Jordi Visser / VisserLabs
Your Capex is My Opportunity: The AI Capex Cycle Has Replaced the Old Economy Business Cycle
TL;DR
- El Ciclo de IA ha Reemplazado al Económico Tradicional: La dinámica del mercado ha pasado de "tu margen es mi oportunidad" a "tu gasto de capital (Capex) es mi oportunidad", impulsando un crecimiento masivo en infraestructura.
- Riesgos Inflacionarios y Estructurales: A pesar del rally, persisten señales de inflación persistente (gasolina, exportaciones chinas) y riesgos macroeconómicos que asemejan a los años 70, mientras la escasez global de cómputo se agrava.
- Oportunidades Temáticas Clave: El nuevo ciclo está estructurado en cinco capas: desde semiconductores (fase temprana) hasta energÃa y humanoides (fase tardÃa). Se recomienda sobreponderar estos sectores temáticos.
Resumen
YouTube: https://www.youtube.com/watch?v=2ZpMtgN6nTo | Duración: 43 min | Pipeline: GPT-5.4 (v2.1 anchor-first)
â—† Buscar el alpha
La tesis central de Visser es que el ciclo de capex de IA ha reemplazado al viejo ciclo económico. No está proponiendo un simple style rotation entre sectores; está diciendo que el benchmark ya está mal planteado si sigue asumiendo que la economÃa la mueven sobre todo los ciclos tradicionales de márgenes. Lo ancla con una cadena de hechos concretos: S&P, Nasdaq y small caps acababan de firmar uno de sus mejores meses en 25 años; Caterpillar acumula un backlog de 62.000 millones de dólares y la demanda de equipos de generación eléctrica podrÃa triplicarse hasta 2030; el buildout global de IA se describe como un ciclo de unos 90 billones de dólares; el backlog cloud de los hyperscalers ronda 1,3-1,4 billones; los futuros de gasolina sin plomo están rompiendo al alza, con septiembre cerca de 87 dólares; los semiconductores ya son el mayor grupo GICS de segundo nivel del S&P con unos 10 billones; y Anthropic aparece citado con una posible run-rate de 50.000 a 100.000 millones a final de año. La implicación práctica es que el mapa de ganadores cambia: en vez de mirar primero al beta amplio del Ãndice, quiere que el inversor siga la layer-cake del buildout AI — racks, advanced packaging, optical fiber, quÃmicos, power semis, grid equipment y, más tarde, humanoides. El peligro no es que desaparezca la demanda; es que inflación, breadth pobre y escasez de cómputo vuelvan el ciclo más selectivo y más constrained por oferta de lo que admiten los takes fáciles de “AI bubbleâ€.
- Benchmarks viejos, ciclo nuevo: antes era “tu margen es mi oportunidadâ€; ahora es “tu capex es mi oportunidadâ€.
- La amplitud interna flojea: financieras bajo 200DMA, software/private equity débiles y cross-asset correlations rompiéndose.
- La inflación vuelve al centro: gasolina, export prices chinas, fertilizantes, cultivos, inflation swaps y yields largos encajan con su warning estilo años 70.
- La escasez de compute es real: la demanda de cloud/modelos corre más rápido que la capacidad global y mantiene vivo el trade de infraestructura.
- Los quÃmicos importan mucho más: tubing, advanced packaging, polÃmeros e inputs energéticos pasan a ser activos cuello de botella.
- Cripto sigue dentro del marco: mantiene Bitcoin y Ethereum en las growth allocations mientras vigila triggers regulatorios y técnicos.
| Ancla | Qué dice Visser | Por qué importa |
|---|---|---|
| Mes de mercado | Uno de los mejores meses en 25 años | AI ya está moviendo beneficios y sentimiento a nivel Ãndice |
| Backlog de Caterpillar | 62.000M; equipos de energÃa podrÃan triplicarse hasta 2030 | La prueba industrial confirma que el buildout es fÃsico |
| Cloud backlog | 1,3-1,4 billones | Los hyperscalers aportan financiación real al capex |
| Tamaño del ciclo | ~90 billones globales | El ciclo ya es demasiado grande para plantillas macro antiguas |
| Semis en el S&P | Mayor grupo GICS nivel 2 con ~10T | El capex AI está cambiando la estructura del mercado |
| Gasolina | Septiembre cerca de 87 | La presión inflacionaria puede convivir con crecimiento nominal |
| Anthropic | Run-rate potencial de 50.000M-100.000M | La escasez de compute se apoya en demanda real |
| Ciclo de cinco capas | Racks/packaging/fiber → quÃmicos → power → humanoides | El liderazgo deberÃa rotar por la cadena, no quedarse fijo |
â–º Resumen por capÃtulos
Setup: el rally es real, pero el benchmark del viejo ciclo sirve cada vez menos para leerlo. (0:00)
Visser abre señalando que el mercado sigue subiendo pese al ruido sobre una AI bubble. Dice que AI ya está elevando earnings, revisions, márgenes y PIB, aunque bajo la superficie sigan apareciendo señales de advertencia: financieras bajo la media de 200 dÃas, debilidad en software/private equity y la primera señal temprana cross-asset de su turbulence model. La idea clave es que los inversores todavÃa intentan leer un ciclo de capex AI con herramientas del viejo mundo.
La demanda industrial prueba que esto es un ciclo de capex, no solo una historia de múltiplos software. (9:00)
El backlog de 62.000 millones de Caterpillar es una de sus mejores anclas porque demuestra que la tesis AI se expresa en pedidos fÃsicos de equipamiento, especialmente generación eléctrica para data centers. Lo enlaza con los backlogs de hyperscalers y el peso enorme de semis en el Ãndice para defender que el mercado se mueve por capex real y necesidades reales de throughput, no solo por narrativa especulativa.
La inflación no ha desaparecido: energÃa, cultivos, fertilizantes y yields largos apuntan a un régimen más duro. (15:00)
Aquà recupera su analogÃa con los años 70. Suben los futuros de gasolina, mejoran los precios de exportación chinos, hay presión en crops y fertilizer, y tanto inflation swaps como yields largos se comportan mal. Su punto no es que desaparezca el crecimiento nominal, sino que puede convivir con inflación y breadth débil. Eso hace menos útil el confort del Ãndice y más valiosa la exposición temática bien elegida.
El nuevo ciclo de negocio está estratificado: primero semis, luego quÃmicos y power, después humanoides. (22:00)
Descompone el buildout de forma bastante explÃcita. Los ganadores de fase temprana están en racks, advanced packaging y optical fiber. A mitad de ciclo, los quÃmicos ganan importancia porque soportan packaging, tubing y otras partes de la infraestructura. Más adelante, power y eventualmente humanoids representan las siguientes olas. Este marco importa porque sugiere rotación del liderazgo a través del stack en vez de liderazgo permanente de un único subgrupo AI.
La escasez de compute ya es un input estructural, no un talking point. (30:00)
Visser insiste en que el mundo no tiene suficiente compute para atender la demanda actual. Al citar Anthropic, comentarios de Google Cloud y los flujos generales hacia modelos, convierte la escasez en combustible de la siguiente fase. Por eso sigue siendo constructivo con los nombres de infraestructura: la propia escasez mantiene el gasto alto, aunque también cree inflación y retrasos.
QuÃmicos y power semis están infravalorados porque demasiados analistas aún piensan como analistas de software. (39:00)
En el tramo final destaca quÃmicos, polÃmeros, inputs de advanced packaging y power semis como piezas menos obvias pero cruciales del stack. Sostiene que muchos analistas siguen trabajando con supuestos estáticos sobre márgenes y modelos de negocio que ya no encajan con el mundo AI. La conclusión práctica es clara: sobreponderar los sectores que monetizan directamente la ola de capex, mantener Bitcoin y Ethereum como parte del crecimiento digital y vigilar de cerca las zonas de breadth débil —como aerolÃneas o financieras— donde la inflación o la debilidad de demanda pueden golpear antes.
Generado con algoritmo v2.1-anchor-first · modelo openai-codex/gpt-5.4 · 2026-06-01T03:11:41Z
Transcripción
[0:07] still more calls for bubbles. I was at a
[0:10] an event in LA and in DC and in LA I did
[0:15] hear the bubble talk uh and I even heard
[0:17] people say that it's obvious that it's a
[0:20] bubble. So we'll go through um how the
[0:24] market's being driven basically only by
[0:27] AI. uh but that is driving earnings
[0:30] higher, revisions higher, margins to the
[0:32] upside and we're in the early stages of
[0:35] this. GDP is stronger on the back of AI
[0:38] and semiconductors are basically leading
[0:41] everything. And when you went go through
[0:43] the earnings reports, it's not just how
[0:45] strong things are. There are now
[0:46] trillions in backlog uh for future
[0:49] growth. So again, this is the early
[0:51] innings of the AI situation. Now we
[0:54] start to get into the warning signs that
[0:56] are showing up. We are going to have
[0:58] despite earnings growing, GDP going
[1:00] higher, there's always negatives that
[1:02] show up. In the beginning of the year,
[1:04] we had the negatives of software, which
[1:06] those stocks are still sitting near the
[1:08] lows of the year. Private equity, those
[1:10] stocks are still sitting at least close
[1:12] to the lows of the year. We still have
[1:13] financials under the 200 day moving
[1:15] average, which is downward. So, don't
[1:17] forget the negatives from AI will show
[1:19] up again. And now we have a lot of the
[1:23] next year's uh earnings already built in
[1:25] with the pees rising. I'll show some of
[1:27] that in stocks like Caterpillar.
[1:30] And we've got inflation and rates
[1:32] flashing early warning signs uh for
[1:34] subscribers. I did a webinar this week
[1:37] and just so you guys hear it, I uh I on
[1:40] the website I do have the turbulence
[1:42] model for the week. We finally saw our
[1:45] first uh signal in turbulence. Uh it's
[1:48] not a trigger point yet. It's just an
[1:50] early warning sign, but that's because
[1:52] we're starting to see a breakdown in
[1:54] some correlations across assets and also
[1:56] the breath is starting to uh break down.
[1:59] I go through the five layer cake
[2:01] framework and how you guys should be
[2:02] thinking about it. uh for those of you
[2:05] who are working with me on uh your
[2:08] portfolios and how to navigate through
[2:11] this particularly uh some of the wealth
[2:13] channels and the RAAS. Uh I'm starting
[2:17] to release stuff called benchmark
[2:19] arbitrage. Uh it's an opportunity for
[2:22] you guys to think about how you can
[2:24] navigate through this and still make the
[2:25] money because the benchmarks are
[2:27] completely wrong for the AI world. They
[2:29] are still built around a world of
[2:31] software and partly the industrial and
[2:33] the consumer-based economy which is gone
[2:36] right now because this is being driven
[2:37] by AI and it's going to stay that way
[2:40] because we're not creating jobs as
[2:41] nominal GDP is growing higher. So the
[2:44] traditional framework between
[2:45] manufacturing and service or
[2:48] manufacturing and the consumer has
[2:50] broken down and a lot of the stocks and
[2:52] a lot of the business cycles that you
[2:53] guys have been associated with. They're
[2:55] just not in there. So, I'll go through
[2:57] the AI business cycle and then I'll talk
[3:00] about chemicals uh and highlight. I did
[3:02] a spotlight report on one of the
[3:04] chemicals, but I'm also going to give
[3:05] you more details. There's a new report
[3:07] up and then I'll go through Bitcoin and
[3:10] Ethereum. So, here's the S&P all-time
[3:13] highs. Uh, no divergences. We've got the
[3:17] NASDAQ or the NDX, the Q's also just a
[3:21] violent move up to new all-time highs.
[3:23] Small caps new all-time highs for the
[3:26] month. the S&P one of the best months in
[3:28] the last 25 years. Uh basically it looks
[3:31] like uh number four in the last 25
[3:34] years.
[3:36] Uh I highlighted the growing risk that
[3:38] whenever we do have a recession, you get
[3:40] the six-month rate of change negative as
[3:43] the first warning signal. Uh we've now
[3:46] obviously gone back higher and we're now
[3:48] up 5%. The one thing I would say is uh
[3:50] historically when you've broken down to
[3:52] levels like this and then you get back
[3:53] above the market's usually fine. Uh so
[3:57] these are kind of midcycle warnings and
[4:00] I think that's where we are because I
[4:01] don't think we're going to have a change
[4:03] in the earnings growth and I don't think
[4:05] we're going to have a change any of this
[4:07] stuff uh related to AI just because of
[4:10] what I'll go through today. Uh Mike
[4:13] Wilson put this out. I think this was a
[4:15] just a good thing. Forward earnings in
[4:17] the S&P. Look at look at this
[4:19] acceleration. I mean this is not a small
[4:22] move. This is the trillions of dollars
[4:25] going into AI that is driving this
[4:27] particularly stocks like Micron and
[4:31] other semiconductors but also
[4:32] Caterpillar and things like that. Even
[4:34] the hyperscalers contributing to it.
[4:37] Median stock no different. Small cap no
[4:40] different. So you've got year-over-year
[4:41] earnings forward earnings continue to
[4:43] move higher. Warren Pies put this out
[4:45] and just said estimate growing faster
[4:47] than they did in the mid 90s or late
[4:50] internet bubbles. The boom is unique
[4:52] because it is not coming off an EPS draw
[4:55] down. And that's really the reality is
[4:56] that normally when we get this kind of
[4:58] acceleration, it's coming out of a
[5:00] recession where you've had earnings down
[5:02] and we've had job uh losses. This is all
[5:06] happening because of the capex boom
[5:08] that's going on which I'll go through.
[5:10] And over the last 15 years, analysts
[5:12] have typically revised EPS down by about
[5:14] 2%. This is the normal average over the
[5:18] 2011 to 25 period of EPS revisions as we
[5:21] go through the year. This is what's
[5:23] happened this time. So this is the
[5:25] reason why stocks are going higher.
[5:27] Margins continue to go higher. And if
[5:30] you want to look at it again, margins,
[5:32] same thing. Um, forward up here
[5:36] trailing. I mean, we're just talking
[5:38] about something that hasn't happened
[5:39] before. revisions which had started to
[5:42] eek down. This is overlaid with the PMI.
[5:45] We got the PMI number. It went sideways.
[5:47] Didn't shoot higher. Uh but I'll show
[5:50] some other things on this. But the
[5:51] revisions, this is uh this white line
[5:54] here is the 10-week average, but this
[5:56] was the most recent week. We're back
[5:59] right up. So, PMIs are going to remain
[6:02] strong. France put this out this week in
[6:04] LinkedIn and just highlighted that the
[6:06] regionals are very strong. We didn't get
[6:08] a follow-through. This is the new
[6:09] orders. category. We didn't get anything
[6:11] uh on the PMI, but the the breadth of
[6:14] the regionals is very strong. We got
[6:16] capital goods uh the core capital goods
[6:19] year-over-year just exploding higher
[6:21] associated again with a PMI close to 60
[6:24] and here are the PMIs. So, capital goods
[6:27] continue to be there. I still have a lot
[6:29] of people that are fading the economy
[6:31] and that's because they're focusing on
[6:33] things related to the consumer. Uh
[6:36] here's Caterpillar. I don't know how you
[6:38] look at arguably the most important
[6:40] industrial stock and not see that this
[6:43] is doing the exact same thing as what we
[6:45] just looked at. And this really started
[6:46] after liberation day. But to be honest
[6:48] with you, it started in the second half
[6:50] of the year. And as I go through things,
[6:51] this coincides with when DRAM went
[6:53] higher. This is when the data center
[6:55] buildout really started to kick in. It
[6:57] is still early in this guys and it's
[7:00] going to continue. uh in their earnings
[7:02] report. We ended the quarter with a
[7:03] record backlog with excellent visibility
[7:06] into demand over the coming quarters.
[7:08] Backlog now stands at 62 billion. I'm
[7:10] going to show you backlogs for the
[7:11] hyperscalers, but I think when you're
[7:13] getting into Caterpillar and you're
[7:14] dealing with this kind of demand, you
[7:16] can just take it another level. Strong
[7:18] demand for large power generation
[7:20] equipment used in data centers
[7:22] supporting AI was a contributor. The AI
[7:24] boom is spurring additional
[7:26] construction. We now expect sales of our
[7:28] power generation equipment to be roughly
[7:29] three times larger by 2030.
[7:33] We are closely monitoring macroecon. So
[7:35] the reason I want to bring this up guys,
[7:37] historically if you were seeing these
[7:38] types of things and this is what you're
[7:40] going to see people talk about, well
[7:41] this is a problem and we're going to
[7:42] have overbuild and all of these things
[7:45] that happen. Um which traditionally I
[7:48] would say make sense and that's why
[7:49] Caterpillar the orange line here is
[7:51] their PE ratio
[7:54] forward. So, they're trading at 36 times
[7:57] next year's earnings. The green line
[7:59] here, though, is Nvidia. So, Nvidia is
[8:02] at 10-year lows in their forward PE. The
[8:06] reason I want to bring this up is
[8:08] historically, if you get one of these
[8:10] scenarios up here, it's either coming
[8:12] out of a recession, uh, or it's some,
[8:15] this is after oil went down to 10 and
[8:18] then you start to move lower. I don't
[8:19] think this is going to happen this time.
[8:21] I think multiples are going to stay at
[8:22] higher levels for what they just said
[8:24] which is this demand is going to
[8:26] continue into 2030 and that's because
[8:27] it's being funded by the revenues that
[8:30] are happening with inside AI which you
[8:34] have to remember everyone who said we'll
[8:36] get no revenues and now the backlog for
[8:38] three hyperscalers is 1.3 trillion and
[8:41] we're running at an annualized run rate
[8:43] of 30 billion for
[8:46] uh for Anthropic and most estimates are
[8:49] 50 to 100 by the end of the year. The
[8:52] Cosby one of the important signs of this
[8:54] whole thing mainly because they have the
[8:57] semis uh in terms of memory but they
[8:59] have tons of electronic side in there
[9:01] and they also have the heavy equipment
[9:03] which I showed. So the Cosby is directly
[9:05] related to this buildout. There's the
[9:08] machinery component. So it's not just
[9:10] semis of the Cosby
[9:13] Hyperscalers made new high. This is
[9:15] equal weight again. It's kind of lagging
[9:17] and it's just up here, but Google had a
[9:19] move 10% move higher. Meta had a 10%
[9:21] move lower. I still believe shorting the
[9:24] hyperscalers as a way and being long all
[9:26] of the thematic portfolio I have is
[9:29] still going to work out extremely well
[9:30] going forward. Uh because that's the
[9:33] spenders and then on the other side you
[9:35] have the buyers now or the receivers.
[9:38] Here are the numbers for the cloud
[9:39] backlog.
[9:41] 400, 460, 400. Uh you're dealing with
[9:46] $1.3 trillion of backlog for these three
[9:49] companies, Amazon, Google, and
[9:51] Microsoft.
[9:53] That's revenue. Those are contracted
[9:56] dollars that right now they can't get
[9:59] because they don't have the capacity.
[10:02] And that's where the issue is right now
[10:03] is the shortage. Uh hyperscalers are
[10:06] absolutely crushing it right now. and it
[10:09] goes through all the different
[10:10] components. I'm only bringing that up
[10:11] again because it's very hard if you're
[10:13] going to have on the one side all the
[10:15] semis and all the the receivers going,
[10:17] but at the same point you have the
[10:18] hyperscaler showing that adoption is
[10:20] happening at a much faster pace than
[10:22] people anticipated. It's very hard for
[10:24] the market not to have strength when
[10:25] these components are doing well. The
[10:28] buildout is uh the beta. The
[10:30] hyperscalers are just kind of market
[10:33] performers this year. They're actually
[10:34] underperforming by a couple percent when
[10:36] you equal weight them. Uh so we're just
[10:38] in that scenario. I did do a market
[10:40] update video this week that the
[10:42] subscribers saw which went through just
[10:45] the warning signs, a lot of which uh fit
[10:47] in with what I'm going to show here,
[10:48] which is we had a breakout in unled gas
[10:52] futures. So this is this week. So if you
[10:54] haven't been paying attention, I know
[10:55] Iran's move to the back burner. Forget
[10:57] about it being about Iran and just think
[10:59] about it being a signal for inflation, a
[11:01] signal for future growth coming down.
[11:03] Those are the two things that
[11:04] historically will impact stocks. When
[11:06] you add in the fact that we've had a
[11:07] massive rally and people are very much
[11:10] in the market, you end up in the exact
[11:12] situ uh situation that normally causes
[11:14] an issue because now people are in the
[11:17] market and it might not be all
[11:18] institutions but you do have a lot of
[11:21] people in this is and again I showed you
[11:24] gas futures that was six month or
[11:26] September. This is September as well. So
[11:29] it's not just that we had a move higher
[11:31] in energy. it's that the back months are
[11:34] starting to go up, which means this
[11:37] problem is going to last longer, which
[11:38] means the inflation component, I mean,
[11:40] just look at where this is. Go back to
[11:42] the gas side. You're talking about now a
[11:44] significant move that if we're in
[11:46] September and we've got prices up around
[11:48] $87,
[11:50] you've got a bigger issue because now
[11:52] you're going to have this year-over-year
[11:53] CPI.
[11:55] And again, I've talked about it being
[11:56] above 4%. I think the risks are growing
[11:59] the longer the straight remains closed
[12:00] that this gets up even higher. Here is
[12:03] uh gas at the pump which shot higher
[12:05] last week. And again, this is a a a
[12:09] straight line higher. And yes, it does
[12:11] come at a time when we're seeing a
[12:12] straight line higher in profit margins.
[12:15] So that's where the offset is. But
[12:17] again, this reminds me a lot when you
[12:19] have nominal GDP going higher and
[12:21] inflation going higher. This is very
[12:24] 1970ish in terms of that side. Uh we're
[12:27] not creating jobs. We've got no job
[12:30] creation. We'll see what happens when we
[12:31] get into stuff next week because it does
[12:33] look like we could have uh a surprising
[12:37] number in the payroll side. If for no
[12:39] other reason, just the claims data plus
[12:41] the ADP weekly. We're not seeing that in
[12:43] the manufacturing PMIs. Their employment
[12:45] component went lower. Uh but it's just
[12:48] something to keep on. Diesel prices
[12:50] sitting near the high. So this is diesel
[12:52] prices across the country.
[12:56] the inventory side is is now at that
[12:58] point that people warned about and so
[13:00] all the energy side this is from Goldman
[13:03] Sachs is basically saying under the
[13:04] three scenarios of when it starts we're
[13:08] past late April uh so let's go to miday
[13:11] this is where they're saying the global
[13:12] inventories would be are likely to reach
[13:14] all-time lows even if the straight opens
[13:16] by late May um to show you how the
[13:20] market is not prepared for this I wanted
[13:22] to use Chevron uh on the weekly call I
[13:25] did mention that one of the places that
[13:27] I'm starting to add is in the chemicals
[13:29] and the energy which I believe will are
[13:32] are lower beta uh parts of this and the
[13:35] reason is because they're not part of
[13:37] the buildout. They're kind of midcycle
[13:39] to late cycle. I'll show that in terms
[13:41] of the AI side. The early cycle is
[13:43] really the semis, the optical fibers and
[13:44] all the stuff that went through it. But
[13:46] let's just take this as what it is.
[13:49] You've got this when oil was down here.
[13:53] Uh, and again, we're using September oil
[13:55] prices, which matters the most for the
[13:57] energy stocks. You were around 66 bucks.
[14:00] Well, now you're up at almost 90.
[14:05] Chevron's basically unchanged from where
[14:06] we were before the war. So, just
[14:09] remember that. Um, there's been a lot of
[14:11] movement. Oil's gone higher, but the
[14:13] energy stocks haven't. And again, I
[14:15] think that's because right now the focus
[14:17] for everyone trying to make money is on
[14:19] the stuff that's working on the long
[14:20] side and chasing all of these names
[14:22] which are related to the semiconductors,
[14:24] the optical fiber. All of the names that
[14:27] are in my thematic portfolio just
[14:28] continue to rip higher to all-time highs
[14:31] and that's what's driving the market.
[14:32] And I think the earning side has been a
[14:34] lot of the enthusiasm. But now that
[14:36] we're through the bulk of it, I think
[14:38] maybe you should worry about the things
[14:40] that I mentioned. And like I said, I am
[14:42] now getting more turbulence uh signals.
[14:45] If I get any intraweek this week, I will
[14:47] put them up. If I get any signal that
[14:49] says that just like we had in early
[14:51] February that we've hit a trigger point
[14:53] across assets where deleveraging starts,
[14:55] I will send that out as a special video
[14:57] update. Um airlines would be an obvious
[15:00] candidate for something to go on. And
[15:02] remember, they've fallen off and they're
[15:04] sitting here. So, kind of the opposite
[15:05] of the Chevron thing. Uh the airlines
[15:08] would be the number one risk. you start
[15:10] to see things and BFA put out this week
[15:12] that air travel travel has slowed
[15:14] substantially.
[15:15] Uh we'll see where this goes. But again,
[15:18] when you start getting into the price
[15:19] moves in the inflation side, you should
[15:20] see a demand response. We got the uh PMI
[15:24] this week and here was the prices paid.
[15:26] I mean, we're basically in stratosphere
[15:28] levels associated with, you know, oil
[15:31] was up at 155 during here before the
[15:34] great financial crisis and then
[15:36] obviously we had the shutdowns and
[15:37] before that. It's very hard to find
[15:39] times where you get prices paid in there
[15:41] at these levels. Uh China,
[15:45] there's all kinds of stress going across
[15:47] there. Exporters are raising prices on
[15:49] swimsuits, skiuits. Basically, all the
[15:52] Chinese exports are starting to show it.
[15:53] Fuel inflation's about to hit the
[15:54] kitchen table. We've got crop prices
[15:56] that are breaking out. So, the futures
[15:59] are finally starting to move. their late
[16:01] cycle of the inflation side related to
[16:03] oil as the fertilizer prices are higher
[16:06] and then the crop prices eventually go
[16:08] higher. So you should start to see that
[16:10] um this will be the next uh I'm always
[16:12] looking for the next fear-mongering
[16:14] thing of you know scaring people and so
[16:18] now we've got not only the fertilizer
[16:19] issue from the gas but they're
[16:21] forecasting the strongest El Nino in 150
[16:25] years with droughts and all kinds of
[16:28] things. If we get any of that, just
[16:30] remember again, you're looking for
[16:31] things with inside the market that could
[16:33] have an issue and cause the next wave.
[16:35] And I do think this is the 1970s, so I
[16:37] think you have to focus on the
[16:39] government is shoving money in the
[16:41] system. We're growing. And even though
[16:43] we aren't creating jobs, if we start
[16:45] creating jobs, then I think they have to
[16:47] build rate hikes in. As of now, we've
[16:50] started to build in some rate hikes or
[16:51] at least one into next year uh after
[16:54] this week. But I think we have to pay
[16:56] attention. the inflation swaps. This was
[16:59] another part of the warning part of the
[17:00] video. I mean, we're we're moving
[17:02] higher. Um, last time we were at these
[17:04] levels, we had CPI
[17:07] kind of uh where you'd associate up here
[17:10] the fears of us getting back in the four
[17:12] or five handle. So, I think the
[17:13] inflation swaps are going higher and
[17:15] long-term yields, they're contained in
[17:17] the US. This chart just looks like
[17:19] eventually it's going to break higher.
[17:20] Um, 5%. Michael Hartnik came out and
[17:23] said that's where he expects uh problems
[17:25] to be. The government's been trying to
[17:26] keep this below 5%. Obviously, you've
[17:29] got the housing issue. If you get above
[17:30] five, well, right now, 30-year yields
[17:32] are sitting just below five and 10ear
[17:34] yields still sitting in this triangle
[17:37] formation. Uh, again, I think you have
[17:39] to watch this. That would be a risk that
[17:41] would come and we already have it
[17:43] spreading. So, this is 10-year JGB
[17:45] yields, which have broken out to new
[17:47] highs. Uh, we also have guilt. So,
[17:50] 30-year UK yields have broken out to new
[17:53] highs. Uh,
[17:56] the breath is bad. This is one
[17:58] measurement. Goldman Sachs warned about
[18:00] this. I think it's a good one. The
[18:01] median stock is currently still 13%
[18:04] below its 52- week high. Uh, there are
[18:08] about 50% of the S&P stocks that are
[18:10] that are down on the year. So, despite
[18:12] the all-time highs, it's not being seen
[18:15] with a lot of contribution. Uh this was
[18:19] an interesting one just because the
[18:21] NASDAQ 100 closed up more than more than
[18:24] half a percent. Fewer of the 29% of the
[18:27] stocks uh ended up being up last time
[18:31] that happened has not happened at least
[18:32] 20 years. These are all from Jason Gford
[18:35] and I think he does a good job of just
[18:37] highlighting when you get these issues
[18:38] of breath. On Monday the S&P closed at a
[18:41] record high. The next day at least 1%
[18:43] more stocks hit a 52- week low than
[18:45] high. Uh that is also not normal. just
[18:47] shows it's being led by very few
[18:50] companies and more importantly it's
[18:52] probably being led by a lot of small and
[18:53] midcap names uh in terms of what you're
[18:56] seeing on the screen and inside the S&P
[18:59] it is a lot of the names that are
[19:01] related to the semis and uh
[19:03] infrastructure side financials as I
[19:05] mentioned still below they've tried to
[19:08] work higher but they've stayed below
[19:11] and I just want to bring this up because
[19:13] this is where I think the issue is going
[19:15] to be before the the end of the year. Uh
[19:18] Elon Musk warns the US could soon be
[19:20] producing more chips than we can turn on
[19:22] and China doesn't have the same issue.
[19:24] So he said this um at the World Economic
[19:26] Forum at the beginning of the year. He
[19:28] said it on moonshots. I've reported it
[19:30] twice. This is becoming more and more of
[19:33] a reality. So early cycle, you hoard and
[19:37] buy as many chips as you possibly can in
[19:41] expectation of what you're going to
[19:42] need. And as the compute is ramping up,
[19:46] everyone's buying more because there's
[19:48] more compute that's needed. But again,
[19:50] we don't have the compute right now. So,
[19:52] we're starting to run into issues and
[19:55] semis have just accelerated. So, I just
[19:58] wanted to make sure that we get into
[19:59] this point of where we are. Uh, if
[20:02] you're not invested in semiconductors,
[20:03] they are now the biggest
[20:06] level two gick in the S&P at 10
[20:08] trillion.
[20:10] uh media, software, tech,
[20:14] diversified financials, and again, this
[20:15] is level two, so it strips it out. And
[20:18] this is why when you're looking at tech
[20:19] and how tech is driving everything, it's
[20:21] not tech that's driving everything, it's
[20:23] semis, which happen to be in tech when
[20:25] you have a level one gick. When you
[20:27] separate them out, semis are the biggest
[20:29] contributor. And if you don't have a big
[20:31] waiting in them and again if you equal
[20:33] weight this it's even bigger because of
[20:35] that 10 trillion about half of it is
[20:37] Nvidia which is one of the worst
[20:39] performing of the semis this year. So
[20:42] this is being driven by the other semis.
[20:44] This is something uh I presented at the
[20:48] event in California. So the prior 15
[20:51] years was about your margin is my
[20:53] opportunity. The next 15 years is about
[20:56] your capex is my opportunity. And this
[20:59] is the five layer cake that Jensen Yuang
[21:01] speaks about for the $90 trillion. This
[21:04] is why this won't stop, guys. It's being
[21:06] funded by these companies that were the
[21:09] B that made all the money. So everyone,
[21:11] Meta, Tesla, Amazon, Google, just go
[21:15] through the list. They are the ones
[21:16] funding this buildout, $90 trillion.
[21:20] Now, it's also going to involve Morgan
[21:22] Stanley, Goldman Sachs, Eli Liy, Merc,
[21:24] all of the big companies that need AI
[21:27] are also going to be funding this
[21:28] because they're going to need their own
[21:29] data centers as well. That's why the 90
[21:32] trillion is just the beginning. We've
[21:34] only started this. So, this is where you
[21:36] want your portfolio to look like. The
[21:38] problem is the way the portfolios are
[21:40] set up, these are the heaviest weights,
[21:42] the spenders. So for you RAAS that are
[21:45] looking for what you need to do, this
[21:47] needs to be a higher waiting than what's
[21:49] actually in the waiting. The business
[21:52] cycle has changed. So this is what
[21:54] everyone looks at. This is what had
[21:56] historically happened. What you're
[21:58] seeing right now is it doesn't matter if
[22:00] oil goes higher. It doesn't matter if
[22:02] the Fed doesn't cut rates, which had
[22:04] been expected. It doesn't matter if jobs
[22:07] aren't being created. The money is still
[22:09] being spent. And there's a new cycle
[22:11] that's happening. The early cycle is the
[22:12] semiconductors. The midcycle is the
[22:14] power, the data centers. We have to get
[22:16] this done. So, you're starting to see
[22:18] the transports go higher. And that's
[22:20] because now we're finally in the
[22:21] buildout stage. They've hoarded the
[22:22] semiconductors. And as Elon Musk said,
[22:25] if this doesn't come in, we got a
[22:27] problem. Well, once we finally do start
[22:29] getting this built out and we actually
[22:30] can meet some of those RPOs, which is
[22:32] going to take another year, two years,
[22:35] then we'll start getting into the late
[22:37] cycle, which will be the humanoids. This
[22:40] is when AI will be the strongest and
[22:41] this when we will start solving
[22:43] problems. This is why I'm writing a
[22:45] paper on the benchmark is late. The time
[22:48] where this matters is when I talk about
[22:50] the supersonic tsunami. When something
[22:54] changes rapidly, you end up with an
[22:57] obvious benchmark arbitrage. So
[22:58] benchmark arbitrage for traders ends up
[23:01] being the ad deletes uh around the
[23:03] Russell or the S&P. But this one is
[23:06] different. The benchmark is completely
[23:09] waited improperly for the future. Um, a
[23:12] lot of the winners back here, if we go
[23:15] back into the Dan Ies and Kathy Wood of
[23:18] what they've brought to the retail and
[23:20] the RAIA world, a lot of that has the
[23:22] software companies in there because
[23:24] those were the winners of the past
[23:25] cycle. This is a nontech story. That
[23:30] thing I showed you, semiconductors,
[23:32] those are not pure tech. We have they're
[23:34] hardware. We've got the hardware names.
[23:36] We have the commodities. All of this is
[23:38] a different story. Chemicals, those are
[23:41] not thought of as AI names, but they
[23:43] are. So again, here's the breakdown of
[23:45] the way that I did the five layer cake
[23:47] specifically for this. You have the
[23:48] rack. So up here, the rack, the pack
[23:52] advanced packaging is the best one. And
[23:54] then uh you've got the optical. So these
[23:58] three are the early cycle. This is what
[23:59] was hoarded. You had the deals with Meta
[24:02] buys six billion of Corning's fiber.
[24:06] You've got all these deals that Jensen
[24:08] has done with both optical fiber,
[24:10] coherent, light, but also Marll. All of
[24:13] these different places are the semi
[24:15] side. Then when you move down here, this
[24:17] is the chemicals. So chemicals have had
[24:19] a good run. And I'm going to go through
[24:21] the chemicals in more detail because
[24:22] they're a big part of this on both the
[24:25] tubing side for the fiber and also the
[24:28] advanced packaging. The issue is these
[24:30] guys are more midcycle. They're a little
[24:31] bit more steady. So this is lower vault.
[24:33] And then you have the power side. The
[24:35] power side does include Exxon and
[24:36] Chevron and Bloom Energy, but it also
[24:38] includes a bunch of different components
[24:41] and then some things that I think are
[24:42] going to be brought into the mix related
[24:43] to batteries. So, those are the reasons
[24:46] why I've chosen the five. And here's the
[24:47] S&P. So, if you're overweight these by
[24:50] even 10%
[24:52] and you're reducing the S&P by 10%.
[24:55] You're getting an outperformance. And
[24:57] this is what people need to do. This is
[24:58] why I'm starting to do swaps with
[25:00] clients so that they have the ability to
[25:02] invest in this stuff. This is just an
[25:04] important thing and the reason that I've
[25:05] set up those thematic portfolios for you
[25:07] guys. Um here is all of them as a
[25:10] thematic uh the thematic basket as a
[25:12] portfolio and I just wanted to highlight
[25:14] the white line here is the S&P. The
[25:16] yellow line here is the hyperscalers.
[25:18] They've still underperformed the S&P and
[25:20] then you have software. This is the way
[25:22] the world is weighted today. That's why
[25:24] the S&P's d is dragged down here. A lot
[25:26] of these names are in the midcap, small
[25:28] cap and overseas. That's why you've seen
[25:30] the US underperform international over
[25:33] the course of the last uh 16 months.
[25:36] Uh I've been pounding the table over and
[25:38] over again as this AI agent mega trend
[25:41] moves. So again, when you're looking at
[25:42] these parabolic moves, including the
[25:45] hyperscalers uh and anthropic, it's all
[25:49] because of AI agents. This all changed.
[25:51] And again, this is why on the one side,
[25:53] why did software get killed? Because of
[25:55] Opus 4.5. Why did all of a sudden the
[25:57] adoption start to increase? because of
[25:59] Opra's 4.5 because that's when the
[26:00] agentic world took over. This is not
[26:02] some speculation. This is triggered by
[26:04] an actual event and that is the reason
[26:06] why my thematic portfolio has gone
[26:08] straight up because it is geared towards
[26:10] the agent world. The thing I will say is
[26:12] that has just started. So, are we going
[26:15] to have corrections and will it stay
[26:16] this parabolic? No, we'll have
[26:18] corrections of course. The issue is for
[26:20] people that are looking for corrections,
[26:22] these numbers are just going to
[26:23] accelerate. We barely have that much
[26:25] adoption happening. It's going to
[26:27] increase dramatically. And if you think
[26:29] about where Anthropic is today and
[26:30] they're forecasting 50 to 100 billion by
[26:33] the end of the year and they're at 30,
[26:36] that's a compounding number. We are
[26:38] going to continue to have excess demand
[26:41] because as OpenAI said this week,
[26:43] there's not going to be enough compute
[26:44] in the world to meet the demand. So
[26:46] think about all of the people, Michael
[26:48] Bur, the people that wrote all of these
[26:51] papers about how it's a bubble. Just go
[26:53] back and think about it. That was six
[26:55] months ago. So, how could people be
[26:57] invested in here? I still hear people
[26:59] saying they've seen a bubble. They know
[27:00] what a bubble looks like. This is a
[27:01] bubble. Open eyes revenue chief says,
[27:03] "Enterprise business is accelerating." I
[27:06] have used chat GPT 5.5 more than Claude
[27:10] for this entire week while I was in LA.
[27:12] It is a phenomenal model. All of the
[27:15] visuals and the images you're seeing
[27:16] were done by by GPT5. All the new ones.
[27:20] I only used Nano Banana for about nine
[27:23] months. I have not used Nano Banana once
[27:26] because this imaging is off the charts
[27:28] compared to that and this is by far the
[27:30] smartest the most intelligent by far
[27:34] model that I've used. Um Thomas Curran
[27:38] the CEO of Google's cloud Google cloud
[27:41] regarding compute I think for the next
[27:42] 10 years there will always be more
[27:44] demand than supply.
[27:46] Take a picture of it save it before you
[27:49] go to bed every night read it again.
[27:51] This way you don't make the mistake of
[27:53] listening to the people who will
[27:55] continually tell you that there's a
[27:56] bubble being thrown. Some White House
[27:58] officials also worried that Enthropic
[28:00] wouldn't have enough access to compute
[28:03] to serve that many more entities. So the
[28:05] question that's becoming there when you
[28:07] see the benchmarks of 5.5 it's pretty
[28:10] much right on Mythos. So the question is
[28:13] was this advertising for Mythos? Was
[28:16] this a slowdown because they didn't have
[28:18] enough compute and they wanted to get
[28:21] some positive press out of this to say
[28:23] they're I'm going to go with the latter
[28:26] for sure. Uh why Google and Amazon are
[28:29] betting billions on anthropic. These
[28:31] deals are as much about compute and
[28:32] infrastructure as they are about
[28:33] capital. I don't think they have enough
[28:35] compute for what's going on. Uh just
[28:37] talked to a lab with a war chest balance
[28:39] sheet. They are actively cont actively
[28:41] contract compute across all major clouds
[28:43] in Neos. No one has any material
[28:45] capacity coming online between now and
[28:48] September. Hourly compute pricing is
[28:50] going much higher in the coming 5
[28:52] months. The cost of compute is far
[28:55] beyond the cost of the employees. Nvidia
[28:57] executive says right now, this was this
[28:58] week.
[29:00] I was quoted a couple times in the
[29:01] Atlantic article. Here we go.
[29:04] We went from AI is a bubble to there is
[29:07] not enough compute in the data centers
[29:09] in less than six months.
[29:11] It's agents. Uh here's the chart of
[29:14] those RPOS again. Just look where it
[29:16] started. Opus 4.5.
[29:20] Looking ahead, the strong results
[29:22] reinforce our conviction to invest the
[29:24] capital required to continue. Anyone who
[29:26] is worried that the capex won't come.
[29:30] I just showed you how much they are
[29:32] behind. The capex is not only coming, it
[29:36] will continually be revised higher.
[29:40] Capex consensus. Just looking at all of
[29:43] these numbers,
[29:45] if you think for a second we're near the
[29:47] end of this, um I will say I overheard
[29:50] commentary uh with people hedge funds at
[29:54] this event, major pension event, and
[29:56] just listening to the conversations, the
[29:58] number one reason that this is an
[30:00] overbuild now, is because magically
[30:03] we're going to come up with some
[30:06] efficiency gain that will allow I I
[30:10] don't know how you can look at these
[30:11] charts and not realize there's no such
[30:13] thing as an efficiency game which will
[30:15] stop this. In fact, what we have had
[30:18] only over the last three years is
[30:20] efficiency gains. That's all we've had.
[30:23] We've been able to use the compute we
[30:25] have and get the progress faster. And
[30:27] now the adoption is kicking in. And the
[30:29] adoption is kicking in because the
[30:31] agents are here. The agencies far more.
[30:34] So we're going to be constrained. So go
[30:36] back to the benchmark arbitrage.
[30:38] you're if you're thinking that this is
[30:40] an overbuild and you're using history,
[30:42] then you're using the industrial
[30:43] consumer cycle to make a decision on
[30:45] what's going on. And that includes
[30:47] the.com bubble, guys. The.com bubble was
[30:50] a quarter of a century ago
[30:53] before the iPhone. Do not listen to the
[30:57] bubbleheads.
[30:59] Severe shortages of Taiwan semis. Most
[31:01] advanced processes are pushing an allout
[31:03] effort to build blah blah blah. Taiwan
[31:05] semi one of the constraints. If you guys
[31:07] haven't drawn the map on it, you got
[31:09] three end results of what we need. We've
[31:12] got Intel, we've got Samsung, and we've
[31:14] got Taiwan Semi. Uh Elon Musk basically
[31:17] bought up all of Samsung's production a
[31:19] year ago, or not even a year ago, and he
[31:21] now is out there doing terapab because
[31:23] he realizes we're not going to have
[31:25] compute ever. Again, I can say it over
[31:27] and over again. We are not catching up.
[31:29] Semis are going to be needed. This is a
[31:32] completely unique situation now.
[31:36] Nvidia's stock has been able to go
[31:37] higher while I just want to highlight
[31:40] how much the multiples have gone down.
[31:42] So, at the end of this month, we'll get
[31:43] theirs. But I would say at this point,
[31:46] no one believes the compute story
[31:48] because Nvidia has gotten cheaper and
[31:50] cheaper and cheaper. This week, the
[31:54] White House admitted we are in trouble
[31:55] with compute. So they're putting in
[31:58] section 303 of the Defense Production
[32:00] Act to help with grid infrastructure,
[32:02] equipment, and supply chain capacity
[32:04] because we are falling behind China and
[32:06] we don't have enough compute. They don't
[32:07] want to use anthropic because we don't
[32:09] have enough compute. Uh US spending on
[32:12] power plant equipment expected to triple
[32:14] through 2030s. Again, power is the base
[32:18] of the five layer cake. Uh the Compass
[32:21] data center is pulling out of Virginia.
[32:25] We still have bottlenecks going on that
[32:27] are preventing this and it's going to be
[32:29] an election issue in the midterms.
[32:30] Voters do not want AI and they do not
[32:33] want data centers. Uh I released this
[32:36] this week on the power of semiconductors
[32:38] as the next scarcity trade.
[32:44] It was a reminder that this is the
[32:45] report I put up last week into the
[32:47] subscriber level about the edge as we're
[32:50] getting into and that power semis were
[32:52] in there. You got six companies uh that
[32:54] I highlighted in there. Uh this came
[32:57] out. Lead times for power semiconductors
[32:59] have become extremely stretched because
[33:00] of AI servers. Again, the reason that
[33:03] the power semiconductors are so
[33:06] important is because they fit both
[33:09] inside the edge side and the power side.
[33:12] This is really important from the
[33:14] efficiency, from the thermal, all of
[33:15] these different components. And here's a
[33:18] chart of those six names. um
[33:23] that I put out in the power semis that
[33:24] are in that report. So, there's two
[33:26] things I want you to look at. Yes, it's
[33:27] gone completely parabolic over the
[33:29] course of the last two weeks. But
[33:30] secondly, it just broke out of a 5-year
[33:33] high just now. So, massive up week
[33:37] again, but again, it just broke out.
[33:41] Now, here's chemicals again, midcycle,
[33:45] late cycle, whatever you want. Um, this
[33:48] is the European chemicals overlaid with
[33:50] one of those power semis. Texas
[33:52] Instruments which just broke out. If I
[33:53] showed you the the power semis, it would
[33:55] look very similar. Chemicals will go up
[33:59] with power semis. They fit into the
[34:01] exact same side. So, as a reminder
[34:03] again, back to the themes. Here are the
[34:06] the power names. Here are the chemical
[34:07] names. You want to be focused on the
[34:10] late cycle part. Uh, this is a report I
[34:13] just put up uh this weekend. You guys
[34:15] can see it already. Uh, the chemical
[34:18] layer of AI. I go heavily into the 17
[34:21] names, which I did as a thematic
[34:23] portfolio, but now I go one by one just
[34:26] like I did for the Kentucky Derby
[34:27] handicapping. Uh, and this breaks them
[34:30] down by exposure scores for early, mid,
[34:32] late timing, and the investment logic
[34:35] behind both. Again, these are not
[34:38] suggestions on which ones to buy. Same
[34:40] thing as when I release a spotlight on
[34:43] Integris. This is not a timing thing,
[34:45] but these are ones that to me are going
[34:47] to benefit the most over the course of
[34:49] the next few years. I'm not trading
[34:51] these things, but I'm buying them. I
[34:53] bought Integris this week after this
[34:55] report came out after the earnings
[34:57] knocked the stock down. Uh I bought the
[35:00] stock at that point and I will continue
[35:02] to look for particular names in there.
[35:04] Camores is another name within there
[35:06] which I've said to many of you I thought
[35:08] would double this year. Well, we're
[35:10] almost there. Uh I think we're up 50.
[35:12] Now, we might be close to double now at
[35:14] this point, but uh I still think it has
[35:16] a ways to go. All of these names on the
[35:19] chemical side are involved and you've
[35:21] got advanced packaging and you have the
[35:24] optical fiber and the tubing side and
[35:26] the polymers. My argument on this stuff
[35:28] and what I'm writing a report on is on
[35:30] the energy intensity for chemicals at
[35:33] this stage of AI instead of oil. Oil
[35:36] does not have the same importance in
[35:38] today's world for a variety of reasons.
[35:40] But one of the major things is how
[35:41] chemicals to me are going to become far
[35:43] more important because the size of the
[35:45] terra fabon
[35:47] Musk wrote out the amount of chemicals
[35:50] needed that is not an oil trade. So when
[35:52] you're building these things you're
[35:54] taking a lot. So the chemical side to me
[35:56] is a major theme that will be in a
[35:57] long-term bull market. Compound and
[36:00] friends had a great interview this week
[36:01] with my boy Adam
[36:04] uh Parker and uh I thought he did a
[36:07] great job. I just want to highlight some
[36:09] of the things that he said.
[36:12] He basically said here's the sequence he
[36:14] laid out from the opening software
[36:16] discussion. So first the market
[36:18] compresses the multiple. That's what we
[36:19] did. The market cuts the valuation first
[36:21] then the fundamentals start
[36:23] disappointing. What usually happens next
[36:24] is an earnings mess. He says analysts
[36:28] still have models that assume things
[36:29] like roughly 80% gross margins similar
[36:32] margins in 27 28 29 very little
[36:34] structural change and profitability. His
[36:36] argument that those are too static for
[36:38] an AI disrupted world after earnings
[36:40] misses come sales misses. Multiples
[36:43] contract then earnings miss then
[36:44] eventually sales miss. Why would earning
[36:46] why earnings would break first margin
[36:49] pressure before revenue pressure? His
[36:52] reasoning is that software companies may
[36:53] need to spend more to stay competitive
[36:55] in AI. Um, regardless of your view on
[36:58] this, you have to really start to
[37:00] remember this gets back into that
[37:01] benchmark arbitrage. If you're long the
[37:04] S&P 500, you are long Salesforce.com and
[37:06] Adobe and all of these companies as a
[37:09] much higher weight than the future says
[37:11] they should be. If for any reason these
[37:13] things were disrupted to the manner they
[37:15] are, you would see a very, very large
[37:18] fall. I didn't include this in this
[37:20] week's video, but Novel Ravocant, who I
[37:22] really enjoy. He has a podcast, I
[37:24] believe it's novel, um, he talked about
[37:27] Apple in a very similar way. He was very
[37:29] negative on Apple, and he basically
[37:31] talked about a lot of the things that
[37:32] have to do with terminal value. We are
[37:34] at a massive AI disruptive phase. The
[37:37] certainty is that we will need more
[37:38] power. We will need more optical fiber.
[37:41] We will need more compute.
[37:44] We don't need software companies the way
[37:46] we did. We don't need a company like
[37:49] Apple for the infrastructure as this
[37:51] changes unless they can find a way to go
[37:53] through this. Novel was very strong in
[37:55] this. I find him to be one of the most
[37:57] clear-headed thinkers on any of this,
[37:59] not making uh bombastic comments. You
[38:01] should go listen to it. I thought it was
[38:03] very good. Um here's IGV versus the S&P.
[38:06] So if this was like last year out of
[38:09] Liberation Day, you would have seen
[38:12] software trade with its normal beta. So
[38:14] here it is the collapse. everyone who
[38:15] told you we got to go in here, we got to
[38:17] buy these. This is wrong. Every single
[38:20] tech person, and I'm not going to go
[38:22] through the names anymore, that said
[38:24] this is a mispricing, this is panic.
[38:26] Well, now you've had a fall, you've had
[38:28] a rally. Adam Parker's right in my
[38:31] opinion.
[38:33] Uh what he said on semis for Adam
[38:35] Parker, he thinks investors
[38:36] underestimate how much estimates were
[38:38] wrong. And again, that's the point.
[38:39] That's the only way you can have Nvidia
[38:42] at the multiples it is. and Micron
[38:44] Micron the multiples were just wrong. So
[38:47] the fact that it still trades at a 5p
[38:49] off next year's earnings and you've had
[38:50] a massive beat, Micron's too cheap. And
[38:52] he makes his argument specifically on
[38:54] this. He thinks Micron is a perfect
[38:56] example of why it makes sense. Something
[38:58] like four and a half times next year's
[39:00] earnings. The product is in shortage.
[39:02] Earnings are being revised sharply
[39:04] higher. Micron is not a meme behavior.
[39:06] It is the market repricing to a much
[39:08] stronger earnings path. Again, benchmark
[39:10] arbitrage. Do not listen to the bubble
[39:12] talk. Bitcoin to finish off. Um, all
[39:16] right. The MACD. We're despite it being
[39:19] boring and having really no movement.
[39:22] Remember, we're just getting these MACD
[39:24] weeklies. We're just breaking through
[39:26] some resistance. We've had now one week,
[39:29] two week, 3 week, four-w week, and then
[39:32] this week kind of finished around where
[39:35] we are. Um, meaning we're up at uh we're
[39:38] getting close. We're unchanged from last
[39:40] week. We are trying to move higher and
[39:42] we're coming from a level that normally
[39:44] would be explosive when it finally does
[39:46] go. Uh Anthony Pompiano on our weekly
[39:49] this week did mention something in
[39:51] talking to someone about Korea. Korea
[39:53] which is a major trading hub and
[39:56] especially for Bitcoin. Uh this seems to
[39:58] be an issue. So this is the Asia growth
[40:01] story and basically this is Bitcoin
[40:04] overlaid with it. Right now everyone in
[40:06] Korea and Asia is trading the AI trade.
[40:08] Bitcoin has lost interest, but the good
[40:11] thing is it's found a way to move from
[40:13] 60,000 up to 80,000. Well, that's a 33%
[40:17] rally from the lows. So, it is moving.
[40:20] Uh, it's doing better than software.
[40:22] It's doing better than the Asian growth
[40:23] story. If for any reason we start to see
[40:25] any turn in these things, maybe we can
[40:28] get it higher. But then again, like I've
[40:30] said, my trigger point is the fact that
[40:31] I think CPI is going above three-month
[40:33] yields. The Fed's not going to be able
[40:35] to uh raise raise rates or cut rates,
[40:39] whatever you want. We're going to be
[40:40] stuck. You're going to have a new Fed
[40:42] chair who's coming into the most
[40:44] dislocated situation. You got PAL
[40:46] staying on board. This just argues for
[40:48] just chaos going forward and a period
[40:51] where they're going to run it hot with
[40:52] rates at lower levels and inflation up
[40:54] at higher levels. We get anything on the
[40:56] jobs picture that moves uh long-term
[41:00] rates higher. Short rates can't go
[41:02] higher. The Fed's not raising rates, so
[41:04] we'll see what happens. Uh, but I would
[41:06] keep it in. Clarity Act, some positive
[41:08] news. Also, that could be a very big
[41:10] catalyst for this. What really needs to
[41:13] happen is retail needs to just jump on
[41:14] board. And if they do jump on board, go
[41:17] through. I mentioned that I bought Micro
[41:19] Strategy calls uh into the end of the
[41:21] year. I wasn't targeting short term
[41:24] because I think this could take a little
[41:25] bit longer, and I'm targeting when
[41:26] inflation gets above three-month yields.
[41:29] But PMIs are moving higher. three-month
[41:31] yields are stuck where they are. The
[41:34] Fed's not move. I think all of these
[41:35] things gone. Um on that same podcast
[41:37] with Adam Parker, uh the other person
[41:43] I I brought this up just because I
[41:45] thought it was really interesting that
[41:47] you're starting to see a change and I
[41:49] believe that Ethereum is the main
[41:51] important story for the rest of the
[41:53] year. If the Clarity Act does go through
[41:54] and as I show you, there are positive
[41:56] developments that are happening on
[41:58] stable coins and you're starting to get
[42:00] more and more people talk about Ethereum
[42:02] because
[42:04] there is a way to value it. The usage of
[42:07] the network is what creates value. All
[42:09] of these things in here, programmable,
[42:13] so you get into the coding side.
[42:14] Everything with Ethereum gives people a
[42:17] chance to use discounted cash flow. And
[42:18] in a world where growth assets are dead,
[42:21] I will say this to RAAS again. And I
[42:23] will say this to the mutual funds that
[42:24] watch this. You guys that are
[42:26] benchmarked,
[42:28] Ethereum and Bitcoin need to be part of
[42:30] your portfolio and they need to be part
[42:31] of your growth asset basket uh or
[42:33] allocation. Uh, I wrote this in Substack
[42:36] about killing the float, the pro
[42:38] beginning of programmable, programmable
[42:41] money and the new financial guard rails
[42:43] where this goes through the Door Dash
[42:45] decision
[42:47] uh, and their decision to basically take
[42:49] stable coins in and what this means and
[42:51] how this is different than the legacy
[42:53] system which took forever and how the
[42:56] new codebase system of programmable
[42:58] money has started. Here's the Ethereum
[43:01] chart. We keep running into this 200
[43:04] week moving average. Uh we've broken the
[43:07] downward trend line, but until we again
[43:09] I've said it before, until we're above
[43:11] 2400, in this case that line is 2456. I
[43:14] want two closes above that level. Uh
[43:17] we've got a buy signal down there, but
[43:18] right now we haven't gone anywhere. Uh
[43:22] and that's it for this week, guys. So, a
[43:24] lot of stuff in there. Uh thanks to
[43:27] everyone uh who saw me in LA in DC. I
[43:30] appreciate it. For those of you who want
[43:32] more details on any of the stuff here,
[43:35] uh just go to the website for uh 22V.
[43:38] And if you want, if you always look in
[43:40] YouTube, I put the link in there that
[43:42] you go directly to the website and see
[43:44] some of the stuff on the subscriber
[43:45] lists. See you next week.