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The Great Reallocation: Where Crypto Capital Goes Next - TOKEN2049 Singapore 2026 — Transcript

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  1. 0:08Love to see so many of you here
  2. 0:11for day one of Token 2049. A busy week
  3. 0:14for everyone, so I appreciate these four
  4. 0:15gentlemen taking some time out to sit
  5. 0:17with me.
  6. 0:18So in this conversation, we're looking
  7. 0:19at the reallocation of capital. I think
  8. 0:21why this is significant for everyone in
  9. 0:23the room is looking at where liquidity
  10. 0:25flows, looking at the different
  11. 0:27perspectives that all four of you
  12. 0:28gentlemen have. What kind of things are
  13. 0:31upcoming and what kind of things are
  14. 0:33items to to watch and to see what
  15. 0:36happens next. So starting off, I'd love
  16. 0:38to to go around the room and Richard,
  17. 0:41starting with you, just a brief
  18. 0:42introduction to the organization.
  19. 0:44>> Sure. DI Capital Management, we're an
  20. 0:45institutional manager of, you know,
  21. 0:47family office institutional capital
  22. 0:49direct into crypto space. So we work
  23. 0:51across
  24. 0:52both early stage VC and liquid markets,
  25. 0:54and we've been doing so since about mid
  26. 0:562017.
  27. 0:58>> Uh 50T Funds, we're a growth stage
  28. 1:01private equity investor,
  29. 1:03uh focus mostly on companies in the
  30. 1:05digital asset world making at least 50
  31. 1:08to 100 million in revenue.
  32. 1:10Um we've been around now 6 years.
  33. 1:13We've made 25 investments, around less
  34. 1:16than 2 billion AUM.
  35. 1:17>> Um Monarch Asset Management, uh
  36. 1:19multi-strategy hedge fund focused on the
  37. 1:21liquid markets. Um do everything from
  38. 1:23on-chain to quantitative strategies to
  39. 1:25options.
  40. 1:26Uh we're owned by FalconX.
  41. 1:28>> Brevan Howard Digital is a multi-billion
  42. 1:31division within Brevan Howard, just a
  43. 1:32$35 billion fund.
  44. 1:34The digital business invests for
  45. 1:36everything from liquid tokens through to
  46. 1:38privates.
  47. 1:39>> Thank you. Thank you all for the
  48. 1:40introduction. Now, something that we're
  49. 1:42hearing continuously across the two days
  50. 1:44on the stage is the convergence of
  51. 1:46finance, traditional finance, and
  52. 1:48digital asset space, and also what that
  53. 1:50means for everyone in terms of
  54. 1:51investments of capital.
  55. 1:53I think first of all, just starting, and
  56. 1:55Shilang, I'd like to start with you
  57. 1:56here. When we look at the convergence of
  58. 1:58the two, when we look at digital assets
  59. 1:59moving on chain,
  60. 2:01is this something where we're just
  61. 2:02seeing traditional markets having better
  62. 2:04financial plumbing, or are we really
  63. 2:06seeing a new financial suite of products
  64. 2:08for people to allocate capital into?
  65. 2:11>> Yeah, I think it's it's both, right? I
  66. 2:12think it's both in [snorts] sequence,
  67. 2:14right? Plumbing is what brings assets on
  68. 2:17chain. And once it's on chain, I think
  69. 2:21how it's trader interact with, it's it's
  70. 2:23the user behavior that changes and
  71. 2:26creates a new market. Um and I want to
  72. 2:28differentiate between a new asset and a
  73. 2:30new market, cuz market takes into
  74. 2:32account how users interact with the
  75. 2:33asset and how behavior changes, right? I
  76. 2:36think if you look historically at
  77. 2:38financial markets and how that became,
  78. 2:41you know,
  79. 2:41on the internet, uh
  80. 2:43capital markets, how they became
  81. 2:44electronic, uh payment markets, how that
  82. 2:47became digital, all that changed how we,
  83. 2:50you know, paid, traded, invested, uh and
  84. 2:54interacted with these new markets,
  85. 2:55right? And now, I think you're looking
  86. 2:57at things like
  87. 2:59um
  88. 3:00you know, on-chain vaults or uh uh uh
  89. 3:04you know, yield-bearing stablecoins.
  90. 3:06Uh these are all fundamental or
  91. 3:08perpetual swaps, right? These are all
  92. 3:09fundamentally different markets. They
  93. 3:11might not all be new assets, but they
  94. 3:13are fundamentally different as uh
  95. 3:15markets and how users interact with them
  96. 3:18um are consistently different than how
  97. 3:20historically uh they have, right? Like a
  98. 3:23a trader on a Saturday, you know,
  99. 3:25trading AI chip stocks, um you know, on
  100. 3:27a perpetual market, that that is
  101. 3:29fundamentally a different market, right?
  102. 3:31So, um
  103. 3:33that that I I truly believe that we are
  104. 3:35creating new new markets.
  105. 3:37>> And Chris, what about you? Do you agree
  106. 3:38with the statement of newer products
  107. 3:40versus better plumbing?
  108. 3:42>> Yeah, I I align with that. We're seeing
  109. 3:45really two phases here. The first phase
  110. 3:47for tokenization is effectively using it
  111. 3:49as a wrapper.
  112. 3:51So, with stablecoins and
  113. 3:53you're effectively you're
  114. 3:54traditional finance instruments
  115. 3:56uh with a tokenized layer. That brings
  116. 3:59significant benefits.
  117. 4:00Um as mentioned, 24/7 trading,
  118. 4:03more efficient allocation of capital.
  119. 4:06But what gets really exciting is when
  120. 4:08you hit phase two, which is when you
  121. 4:09have native issuance on chain.
  122. 4:11And there's a couple of interesting
  123. 4:13transactions that really identify that
  124. 4:15the where the puck is moving. One of
  125. 4:17those is Bullish's acquisition of
  126. 4:19Aquinity.
  127. 4:20And the other is Securitize tie-up with
  128. 4:23Computershare.
  129. 4:25In both those cases, they're targeting
  130. 4:27um native shareholder registries
  131. 4:31that can be brought on chain. And that
  132. 4:32really opens up then native [snorts]
  133. 4:34issuance on chain, which will bring the
  134. 4:35second phase,
  135. 4:37which will bring more benefits in terms
  136. 4:39of efficiency particularly,
  137. 4:41um but also in terms of operations.
  138. 4:44So,
  139. 4:45what lens I look at it at this point is
  140. 4:47it's really about where does this value
  141. 4:49accrue, and where the investment
  142. 4:51opportunities are as this convergence
  143. 4:54continues.
  144. 4:55>> And now you've mentioned the phrase open
  145. 4:58things up. And Richard, Dan, I want to
  146. 5:00turn to you now. We've got to talk about
  147. 5:01liquidity. As we see the barriers to
  148. 5:03entry come down, do we see that there's
  149. 5:06new liquidity pools, there's more
  150. 5:07capital to be allocated, or is this just
  151. 5:09the same liquidity moving around in
  152. 5:11different cycles? Richard, I'll start
  153. 5:13with you.
  154. 5:14>> Yeah, I think by definition there's more
  155. 5:16liquidity because if you can trade
  156. 5:17something on the weekend that you
  157. 5:18couldn't trade on the weekend before,
  158. 5:20you've automatically started a new
  159. 5:21market and new liquidity that didn't
  160. 5:23exist yeah, probably only 12 months ago.
  161. 5:26I think also, you know, people
  162. 5:28underestimate, particularly people that
  163. 5:29come from advanced developed markets,
  164. 5:32the barriers that exist outside of those
  165. 5:34advanced developed markets to own a lot
  166. 5:35of assets. And you know, stable coins is
  167. 5:38a good example of you know, how
  168. 5:40launching a probably the world's most
  169. 5:42boring product in terms of a US dollar
  170. 5:45onto a new technology framework has
  171. 5:47basically seen the proliferation,
  172. 5:49particularly through Asia, of you know,
  173. 5:51new people owning US dollars effectively
  174. 5:53that never owned them before.
  175. 5:54And I just think we'll see the same
  176. 5:55thing again, that we'll see
  177. 5:57people using this technology to, you
  178. 6:00know, own an interest in a Tesla stock
  179. 6:02or own an
  180. 6:03interest in SpaceX, which
  181. 6:05for a lot of us is easy to do in our
  182. 6:06home market, but for a lot of other
  183. 6:07people it's not. And, you know, so that
  184. 6:09adds liquidity. I do think it does
  185. 6:12start to push the liquidity to the top
  186. 6:14end of assets, like we've seen with
  187. 6:16stable coins and US dollars
  188. 6:18proliferating much more than you would
  189. 6:20probably expect. You know, there's an
  190. 6:21Aussie dollar stablecoin market, but
  191. 6:23it's tiny even in Australia compared to
  192. 6:25the US dollar stablecoin market.
  193. 6:27And I think we're starting to see that
  194. 6:29in tokenization market as well as people
  195. 6:31sort of congregating to those mega
  196. 6:32assets around, you know, the
  197. 6:34SpaceX, the Teslas, those sorts of
  198. 6:36stocks that they've wanted to own and
  199. 6:37there's been barriers to stop them
  200. 6:38before.
  201. 6:39>> Mhm. And right now the open access is is
  202. 6:41quite new. So, we are seeing a broad
  203. 6:43range of allocations of liquidity. But,
  204. 6:46Dan, are you starting to see, looking
  205. 6:48ahead 3 to 5 years time, can there be a
  206. 6:51concentration in just a few pools or
  207. 6:53markets?
  208. 6:55>> Um
  209. 6:56I don't know. 3 to 5 years,
  210. 6:58uh
  211. 6:59in our space and I overlay AI, uh I
  212. 7:03think it's it's hard to know.
  213. 7:05Um I would say [snorts] that the space
  214. 7:07has changed dramatically from 2020-2021.
  215. 7:10Um
  216. 7:12at that point it was mostly just about
  217. 7:14Bitcoin and ETH and maybe the beginning
  218. 7:16of Solana and then all these venture
  219. 7:18projects.
  220. 7:19Um and in the last 5 years, I mean,
  221. 7:22Richard's mentioned, you know,
  222. 7:23stablecoin growth was a zero essentially
  223. 7:25in 2020.
  224. 7:27And now RWAs are real and we have, you
  225. 7:30know, perps trading and uh I think every
  226. 7:33cycle has has different um aspects that
  227. 7:37drive it.
  228. 7:37>> Mhm.
  229. 7:38>> I think clearly hype is been a driver of
  230. 7:41this current cycle. I think we're in a
  231. 7:42bull phase now, finally. Um but then you
  232. 7:46have prediction markets, which
  233. 7:47essentially didn't exist before.
  234. 7:49Um you know, capital uh is definitely
  235. 7:54going to different places in this cycle
  236. 7:57than it did in previous cycles. And then
  237. 7:59I'd say more broadly, unfortunately,
  238. 8:02um with the advent of AI, I mean,
  239. 8:05fortunately, the capital suck out of
  240. 8:09blockchain crypto has been enormous. And
  241. 8:11so, it's been a more difficult cycle
  242. 8:15because, you know, you have the short
  243. 8:16rates in the US at 5% and um you have
  244. 8:20all these other, I would say, um
  245. 8:23frontier capital
  246. 8:25uh allocations going to space and
  247. 8:28robotics and uh and to build out the AI,
  248. 8:31which is trillions of dollars. So,
  249. 8:35I think we we definitely have seen less
  250. 8:38capital
  251. 8:39um so far
  252. 8:41in this bull phase, and I think it may
  253. 8:43have been like why it's so grudging
  254. 8:46on the on the on the on the surface.
  255. 8:49Like, Bitcoin again at the same price
  256. 8:51almost that it was 5 years ago. But then
  257. 8:53there's been tremendous growth in all
  258. 8:55these other ancillary areas that I would
  259. 8:57say are part of the digital asset
  260. 8:59ecosystem that has really grown. And
  261. 9:02tokenization
  262. 9:04uh with the value of all things moving
  263. 9:08>> [snorts]
  264. 9:08>> on chain.
  265. 9:09>> Yeah.
  266. 9:10>> Right. Um
  267. 9:12I think that's the leader for this
  268. 9:13cycle.
  269. 9:15Yeah.
  270. 9:15>> Interesting. And you've mentioned the AI
  271. 9:18capital flows that we did see. There was
  272. 9:20huge interest and momentum from the AI
  273. 9:22space. A lot of people in crypto did
  274. 9:23question if we were seeing liquidity
  275. 9:25move from the crypto space over into the
  276. 9:27the AI world. Chris, I'm curious to hear
  277. 9:31your takes here for someone that's been
  278. 9:32kind of watching and seeing both both
  279. 9:35industries [snorts] emerge.
  280. 9:36Are these different pools of capital or
  281. 9:39are we seeing the rotation move from one
  282. 9:41back to the other?
  283. 9:42>> I think maybe just to start off,
  284. 9:43expectation is that you'll see different
  285. 9:46themes attract capital at different
  286. 9:47points and momentum can be a good driver
  287. 9:50of that.
  288. 9:51The lens of which we look at it is that
  289. 9:53these two technology cycles are
  290. 9:55complementary and annotative. Um
  291. 9:59AI maybe to start with that is
  292. 10:02early in the sense of the picks and
  293. 10:03shovels a huge amount of capex.
  294. 10:06But what we're seeing there already is a
  295. 10:08shift from analyzing data to creating
  296. 10:11data
  297. 10:12to then acting on that data. And so that
  298. 10:15transition has happened quickly and the
  299. 10:17acting on the data brings in a whole new
  300. 10:20realm of economic actor
  301. 10:23that requires crypto rails to operate.
  302. 10:27So that's one kind of cool out on the AI
  303. 10:28cycle.
  304. 10:30The other interesting observation as
  305. 10:32well is that AI is facing a lot of the
  306. 10:34common questions and challenges that
  307. 10:36crypto did in terms of regulation,
  308. 10:39energy use, market infrastructure
  309. 10:42uh whether it should be open or closed.
  310. 10:45So that's another indication of how
  311. 10:46these two cycles have similarities and
  312. 10:48how they um overlap.
  313. 10:51And then back to these economic actor
  314. 10:55again that kind of splits in my mind
  315. 10:56into two
  316. 10:58themes. The first is retail.
  317. 11:00So retail can use AI for a variety of
  318. 11:03different activities whether it's moving
  319. 11:04cash.
  320. 11:05Uh
  321. 11:06then on the institutional side
  322. 11:09it can have much bigger implications for
  323. 11:11treasury management.
  324. 11:13And so
  325. 11:15we're still very early in this uh
  326. 11:17is intertwining of these two cycles
  327. 11:20uh but I see them as compounding each
  328. 11:21other and increasing as you see more use
  329. 11:24cases for crypto rails.
  330. 11:27>> And I absolutely agree. I think crypto
  331. 11:29rails will run for for the AI ecosystem.
  332. 11:32If we look at the adoption curve of what
  333. 11:33we've seen for AI compared to crypto,
  334. 11:36the AI adoption curve was like a hockey
  335. 11:38stick. It was just straight up. And I
  336. 11:40think everyone in the room can
  337. 11:41acknowledge that blockchain rails will
  338. 11:43provide the the brick-and-mortar
  339. 11:45infrastructure and currency that we'll
  340. 11:46use. Do we think that's been priced in
  341. 11:49yet?
  342. 11:50>> No, it's not been priced in. I mean,
  343. 11:52XRO2, which is
  344. 11:54maybe just in the very early stages.
  345. 11:56There's no There's actually no
  346. 11:59significant revenue coming from any of
  347. 12:01the agentic
  348. 12:03uh transactions on chain. I mean, it's
  349. 12:05tens of millions of dollars, I think, at
  350. 12:06the very most, even though there've been
  351. 12:08trillions uh trillions millions of
  352. 12:10agents that have transacted on chain.
  353. 12:13It's just very, very small.
  354. 12:15Um but I definitely think this overlap
  355. 12:18of AI and blockchain,
  356. 12:20there're going to be many companies that
  357. 12:22are being built, and uh I think many
  358. 12:25protocols that'll be leveraged to that.
  359. 12:27So, it's just
  360. 12:28just very early. I mean, it didn't exist
  361. 12:30even a year ago. I mean, Richard, are
  362. 12:32you involved in any of these
  363. 12:35little projects that are popping up?
  364. 12:37>> Yeah, some of them. And I think the the
  365. 12:39overlay to um
  366. 12:41you know, that where's the marginal
  367. 12:42dollar gone in the last 12 months is
  368. 12:44pretty stark. If you look at
  369. 12:45you know, the performance of crypto now,
  370. 12:47there's you know, you don't want to put
  371. 12:48too much causality here, but the
  372. 12:50performance of crypto versus the
  373. 12:51performance of the software sector
  374. 12:54statis- uh software indi- indices in the
  375. 12:56US is almost a perfect match, right? And
  376. 13:00software's been sold off because it's a
  377. 13:02not AI industry.
  378. 13:03So, I think the marginal dollar made the
  379. 13:05call early on that crypto's not a AI
  380. 13:08industry.
  381. 13:09They've taken money from crypto, they've
  382. 13:10put it into chase the next thing in the
  383. 13:12software in the AI space, just like
  384. 13:15they've sold their software names into
  385. 13:16the AI space.
  386. 13:18But, you know, as markets do, they
  387. 13:19overreact, and you start to get things
  388. 13:20like software companies
  389. 13:22that are pretty good trading at six
  390. 13:23times PEs, and you start to see crypto
  391. 13:25companies getting assumed they're not
  392. 13:27going to go anywhere or have anything to
  393. 13:28do with AI, which I think which I think
  394. 13:30is wrong. Um
  395. 13:32You know, everything that digitizes the
  396. 13:34world is good for crypto in my view and
  397. 13:35and then there's nothing around AI
  398. 13:37that's not digital, right? So, it's just
  399. 13:38going to bring more and more
  400. 13:40assets, more and more users, more and
  401. 13:42more things into the space that move at
  402. 13:44crypto need to move at crypto speeds.
  403. 13:46>> Mhm. It's not priced in at all. I mean,
  404. 13:48I would That was your question.
  405. 13:49>> Yeah.
  406. 13:50>> Yeah, zero. I mean, I don't
  407. 13:52>> Well, I think crypto's priced that it's
  408. 13:53not that it's negative that AI's
  409. 13:55actually a negative if anything, right?
  410. 13:57So,
  411. 13:57>> Well, I mean, the the future of AI and
  412. 14:01blockchain together, that 3-5 year
  413. 14:03future is not priced in today.
  414. 14:05There's no in the price of the
  415. 14:07cryptocurrency.
  416. 14:09So,
  417. 14:11>> There's also a big macro factor as well,
  418. 14:14which is the redistribution of baby
  419. 14:16boomers' money in the US.
  420. 14:18As we age, there'll be uh tens of
  421. 14:20trillions.
  422. 14:22And there's been lots of speculation for
  423. 14:24a number of years about how that will
  424. 14:25affect markets and how that will affect
  425. 14:27investing.
  426. 14:28And this is This is happening and
  427. 14:30accelerating a point where
  428. 14:32AI agents are going to be available to
  429. 14:35individual retail traders
  430. 14:37to operate and use them on uh blockchain
  431. 14:39rails. So, we are really at the um
  432. 14:42really at an inflection point where the
  433. 14:43form's not priced.
  434. 14:45>> Because it's a really interesting
  435. 14:46advantage for everyday retail traders,
  436. 14:48people that are in the audience, people
  437. 14:49like me and you, that are now able to
  438. 14:52have a much sophisticated strategy for
  439. 14:54how to
  440. 14:56allocate that idle capital that's just
  441. 14:58sitting in a bank. So, do you think that
  442. 15:00will change any of the adjusted terms?
  443. 15:03>> Yes, I think
  444. 15:04we're still very early. And I think
  445. 15:05we've it'll take a bit of time to build
  446. 15:07up trust for that, but um yeah,
  447. 15:10there's a lot of cash sitting at banks
  448. 15:13and can that be invested in a different
  449. 15:16way by retail using AI?
  450. 15:19Absolutely. Uh and that will mean that
  451. 15:22banks will have compete for those
  452. 15:23deposits and there'll be more products
  453. 15:24available for
  454. 15:26uh for retail. One of [snorts] the kind
  455. 15:28of macro implications that sometimes
  456. 15:30gets discussed, of course, is how does
  457. 15:32that impact credit formation?
  458. 15:34In terms of credit impulse
  459. 15:37uh
  460. 15:38but with banks using that cash to make
  461. 15:39loans into the economy.
  462. 15:42And where I think is so interesting is
  463. 15:43that there's going to be a number of
  464. 15:44direct products, direct credit products
  465. 15:47that investors are going to be able to
  466. 15:48use AI agents to find and invest uh as
  467. 15:51well as the cash. And so I think the
  468. 15:53impact uh from that transformation that
  469. 15:56banks undertake will be look much less
  470. 15:58than perhaps people expect.
  471. 16:01>> Interesting. And Richard, what do you
  472. 16:02think as well? I think for people that
  473. 16:03are in the asset management space, also
  474. 16:05looking at digital assets, it's also
  475. 16:07going to be competitive in terms of
  476. 16:09working with clients.
  477. 16:10>> Yeah, I think so. I think the
  478. 16:12you know, the the easiest read we have
  479. 16:14on AI's impact on crypto markets is that
  480. 16:16uh volumes explode.
  481. 16:18So,
  482. 16:19um if you look Robinhood's brought in
  483. 16:21agents alongside there for their
  484. 16:23customers to use. Aero drone in the
  485. 16:24crypto space is launching agents.
  486. 16:27I think everyone's going to have access
  487. 16:28to
  488. 16:30more sophisticated, high-frequency type
  489. 16:32trading
  490. 16:34uh capabilities that they've never had
  491. 16:35before. Even I, you know, who who I'm a
  492. 16:37fundamental guy, I'll you know, I'm
  493. 16:38running a bunch of agents trading
  494. 16:40probably helping Brevans and Monarchs
  495. 16:42bottom line in terms of them picking me
  496. 16:43off in the market, but it's liquidity
  497. 16:46that wasn't in the market 3 months ago
  498. 16:48that, you know, scales quite peak. So, I
  499. 16:50think from our perspective,
  500. 16:52the opportunity we see around in the
  501. 16:53short term is that volumes will pick up
  502. 16:55materially. I think it does mean that um
  503. 16:58everyone gets access to more
  504. 16:59sophisticated,
  505. 17:01more agentic type HFT type um
  506. 17:05capabilities they haven't had before,
  507. 17:06but I I'd I'd just be a little cautious
  508. 17:07because
  509. 17:09you know, whether that's the right thing
  510. 17:10to thing for them to put their money in,
  511. 17:11right? There's still barriers around
  512. 17:12banks allocating that capital that's
  513. 17:14still relatively high risk, hard things
  514. 17:16to understand for a bunch of people. So,
  515. 17:19um I think in the short term it pushes
  516. 17:21it pushes volumes up, but there's still
  517. 17:22a barriers before I think we see a mass
  518. 17:24reallocation of capital.
  519. 17:26>> I think one share probably is just it it
  520. 17:29matters in a world of AI and
  521. 17:31agentic trading and agentic finance,
  522. 17:32probably matters less where capital sits
  523. 17:36and what that capital represents or how
  524. 17:39fungible that capital is um
  525. 17:42and whether you can use that as
  526. 17:45liquidity across many, many platforms,
  527. 17:47right? Because an agent doesn't really
  528. 17:49fundamentally care um you know, where
  529. 17:52the asset sits. The inertia and barriers
  530. 17:54in moving that assets kind of falls and
  531. 17:57dies down over time. And really what
  532. 17:58that matters is how that asset easily
  533. 18:00can move across the ecosystem and um
  534. 18:03various on-chain markets, right? So, I
  535. 18:04do think yes, more volume. Um I think it
  536. 18:08matters less about the platform and
  537. 18:10ultimately the brand
  538. 18:11um and ultimately what that asset
  539. 18:13represents um and how it can be utilized
  540. 18:15um on chain, for example.
  541. 18:18>> So, we've talked about looking ahead,
  542. 18:19the convergence of AI and crypto,
  543. 18:22blockchain rails on tradfi systems.
  544. 18:24It seems pretty bullish from what we're
  545. 18:26seeing, but then there's also the macro
  546. 18:28environment at play. And I think Dan,
  547. 18:30this is where I do turn to you as the
  548. 18:31macro and Bitcoin guy and from a content
  549. 18:33perspective. So, can you give us a
  550. 18:35run-through of kind of how the macro
  551. 18:37environment is lining up right now and
  552. 18:39what kind of things this is pointing to?
  553. 18:42>> Um
  554. 18:44okay, you set me up for that one, but
  555. 18:45yes, you're right. I'm a macro guy all
  556. 18:47time.
  557. 18:48Um look, I
  558. 18:51had originally not thought the interest
  559. 18:53rates in the US would back up to this
  560. 18:55degree.
  561. 18:56Uh I really think that um
  562. 18:59it's been overdone.
  563. 19:01Um the employment data in the US has
  564. 19:04been very soft. Average hourly earnings
  565. 19:06just hit 3%. It's been straight down to
  566. 19:08the last few years.
  567. 19:10>> [cough]
  568. 19:11>> You know, [clears throat] the the oil
  569. 19:12shock from the war is obviously having
  570. 19:16impact in the US. You can see
  571. 19:18uh gasoline prices up at $6. You've
  572. 19:21never seen that before. So, I think
  573. 19:23that's artificially inflating some of
  574. 19:25the inflation numbers.
  575. 19:27But with uh the Fed Governor Warsh and
  576. 19:30Scott Bessent at Treasury managing
  577. 19:33um I actually feel quite confident. I
  578. 19:36mean, they both uh as I did, they both
  579. 19:38work for Standard Chartered Bank. I
  580. 19:40worked at Ducane. I actually was there
  581. 19:42between Warsh uh between Bessent and
  582. 19:44Warsh. Um and
  583. 19:47you know, their framework for analyzing
  584. 19:51world markets uh
  585. 19:53is I think of a quality that we've never
  586. 19:56seen before
  587. 19:58like in the US, like going back 30, 40
  588. 20:00years. So, I'm not worried about the
  589. 20:03bond market losing control. I lose you
  590. 20:05know, people saying that that that the
  591. 20:07bond control bond market's been out of
  592. 20:09control.
  593. 20:10But on the other hand, France really
  594. 20:12does have a problem and uh
  595. 20:14spread between French and German bonds
  596. 20:16is blown out to the most in sort of 15
  597. 20:19years or so. So,
  598. 20:21um and that's for political reasons. I I
  599. 20:24do think a around the edges liquidity
  600. 20:27generally. So, what is macro? Macro is
  601. 20:29assessing changes in liquidity and how
  602. 20:32they'll affect the broad asset markets.
  603. 20:35Um
  604. 20:36I think
  605. 20:37um
  606. 20:39broadly underneath the US market
  607. 20:42there's a lot of damage uh that's being
  608. 20:45done. So, the top 10, 20 companies are
  609. 20:48all doing great, but the bottom, you
  610. 20:50know, 300 in the S&P are just getting
  611. 20:53killed. And their businesses uh I think
  612. 20:56are challenged. So, there's a real
  613. 20:59bifurcation and this is why you're not
  614. 21:01hearing Usually, macro there's a very
  615. 21:03clear direction. Um and what that will
  616. 21:07mean, of course, for gold and Bitcoin.
  617. 21:09And I think at the moment
  618. 21:13you know, it's a bit of a mixed picture.
  619. 21:17And what I would say is that Bitcoin,
  620. 21:20ETH, digital assets broadly have
  621. 21:23massively underperformed the Nasdaq
  622. 21:26in the last few years.
  623. 21:28And I think that that underperformance
  624. 21:29is essentially coming to an end.
  625. 21:33You know, I I I think about
  626. 21:36So, stepping a bit like for a second
  627. 21:38just back from the traditional macro.
  628. 21:41If you think back to 2021
  629. 21:44when Bitcoin was at 60
  630. 21:46and
  631. 21:47ETH were over 3,000
  632. 21:50and you look at how developed the
  633. 21:52digital asset landscape was then versus
  634. 21:55today
  635. 21:56Today it it is much more developed and
  636. 21:59you have ETFs and all sorts of you have
  637. 22:02dots, you have the the the whole perps,
  638. 22:05the whole uh ecosystem has grown
  639. 22:07multiples.
  640. 22:09Um so I think it's just the headline
  641. 22:13assets, Bitcoin and ETH that are lagging
  642. 22:16the actual developments uh underneath.
  643. 22:20Um
  644. 22:20and so therefore
  645. 22:22uh I and they've massively
  646. 22:24underperformed the Nasdaq. So, I think
  647. 22:26it's right now is a fantastic time
  648. 22:28um to be long and making investments in
  649. 22:31our space. I mean, I don't Do you have
  650. 22:33the same view?
  651. 22:34>> Yeah. Yeah, I think. Yeah.
  652. 22:36>> I mean, to your point, if if prices are
  653. 22:37down
  654. 22:38but fundamentals are up, things are
  655. 22:40cheap.
  656. 22:41So
  657. 22:42>> And they're very clear. It's not like
  658. 22:44this is a nuanced situation. There were
  659. 22:46no stablecoins. Now there are 50
  660. 22:47trillion dollars of volume. There were
  661. 22:49no RWAs, now there are. There were no
  662. 22:51perps, there was no predict There was
  663. 22:52nothing. So
  664. 22:55it's just
  665. 22:56uh a waiting game. You know, we just
  666. 22:58have to wait. I have a 10-year life
  667. 23:00fund, thank goodness. Otherwise, I mean
  668. 23:03>> Well, that's the thing they showed us
  669. 23:04the flaw in crypto is patience, right?
  670. 23:06>> Correct.
  671. 23:07>> And it's hard to be patient against
  672. 23:09volatility.
  673. 23:10>> It's very hard.
  674. 23:12>> But also, if we're seeing a drive and
  675. 23:13increase in utility for stablecoins,
  676. 23:16mostly majority US dollar denominated,
  677. 23:19does that also play a shift in long-term
  678. 23:21macro outlooks?
  679. 23:23Maybe Sheila over to you as well.
  680. 23:25>> Yeah, I think what we're kind of seeing
  681. 23:27is um at the central bank global level,
  682. 23:30perhaps a
  683. 23:32dedollarization that's kind of happening
  684. 23:34with the bond markets, right? Uh at
  685. 23:35least temporary short-term.
  686. 23:37Uh what we've seen longer term um and
  687. 23:40what the administration has been pushing
  688. 23:42uh
  689. 23:43at call it the more grassroots, you
  690. 23:46know, call it retail level globally is
  691. 23:48kind of the redollarization of of the
  692. 23:51world, right? And it's almost like a
  693. 23:53modern Marshall Plan or soft power,
  694. 23:55whatever you want to call it, right? It
  695. 23:57is stablecoins generally are denominated
  696. 24:00in the US dollar
  697. 24:02um and the more usage of stablecoins
  698. 24:04globally
  699. 24:05ultimately results in more inflow to the
  700. 24:07dollar
  701. 24:08um and that that's been a
  702. 24:11a message and a push from the
  703. 24:12administration, you know, for the past
  704. 24:13couple of years, right? So, I think
  705. 24:15that's been a continuous shift that that
  706. 24:18we're seeing. Um and then how that ties
  707. 24:20to maybe crypto markets, I think
  708. 24:22uh generally we're we're
  709. 24:25judging the crypto markets in a
  710. 24:27bifurcated manner, right? We we we have
  711. 24:29kind of hard assets, Bitcoin, yet it's
  712. 24:32underperformed the Nasdaq in the past
  713. 24:34few years.
  714. 24:36Um but I think it'll continue to be
  715. 24:37judged as a hard asset and it'll catch
  716. 24:39up over time. Uh and then there's kind
  717. 24:41of the stablecoin dollarization of
  718. 24:45uh
  719. 24:45uh the crypto markets, right? Which is
  720. 24:47kind of everything from like payments to
  721. 24:49to trade five to to stablecoins. So,
  722. 24:52that that's kind of how
  723. 24:54I would say the crypto markets have
  724. 24:55bifurcated in general. Um and then
  725. 24:58everything else is more just risk on
  726. 24:59risk off assets.
  727. 25:01>> Can we just say one thing? I think
  728. 25:03you're right to point out
  729. 25:05it's it's not traditional macro, but
  730. 25:07that the
  731. 25:08advent of stablecoins and the growth
  732. 25:12um
  733. 25:13is a huge positive macro factor, not
  734. 25:16just for the dollar, but for assets on
  735. 25:18chain.
  736. 25:20So, I in my worldview of like where
  737. 25:23we're going, we're in the first inning
  738. 25:25or two of the tokenization of liquid
  739. 25:28assets.
  740. 25:29Um and I think that's a foregone
  741. 25:30conclusion. The holy grail for me, and
  742. 25:33it it has always been this from even 6-7
  743. 25:36years ago,
  744. 25:37was is the tokenization of illiquid
  745. 25:40assets.
  746. 25:41And so,
  747. 25:43that hasn't even started. So, when I
  748. 25:45think about where are we in the growth
  749. 25:47of our space,
  750. 25:49um the hardest, most difficult thing,
  751. 25:51but most needed is the tokenization of
  752. 25:53illiquid assets,
  753. 25:55essentially real estate, that's largely
  754. 25:57frozen. And there are all sorts of other
  755. 25:59illiquid assets.
  756. 26:01So, I think
  757. 26:02if you like think about like what am I
  758. 26:04doing? Am I should I be in this
  759. 26:06industry? Is this what's going to
  760. 26:07happen?
  761. 26:08Um to me, the end state is when all of
  762. 26:12those things, the illiquid things, are
  763. 26:13tokenized, and that hasn't even begun
  764. 26:15yet.
  765. 26:16>> I I Yeah, those are just hard maybe that
  766. 26:19the macro advising opportunity
  767. 26:21because we've got a multi-decade
  768. 26:23technology cycle and we're at the
  769. 26:25application phase.
  770. 26:26And that
  771. 26:28it moves in macro factors such as a long
  772. 26:30end.
  773. 26:31You they put pressure on prices.
  774. 26:33Those prices don't necessarily reflect
  775. 26:35what the adoption curve is doing.
  776. 26:37It's so I see those as good
  777. 26:38opportunities to to yeah, manage a long
  778. 26:41cycle with some of the macro volatility
  779. 26:44that creates those opportunities to
  780. 26:45trade and invest.
  781. 26:47>> It's such an interesting time. Now, I
  782. 26:48know we have 1-2 minutes left. I want to
  783. 26:50ask each of you if we fast forward to
  784. 26:53Token 2049 next year, what do you think
  785. 26:56one of the key conversations that will
  786. 26:58be on the stage and it could be
  787. 26:59tokenization of illiquid assets, it can
  788. 27:02be
  789. 27:03agentic AI payments and the rails beyond
  790. 27:05them.
  791. 27:06>> Look, I think um
  792. 27:08I think if we look back in a year's time
  793. 27:09it'll be how did I miss it? So,
  794. 27:12um everything we look at now
  795. 27:14is um particularly from a volume
  796. 27:17perspective in the market is, you know,
  797. 27:19near the bottom or close to the bottom
  798. 27:20of the cycle.
  799. 27:21And I think people in crypto are good at
  800. 27:23forgetting that
  801. 27:24how quickly cycles turn in crypto and
  802. 27:26that's both on the downside and the
  803. 27:28upside, but
  804. 27:29if you look at the volume cycle in
  805. 27:30particular in terms of trading and
  806. 27:32liquidity, which is, you know, sort of
  807. 27:33the key activity that happens in crypto
  808. 27:35and the key revenue generator,
  809. 27:37you know, it's down 80% from where it
  810. 27:38was in in late 2025, right?
  811. 27:42And you know, that's that's a hard thing
  812. 27:43to to go through as an investor,
  813. 27:46but we've done it before. Like at the
  814. 27:47market's drawn down 80% last time from
  815. 27:492021 to 2022 and then it grew 16x on the
  816. 27:52back of that, right? So,
  817. 27:54I think just, you know, keeping a the
  818. 27:56longer term view around adoption and
  819. 27:57where things can go and how quickly
  820. 27:59sentiment changes in quick in crypto and
  821. 28:01then how quickly the fundamentals
  822. 28:02rebound as well, because it still is a
  823. 28:04relatively small asset class and it
  824. 28:06doesn't take much of reallocation, much
  825. 28:08more attention to really see things
  826. 28:10accelerate. So, I'd hope next year we're
  827. 28:12talking around
  828. 28:13how did we miss so so many obvious
  829. 28:15things a year ago?
  830. 28:17>> A little bit contrarian, but
  831. 28:19what about the idea that
  832. 28:21the whole conference, and this is a lot
  833. 28:23of
  834. 28:24you know, it tends to be a broad
  835. 28:25cryptocurrency, but that
  836. 28:27Bitcoin
  837. 28:29becomes the center of the conference
  838. 28:30because it's trading at 250,000.
  839. 28:34And I would say ETH, you know, would
  840. 28:35come along too, so that it becomes less
  841. 28:38about all these things we're talking
  842. 28:39about now
  843. 28:41and ETH at 8,000 and Bitcoin at 250,
  844. 28:45everyone's going to be running around
  845. 28:46talking about the core assets of the
  846. 28:48space.
  847. 28:50>> Um I would say maybe at least from a
  848. 28:53financial market perspective, perhaps
  849. 28:54like compute markets, right? I think
  850. 28:57uh as a trader I'm hopeful that that
  851. 28:59does develop into a real liquid
  852. 29:02uh marketplace. Um it intersects a bit
  853. 29:05with the crypto markets. Uh we're just
  854. 29:07figuring that now from a regulatory
  855. 29:08perspective in terms of settlement
  856. 29:11indices. Hopefully by this time next
  857. 29:13year CME will actually approve
  858. 29:15everything and there will be liquid
  859. 29:16markets there and
  860. 29:18um but that's an area that, you know,
  861. 29:20I'm hopeful
  862. 29:22uh a complete new market that trading
  863. 29:24firms like ours can participate in.
  864. 29:26>> I think the word will be dispersion. I
  865. 29:28think you'll see some big winners and
  866. 29:30some big losers. That's a function of
  867. 29:32where we are in the cycle.
  868. 29:33Uh but it will be less about like the
  869. 29:35average performance more about where's
  870. 29:38the market value, where's the value
  871. 29:39capture.
  872. 29:40Uh and I think on that basis we'll have
  873. 29:42some very very large companies that
  874. 29:44which are probably 2 billion now should
  875. 29:46be 20 billion plus when we sit down here
  876. 29:49next year.
  877. 29:50>> Fantastic. Well, watch this space,
  878. 29:51gentlemen. Thank you so much for the
  879. 29:53insights today. Such a pleasure.
  880. 29:55>> Thank you.
  881. 29:56>> [applause]

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