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Goldman Sachs Investment Chief: How to WIN the AI trade in 2027 — Transcript

by Phil Rosen · 5,719 words · 913 segments · language en · Watch on YouTube

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  1. 0:00Alexandra, you wrote recently we're
  2. 0:01entering the fourth stage of the AI
  3. 0:03trade. I don't really understand what
  4. 0:05that means. Can you help me understand
  5. 0:06this?
  6. 0:07>> Yeah, of course. Um there's obviously a
  7. 0:09lot of headlines right now as it relates
  8. 0:12to AI.
  9. 0:13And when we talk about the stages of AI,
  10. 0:16what we're really referencing is that
  11. 0:18we're in the debt-funded stage of the AI
  12. 0:20cycle.
  13. 0:22And that is putting a lot of pressure on
  14. 0:24the market because
  15. 0:27investors are focused on how much
  16. 0:30current supply is coming to the
  17. 0:31investment grade and high-yield market,
  18. 0:34not only now, but also on the forward.
  19. 0:37And this is really important in the
  20. 0:38context of having a higher interest rate
  21. 0:41from the Federal Reserve in the front
  22. 0:43end of the curve because that's
  23. 0:45technically your hurdle rate.
  24. 0:47And so are you being compensated enough
  25. 0:49for the risk that you're taking on in
  26. 0:51credit markets,
  27. 0:52which obviously you don't participate in
  28. 0:55the forward growth of a company because
  29. 0:57it's a capped return in credit?
  30. 1:00Uh so you have to be really careful
  31. 1:01about what you're underwriting. So you
  32. 1:03have to pay attention to the cash flows
  33. 1:05of the security
  34. 1:07and the counterparties that you're
  35. 1:08exposed to. So last week there was a lot
  36. 1:11of headlines, or maybe not last week,
  37. 1:12but a few weeks ago headlines on some of
  38. 1:15the neo cloud businesses.
  39. 1:17And some of the questions are, do you
  40. 1:19have counterparty risk? Is there forward
  41. 1:21default risk? Uh and that in our minds
  42. 1:24is actually less of an AI trade
  43. 1:27question, but actually more of a
  44. 1:28financing trade because they are
  45. 1:31currently funding themselves at a higher
  46. 1:33rate than perhaps that they've written
  47. 1:35their forward contracts on.
  48. 1:37>> A lot of those stocks are down I think
  49. 1:38like 35, 40% over the last few weeks.
  50. 1:41That has been a pretty scary corner of
  51. 1:43the market I'd say.
  52. 1:45Can you explain what you see as the
  53. 1:47first three stages before we keep going
  54. 1:49on the financing? The first three stages
  55. 1:51of the AI trade, if this one's the debt
  56. 1:52financing one.
  57. 1:53>> Mhm.
  58. 1:54Yeah, so whether it was, you know, being
  59. 1:56funded by chips at or the balance sheet,
  60. 1:59now it's you no longer have the cash
  61. 2:02flow that you're spending your operating
  62. 2:03cash flow, you're actually going to the
  63. 2:05market and trying to fundraise there.
  64. 2:09>> Okay.
  65. 2:10Um,
  66. 2:10is there anything that stands out to you
  67. 2:12as a big red flag or a concern about
  68. 2:15some of the debt financing we're seeing
  69. 2:18with the hyperscalers, with some of
  70. 2:19these other AI businesses?
  71. 2:21>> So, for the most part, these are really
  72. 2:22high-quality credits.
  73. 2:24Uh, that being said, you know,
  74. 2:27there are you know, issuers that are not
  75. 2:29necessarily the same in credit quality
  76. 2:32as others. Uh, their balance sheets
  77. 2:35could be more stressed with higher
  78. 2:37levels of interest rates. Um, there
  79. 2:39could be issues where you're
  80. 2:42underwriting someone who might have some
  81. 2:44bottleneck issues in terms of energy
  82. 2:47constraint.
  83. 2:48Um,
  84. 2:49but for the most part, you know, the big
  85. 2:52Mag 7 names, the big hyperscalers are
  86. 2:55very high-quality credits in the
  87. 2:57marketplace. It's a little bit in my
  88. 2:59mind of indigestion.
  89. 3:01There's a lot of supply coming.
  90. 3:03>> Can you explain that a bit more? What
  91. 3:04what do you mean by indigestion?
  92. 3:06>> So, you know, the credit markets have to
  93. 3:08absorb all of this supply with all the
  94. 3:11the marginal hyperscalers saying, "Hey,
  95. 3:13I need to go raise X billions of
  96. 3:14dollars." We have another very large
  97. 3:16name coming to market this week.
  98. 3:19People have to be able to lend to that.
  99. 3:21And so, if you're the first person
  100. 3:24coming to market, perhaps you'll do okay
  101. 3:26because there's no been nobody before
  102. 3:28you. You get to the middle part or the
  103. 3:30middle segment of issuance, everyone's
  104. 3:32like, "Okay, I've got I've got a lot of
  105. 3:34AI debt um, of all different varieties
  106. 3:37across the capital structure,
  107. 3:39and I know more is coming."
  108. 3:41And that's why you start to get a little
  109. 3:43bit of the indigestion. Okay, well, if
  110. 3:44more supply is coming, then I should
  111. 3:46keep continuing pricing a higher and
  112. 3:48higher coupon on the go forward.
  113. 3:51>> What do you make of the conversation
  114. 3:53around the financing being a sign of a
  115. 3:56bubble or the financing
  116. 3:59drawing comparisons to how things were
  117. 4:02at the height of the dot-com bubble.
  118. 4:03>> Yeah, so, you know, I I've been pretty
  119. 4:06vocal about this. I think that the wrong
  120. 4:07question is being asked. Um, you know,
  121. 4:10focusing on whether or not this is a
  122. 4:12bubble is just people's anxiety as it
  123. 4:14relates to a new technology, a lot of
  124. 4:17speed, and a lot of issuance at the same
  125. 4:19time.
  126. 4:20Um
  127. 4:22you know, the real question is is there
  128. 4:24demand?
  129. 4:25And effectively, if you look at 2027,
  130. 4:27there's like a sold out sign on top of
  131. 4:29AI, right? So, there's a lot of demand
  132. 4:32for compute, and actually there's a
  133. 4:34little bit of a supply constraint. Um
  134. 4:37and
  135. 4:39you know, every every you know, marginal
  136. 4:41thing that you could look at to see if
  137. 4:43there's, you know, an issue as it
  138. 4:45relates to demand. So, whether or not
  139. 4:46the GPUs
  140. 4:48um are keeping their, you know, their
  141. 4:50value, are they starting to depreciate
  142. 4:52faster? And if anything, their lives are
  143. 4:53extending.
  144. 4:55Uh so, you know, every way we look at
  145. 4:57this, the fundamentals are pretty
  146. 4:58robust. Now, here's the thing about AI.
  147. 5:03It's a confidence game, too. There's a
  148. 5:05lot of leverage, and if you start to see
  149. 5:07confidence come into play, then very
  150. 5:10quickly you could have sort of a
  151. 5:11self-fulfilling prophecy on there's a
  152. 5:14lot of people who own the same debt.
  153. 5:16There's a lot of leverage in the market,
  154. 5:18confidence wavers, and then you can go
  155. 5:20into a little bit of a spiral with
  156. 5:22fundamentals. We don't think that that's
  157. 5:24going to happen now. We did expect some
  158. 5:26levels of indigestion just around
  159. 5:28midterms and given how high valuations
  160. 5:30had gotten and some of the pressure
  161. 5:31you've seen on interest rates given
  162. 5:33what's been happening in the Middle East
  163. 5:35and with the Fed. Uh so, we took it as
  164. 5:37an opportunity to selectively
  165. 5:40you know, put on some hedges in the
  166. 5:42portfolio, but our longer-term outlook
  167. 5:45is still quite positive on US equities.
  168. 5:47>> So you mentioned the GPUs and I think
  169. 5:50one of the concerns I'm hearing more and
  170. 5:52more about is that these companies are
  171. 5:54borrowing
  172. 5:55a gazillion dollars against technology
  173. 5:57that could essentially become obsolete
  174. 5:59much faster than a lot of investors or
  175. 6:02or businesses assume. Can you talk about
  176. 6:05your thoughts on that and whether any of
  177. 6:07that is worrying you right now?
  178. 6:10>> I mean there's always some element of
  179. 6:12being worried about that because there's
  180. 6:14an a an unknown quantity, but that being
  181. 6:17said, all of the different ways that
  182. 6:19we're using the technology or we see our
  183. 6:21clients using it show that there's
  184. 6:23tremendous power there. Um so it's
  185. 6:26you know, some people want to throw the
  186. 6:28baby out with the bathwater. We prefer
  187. 6:29to spend our time picking the winners
  188. 6:31and losers that we think are going to
  189. 6:32exist on the forward.
  190. 6:34>> How would you go through picking winners
  191. 6:36and losers? Like if you had to come up
  192. 6:38with a checklist of parameters you're
  193. 6:40looking for to make investment ideas on
  194. 6:42this trade, how would you start that?
  195. 6:45>> So you want to make sure it depends on
  196. 6:47again on the capital structure how
  197. 6:48you're investing. So are you investing
  198. 6:50in equities or you investing in debt or
  199. 6:52securitized debt?
  200. 6:55We are very thoughtful around, you know,
  201. 6:58is this a good balance sheet and
  202. 7:00management team?
  203. 7:02Um are they, you know, funding in they
  204. 7:04have multiple
  205. 7:06venues for funding or do they rely on
  206. 7:08one source?
  207. 7:09Does the business have concentrated
  208. 7:12counterparties or multiple
  209. 7:13counterparties?
  210. 7:15Uh are they embedding themselves in the
  211. 7:18entirety of the ecosystem or just a
  212. 7:19small segment of the ecosystem?
  213. 7:22That's why we're when people are talking
  214. 7:24about the AI bubble or the AI trade,
  215. 7:26it's about so many things. It's not just
  216. 7:29one
  217. 7:31factor anymore. Uh and we think you have
  218. 7:33to go beyond that, really push the
  219. 7:34envelope on understanding what you're
  220. 7:36investing in.
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  245. 8:37So, just to clarify, if a company is
  246. 8:38embedding itself in a bunch of different
  247. 8:41parts of the AI ecosystem, do you see
  248. 8:43that as a good thing or a bad thing?
  249. 8:44>> Well, it it depends. I mean, these are
  250. 8:46large generalized questions.
  251. 8:48Um but in most cases, it's helpful if
  252. 8:51you don't aren't just reliant on one
  253. 8:53small segment of the market or one
  254. 8:55counterparty. So, if you're, you know,
  255. 8:57finding your way across different
  256. 8:59business models, then that's obviously a
  257. 9:01much broader customer base than just one
  258. 9:03area. Equally, are you well diversified
  259. 9:06globally? Um you know, you could say
  260. 9:09that there's legislation risk in some
  261. 9:11states. There's
  262. 9:13um some states that are or more focused
  263. 9:15on being business-friendly than others.
  264. 9:17And so, it's just a whole part of, you
  265. 9:18know, how you underwrite the credit, how
  266. 9:20you underwrite the narrative in the
  267. 9:21equity side.
  268. 9:23>> Are there [snorts] any um early warning
  269. 9:25signs you are seeing coming out of
  270. 9:27credit markets that maybe suggest
  271. 9:30investors are becoming less willing to
  272. 9:31finance
  273. 9:33some of this AI build-out?
  274. 9:34>> Yeah, I mean, So can look at CDS or
  275. 9:36credit default swaps on some of these
  276. 9:37names. They're pretty distressed levels.
  277. 9:40Um you know, a lot of people are
  278. 9:42pointing towards high yield. The triple
  279. 9:43C market is trading much wider than it
  280. 9:46was just even a few months ago, but some
  281. 9:49of those names have nothing to do with
  282. 9:51AI. Uh and they were you know, already
  283. 9:54showing signs of stress prior to this.
  284. 9:56This more of a you know, individual
  285. 9:57fundamental story.
  286. 9:59Um
  287. 10:00But yeah, I think holistically the
  288. 10:02market is just pricing a bit wider.
  289. 10:04But I would say that the credit are
  290. 10:06effectively separating from being one
  291. 10:09type of market into multiple segments of
  292. 10:11a market. I'll tell you what I mean by
  293. 10:13that.
  294. 10:14There's the you know, the financials,
  295. 10:16the old blue chip names.
  296. 10:18Those those price and trade differently.
  297. 10:20Then you have all this AI debt coming to
  298. 10:22the market. And then you have a lot of
  299. 10:24the you know, liability management
  300. 10:26exercises or default type names that are
  301. 10:29being engineered rather than um being
  302. 10:31handled on recovery.
  303. 10:34>> Okay. So Alexandra, I have a a note here
  304. 10:38which is from your notes. I'm going to
  305. 10:39read this back to you in your words.
  306. 10:42The best hedge against AI is more AI.
  307. 10:45Can you put that in context for me and
  308. 10:46explain what you meant when you wrote
  309. 10:48that?
  310. 10:48>> Yes. So
  311. 10:50context is important.
  312. 10:52As it relates to the hedge on AI being
  313. 10:55more AI, some of these names that are
  314. 10:58going to IPO and come to the market,
  315. 11:01they are what is going to disrupt a lot
  316. 11:03of the other businesses.
  317. 11:05So it depends if you're looking at AI as
  318. 11:08a {quote} risk in terms of a bubble as
  319. 11:11you mentioned or AI as a disrupting
  320. 11:14factor.
  321. 11:16And so if you think about it being a
  322. 11:17disrupting factor, you want to own the
  323. 11:19big disruptors.
  324. 11:21Those are the ones coming to the market.
  325. 11:24>> That would be something like a open AI
  326. 11:26or Anthropic. Am I
  327. 11:28>> For example.
  328. 11:28>> For example. Got it. Okay.
  329. 11:31Um
  330. 11:32if I am sitting here as a individual
  331. 11:35investor,
  332. 11:36how should I be thinking about picking
  333. 11:39my opportunities for 2027 if I'm
  334. 11:42thinking specifically about equity
  335. 11:43markets?
  336. 11:46>> So, we're we're broadly optimistic on
  337. 11:49the market. A couple of things though.
  338. 11:51Um
  339. 11:52in aggregate, the market is healthy.
  340. 11:55It's narrow underneath. A lot of the
  341. 11:57story is coming from AI and AI capex
  342. 12:00spend.
  343. 12:01Anything related to the macro or higher
  344. 12:05interest rates is under pressure. That's
  345. 12:08the consumer cyclicals, you know, all
  346. 12:10that the housing market, things that you
  347. 12:12would expect.
  348. 12:14There are some segments of the market
  349. 12:16though that are beneficiaries of AI
  350. 12:18trading pretty cheaply relative, but you
  351. 12:21also have a higher inflation hedge in
  352. 12:25them. Uh and you also have the potential
  353. 12:28for them to be very large beneficiaries
  354. 12:30of AI, and they've been big enough to
  355. 12:33spend aggressively
  356. 12:36so that they can be large beneficiaries.
  357. 12:39Think of the pharmas. Think of
  358. 12:40utilities, those types of sectors. Um
  359. 12:44so, those are some of the spaces on in
  360. 12:452027 that we're interested and and
  361. 12:48looking at more deeply.
  362. 12:50>> So, you you travel a lot, you speak to
  363. 12:51clients.
  364. 12:53What is the general vibe when you're
  365. 12:56meeting people that you work with at
  366. 12:58Goldman? Are they more optimistic about
  367. 13:00AI? Are they nervous? Do they think the
  368. 13:03Terminator's coming? Like, what what's
  369. 13:04your read on what the Goldman client
  370. 13:07base is feeling right now?
  371. 13:08>> I think people are actually quite
  372. 13:10rational.
  373. 13:11They're very optimistic about the
  374. 13:13technology and the capabilities of the
  375. 13:15technology.
  376. 13:17There are some risks. Every day in the
  377. 13:18paper, there's something new being
  378. 13:19talked about. I think one of the biggest
  379. 13:21ones that we paid attention to are some
  380. 13:24of the cybersecurity risks. Um
  381. 13:27but that being said, I think globally
  382. 13:30people are optimistic. They just want to
  383. 13:31make sure that they own it, they own it
  384. 13:33in the right place,
  385. 13:35and that they don't have the same
  386. 13:36exposure six different parts of their
  387. 13:38portfolio without really understanding
  388. 13:40that.
  389. 13:42>> So, I think one of the big stats people
  390. 13:44point to is that the 10 biggest stocks
  391. 13:46are 40% of the S&P 500 now, and they're
  392. 13:50pretty much all AI names. So, everyone's
  393. 13:52retirement account, if you just bought
  394. 13:54the index, you're very overweight AI. Is
  395. 13:57that something you see as
  396. 14:00a risk people should be positioning
  397. 14:01around?
  398. 14:02>> I I think anytime there's a lot of
  399. 14:03concentration, you have to be thoughtful
  400. 14:05about it.
  401. 14:06That being said, it's actually been a
  402. 14:08huge benefit to those portfolios as of
  403. 14:10late, right? Because you have multiple
  404. 14:12stocks that are actually in technical
  405. 14:14recession right now, down 20% plus from
  406. 14:16their highs, but the index is still
  407. 14:19holding up pretty well, and that's
  408. 14:20because there's a few big names holding
  409. 14:23up the index. So, it that equally that
  410. 14:25dynamic could other way. So, you just
  411. 14:28have to understand and know how the
  412. 14:30index is constructed, and you know, what
  413. 14:33you're you're exposed to as a as a
  414. 14:35consequence of that. But, people want to
  415. 14:37look at it in negative light, it's
  416. 14:38actually been quite positive for them
  417. 14:39this year.
  418. 14:40>> It's worked pretty well the last few
  419. 14:42years. I mean, being overweight AI,
  420. 14:45overweight technology has been a
  421. 14:47massively winning bet.
  422. 14:49What do you make of the idea, and this
  423. 14:52is one that I've talked to a lot of
  424. 14:53people about, it's pretty divisive on as
  425. 14:56far as who who falls on what side of
  426. 14:57this?
  427. 14:59AI can be the best technology we've ever
  428. 15:01seen, but it still ends up as a bad
  429. 15:03investment in your portfolio.
  430. 15:05What do you think?
  431. 15:06>> I mean, that is possible. That happens
  432. 15:08with lots of different things.
  433. 15:10Uh again, it goes back to you have to
  434. 15:12understand the company that you're
  435. 15:13investing in.
  436. 15:15You have to understand what part of the
  437. 15:16company that you're investing in,
  438. 15:18meaning what are you Do you own it in
  439. 15:19equity? Do you own it in debt?
  440. 15:21What their exposures are to the AI cycle
  441. 15:25or just the cycle in general, right?
  442. 15:27There's AI and then there's also just
  443. 15:28the broader cycle.
  444. 15:30Um and so
  445. 15:32it's possible. Yeah, but I think you
  446. 15:35just have to you have to know what
  447. 15:36you're investing in. This is no longer
  448. 15:37that beta market of like everything goes
  449. 15:40up to the right, just you know,
  450. 15:42this is great. The easy money has been
  451. 15:44made.
  452. 15:46It's it's like really time to pay
  453. 15:47attention as an investor.
  454. 15:50>> So, isn't other way to say that this is
  455. 15:52becoming increasingly a stock picker's
  456. 15:54market?
  457. 15:55>> Uh it that's one way you can say it,
  458. 15:57yeah. Um but it's also about you know,
  459. 16:01again to your point on do I just buy the
  460. 16:03index? Do I buy active management? Which
  461. 16:05parts of the market are worth paying for
  462. 16:07active management? Uh so yes, I mean I
  463. 16:10would say that and the market has shown
  464. 16:12you that this year.
  465. 16:14>> One quick note everyone, YouTube is
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  472. 16:27it. Now let's get back to the episode.
  473. 16:30If we zoom out a bit beyond AI
  474. 16:34and you look at the macro backdrop and
  475. 16:36the economy, my read on it is that there
  476. 16:39really isn't much happening outside of
  477. 16:41AI as far as
  478. 16:43uh let's say things propping up the
  479. 16:45economy. It's almost entirely AI and
  480. 16:48some of the CapEx commitments over the
  481. 16:49next couple years.
  482. 16:51Do you agree with my assessment? One, uh
  483. 16:53but two,
  484. 16:54where else are you seeing strength in
  485. 16:56the macro and economic backdrop?
  486. 16:59>> So, I'd say it's it's been AI and
  487. 17:01fiscal, right? There's been a huge
  488. 17:03fiscal thrust to the market.
  489. 17:05Uh outside of the US, there's equally
  490. 17:08opportunity.
  491. 17:10Uh I would say on the cyclical side,
  492. 17:12we've been focused on some of the
  493. 17:14financials or banks within Europe.
  494. 17:17Uh even within the US that's, you know,
  495. 17:19meaningful beneficiary of, yes, the AI
  496. 17:22trade, but just broader,
  497. 17:24um, business activity and sentiment. So,
  498. 17:27there's more than, you know, just one
  499. 17:30trade in the market. You just have to be
  500. 17:32able to to find it and then and locate
  501. 17:34which market you want to to participate
  502. 17:36in.
  503. 17:37>> European financials, can you tell me
  504. 17:39more about that?
  505. 17:40>> Yeah, so, you know, when you look at
  506. 17:42Europe, by the way, Europe has actually
  507. 17:44been quite resilient. Um, all else
  508. 17:47equal, you'd say, "Okay, oil's at $100,
  509. 17:50they're raising rates, you know,
  510. 17:52currently seeing some fiscal pressure,
  511. 17:54but Europe has continued to do
  512. 17:57reasonably well,
  513. 17:59um,
  514. 17:59and there's segments of that market
  515. 18:02which were trading
  516. 18:03at decent multiples that are, you know,
  517. 18:06beneficiaries of the rate regime, and,
  518. 18:09um, you know, so we we try to find our
  519. 18:11value patches not just in the US, but
  520. 18:13all over the world.
  521. 18:15>> So, I I know one of the other, uh,
  522. 18:18opportunities you're looking at is
  523. 18:19emerging markets. Can you tell me about
  524. 18:21that?
  525. 18:22>> Obviously, emerging markets are closely
  526. 18:23linked to the AI trade, um, but they're
  527. 18:25also linked to commodities and the
  528. 18:28resource constraint. So, whether you're
  529. 18:30in LatAm or you're in, you know, Asia,
  530. 18:35there's plenty of different
  531. 18:36opportunities across the AI ecosystem or
  532. 18:38broader the commodity landscape that we
  533. 18:40think you can participate in. Some of
  534. 18:43it, as we've seen in the headlines,
  535. 18:44there's been a lot of, you know,
  536. 18:46exuberance, new money buyers, leverage
  537. 18:49in a marketplace. So, you've seen some
  538. 18:51more wild swings up and down, but on
  539. 18:53those down days, there's plenty of
  540. 18:55opportunities to start putting your toes
  541. 18:57into the market and participating.
  542. 19:00>> So, Korea has been in the headlines a
  543. 19:02lot last few years, um,
  544. 19:05and I I've said this a bunch publicly,
  545. 19:08uh, I own this ETF called EWY, South
  546. 19:11Korea ETF, mostly SK Hynix and Samsung.
  547. 19:15It's gotten obliterated last month or
  548. 19:17so. That's not been fun, but it's up a
  549. 19:19lot still over the last couple of years,
  550. 19:21which is great news. Do you still see
  551. 19:23Korea as an opportunity for, let's say,
  552. 19:25the year ahead?
  553. 19:26>> I do.
  554. 19:27I do. And again, when you see those, I
  555. 19:30guess you referred to it as obliterated,
  556. 19:33those days, those weeks, you know, they
  557. 19:35do give you an opportunity to come in in
  558. 19:37a more as a more rational buyer.
  559. 19:40Uh but you do have to pay attention to,
  560. 19:42as we have everywhere, the market
  561. 19:44structure is changing, the composition
  562. 19:46of the buyers in the markets are
  563. 19:47changing. And like whenever there's
  564. 19:49leverage and newer type of buyers,
  565. 19:51you're going to see swings like that.
  566. 19:53>> I mean, I saw so many headlines about
  567. 19:56South Korean investors selling their
  568. 19:59possessions to buy more stocks over the
  569. 20:01last few months.
  570. 20:02That seems like a top signal if there
  571. 20:04ever would be one. Um what is it
  572. 20:06specifically about South Korea you think
  573. 20:09looks compelling? And and what is also
  574. 20:11market structure changing? What does
  575. 20:12that mean?
  576. 20:13>> Uh so, I'll answer your last question
  577. 20:15first. The market structure changing is
  578. 20:17what I was referring to earlier, which
  579. 20:18is when you have leverage and you have,
  580. 20:20you know, newer retail buyers, to your
  581. 20:22point, people who, you know, don't have
  582. 20:24the institutional knowledge or the same
  583. 20:26risk framework. That that's something
  584. 20:29that you have to be careful with. Um not
  585. 20:31always, but it's something that, you
  586. 20:34know, means that the market can move
  587. 20:36quickly. Um and sentiment can change
  588. 20:39rapidly. The other element is, yeah, I
  589. 20:42think that there's still lots of
  590. 20:43opportunity. They're a very important
  591. 20:45part of the AI cycle. So, if you are a
  592. 20:47believer in the AI cycle, which we are,
  593. 20:50then, um you know, it's it's a good
  594. 20:52market to be part of.
  595. 20:54>> Okay, I I want to ask you about Japan,
  596. 20:57cuz this was also something you noted.
  597. 20:59This is still something you see as an
  598. 21:01opportunity, right?
  599. 21:02>> Yeah, I mean, if you if you ask people
  600. 21:05in the investment world, like where have
  601. 21:07you been in the last 6 months? Almost
  602. 21:10every person will tell you they've been
  603. 21:11on a trip to Japan.
  604. 21:13There is so much opportunity, so much
  605. 21:15happening on the ground. I mean, as a
  606. 21:18markets person, just given what's
  607. 21:20happened with rates there and the
  608. 21:21currency, obviously, there's a lot of
  609. 21:23volume.
  610. 21:25But even on the private equity side,
  611. 21:28corporations [clears throat] focused on
  612. 21:29their balance sheet and you know,
  613. 21:30releasing some of the potential off
  614. 21:32their balance sheet.
  615. 21:34It's structurally actually a market that
  616. 21:37has cyclicality to it, but it's a
  617. 21:39different version of cyclicality than
  618. 21:41just the AI trade, if you will. And so,
  619. 21:43it brings a lot of diversification to
  620. 21:46the portfolio, as well. Um so, yeah,
  621. 21:48there's a lot There's a lot of
  622. 21:49opportunity there.
  623. 21:51>> And is this something as simple,
  624. 21:53you know, for a guy like myself, not
  625. 21:55really an institutional guy, can I just
  626. 21:57go buy a Japanese index fund? Is that
  627. 21:59like the easiest way and maybe a logical
  628. 22:02way to play it?
  629. 22:02>> You can. You can buy an index fund in
  630. 22:04Japan.
  631. 22:05>> Hm, okay. Um and if I'm not mistaken,
  632. 22:08Japan is not super exposed to AI, right?
  633. 22:11>> I mean, it is, but a a large part of the
  634. 22:14cyclicality of the market, they've got
  635. 22:15autos and financials, and so, you know,
  636. 22:18if you're looking for an index that has
  637. 22:20a bit more diversification, then it's a
  638. 22:22market that you can go into.
  639. 22:24>> That makes sense. Um if we think about
  640. 22:27opportunities outside of AI, what stands
  641. 22:29out to you? Something non-AI related and
  642. 22:32that we can still get exposure to as US
  643. 22:35investors.
  644. 22:36>> So, I I'll just come back to the couple
  645. 22:38of sectors that I mentioned earlier. I
  646. 22:39think there are, you know, if you pull
  647. 22:42up the roster of sectors this year and
  648. 22:44how they've performed, there's a couple
  649. 22:46that are, you know, basically flatlined
  650. 22:48or not done well because of either
  651. 22:50what's happened with rates,
  652. 22:52um
  653. 22:53or because, you know, there was a
  654. 22:55regulatory overhang. Those have kind of
  655. 22:58come and gone. It's been priced into the
  656. 22:59market, and we think there's some some
  657. 23:01potential on the forward with those.
  658. 23:03>> Which would be
  659. 23:04>> Those would be the utilities in the
  660. 23:05pharma space.
  661. 23:07>> Okay. Um and is that What's the thesis
  662. 23:10driving those two higher, you think?
  663. 23:12>> Well, I On the utility side, it's I
  664. 23:15mean, the the number one constraint to
  665. 23:17AI is
  666. 23:18energy.
  667. 23:19And so, if you want to play the AI
  668. 23:21ecosystem in a regulated way in some
  669. 23:24cases,
  670. 23:25um
  671. 23:26that's a it's a good sector to to take a
  672. 23:28look at. On the pharma side, I mean,
  673. 23:31there's a huge demographic tailwind to
  674. 23:33pharma.
  675. 23:34Uh and again, I think we're in the the
  676. 23:37the time of the market where like winner
  677. 23:39takes all, bigger is better. These large
  678. 23:42pharma names are very large and have
  679. 23:44been able to start to embed AI into
  680. 23:47their workflows. You'll start to see
  681. 23:48those those synergies accelerate.
  682. 23:51>> So, one of the stocks that I personally
  683. 23:53like is Eli Lilly.
  684. 23:56I think they have an amazing few years
  685. 23:58ahead based on earnings growth, but part
  686. 24:01of that is I think the demographic
  687. 24:03tailwind is pretty incredible. If If
  688. 24:05everyone's getting older and also all
  689. 24:07the young people are increasingly
  690. 24:08wanting to get fitter through GLP-1s or
  691. 24:11any of these other types of drugs, that
  692. 24:13seems like a big winner, and I think the
  693. 24:14thesis probably applies to the whole
  694. 24:16sector, like healthcare, pharma, and
  695. 24:18biotech to a certain extent. I think is
  696. 24:20a massive AI beneficiary because of all
  697. 24:22the research, and if you can speed up
  698. 24:25drug development processes, that is
  699. 24:27super interesting to me. That's a space
  700. 24:28I'm watching a lot.
  701. 24:31Okay, there are a couple regional
  702. 24:33questions I have to follow up with you.
  703. 24:35Um
  704. 24:35>> Can I just I I just want to finish on
  705. 24:37that?
  706. 24:37>> it.
  707. 24:37>> I would just say that that your thesis
  708. 24:39is like wrapped around the topic of
  709. 24:41longevity.
  710. 24:43You know, that when you think about how
  711. 24:45much wealth has been created over the
  712. 24:48last couple of years,
  713. 24:51everybody I know, and I'm sure everybody
  714. 24:52you know, is very focused on how to stay
  715. 24:55healthy, how to live longer. We call
  716. 24:58that basically the longevity trade. And
  717. 25:01to your point, that's you know, if I'm
  718. 25:03just re- re-framing what you're focused
  719. 25:04on in your thesis, that's how I would I
  720. 25:06would I would say it is.
  721. 25:08>> Is the longevity trade something Goldman
  722. 25:10is focused on?
  723. 25:11>> I'd say like from a thematics, yes,
  724. 25:13because everything about longevity, it
  725. 25:16changes some of your life cycle
  726. 25:18business, it changes how you, you know,
  727. 25:20discount liabilities over time. So, you
  728. 25:22have to be very thoughtful around if
  729. 25:24people are going to live much longer,
  730. 25:26it's going to change some of your
  731. 25:27assessments for how they should be
  732. 25:29saving. So, yes, I think it's part of
  733. 25:33everything that we're talking about is
  734. 25:35how you think about longevity both in
  735. 25:37the individual sectors, but also what
  736. 25:39does this mean for how people are going
  737. 25:40to save and their needs to save over
  738. 25:42time.
  739. 25:44>> What do you think fits into the
  740. 25:46longevity thesis? And maybe there's
  741. 25:48nothing else, but besides pharma,
  742. 25:51healthcare, biotech, what else would you
  743. 25:53loop into the longevity idea?
  744. 25:55>> I mean, on the private side, life
  745. 25:57sciences,
  746. 25:59uh you know, how people are, you know,
  747. 26:01trying to invest to find, you know,
  748. 26:04unique creative ways to
  749. 26:06cure cancer, you know, deal with
  750. 26:09different ailments. So, it yes, it's
  751. 26:11like
  752. 26:12private version of some of the public
  753. 26:13stuff you've talked about.
  754. 26:15>> Okay, yeah, I I like that a lot. Um
  755. 26:19I have another thing that I've been
  756. 26:21writing about a lot is how GLP-1s are as
  757. 26:24big of a technology as AI.
  758. 26:27And I think if you
  759. 26:28just take the zoomed out version of what
  760. 26:30you're saying, longevity plus AI,
  761. 26:33probably the two biggest investment
  762. 26:34themes for the next decade, maybe.
  763. 26:37>> Yeah, they're two they're right up there
  764. 26:39with some of the most important themes
  765. 26:40of the next decade.
  766. 26:42>> Okay, so tell me about Indonesia. This
  767. 26:45was also in your notes. Is this
  768. 26:47something you still see as an
  769. 26:48opportunity? One, and two, how would
  770. 26:51someone get exposure to Indonesia?
  771. 26:53>> So, I just want to reframe that cuz
  772. 26:55Okay. This is where context matters. Um
  773. 26:57this was because there was a pretty
  774. 26:59material drawdown in Indonesia. So,
  775. 27:01someone had asked me, you know, did I
  776. 27:03did I think that there were going to be
  777. 27:04a recovery? This was actually as a
  778. 27:06result of an index inclusion or
  779. 27:08exclusion, and this all go back to the
  780. 27:10question that you had asked me earlier
  781. 27:12on, like index concentration, index
  782. 27:14matters. All of these rules matter
  783. 27:15because people have been investing
  784. 27:18passively
  785. 27:20for quite some time now. And so, if
  786. 27:21there's a big change on an index, then
  787. 27:24that leads to a certain amount of
  788. 27:25dollars having to be a seller of that.
  789. 27:28And so, that was what that question was
  790. 27:29about.
  791. 27:30>> Okay.
  792. 27:31Um
  793. 27:32is that a country that you would just
  794. 27:36tie into the emerging markets theme more
  795. 27:38broadly?
  796. 27:40>> So, to be fair, I'd say the reason that
  797. 27:43I was focused on it was because of the
  798. 27:44index inclusion or exclusion, not
  799. 27:46because I'm you know, super bulled up on
  800. 27:49>> Okay.
  801. 27:50>> Indonesia and and the specifics.
  802. 27:52>> So, Alexander, I'm very curious. What do
  803. 27:54you think
  804. 27:55differentiates Goldman Sachs's view on
  805. 27:57the market, and also
  806. 28:00what you're sharing with your clients
  807. 28:01compared to some of the other Wall
  808. 28:03Street firms on uh just talking about AI
  809. 28:06these days?
  810. 28:07>> Sure.
  811. 28:08Um
  812. 28:09so, I'm not sure if you've heard this
  813. 28:10term one GS, uh but it's something we
  814. 28:14refer to internally to represent
  815. 28:16bringing the best of one Goldman Sachs
  816. 28:19and all of the different touch points we
  817. 28:20have with this the broader financial
  818. 28:22ecosystem
  819. 28:24to ideas, portfolios, clients.
  820. 28:27And
  821. 28:29in that vein,
  822. 28:31we have, you know, some of the best
  823. 28:33investment bankers, some of the best,
  824. 28:35you know, markets guys who are talking
  825. 28:37to, you know, people who move a
  826. 28:38tremendous amount of capital. Our
  827. 28:40private side guys are dealing with
  828. 28:42different investor types than some of
  829. 28:44the public side guys, but that
  830. 28:46ecosystem, the conversation that exists
  831. 28:49obviously under the right, you know,
  832. 28:50compliance and and firewalls and all the
  833. 28:52stuff that you have to have, but just
  834. 28:54that broader dialogue, I think elevates
  835. 28:57us because we're just so in tune
  836. 29:00to what's happening in the market. To be
  837. 29:02fair, I think we because we are the
  838. 29:04market. We are a huge part of the
  839. 29:05capital that's moving around.
  840. 29:07Um and that's why, you know, when
  841. 29:10someone asks these
  842. 29:12kind of like bombastic questions like
  843. 29:14that are zero or some, like is it over
  844. 29:16or is it forever, you know, we can give
  845. 29:18you a more rational answer about what
  846. 29:20we're seeing in the ecosystem, rather
  847. 29:22than, you know, just a
  848. 29:25you know, a guess or a research
  849. 29:27estimation, if you will.
  850. 29:29>> I think that makes sense. Um
  851. 29:31if you could leave investors,
  852. 29:34mostly independent investors, I would
  853. 29:35say, with
  854. 29:39advice for the year ahead, where would
  855. 29:40you start?
  856. 29:42>> I'd say there's so much narrative.
  857. 29:45There's so much hyperbole. There's so
  858. 29:46much dialogue, you know, there's the
  859. 29:49desire to put headlines, you know, every
  860. 29:51every 30 seconds. You got to focus on
  861. 29:54the fundamentals. The fundamentals and
  862. 29:56what is the price that you're paying for
  863. 29:58something. You should go through your
  864. 29:59portfolio and make sure that you
  865. 30:01understand every single line item, how
  866. 30:04they're correlated to one another, and
  867. 30:06what the risks are to your thesis. I
  868. 30:08think it's just it's time to be back to
  869. 30:09the fundamentals again.
  870. 30:11>> Do you think the current market has
  871. 30:13gotten away from fundamentals?
  872. 30:15>> I think it had a bit and that's why it's
  873. 30:16getting repriced. And again, going back
  874. 30:19to the risk-free rate, you know, when
  875. 30:21you have a level in Fed funds that's
  876. 30:23that high, everybody has to be a little
  877. 30:26bit more thoughtful around, "Okay, well,
  878. 30:28I could get risk-free at
  879. 30:30four plus, whatever the number is, and
  880. 30:34how does that compare to to the
  881. 30:35portfolio that I own?" The same thing,
  882. 30:38we were talking a lot about
  883. 30:39investment-grade credit, you know, right
  884. 30:40now you can get really high yields, so
  885. 30:42you have to on a very high quality name.
  886. 30:45You have to assume a certain level of
  887. 30:47growth in earnings and the stock market
  888. 30:49for next year to say, "Okay,
  889. 30:51would I rather own high quality
  890. 30:53investment grade credit, or do I want to
  891. 30:54own equities from here?" And so it's
  892. 30:58think that there's just a lot more
  893. 30:59opportunity in comparison. And so it's
  894. 31:02it's time to kind of reset and be more
  895. 31:04demanding about your marginal dollar and
  896. 31:06where your portfolio is.
  897. 31:09>> I like it. Um if we were to send people
  898. 31:12to find more of your work, where should
  899. 31:14they go?
  900. 31:15>> Uh goldmansachs.com.
  901. 31:17>> Great place. Okay.
  902. 31:18>> You can You can always, you know, Google
  903. 31:20most of the stuff that we we write and
  904. 31:22author is next to our name. Um and you
  905. 31:26know, my team, the multi-asset solutions
  906. 31:27team, is actively publishing, but so are
  907. 31:30all of the wonderful colleagues within
  908. 31:31the public and private markets.
  909. 31:34>> Thank you very much for your time. I
  910. 31:35learned a lot, and I think a lot of this
  911. 31:37is over my head, but I appreciate as
  912. 31:39always.
  913. 31:39>> Thank you for having me.

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