
  498. 19:32really pop? And as it turns out, there
  499. 19:34is one number we can look at right now,
  500. 19:36and that number is capital expenditures
  501. 19:39of specifically four companies,
  502. 19:42Microsoft, Google, Amazon, and Meta.
  503. 19:44That is it. That is the one number
  504. 19:47that's holding up the whole global stock
  505. 19:49market. Now, think about it like this.
  506. 19:52The whole Korean stock market crashed
  507. 19:55because investors got nervous that
  508. 19:56memory spending might slow down.
  509. 19:59Not that it did slow down, just that it
  510. 20:01might. Now, imagine what happens when
  511. 20:04one of these four major companies, on an
  512. 20:06earnings call, actually says, "We're
  513. 20:09reducing our AI capital expenditures."
  514. 20:11Right? That that would be really bad.
  515. 20:13Because the only reason these companies
  516. 20:16have been spending this insane amount of
  517. 20:18money
  518. 20:19is only because the stock market keeps
  519. 20:22rewarding them for it. Every time their
  520. 20:24CapEx spending goes up,
  521. 20:26their stock goes up as well.
  522. 20:29And that's starting to change. Right?
  523. 20:30They're saying that the first
  524. 20:31hyperscaler to cut back on AI spending
  525. 20:35will be rewarded by the market because
  526. 20:38investors are getting tired of just
  527. 20:41investing money with no returns on AI
  528. 20:45income. Right? And when saying that
  529. 20:47they're lowering their spending and the
  530. 20:49market is rewarding them for it, instead
  531. 20:51of punishing,
  532. 20:52like that is when this unwind could
  533. 20:54start to happen.
  534. 20:56Now, this has actually happened before.
  535. 20:58In the year 2000, Coca-Cola needed
  536. 21:0110,000 routers from Cisco.
  537. 21:03By 2001, they needed only 2,000.
  538. 21:07They just cut back on their orders and
  539. 21:09because of that, Cisco's earnings
  540. 21:11collapsed and the NASDAQ went down 78%.
  541. 21:16That is what a capex cut does to the
  542. 21:18suppliers. Now, if Microsoft cut AI
  543. 21:22spending by 20% for example,
  544. 21:24Microsoft might be fine, but Nvidia's
  545. 21:27revenue, Microsoft's revenue, Samsung
  546. 21:29and SK Hynix's revenue, right? It's not
  547. 21:32their spending cut, but that would be
  548. 21:35their earnings collapse.
  549. 21:37Jim Chanos thinks that we could get that
  550. 21:39moment soon. His words are sometime in
  551. 21:43late 2026 or 2027. We're going to get a
  552. 21:47>> point in late '26, '27 where, you know,
  553. 21:51people are going to start putting pencil
  554. 21:53to paper besides us and say, "Wait a
  555. 21:55minute. Does this next trillion dollars
  556. 21:57make sense?" Make sense if you're only
  557. 21:59going to earn 50 billion on it?
  558. 22:01We could earn that on treasuries.
  559. 22:04>> Maybe it's when Shrek 5 comes out. I
  560. 22:05don't know. Every Shrek movie seems to
  561. 22:08coincide with the market reaching a
  562. 22:09peak. Shrek 1 for example in May 2001,
  563. 22:12that was the top of the dot-com bubble.
  564. 22:14Shrek 2 May 2004, post-war correction.
  565. 22:17Shrek 3 May 2007, pre-subprime crisis.
  566. 22:21Shrek 4 May 2010, flash crash. Shrek 5
  567. 22:25scheduled to be released June 2027.
  568. 22:27Obviously, that's a joke and it's my way
  569. 22:28of saying no one knows what's going to
  570. 22:30happen and the dates don't perfectly
  571. 22:31line up, but it could happen and it
  572. 22:33would be so ironic because it kind of
  573. 22:35lines up with what Jim Chanos is saying
  574. 22:37about when the bubble might pop. Now,
  575. 22:40either way though, there's two scenarios
  576. 22:43that could happen. Scenario number one
  577. 22:46is
  578. 22:46Korea stays contained to just Korea.
  579. 22:50Memory prices stay the same,
  580. 22:52hyperscalers keep spending through 2027,
  581. 22:55and the KOSPI eventually recovers. Some
  582. 22:58analysts genuinely believe that the AI
  583. 23:00AI has another 6 to 12 months of growth
  584. 23:02and that is very possible.
  585. 23:04Scenario number two is Korea was just a
  586. 23:07warning. All right, it is the first
  587. 23:09domino.
  588. 23:10And the moment one hyperscaler cuts back
  589. 23:13on CapEx, they cut back on spending,
  590. 23:16that's when this leveraged US market
  591. 23:19that is the most leveraged in US
  592. 23:20history, that's when we'll get to find
  593. 23:23out what happens when a 4 and 1/2% of
  594. 23:26GDP in margin debt starts to unwind.
  595. 23:29And we kind of just got a preview of
  596. 23:30what that could look like because Korea
  597. 23:32just showed us, which is margin calls,
  598. 23:35it is forced selling and the doom loop
  599. 23:37and government intervention. For now,
  600. 23:40the analysts in the market are telling
  601. 23:42us that they have the utmost confidence
  602. 23:44that AI will continue to grow and that
  603. 23:46this is
  604. 23:47definitely not a bubble.
  605. 23:49But there was a tweet I saw that sort of
  606. 23:51compared all this to April 1912.
  607. 23:54As reports were coming in that the
  608. 23:55Titanic was in trouble,
  609. 23:57the vice president of the company that
  610. 23:59owned it said, "We have absolute
  611. 24:00confidence in the Titanic. We believe
  612. 24:02the boat is unsinkable."
  613. 24:04He said that after it hit the iceberg
  614. 24:06and it was already sinking. And that's
  615. 24:08how these things tend to go. 14 million
  616. 24:11Korean investors also had absolute
  617. 24:12confidence that 3 weeks ago the market
  618. 24:15would continue going up.
  619. 24:17Now, this is not financial advice and
  620. 24:19I'm not telling anyone to not invest
  621. 24:20their money,
  622. 24:21but I want you to know that this is
  623. 24:23what's happening and to be really
  624. 24:25careful with leverage and debt,
  625. 24:27especially at a time like this. Now, in
  626. 24:30the future, I think AI will probably
  627. 24:32change our lives for the better and
  628. 24:34there will be companies worth tens of
  629. 24:36trillions of dollars, right? But for
  630. 24:39now, investors are paying
  631. 24:42future prices in the present time, as
  632. 24:45though these companies have already
  633. 24:47accomplished all the things they
  634. 24:49promised us.
  635. 24:51Now, if you'd like to see more of my
  636. 24:52thoughts about the economy as well as
  637. 24:53updates on my own investments from time
  638. 24:55to time, those videos live in the
  639. 24:56premium member section where I post a
  640. 24:58day early and I post my extra thoughts.
  641. 24:59If that is valuable to you, the link is
  642. 25:01down below. I'd love to get to know your
  643. 25:02thoughts. As always, I hope you have a
  644. 25:04wonderful rest of your day. Smash the
  645. 25:05like button. Subscribe if you haven't
  646. 25:07already. I'll see you next time. Take
  647. 25:08care.

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