Jordi Visser / VisserLabs

Alto el fuego, inflación, Mythos y una apuesta revolucionaria por la escasez frente a la abundancia — Jordi Visser (12 abril 2026)

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Completo 46:31 min youtube 2026 Semana 15 12 Abr 2026 🇪🇸 ES
TL;DR
Resumen de investigación

▶ Tesis de escasez y señales distintas bajo el rebote del mercado

El presentador dice que evitará usar el S&P 500 como guía para decidir si el mercado subirá o bajará, pues cree que ese juego puede perjudicar a los inversores este año. Espera un entorno parecido a los años setenta, con inflación, y plantea que invertir en inflación requiere lo contrario de la estrategia reciente: una operación de escasez frente a la de abundancia. Afirma que el crecimiento de las acciones y el valor terminal de algunas empresas se deterioran, y anticipa hablar más de Bitcoin. Retoma una tesis que viene exponiendo desde octubre o noviembre: tras Opus 4.5, la aceleración de la IA amenaza al software; favorece una cartera vinculada a PMI crecientes, materias primas, hardware escaso y demanda insaciable de cómputo, así como a la actualización del mundo físico mediante IA. Considera que esta transformación apenas comienza y que la incertidumbre sobre el futuro del software hace difícil confiar en él, mientras que la tesis de hardware y materias primas le parece más clara. Tras cinco semanas a la baja, el S&P rebotó y recuperó terreno, pero el presentador espera oscilaciones entre subidas y bajadas, no una repetición del avance del año anterior. En su comparación sectorial, energía, materiales, industriales y servicios públicos representan la escasez; ve a software y, en parte, al sector financiero —por su exposición a software y crédito privado— del lado de la abundancia en retroceso. Señala que, mientras el S&P rebotó, IGV marcó nuevos mínimos y el capital privado no repuntó; concluye que el rebote no resolvió esos problemas y que no ve un piso claro para ellos.

▶ Inflación, energía y riesgos para las expectativas

El presentador sostiene que los activos ligados al software y al capital privado cotizan por debajo de sus niveles al comienzo de la guerra y que sus problemas siguen desarrollándose; aconseja no intentar adivinar sus mínimos ni apostar por la dirección del S&P. Recomienda centrarse en la inflación y la escasez. Interpreta el rebote del índice como cobertura de posiciones cortas y compras de estrategias sistemáticas tras un cambio político y un anuncio de alto el fuego; cree que la volatilidad hará más difícil el año para esas estrategias que el avance relativamente uniforme del año anterior. Compara las revisiones de beneficios: tras el Día de la Liberación del año anterior, las estimaciones se recuperaron, mientras que esta semana observó una fuerte reducción y, a su juicio, los analistas aún no reflejan las malas noticias que podrían llegar de IA y software. Añade que el año anterior hubo recortes de tasas y que ahora espera alzas en varios países; afirma que la inflación ya sube. Cita un aumento de 0,9 en el CPI general, el mayor dato mensual desde el máximo interanual de junio de 2022, aunque dice que el componente subyacente fue menor. Advierte que mayores precios de gasolina, plástico y diésel podrían agravar los problemas de asequibilidad y distribución de riqueza. Según su exposición, el cambio de 40 días de la gasolina fue el mayor en 22 años; el diésel también subió con fuerza y, pese al alto el fuego, apenas había retroceso en crudo y productos refinados. Compara con el tiempo que tardaron en normalizarse los precios en 2022 y considera que fertilizantes y plásticos aún podrían trasladarse a los precios de alimentos y otros bienes. Por ello anticipa al menos otros dos meses de cifras de inflación similares, salvo una reversión rápida que considera improbable. Menciona la prohibición china de exportar ácido sulfúrico, que vincula con fertilizantes y cobre, y el alza del helio, relevante para semiconductores. Finalmente indica que el mercado pasó de descontar 2,5 recortes de tasas para diciembre o enero antes de la guerra a no descontar ninguno.

▶ Presiones de precios, componentes y escasez de insumos

El presentador cita el PMI de servicios y sus precios pagados: salvo el máximo de 2022, afirma que están en su nivel más alto desde 2010. Dice que el CPI interanual está en 3,2% y que, con dos comparaciones interanuales fáciles y las presiones actuales, podría superar 4% y quizá llegar a 5%; si alcanzara más de 5,8% o 6%, sería el nivel más alto desde los años noventa. Advierte que es difícil ignorar el dato general. Aunque el CPI subyacente fue 0,2, el PCE subyacente —la medida que elige la Fed— llevaba tres meses consecutivos por encima de 0,3; afirma que en los últimos 25 años eso solo había ocurrido durante el auge inflacionario. Atribuye parte de la firmeza del PCE a bienes: inflación de bienes de 0,84 y, excluido 2020, el ritmo más alto desde 1991. Según él, la brecha entre bienes subyacentes del CPI y el PCE se relaciona con software y accesorios de computadora; dice que esa categoría tuvo 6,65 en febrero y 40 veces más peso en el PCE general. Pronostica mayores precios de cómputo y menciona escasez de Mac mini y Mac Studio, además de posibles problemas de servidores y CPU. Sostiene que la Fed espera pocos cambios en la inflación subyacente, por lo que las tasas podrían mantenerse por debajo de la inflación durante un tiempo. En los informes PMI del ISM ve materias primas al alza y en escasez —incluidos aluminio, componentes eléctricos, rodamientos, memoria y tierras raras—, muchas relacionadas con IA. Presenta esa escasez como uno de los argumentos favorables a Bitcoin y prevé rendimientos reales negativos pronto si sube la inflación general. También espera inflación de dos dígitos en algunos mercados emergentes, devaluaciones de ciertas monedas y mantiene a Brasil entre sus preferencias. Resume el marco como inflación y escasez en el lado físico frente a deflación y problemas de software; dice que no se puede resolver la escasez imprimiendo dinero y que, en su opinión, el intercambio físico apenas está empezando.

▶ Seguridad del dólar, baterías y actividad ligada a IA

El presentador coincide con Jeff Currie en que se está debilitando el acuerdo que intercambiaba seguridad estadounidense por dominio del dólar. Menciona las disputas sobre la OTAN, publicaciones de Trump y la falta de participación de otras naciones; plantea como cuestión de mercado si el mundo confiará en que Estados Unidos estará presente cuando se lo necesite. Observa que el dólar subió durante la crisis y luego cedió. Atribuye a Currie la idea de que, si pudiera invertir en una sola tecnología, elegiría baterías, porque confluyen allí las necesidades militares, de redes eléctricas y de seguridad. El presentador dice que tiene varias acciones de baterías; reconoce fuertes caídas en nombres como EOS y Tesla durante la liquidación de software y crecimiento, pero sigue viendo potencial en baterías y energía y espera que regrese el impulso. Señala que la inversión en equipos informáticos alcanzó el 1% del PIB y considera que las referencias históricas basadas en consumo o software son menos pertinentes ante un mercado alcista de hardware y materias primas. Defiende su lectura de transportes y bienes de capital frente a quienes ven una economía débil: afirma que el consumidor está bien, que los hogares ricos tienen mucho para gastar, que las transferencias superan los 5 billones al año y que el gasto relacionado con salud, no cíclico, se acerca al 20%. Destaca el aumento de bienes de capital, excluyendo aeronaves y defensa, junto con el sector de transportes, y dice que las críticas a las tarifas de camiones planos pasan por alto esa actividad. Menciona que Goldman Sachs adopta los proveedores de herramientas y componentes de IA y espera más inversión de capital, aunque también califica la operación de IA como una burbuja de pleno desarrollo.

▶ Nvidia, inferencia y expansión de los agentes

El presentador anuncia un análisis de Nvidia, incluida en al menos una de sus canastas temáticas. Afirma que su múltiplo precio-beneficio proyectado para 2027 cayó al nivel más bajo de la década y que cotiza a 20 veces beneficios; considera que la acción consolida y que subirá mientras siguen creciendo los beneficios. Basa parte de su análisis de IA en declaraciones de Jensen Huang y dice que una base de conocimiento puede ayudar a extraer señales de entrevistas e inversiones, citando a Andrej Karpathy. Su tesis es que el mercado se equivocó sobre la demanda de inferencia y sobre el momento en que llegaría: los modelos ya razonan, planifican y buscan, y los agentes se están extendiendo. Afirma que no hay suficiente cómputo para satisfacer esa demanda y que las empresas adoptan la tecnología más rápido de lo previsto. Cita un ritmo de ingresos de Anthropic de 30.000 millones, frente a 14.000 y 9.000 millones, y argumenta que el crecimiento empresarial aumenta la necesidad de CPU, memoria, conmutación, redes, energía, refrigeración, almacenamiento y software. A su juicio, el software seguirá siendo necesario, pero podría surgir de empresas más pequeñas. Destaca el rendimiento por vatio y el calor, y describe los centros informáticos como fábricas de IA y núcleo del sistema empresarial. Anuncia futuras ideas temáticas sobre dispositivos de borde y dice que Mythos añade una dimensión macroeconómica a la disrupción tecnológica. La IA también podría entrar en redes, vehículos, robots y satélites; por ello, sostiene que conviene considerar tanto posiciones largas como cortas, y menciona que algunas estrategias han estado cortas en software e hiperescaladores y largas en semiconductores. Finalmente señala que Eli Lilly es la única empresa no tecnológica mencionada por Huang en el material que comenta y que la incluye en su canasta: ve un reajuste en el gráfico, crecimiento asociado a su fármaco para bajar de peso y una tesis adicional sobre descubrimiento de medicamentos mediante IA, que dice haber planteado en noviembre.

▶ Demanda de cómputo y adopción empresarial

El presentador dice que los gráficos de Anthropic muestran una adopción de IA que se aceleró de forma pronunciada; también menciona un gráfico de OpenAI, pero matiza que Anthropic había señalado anteriormente presión sobre sus márgenes y que quizá tendría que subir precios. El problema principal, según la medición de oferta y demanda que atribuye a Warren Pies, es que no hay capacidad de cómputo disponible. Afirma que la demanda de agentes hizo caer la disponibilidad y que la oferta no logra seguirle el ritmo; cita límites de uso y cortes que afectan a clientes de pago de Anthropic y dice que experimentó problemas por primera vez esa semana. Resume una explicación atribuida a Dylan Patel: Anthropic podría verse empujada a usar computadoras de menor calidad, OpenAI reserva capacidad prémium y, aunque baja el costo por eficiencia de chips, el uso crece más rápido, por lo que aumenta el gasto total —lo que llama la paradoja de Jevons—. Aun con inversiones de capital récord, la industria no estaría comprando cómputo suficiente para cubrir la demanda. Menciona una ampliación de la asociación de Anthropic con Google y Broadcom por varios gigavatios y el uso de TPU. Afirma que los clientes de Anthropic que pagan más de 1 millón anualizado pasaron de una docena a más de 500 en dos años, que ocho de las diez empresas de Fortune 10 son clientes de Claude y que las suscripciones empresariales a Claude Code se cuadruplicaron. Anthropic estaría entrando en análisis financiero y de datos, ventas, ciberseguridad y descubrimiento científico; el presentador contrasta sus más de 30 productos y funciones lanzados en enero con la lentitud que atribuye a compañías de software establecidas y critica Copilot. Añade que Claude Code agotó sus límites de uso antes de lo previsto y que Anthropic presentó agentes gestionados, mientras el uso de tokens crece, principalmente en modelos de código abierto. Dice que la proporción de los modelos de frontera más caros bajó de 22% a 4%. A partir de una predicción que atribuye a Alex Finn sobre los próximos seis meses, vincula sus 100 nombres temáticos a agentes o adopción de IA y aconseja a familias, docentes y estudiantes seguir las herramientas de IA; pronostica un impacto laboral y un futuro con más emprendimiento. Por último, recoge comentarios de Michael Dell sobre la fuerte demanda de memoria y las carencias derivadas de recortes de inversión durante la caída de 2023. Atribuye la subestimación de la inferencia a las sorpresas desde Opus 4.5 y dice que Mythos ofrece una señal relevante para los inversores.

▶ Mythos, presión sobre software y vulnerabilidad del crédito

El presentador dice que Mythos importa tanto por sus capacidades como por la forma en que salió a la luz, lo que considera evidencia de que el avance de los modelos de frontera puede ser más rápido en privado que en público. Explica la mejora recursiva como modelos capaces de mejorarse y desarrollar cosas por sí mismos. Atribuye a Anthropic la confirmación de Mythos como su modelo más potente, sin lanzamiento público y con despliegue controlado por riesgos cibernéticos; destaca un salto grande en pruebas de programación y tareas con agentes, y una elevada autonomía. Lee comentarios sobre una posible transición mayor en IA, e informa de una reunión urgente solicitada por el secretario del Tesoro con bancos, a la que Jamie Dimon no pudo asistir. También menciona Project Glasswing, iniciativa de Anthropic con varias empresas tecnológicas y financieras para proteger software crítico. Según lo expuesto, los modelos pueden encontrar y explotar vulnerabilidades mejor que casi todos salvo los humanos más expertos; afirma que Mythos accedió a sistemas que se consideraban seguros desde hacía 27 años. Cita a Sundar Pichai diciendo que estos modelos podrían afectar ampliamente al software. El presentador conecta esos temores con la venta de acciones de software: Palantir, que había superado a Microsoft en 25% durante un mes del retroceso de IGV, devolvió las ganancias. Espera que Palantir aún muestre fuerte adopción empresarial, pero reconoce que el software puede seguir bajo presión por compresión de múltiplos y considera que hay mejores oportunidades en hardware, aunque sigue prefiriendo Palantir frente a Microsoft. Describe a los hiperescaladores en competencia, con escasez de cómputo y presión sobre márgenes, y menciona nuevos productos de Meta, Google y Perplexity. En crédito privado, informa que las solicitudes de reembolso a Carlyle sumaron 15,7% y que se limitarán los reembolsos. Considera que el problema puede persistir porque la captación de fondos de crédito privado se ha detenido y la de capital privado cayó al ritmo más lento en una década. A modo de ejemplo, supone apalancamiento de 1,5 a 1,75 veces y que 25%–30% del capital de inversores de algunos fondos está relacionado con software; calcula que el equivalente podría representar cerca de 50% del efectivo tras aplicar apalancamiento. Si salen fondos sin nuevas entradas, dice, podrían vender préstamos o bonos, y señala que hasta ahora han intentado cubrir el déficit. Avisa que seguirá el problema cada trimestre y que los ciclos de crédito no se detienen solos; añade que el estrés empieza a aparecer en el mercado municipal. Vincula las futuras rebajas de valoración del capital privado de software con posibles pérdidas en su deuda y falta de compradores. Finalmente señala que las financieras siguen por debajo de su media móvil de 200 días y son el sector de peor rendimiento; tras el rebote, el software cayó y el capital privado no repuntó.

▶ Bitcoin, inflación y rendimientos reales

El presentador destaca que Bitcoin rebotó mientras el software y el capital privado no lo hicieron. Afirma que hubo una ruptura visible de la correlación entre Bitcoin y software, y señala que Bitcoin, los mineros y Ethereum tuvieron una semana fuerte. Compara dos años de comportamiento y dice que Bitcoin está cerca de máximos históricos en relación con el software; cree que la IA no lo disrumpe del mismo modo que al software. Sostiene que Mythos plantea riesgos de hackeo para bancos y que la criptografía es más segura, aunque reconoce que la computación cuántica es un riesgo futuro. A partir de ello, opina que podría trasladarse mucho dinero a Bitcoin y aconseja considerar activos en cadena. Informa que Bitcoin superó al software en 22% esa semana, el mayor margen de los últimos dos años, y menciona un cruce alcista semanal del MACD. Considera que superar un máximo técnico podría ser una señal favorable, especialmente si llega buena noticia. Compara los tipos de fondos federales con la inflación y dice que están cerca de cruzarse: cita CPI de 3,3% en un pasaje y 3,2% para el cálculo de rendimiento real, junto con letras a tres meses alrededor de 3,64, lo que arroja un 0,4. Explica que su matriz de rendimiento de Bitcoin distingue si las tasas reales son positivas y si los tipos suben. Según esa lectura, Bitcoin ha tendido a rendir mejor con tasas reales negativas y tipos estables o en descenso; afirma que el próximo dato de CPI podría situar el mercado en ese cuadrante y que ese sería el momento para tener Bitcoin.

▶ Canasta temática, Brasil y plata

El presentador anuncia su lista temática de 100 nombres, organizada en cinco temas, que planea publicar en su sitio web. Dice que la canasta marcó máximos históricos y subió con fuerza en el año mientras el mercado estaba sin cambios; menciona una puntuación técnica preparada por John Roehke con datos del jueves. Los cinco temas son racks, productos químicos, fibra óptica, empaquetado avanzado y energía; cuatro marcaron máximos y el de energía fue el único que no, aunque espera que también avance. Afirma que busca temas duraderos que se beneficien de agentes de IA. Las listas, elaboradas desde noviembre, incluyen cerca de 95 nombres temáticos y cinco adicionales, entre ellos Lilly, EWZ, Palantir y plata. Considera que esa estructura es una forma adecuada de invertir en la operación de IA. En su comparación desde Opus 4.5, dice que el índice de software del S&P cayó mientras su canasta vinculada al hardware avanzó; espera que los hiperescaladores sufran compresión de múltiplos y se mantengan laterales en el mejor caso, por lo que los ve como cortos relativos frente a la canasta. Explica que discrepa de Dan Ives por el peso que este da al software: para el presentador, la IA requiere electricidad, energía, cobre y fibra óptica, además de tecnología, y propone estudiar otras exposiciones. EWZ, el fondo brasileño que incluye en su lista, se acercaba a máximos de cinco años. Presenta a Brasil como beneficiario de la energía limpia abundante y de la demanda de centros de datos; dice que la tesis ganó importancia porque centros de datos en Oriente Medio están en riesgo y afirma que Irán atacó dos centros de AWS en Emiratos Árabes Unidos al inicio del conflicto en el Golfo. Cierra destacando la plata como su materia prima favorita para esta tesis y dice que es un componente crítico de la IA. Se despide hasta la semana siguiente desde Brooklyn.

Transcripción completa
[0:00] All right.
[0:00] Up in Maine this week.
[0:02] Uh
[0:03] doing this just before the close on
[0:05] Friday. So, if some of the prices don't
[0:07] seem to match up with the closing
[0:08] prices,
[0:09] uh just because uh
[0:11] I'm doing this so I can get out of Maine
[0:13] and get back to Brooklyn. Uh lot to go
[0:17] through. It's amazing how many things
[0:19] happen in a week.
[0:21] Uh obviously,
[0:23] this is uh definitely taco week, but I'm
[0:26] going to go through and and just again,
[0:30] get everyone to stay away from the S&P
[0:33] 500 as a gauge. Uh 95% of things that I
[0:37] listen to and watch in podcast related
[0:39] to the market, it's mainly about whether
[0:41] the market's going to go higher or
[0:42] lower. And I think at the end of this
[0:44] year, you're going to destroy yourself
[0:47] playing that game. Uh
[0:50] I'm going to stick with the same theory,
[0:51] which is that this is going to feel like
[0:53] the 1970s.
[0:55] Uh we're going to have inflation, which
[0:57] is why the there'll be a big part of
[0:58] inflation this week. Uh how you invest
[1:01] in inflation is the opposite of the way
[1:03] uh people have been. This is a scarcity
[1:05] trade. The abundance trade got destroyed
[1:08] again this week. We'll go through that.
[1:10] Uh but, you're going to start hearing me
[1:12] talk a lot more about Bitcoin. I think
[1:14] Bitcoin is entering a period where every
[1:16] investor is this is the beginning of
[1:18] your journey of understanding it. Uh
[1:20] growth as an asset in terms of stocks
[1:22] has just been destroyed. And I think
[1:25] this is going to continue.
[1:27] Uh the terminal
[1:29] value story is only going to worsen.
[1:32] We're going to go through that with
[1:33] Mythos. I wrote a piece on this. Uh I've
[1:36] I've done a lot of writing over the last
[1:38] couple weeks. Thanks to all the
[1:39] subscribers reaching out looking for
[1:41] stuff. I'm going to go through my
[1:42] thematic basket today in terms of
[1:44] just some of the things that I've talked
[1:47] about. Uh there's been some big moves on
[1:49] the upside. There's always going to be
[1:51] some losers in there, too.
[1:53] Uh we'll talk about Brazil, which has
[1:55] been one of the winners. And we'll go
[1:56] through silver, which I did. And also,
[1:58] I'll start to
[2:00] bring in some new things. Uh
[2:02] all right. I I'm just going to go
[2:04] through these first three images cuz
[2:06] I've been showing this since I think the
[2:08] first time I did it was somewhere in
[2:10] October, November.
[2:11] Uh this was all related to Opus 4.5, the
[2:15] acceleration, the destruction of
[2:17] software,
[2:19] uh and the need to have a portfolio
[2:21] which was
[2:22] based on rising PMIs, rising commodity
[2:25] bull market, and anything that was
[2:28] scarce with compute being completely
[2:31] insatiable from the demand side.
[2:34] The physical world upgrade, which was
[2:35] the theme for this year. Again, moving
[2:37] out of anything built on code, moving
[2:40] into anything AI in the real world as we
[2:43] shove artificial intelligence into
[2:45] everything.
[2:46] This is the first inning of this. So,
[2:49] for those of you still trying to short
[2:50] SMH, still trying to follow Michael
[2:53] Burry shorting Nvidia, uh anything on
[2:57] the software side can be shorted. Even
[2:59] Palantir, which is a name that I still
[3:01] like, uh but fully understand that
[3:04] no matter what you like in software
[3:06] right now, uh it doesn't really matter.
[3:09] AI is really accelerating at a pace that
[3:12] it makes any certainty on the future
[3:14] impossible for commodities. And for
[3:16] semiconductors or any kind of hardware,
[3:18] that is not the case.
[3:20] And again, the speed of this is the
[3:22] damage. So, I've shown the supersonic
[3:24] tsunami.
[3:25] Uh these are all photos of what's going
[3:27] on. And that's why when you read stuff
[3:29] like this is a big week for stocks. All
[3:31] right, the S&P 500 finished slightly
[3:33] down for the year as of this week. Uh it
[3:35] was up at the beginning, then it was
[3:37] down. Now, it's back to unchanged. And
[3:39] within the sectors, you've got a lot of
[3:41] things up and down.
[3:43] So again, we were down five weeks in a
[3:45] row.
[3:46] We got a bounce.
[3:48] I don't think at this point uh you
[3:50] should be focused on it being up. I
[3:51] think we're going to see a lot of green
[3:53] and a lot of red. I don't think this is
[3:55] going to be a repeat of last year. Like
[3:57] I said, this was liberation uh week day
[4:00] week. And then most of them the weeks
[4:03] were up. I do not think we're going to
[4:04] see this. I think we're you're going to
[4:06] see a pendulum back and forth, and I'll
[4:07] go through the reasons why. Qs after
[4:09] five weeks in a row down, made back most
[4:12] of it up 8% over two weeks. IWM, same
[4:16] thing.
[4:19] Here we are year-to-date. Uh
[4:23] energy, materials, industrials,
[4:25] utilities.
[4:26] This is basically your
[4:29] scarcity trade.
[4:31] And here's your abundance trade down
[4:34] here.
[4:34] Uh financials are down here because
[4:37] again, they are for the most part
[4:39] something disrupted by code, but also
[4:44] they've got a lot of connection in the
[4:45] debt market to the software side, which
[4:48] obviously has been the private credit
[4:49] side.
[4:50] Uh here's the best way to look at it.
[4:52] Here's the bounce in the S&P this week.
[4:55] Taco time. We get a big bounce. The
[4:58] white line here,
[4:59] IGV making new lows. Not only making new
[5:03] lows, making sharp new lows. And at the
[5:04] same time, private equity continues
[5:06] there. No bounce in the deflationary
[5:09] side of the market. Zero. This is why
[5:11] this is not last year. This was not a
[5:13] rally in getting rid of the problems.
[5:16] And the reason this line is here is this
[5:18] line
[5:20] was when the war started.
[5:22] So, the S&P rallied almost back to where
[5:23] it was.
[5:24] This stuff not only didn't budge, it's
[5:26] lower than it was at the start of the
[5:27] war. It had fallen before the war. Do
[5:30] not forget this cuz this story is still
[5:32] playing out, and it does not have a
[5:35] floor.
[5:36] So, I'm going to say it again. I've said
[5:37] it in software all year. You can try to
[5:39] pick bottoms in something, you are
[5:40] wasting your time. It's like playing
[5:42] trying to pick directions in the S&P
[5:44] this year. You've got better things to
[5:46] do with your money than worry about
[5:47] whether the bearish or bullish sentiment
[5:49] is high.
[5:50] You've got a job to do, and the job to
[5:52] do is to follow inflation on the upside
[5:53] in the shortage theme. Here's the S&P
[5:56] chart. What I want to show you is this
[5:57] is the way people are going to look at
[6:00] This was last year. Now, this day here,
[6:03] we had a gap back above the 200-day
[6:05] moving average. Very similar to what we
[6:07] did here. So, here is Monday
[6:10] in terms of the reversal of Trump uh not
[6:14] obliterating a nation.
[6:16] Uh we get the gap higher. You've got a
[6:18] bunch of short covering. You've got CTAs
[6:21] uh at very large short positions.
[6:23] They're systematic strategies that are
[6:25] going to have to cover. And by the way,
[6:26] the reason these positions are so big is
[6:28] cuz we never saw the vol expansion that
[6:30] we saw down here. So, when you look last
[6:33] year, we didn't really see the buy flow
[6:34] from CTAs. It was spread all out of
[6:36] here.
[6:38] I think this one's going to be much
[6:39] faster just because we never saw the vol
[6:40] jump. So, they're going to have to
[6:41] switch back and forth. I think this is
[6:43] going to be a painful year for
[6:45] systematic strategies uh as opposed to
[6:47] last year where we got this nice smooth
[6:49] uptrend. I think this is going to be a
[6:51] volatile, uncertain year. Now,
[6:54] that gap back after liberation day, that
[6:56] came from, believe it or not, the
[6:59] US-China agreement on
[7:02] in uh in Switzerland last year on May
[7:05] 12th. That's what the gap up was that
[7:07] time. There was this statement on the
[7:08] White House. Guess what happened again?
[7:11] Monday.
[7:12] Another release. Peace through strength.
[7:14] Operation Fury. Again,
[7:17] this is we know the weak point with the
[7:18] administration. At some point with gas
[7:21] at the pump higher, the midterms in
[7:22] check, stocks down,
[7:24] you got the flip.
[7:26] Everyone uh had to cover shorts. And now
[7:29] we're back to a more neutral stance. The
[7:30] difference is, and this is what we're
[7:32] going to see. Last year, after we got
[7:35] the bounce out of liberation day, here
[7:37] are the estimate revisions for the end
[7:39] of the year. This week, we have a big
[7:42] down move. Before then, we had nothing.
[7:44] Analysts did not turn negative. Why did
[7:47] they turn negative here on tariffs?
[7:49] I don't really know in hindsight. They
[7:51] had to revise everything back up. This
[7:53] time, the bar
[7:54] is far different. And that's what you
[7:56] have to remember. We kept getting
[7:57] earnings revisions last year because
[7:59] people expected inflation to be higher
[8:02] and expected there to be a recession.
[8:04] Now, with inflation certainly to be
[8:06] higher, it never budged here. We've
[8:08] already seen it go higher. Analysts are
[8:10] not turning negative. I think there is
[8:11] negative news to come both from AI and
[8:13] the software side. Uh everyone keeps
[8:16] hoping that there'll be good news on
[8:17] software. At this point, with good news,
[8:20] software has gone down. Can you imagine
[8:22] what'll happen if we start getting bad
[8:23] news in software where you can
[8:24] extrapolate it out to three years? Uh
[8:26] that will come at some point, mark my
[8:28] words, because this is a true
[8:30] disruption.
[8:31] Last year,
[8:32] we still had rate cuts going on around
[8:35] the globe.
[8:36] So, during this whole time period last
[8:38] year in 2025, while we still had into
[8:42] September, we still had rate cuts. Well,
[8:43] now we've got rate hikes
[8:46] around the globe that are going to
[8:47] start.
[8:49] And last year, we never got a budge in
[8:50] inflation. In fact, here were the
[8:52] inflation numbers. And today,
[8:55] we got a bump up of 0.9 on headline CPI,
[8:58] the highest monthly number since
[9:01] the peak in year-over-year CPI back in
[9:03] June of '22. So, we already are seeing
[9:05] inflation go higher. Now, core was
[9:07] lower. I'll get into that later. Uh this
[9:09] will be the year that uh you'll learn
[9:12] the difference between core and
[9:13] headline. But, it's going to come at a
[9:15] time when affordability is an issue and
[9:17] when there's a distribution of wealth
[9:18] problem. Uh higher gas prices, higher
[9:20] plastic prices, higher diesel prices,
[9:22] this is not going to do well for either
[9:24] the administration or it's not going to
[9:26] do well for the market in terms of a lot
[9:28] of things in the past through. Here's
[9:30] gas prices. This is the 40-day rate of
[9:33] change. The reason I want to bring this
[9:35] up, this is the biggest move in the last
[9:38] 22 years in terms of gas over a 40-day
[9:41] period. That's we have a lot of
[9:43] inflation still to come.
[9:45] Diesel, even more dramatic. Diesel,
[9:48] every truck in the country, everything
[9:50] related to refined products is going to
[9:52] continue to see. And right now, we
[9:54] haven't seen any pullback in this. So,
[9:56] even though we have a ceasefire, we've
[9:58] barely had a budge in even crude
[10:00] futures. We had one up day on Friday
[10:02] before the weekend of 11 bucks. Now,
[10:05] we're back down and we basically settled
[10:07] where we were before the Friday. So, as
[10:08] of the Thursday, we're down about four
[10:10] or five bucks.
[10:12] But, diesel prices and all these refined
[10:13] products, we got a lot of damage there.
[10:15] So, I think the big difference is how
[10:16] long is it going to take for this stuff
[10:18] to normalize? Took a long time in 2022.
[10:21] Uh we'll see how long this takes. This
[10:23] is uh basically plastic uh again,
[10:26] straight up. So, this is the plastic
[10:28] price, which is going to flow through to
[10:29] everything.
[10:30] Uh this is for fertilizer. We haven't
[10:33] seen food prices up yet. We haven't seen
[10:35] the the plastic prices up yet. These are
[10:38] all prices that are going to flow
[10:39] through. So, that CPI number you saw
[10:41] 0.9, you can expect at least another two
[10:44] months of numbers that are going to be
[10:45] somewhat similar uh unless we see a
[10:48] quick reversal, which just seems
[10:49] unlikely. Today, China moved to ban
[10:52] sulfuric acid. That's a key component in
[10:54] a lot of different things.
[10:56] But, in particular, it's part of the
[10:58] fertilizer uh side. It's also part of
[11:00] the copper side. So, them banning that,
[11:03] again, when the Chinese ban something,
[11:04] that highlights that the shortage is
[11:06] there. It means they're focused on that.
[11:08] It means someone is suffering from that
[11:09] cuz China is a a big exporter. So,
[11:12] they're banning that. You still have
[11:14] helium prices that have spiked. That
[11:15] goes into a lot of different things, but
[11:17] obviously semiconductors.
[11:20] You think about the breadth of the
[11:21] problems that are coming from the
[11:22] commodity shortage side, which is not
[11:24] going away. Last year,
[11:26] we had rate hikes or rate cuts still
[11:29] built into the market the entire year,
[11:32] and we actually ended up getting rate
[11:33] cuts. This time, we had rate cuts before
[11:36] the war as of here. We had 2 and 1/2 in
[11:38] the market. This is for the December or
[11:40] the January Fed funds.
[11:42] We're zero now. We've taken out the
[11:45] cuts.
[11:47] Here's the services PMI. We got the PMI
[11:49] this week. This is prices paid overlaid
[11:51] with the CPI. Now, remember, this is the
[11:54] service
[11:55] PMI. I just want to highlight that the
[11:58] service PMI matters a lot from prices
[12:00] paid. And aside from this period in
[12:03] 2022, up at 71, you're talking about the
[12:07] highest level since 2010.
[12:10] Now, this CPI print, we're now up at
[12:12] 3.2. So, we're up here.
[12:14] We have two very easy comps coming over
[12:17] uh uh the next two months. It is highly
[12:19] likely, based on what's going on, that
[12:21] we will be well above 4%, maybe even
[12:23] let's assume 5%.
[12:25] At 5% CPI, if we get there, we're
[12:28] talking about the highest number since
[12:31] just before the great financial crisis.
[12:33] If somehow or another we get above 5.8
[12:36] and up to six, you're talking about the
[12:38] highest number since the 1990s.
[12:40] So, again, I think it's very hard to
[12:42] look through what's happening on CPI.
[12:44] Now, for core, even though the core came
[12:46] in at 0.2 today,
[12:48] the PCE core, which is the Fed's chosen
[12:51] part, we just had our third month in a
[12:53] row of greater than 0.3.
[12:56] The only time over the course of the
[12:59] last 25 years that we had three months
[13:02] in a row of greater than 0.3
[13:04] was during the inflation boom here. It's
[13:07] the only time, guys. We haven't even had
[13:09] back-to-back months, except for this one
[13:11] little point at the end of '24. So,
[13:13] we've had three months in a row of core
[13:15] PCE above 0.3. A lot of this, again, has
[13:19] to do
[13:20] with technology.
[13:23] Core PCE was firm in February because of
[13:25] goods. Goods inflation was 0.84.
[13:29] Okay.
[13:29] Again, if you exclude '20, it's the
[13:31] highest run rate since 1991.
[13:34] You cannot exorb ignore this. You just
[13:36] can't. Uh so, here we were, 0.2, 0.9,
[13:40] 3.3 on the headline, 2.6 there. Market
[13:43] initially liked it, and then I think we
[13:45] finally have reached a point. The wedge
[13:46] between core goods in the CPI
[13:49] at 0.2 and PCE very high is due to the
[13:52] computer software and accessories
[13:53] category.
[13:57] This is a problem, guys.
[14:00] And look here, the software category was
[14:02] 6.6 five in February, has 40 times more
[14:05] weight in the overall PCE price. As I go
[14:07] through this, I'm just going to tell you
[14:09] that compute prices are only going to
[14:11] get worse going forward.
[14:14] Uh cell phones, computers, we've got
[14:16] shortages in Mac minis and Mac studios
[14:19] that are extending further, and we're
[14:21] going to have a server problem, CPU
[14:23] problem. All of these things are coming.
[14:25] Uh
[14:26] the Fed expects little change to
[14:28] underlying inflation. It's great. We've
[14:30] got a 0.9 versus a 0.2. We put it post a
[14:33] couple more months of this, and the
[14:34] Fed's going to leave that alone, which
[14:37] means rates are going to stay below
[14:38] inflation for a period of time. Look at
[14:41] the ISM PMI report, and just go to the
[14:44] little section in the report.
[14:45] Commodities reported up or down in price
[14:47] and short supply.
[14:49] So, if you think there's a bull market
[14:50] in commodities, look, up and down in
[14:53] price and in short supply.
[14:57] Aluminum, every single commodity here.
[14:59] This is not just oil. This is everything
[15:02] in here. Nothing is down in price.
[15:05] Commodities in short supply, electrical
[15:07] components, bearing components,
[15:09] electrical components, memory, rare
[15:11] earth. All of this is AI related.
[15:14] This is only going to get worse, guys.
[15:18] This is going to be a problem. This is
[15:20] one of the positive things for Bitcoin.
[15:22] For all of you uh who follow me with
[15:24] pump and your your Bitcoin lovers,
[15:28] uh and all you institutional people that
[15:30] don't embrace Bitcoin, start to embrace
[15:32] it. Uh if you've seen some of my calls,
[15:34] and if you've gone through this, and you
[15:36] think I've had a decent uh a decent look
[15:38] at AI, especially with some of the
[15:40] names, I'm telling you this is the thing
[15:42] Bitcoin is made for. Um you're going to
[15:44] have negative real yields very soon on
[15:46] headline inflation, and I'll show you
[15:47] why that matters. But, you're also going
[15:49] to have problem in a lot of countries
[15:51] based on what's happening with the
[15:52] Middle East in terms of EM inflation and
[15:54] PPI prints
[15:55] saying we're going back to double digits
[15:57] globally. You're going to start seeing
[15:58] some devaluations in some of these
[16:01] currencies over in emerging market land.
[16:04] Um
[16:04] and we'll go through the ones that I
[16:05] still like, like Brazil. Uh again,
[16:08] abundance versus scarcity. That's what
[16:09] that whole thing is for. I can't say it
[16:11] any louder. We've got inflation over
[16:13] here. We have deflation over here in
[16:15] terms of software problems.
[16:17] Financials are fitting into it. The
[16:19] problem is you can't print your way out
[16:21] of this one. So, for the scarcity side,
[16:24] it's not getting any better because
[16:26] where you going to find the the supply?
[16:27] It either comes through demand
[16:28] destruction,
[16:30] uh which I don't think is going to
[16:31] happen cuz I think they're going to deal
[16:32] with the energy side. But, just
[16:33] remember, this whole physical upgrade
[16:35] trade,
[16:36] first inning.
[16:39] Jeff Currie on the structural trade, and
[16:42] I mean, he's getting in it. I I could
[16:43] not agree more. The bargain that trades
[16:46] US security for dollar dominance is
[16:48] breaking down. So, think about what
[16:50] happened with NATO in terms of the
[16:52] arguments. Think about what Trump posted
[16:53] on Saturday and how it just seemed to be
[16:56] this flailing thing uh about what was
[16:58] going to happen. So, we've backed off.
[17:00] That's all well and good, but the
[17:02] question is, does the world trust the US
[17:05] to be there when it needs it? The
[17:07] nations didn't come in. This There's a
[17:08] much bigger story here that impacts the
[17:11] odds. Regardless of what your political
[17:13] beliefs are, you have to view this as
[17:15] where does the dollar sit in this whole
[17:17] thing? So, again, the dollar rallied
[17:19] during a crisis mode. It fell right back
[17:21] off during a period here.
[17:23] I agree with Jeff on this thing. And one
[17:25] of the things he adds,
[17:27] if I if Currie could put all his money
[17:29] into one technology, it's batteries. The
[17:31] military case, the grids case, the
[17:33] security case, all converge on storage.
[17:36] I've been talking to a lot of you about
[17:37] batteries. It's a hard thing to play.
[17:39] Lithium is on the critical minerals
[17:40] list. I have a bunch of uh battery
[17:43] stocks. A lot of these have fallen, like
[17:45] EOS have fallen sharply with the
[17:46] software unwind and the growth unwind.
[17:50] I still think the battery trade, and
[17:52] Tesla's fallen off, one of my favorites,
[17:54] too. Uh all the way back down to where
[17:56] it was in the summertime. The battery
[17:58] and energy trade for these names is
[17:59] going to happen again. Uh just got to
[18:01] wait for a little momentum to start
[18:02] going, but we saw some change this week.
[18:05] I think this is going to be a bigger
[18:06] theme coming out of this. Computer
[18:08] equipment investment just hit 1% of GDP.
[18:10] Just look at these numbers, guys, and
[18:12] just look back in history. Business
[18:14] computer equipment investment as a
[18:16] percentage of GDP.
[18:18] This is why being long consumer or being
[18:20] long software or being long any of this
[18:23] stuff about the way GDP was in the past
[18:26] is completely irrelevant. We are now in
[18:29] a commodity hardware bull market,
[18:31] software, all of that. Last week, I put
[18:34] something out on transports. Just like I
[18:37] did when I put a Marvell piece out, and
[18:38] I got pushback, and I got a pushback on
[18:41] a whole bunch of things. I love pushback
[18:44] right now.
[18:45] Transports, there was pushback. You guys
[18:47] are missing the boat on this. For people
[18:49] who are permabears on AI, suffer the
[18:52] consequences. For people that are
[18:54] bearish on the economy right now,
[18:57] stop looking at housing. Stop looking at
[18:59] autos. Stop looking at all of the things
[19:01] related to the consumer. The consumer is
[19:03] fine. The wealthy people have more money
[19:05] to spend than you can believe. Transfer
[19:07] payment people are getting 5-plus
[19:09] trillion a year. We have ex-
[19:11] expenditures almost up to 20% of
[19:13] healthcare, which is non-cyclical. This
[19:15] is not 2006 before the baby boomers
[19:19] retired. What we have right now is a
[19:21] boom in this white line, which is
[19:23] capital goods X
[19:26] air and defense.
[19:28] This is a straight line up, and this is
[19:30] overlaid with the transport sector. So,
[19:32] everyone who sent me something when I
[19:34] showed
[19:35] flatbed rates last week and said the
[19:38] economy's not going, you're missing it,
[19:40] blah blah blah. I think you guys have to
[19:42] do some homework right now and start
[19:43] looking at more than some people that
[19:45] you like to read who are bearish.
[19:47] Uh Goldman Brack Goldman Sachs embraces
[19:49] the picks and shovels of AI with more
[19:51] capex ahead.
[19:53] AI trade in full full full
[19:56] full-blown bubble right now.
[19:58] Uh
[19:59] all right, I'm going to write a piece
[20:00] about Nvidia this week. Uh it's it's in
[20:03] at least one, I think two of the
[20:04] baskets, but definitely one of them. So,
[20:06] it's on my thematic list. As we've had
[20:08] multiple compression as a big story this
[20:10] year, we've now taken Nvidia's
[20:13] 2027 PE
[20:16] down to the lowest level in the last
[20:17] decade.
[20:18] Stock is having this nice consolidation
[20:21] here, in my opinion.
[20:23] Uh
[20:23] in my opinion, it's going higher.
[20:26] Earnings just continue to grow while the
[20:29] PE has sunk down to 20.
[20:31] We are at an agentic side, and if you
[20:33] don't believe me,
[20:35] go listen to this podcast.
[20:37] Uh part of the reason I'm writing this
[20:39] paper on Nvidia is Jensen Huang has been
[20:42] a gift that's kept on giving. I run
[20:44] almost all of my AI models on things
[20:47] that he says during the week, and the
[20:48] names that I get, like a Marvell, like
[20:52] Coherent, any of these ones that he's
[20:54] made investments in,
[20:55] he tells you way ahead of time to put
[20:57] money in. Not literally, but if you use
[21:00] AI and you create a knowledge base, go
[21:02] look up Andrej Karpathy and figure out
[21:03] what a knowledge base is,
[21:05] you can go out and you can start getting
[21:07] data, but you have to go through this to
[21:09] figure out where we are in AI right now,
[21:11] because everything he said,
[21:15] the market got inference wrong. And when
[21:17] he says the market, it's pretty much
[21:20] everyone, guys.
[21:21] Inference demand is exploding because
[21:23] models are no longer just answering
[21:25] prompts. They're increasingly reasoning,
[21:26] planning, searching. This was not
[21:28] supposed to happen this quickly. So,
[21:30] it's not just that people were wrong,
[21:33] they were wrong this soon. So, Open
[21:36] Claw, Cohere, Perplexity, compute, every
[21:40] single one of them is now agents. Agents
[21:42] are running everywhere.
[21:44] We don't have enough compute to deal
[21:47] with all these agents, and now
[21:48] enterprises are adopting at a pace far
[21:51] faster. If you've seen Anthropic's
[21:53] number, go back to what people were
[21:54] saying. There was no way to monetize AI.
[21:57] That was 6 months ago, guys. And now we
[22:00] were at a run rate of 30 billion, up
[22:02] from
[22:03] 14 billion, up from 9 billion. The
[22:05] numbers keep growing now in terms of
[22:07] this because they're taking in tons of
[22:09] enterprises. So, when you go through
[22:11] this, we need more CPU, we need more
[22:13] memory, we need more switching, we need
[22:15] more networking, we need more power, we
[22:16] need more cooling, we need more storage,
[22:18] we need more software.
[22:21] All of this stuff is what you can invest
[22:23] in outside of software. He only says
[22:25] that because a lot of his customers are
[22:27] in there in software, but we do need
[22:28] more software. It's just going to come
[22:30] from smaller businesses.
[22:32] Everything is about performance per watt
[22:34] and heat, everything.
[22:36] Computers are turning into AI factories.
[22:38] It's becoming the center of the system
[22:40] and the center of the business model.
[22:43] I'm about to start
[22:45] thematic ideas on the edge device side,
[22:48] because we are now at the point,
[22:50] especially with Mythos, as I'll get
[22:52] through that. If you haven't read the
[22:53] paper I wrote on Mythos last week, uh
[22:56] guys, you really need to subscribe and
[22:58] be a part of this just because I don't
[23:00] see the uh street as being on top of
[23:02] this in terms of what how to go through
[23:04] it. This is really a macro theme that
[23:06] goes across technology.
[23:08] And when you go through the edge device
[23:09] side, there are a lot of winners that
[23:11] are not part of the current trades. This
[23:15] is why I spent time on the rack. The
[23:16] rack is part of it, but there's other
[23:18] places to go through cuz remember, as
[23:20] much as right now we've got AI
[23:22] disrupting software, it's going to get
[23:24] into the physical world through
[23:25] networks, vehicles, robots, satellites.
[23:27] That is going to disrupt other parts.
[23:30] So, it's not just a long side, you have
[23:32] to be on top of this for the short side
[23:33] as well, because a lot of the alpha this
[23:35] year has been traded by using
[23:37] hyperscalers on the short side and using
[23:39] software on the short side versus semis,
[23:42] but other longs.
[23:43] I want to bring this up, too, because he
[23:45] also the only non-tech company he
[23:48] mentions
[23:49] is Eli Lilly. It's a gift for you
[23:51] non-subscribers. Eli Lilly's in my
[23:53] basket. The reason it's in my basket is
[23:56] because Nvidia and Jensen Huang talks
[23:58] about him more than anyone on this.
[24:00] Uh uh
[24:01] The chart looks like it just had a
[24:03] reset. They have earnings growing
[24:05] because of uh
[24:07] Ozempic or whatever their version is. Uh
[24:10] but you also have AI discrub drug
[24:12] discovery, and I wrote this paper in
[24:13] November. This is still a theme.
[24:16] It's still real.
[24:19] Here's the Anthropic chart. So, again,
[24:21] everyone that was fading AI adoption
[24:24] could not be more wrong. It's gone
[24:25] parabolic. This is the Open AI chart.
[24:28] Don't be surprised if Open AI starts to
[24:30] pick up, but regardless,
[24:32] uh
[24:33] this number has gone parabolic. I will
[24:34] say, remember the last time Anthropic
[24:36] said what their earnings were, they had
[24:38] a problem because the margins were still
[24:39] coming down.
[24:41] They're going to have to raise prices,
[24:42] but we have a bigger issue.
[24:44] And the issue is,
[24:46] as Warren Pies shows in probably the
[24:48] best thing of
[24:51] measuring supply and demand, there is no
[24:53] compute available, guys.
[24:55] Uh literally, there is no compute
[24:57] available. So, look at how far down this
[24:59] stuff has gone this year as the agentic
[25:01] side has kicked in. We can't keep up
[25:04] supply versus demand. That's why, as
[25:06] Axios put out uh this week, AI compute
[25:09] wars. Now, again,
[25:12] Anthropic's server capacity isn't
[25:14] keeping pace with demand, leaving paying
[25:16] customers stuck on usage limits and
[25:18] outages.
[25:19] I can confirm that that has happened to
[25:21] me for the very first time. Yes, I had
[25:24] issues with Anthropic a long time ago,
[25:26] but once I upgraded to the highest
[25:28] package, I never had a problem. I did
[25:30] this week. Dylan Patel, I highlighted
[25:33] this video that he did in uh in terms of
[25:35] uh interview with Dwarkesh Patel, his
[25:38] roommate,
[25:40] highlighted that Anthropic may be pushed
[25:41] towards lower quality computers. Open AI
[25:43] locks up premium supply. Commute compute
[25:46] costs are plummeting as efficiency in
[25:49] chips and uh uh
[25:50] increase. However, usage is skyrocketing
[25:53] faster, so total spending keeps
[25:55] climbing. It's Jevons paradox. Even at
[25:58] rack record capex levels, the industry
[26:00] isn't buying enough compute to meet full
[26:02] demand.
[26:04] On the 30 billion, this is what they had
[26:05] to do this week. Anthropic expands
[26:07] partnership with Google and Broadcom for
[26:09] multiple gigawatts. They're basically
[26:11] going to start using TPUs. This is what
[26:13] Dylan had talked about. They don't have
[26:15] a choice. This is what they put in there
[26:17] 2 years ago, a dozen customers
[26:19] paid Anthropic over 1 million uh on an
[26:22] annualized basis. Today, that number
[26:24] exceeds 500.
[26:25] So, 2 years ago, they've gone from a
[26:27] dozen customers to 500. These are uh
[26:30] Palantir-type numbers. Eight of the
[26:32] Fortune 10 are now Claude customers.
[26:34] Eight of the Fortune 10 are Claude
[26:36] customers. That is not good for
[26:38] Microsoft. That is not good for the
[26:40] software companies. Business
[26:41] subscriptions to Claude code have
[26:43] quadrupled. Uh you guys can read this.
[26:46] They're getting into financial and data
[26:48] analysis, sales, cybersecurity,
[26:49] scientific discovery and beyond.
[26:52] In January alone, we launched more than
[26:53] 30 products and features. That's how
[26:55] quickly this stuff can come out. Think
[26:57] about Copilot. Think about how useless
[26:59] it is.
[27:01] 3 years plus since ChatGPT, and that's
[27:05] what we have. They put out 30 new
[27:06] products, including
[27:08] PowerPoint,
[27:09] including Excel.
[27:11] Uh
[27:12] software companies cannot move at the
[27:14] speed. It's just not possible. Anthropic
[27:16] admits Claude code's
[27:18] users used limit way faster than
[27:20] expected. Um again, nobody was ready for
[27:23] this. So, this was the $200 one. They
[27:26] just unveiled manage agents. So, this is
[27:28] their competition for Open Claw.
[27:31] It's getting easier and easier to use
[27:33] agents, guys. Uh if you doubted the
[27:35] token use from them, here's the token
[27:37] use going up through the roof. And
[27:38] remember,
[27:40] this is basically mainly
[27:44] models that are open source.
[27:46] So, the majority of this
[27:49] is open source. So,
[27:51] the frontier most expensive models have
[27:53] gone from 22% to just 4% today.
[27:59] Alex Finn, um a must must watch, but
[28:02] also a must listen to in terms of his
[28:04] ex-post and going through it.
[28:06] Uh something colossal is going to happen
[28:08] in the next 6 months. He's writing this
[28:11] all related to AI agents, which again
[28:12] goes back to the point. All of my 100
[28:15] names in the thematic baskets, one way
[28:17] or the other, are directly connected to
[28:19] AI agents or at least AI adoption. They
[28:21] are all on the physical side, but they
[28:23] all fit in with the fact that we don't
[28:25] have enough compute.
[28:27] People keep fading this, but I'm just
[28:29] telling you that when you go through,
[28:32] he's also highlighting something I've
[28:33] said to parents, professors, kids at
[28:36] school, my son, as I've talked about,
[28:39] it has never been more critical that you
[28:41] were up to date on all the latest AI
[28:43] tools. The future is entrepreneurship.
[28:46] Jobs are about to be impacted. So,
[28:48] whatever you thought about the job
[28:49] situation,
[28:50] be prepared now cuz we're getting into a
[28:52] very different situation with Mythos,
[28:54] which again, I'll cover again. But
[28:56] Mythos is something you need to
[28:57] understand.
[28:59] Uh Michael Dell spoke.
[29:01] He talked about how much memory demand
[29:03] is surging, and again, he did this at a
[29:06] Bank of America event this week.
[29:08] Uh I just wanted to highlight how big it
[29:10] is and just
[29:12] that it's all happening at the same
[29:14] time. The demand is just picking up. He
[29:16] noted that investment pullbacks by
[29:18] memory companies amid the 2023 downturn
[29:20] have resulted in supply shortages.
[29:22] Again, this is a very similar story to
[29:24] what's happened commodities. There's
[29:26] just been underinvestment in the space
[29:27] because no one wanted to get hurt again
[29:29] hurt again in terms of overinvesting.
[29:32] Everyone, investors,
[29:35] uh
[29:35] semiconductor companies, people
[29:37] underestimated how quickly inference
[29:39] would get here
[29:40] and go to the demand. The reason is
[29:43] because of this. Not just because of
[29:46] Mythos, but once Opus 4.5 came out, the
[29:48] world changed. I'm going to show you
[29:49] more charts on that. Make sure that from
[29:51] an investment standpoint, you understand
[29:53] the reason why it's important. The
[29:55] Mythos signal. I wrote this for 22V last
[29:58] week. Again, for the subscribers who saw
[30:00] it.
[30:02] Mythos matters not just for what it may
[30:04] be,
[30:05] but for how it surfaced that's evidence
[30:06] that frontier may be moving faster in
[30:08] private than the public fully
[30:11] Recursive self-improvement basically
[30:12] means that the models are able to make
[30:15] themselves better,
[30:16] develop things on their own.
[30:19] Here are the podcasts you should go
[30:21] listen to to learn more about Mythos.
[30:23] Uh I listen to this one regularly, the
[30:25] AI daily brief. I haven't really
[30:27] mentioned it too many times on here.
[30:29] Um
[30:29] no real reason. It's a short one, but
[30:31] it's every day. But they went through
[30:34] should we be scared of Anthropic's
[30:35] Mythos? They also put one out the calm
[30:37] before the AGI storm. It's here, guys.
[30:40] We are at that moment. Uh that is the
[30:42] reason why software dumped this week is
[30:44] because now people are starting to come
[30:46] to terms with Mythos, which again came
[30:48] out last week or at least was released
[30:50] leaked last week. So, speaker says
[30:53] Anthropic has officially confirmed
[30:54] Mythos, its most powerful model yet, but
[30:57] it is not releasing it publicly. It is
[30:59] flaming It is framing it as powerful
[31:02] enough to require a controlled rollout
[31:03] because of the cyber risk. The reported
[31:05] benchmark jump is unusually large.
[31:08] The biggest gains are in coding and
[31:09] agentic tasks. I'm not going to read all
[31:11] this other part. It is capable of highly
[31:14] autonomous behavior, which gets back
[31:16] into the recursive self-improvement
[31:18] side.
[31:19] This is the calm before the AGI storm,
[31:21] guys. Um
[31:23] It's faced backla-
[31:25] Anthropic faced backlash over user
[31:26] limits. Uh Gemini 4 is presented as a
[31:29] major open source model. The next
[31:31] generation of models may represent a
[31:32] real step change with speculation around
[31:35] new Open A multi- multimodal systems and
[31:38] Anthropic's Mythos
[31:39] level advances. The biggest conclusion
[31:42] is that the industry may be approaching
[31:43] a phase where incremental updates are no
[31:45] longer enough and a much bigger
[31:47] transition towards superintelligence is
[31:48] starting to come into view.
[31:50] Something that people didn't believe in
[31:52] last year, but didn't think was anywhere
[31:54] near where there.
[31:56] Why Anthropic's most powerful AI model
[31:57] Mythos preview was too dangerous for
[31:59] public release?
[32:01] Anthropic model scare sparks urgent
[32:03] Bassant Powell warning to bank CEOs.
[32:06] He called for an emergency meeting. When
[32:08] we have emergency meetings,
[32:11] and this was so sudden that Jamie Dimon
[32:13] couldn't attend.
[32:14] So, this is when they saw the model
[32:18] and the Treasury Department wanted to
[32:20] have a meeting on it. If you guys are
[32:24] not alarmed at this or not paying
[32:27] attention to how important this is, then
[32:28] I'll keep going. Anthropic teams up with
[32:31] its rivals to keep it from hacking
[32:33] everything.
[32:35] Project Glasswing was created.
[32:38] We're announcing Project Glasswing, a
[32:40] new initiative that brings together
[32:41] Amazon Web Services, Anthropic, Apple,
[32:44] Broadcom, Cisco, CrowdStrike, Google, JP
[32:46] Morgan Chase, blah blah blah.
[32:49] It's all in an effort to secure the
[32:50] world's most critical software. For
[32:52] people that doubt how strong the model
[32:54] is, you don't do these types of things.
[32:56] They showed it to the government. The
[32:58] Remember the government's at war with
[32:59] Anthropic.
[33:01] And Bassant still calls a meeting.
[33:04] AI models have reached a level of coding
[33:06] capability where they can surpass all
[33:08] but the most skilled humans at finding
[33:10] and exploiting software vulnerabilities.
[33:12] I'm not going to give you the details on
[33:14] what it was able to do, but let's just
[33:15] say it was able to break into things
[33:17] that
[33:18] were thought safe for 27 years since the
[33:20] time they went up.
[33:22] OpenAI is working on a cybersecurity
[33:24] model to rival Anthropic's Mythos.
[33:28] Google interview with Sundai Sundar
[33:31] Pichai on Cheeky Pint. I recommend this
[33:34] one.
[33:36] I'll just read this one. These models
[33:37] are definitely really going to break
[33:38] pretty much all software out there. You
[33:40] guys can go listen to the rest of it.
[33:43] This all this led to software stock
[33:45] sell-off. Palantir, Microsoft drop on
[33:47] Anthropic's Mythos. I've been pitching
[33:49] Palantir relative to Microsoft. It was
[33:51] up 25% over a month during the IGV
[33:55] unwind. It gave it all back this week on
[33:57] the fears that even Palantir would be
[33:59] disrupted. I think when we get the
[34:01] earnings reports, uh they will still
[34:03] have massive growth on the enterprise
[34:04] adoption side, so I don't think this is
[34:06] going to hold, but
[34:08] I am not one to sit there and bet that
[34:10] software isn't going to continue to be
[34:12] under pressure because this is about
[34:13] model compression. And the one thing
[34:15] Palantir has anyway is high multiples.
[34:19] And when Nvidia is sitting at the lowest
[34:20] multiple of the last 10 years and
[34:22] they're in the hardware side, there's
[34:23] just better places to put your money
[34:25] right now than hope that Palantir is
[34:26] going to bounce back. Uh relative to
[34:28] Microsoft is still the way I'd play it,
[34:30] but it's giving back everything and here
[34:32] it is right there.
[34:35] Uh Meta finally coming with a new AI
[34:38] model. Again, this is all for the
[34:40] deflationary component of moving the
[34:41] prices lower, which is screwing the
[34:43] margin side. It makes the hyperscalers
[34:44] in a
[34:45] fight
[34:46] to get prices out there and deliver this
[34:48] stuff. They've got compute shortages.
[34:50] They're in competitive thing. Google
[34:52] released their Bloomberg competitive
[34:54] version. Uh Perplexity has Perplexity
[34:57] Finance. Now you have Google Finance.
[34:58] This is just a snapshot of the page.
[35:00] It's good. Uh and again, as a reminder,
[35:03] this is private equity and IGV versus uh
[35:06] SPX.
[35:10] We had more news in private credit this
[35:11] week. Wow, Carlyle, the new one with
[35:14] requests totaling 15.7%.
[35:18] They will limit shareholder redemptions.
[35:20] Uh this won't stop and remember, these
[35:22] are not a minor deal, guys. This is a
[35:24] big deal.
[35:25] Uh
[35:27] They have to Next time they come up, I
[35:29] mean, they have to come up with more
[35:30] money. So, the problem is fundraising
[35:34] for private credit is done and
[35:36] fundraising for private equity falls to
[35:38] the slowest pace in a decade. Remember,
[35:41] if you've got redemptions leaving, think
[35:42] about this like a Ponzi scheme.
[35:45] Private credit's not a Ponzi scheme, but
[35:46] they have a certain amount of money.
[35:48] They leverage it by a certain amount to
[35:50] get the returns that are up near equity
[35:52] levels. Let's assume they leverage it by
[35:53] about 1 and 1/2 to 1 and 3/4, which
[35:56] seems about industry standard. And they
[35:58] have about 25 to 30% of the money that
[36:02] they have, not the leveraged money, of
[36:04] the money they have from investors in
[36:06] software.
[36:07] Then you multiply that number times 1.7
[36:09] and you end up with about 50% of the
[36:13] cash
[36:15] is in something related to software for
[36:17] a lot of these funds. And if money keeps
[36:19] leaving without money coming in,
[36:22] they have to sell those bonds if they
[36:24] can. They have to sell the loans. This
[36:27] is where the issue starts to become a
[36:28] bigger issue. So far,
[36:31] they seem to have been trying to plug
[36:32] the hole.
[36:33] Now we're going to start getting into
[36:35] this every quarter. This doesn't go
[36:36] away. I will keep saying it.
[36:39] Pro- credit situations and credit cycles
[36:41] do not stop on their own.
[36:43] This isn't a private credit issue that
[36:46] will continue.
[36:50] It's starting to come into part of the
[36:52] muni market.
[36:57] Software pain is about to get a lot
[36:59] worse as the public software companies
[37:02] go down and the private equity markdowns
[37:05] happen, obviously the debt has to get
[37:08] hit, too. And who wants to buy anything
[37:11] related to software right now? So,
[37:13] that's your issue.
[37:15] Uh I mentioned this before. I will keep
[37:17] showing it until it's no longer true.
[37:19] When financials are below the 200-day
[37:21] moving average and they are the
[37:22] worst-performing sector, which is where
[37:23] we are right now,
[37:25] bad things happen.
[37:26] Uh
[37:28] Even with the bounce we've seen,
[37:30] financials are still there. And as I
[37:31] showed you, this happened this week. So,
[37:34] software went down, but we didn't get a
[37:36] bounce in private equity. What we did
[37:39] get a bounce in
[37:40] is Bitcoin.
[37:42] So, for everyone there who loves Bitcoin
[37:44] and
[37:45] watches me and reads my stuff on
[37:47] Bitcoin,
[37:48] uh this will be your favorite five or
[37:50] six slides. For the institutional side,
[37:52] you may not like this.
[37:54] Uh by the end of this year, guys, you're
[37:56] going to be focused on it. Um it was a
[37:57] big week for Bitcoin relative to
[38:00] software. It was a big week for the
[38:01] miners as well.
[38:03] It was a big week for Ethereum. We are
[38:05] starting to get to a point where we're
[38:07] getting a break in correlation. So, last
[38:09] Friday was the break in correlation
[38:11] between oil
[38:13] and stocks.
[38:14] We have a break in correlation right now
[38:16] between Bitcoin and software. It is
[38:18] incredibly noticeable. Straight line
[38:20] down,
[38:21] a move higher.
[38:23] This is
[38:26] two years of overlay between software
[38:28] and Bitcoin.
[38:31] Here's the relative trade. Almost back
[38:34] up to the all-time highs. I showed this
[38:36] chart many, many times and said this
[38:38] thing had done well even when it was
[38:39] down here relative to software.
[38:42] Once we get to the point Bitcoin has no
[38:45] disruption to AI.
[38:48] Every bank has a disruption as we're
[38:50] seeing to Mythos.
[38:51] Get ready for hackings. Your money
[38:54] inside the bank, as much [snorts] as you
[38:56] think it is safe, is now at risk of
[38:58] hack.
[39:00] Cryptography is far safer. Quantum is
[39:02] down the road. So, for all of the ironic
[39:04] nature of this,
[39:06] one hacking in a bank, I think a lot of
[39:09] money's going to move into Bitcoin.
[39:11] Get involved with the theory of getting
[39:14] things on chain and getting them safer.
[39:17] This is Bitcoin relative to software.
[39:19] Here is the
[39:22] weekly move.
[39:25] Whoop.
[39:26] Sorry, guys.
[39:28] Here's the weekly move. Largest in the
[39:30] last two years by far, 22%
[39:33] outperformance this week.
[39:36] Here's Bitcoin with MACD crossover,
[39:38] guys. The weekly MACD crossover. I would
[39:41] draw a trend line right down here. We
[39:42] are right on that right now.
[39:44] Uh I think once we get above this high
[39:46] right there with the MACD's now crossed
[39:48] over in there and a break in correlation
[39:51] and the fact that I think we're about to
[39:52] get some really good news,
[39:54] which I'm going to show you now,
[39:56] I'd be ready. So, this is Fed funds
[39:58] versus CPI.
[40:00] Uh
[40:01] right now we've got the Fed funds
[40:03] contract here. CPI actually bumped up
[40:05] today. It's up to 3.3. We're about to
[40:07] cross over.
[40:09] That's
[40:11] See this period here? This is when we
[40:13] had CPI above there. CPI above
[40:17] Fed funds rate doesn't happen too often.
[40:20] Here's three-month bills, real
[40:21] three-month bills. So, this is using
[40:23] year-over-year CPI and three-month
[40:25] bills, which are currently around 364
[40:28] and you've got CPI at 3.2. So, that's
[40:31] where you get this point four number.
[40:33] Uh the the red line here is zero.
[40:37] The reason this matters,
[40:38] here are the returns for Bitcoin using
[40:41] the matrix of
[40:44] are real rates positive
[40:47] and are the Fed funds rates rising. So,
[40:49] think of this as
[40:52] positive real yields. So, we've got the
[40:54] Fed funds rate above
[40:57] uh there and
[40:59] we have Fed funds rate rising.
[41:02] You don't want to be in there when the
[41:03] Fed funds rate is rising. You don't want
[41:05] to be in there when you've got positive
[41:06] real yields. Now, if you've got negative
[41:08] real yields
[41:10] and the Fed fund is on hold or easing,
[41:13] here's your return.
[41:15] All of the return is basically in that
[41:17] period. We are about to enter this
[41:19] quadrant very, very soon. The next CPI
[41:22] print will put us there.
[41:25] That's the time you want to own Bitcoin.
[41:28] Uh
[41:29] just showed you that one. No need to
[41:31] show you that. All right. So, I finally
[41:33] got my thematic list out, 100 names.
[41:35] This is five themes. For those of you
[41:37] who are new subscribers, this is going
[41:40] up on the website. You also have all the
[41:42] thematic list that make up the 100
[41:44] names.
[41:46] Uh that is a bunch of them, which I'll
[41:47] go in and show you.
[41:49] Here is the
[41:51] uh Bloomberg chart of that basket. So,
[41:53] the 100 names uh made new all-time
[41:56] highs. You can see how it's gone
[41:57] straight up.
[41:59] It's up big for the year while the
[42:01] market is down to unchanged.
[42:04] Uh
[42:05] there is a technical scoring thing
[42:07] thanks to John Roehke who did all 100
[42:10] names as of uh Thursday. So, you can go
[42:14] through, pick your names. This is just a
[42:16] small snapshot. These are all Japanese
[42:18] names, but there's a lot I mean, they're
[42:20] mainly US names. Uh but you can go
[42:22] through a lot of these are chemical
[42:23] names, by the way, and and uh memory
[42:26] names.
[42:27] Here are the individual themes. You have
[42:29] the rack. You have chemicals. You have
[42:31] optical fibers. You have advanced
[42:33] packaging and you have power. Uh
[42:36] new highs for
[42:38] four of them. The only one that didn't
[42:40] make a new high, ironically enough, is
[42:42] the energy power one.
[42:44] Uh
[42:44] but I would expect that one, too. So,
[42:46] all of these are different themes and
[42:48] this is what I want to show you with the
[42:49] AI trade. What I'm trying to find you
[42:51] guys are themes that are durable, that
[42:53] are all going to benefit from AI agents.
[42:55] Every one of these was put together from
[42:57] November on. The first one being the
[42:58] optical fiber one when I pitched Corning
[43:01] and included all of the other names that
[43:03] are in there. All of these lists, which
[43:04] total about 95 of the themes, uh are
[43:08] there. And then there's five names
[43:10] including Lilly, including EWZ,
[43:12] including Palantir, including uh
[43:15] silver and then one other one that I
[43:18] included in there, which I can't think
[43:19] of right now. But you guys can see all
[43:21] 100 names. This is the way I think you
[43:24] guys should be invested at this point in
[43:25] terms of an AI trade. And what I want to
[43:27] show you is what's happened since right
[43:30] around the time of Opus 4.5. This was
[43:32] the turning point in everything. So, the
[43:33] green line here is the S&P software
[43:36] index.
[43:37] So, again, Opus 4.5, the rumor start
[43:39] coming out, it gets released couple
[43:41] weeks later, this breaks down.
[43:44] Um this here is my thematic side. This
[43:47] is when the transfer goes into the
[43:49] hardware side. The PMI's break out in
[43:51] December. All of these trades, all of
[43:54] these themes are what I consider the AI
[43:57] theme. Now,
[43:58] you also have this uh orange line here,
[44:00] which is the hyperscalers. The
[44:02] hyperscalers to me, even though they're
[44:04] making numbers, are going to continually
[44:05] be under multiple compression, which
[44:06] means best-case scenario, they kind of
[44:08] go sideways. They are great short
[44:09] relative to this basket. The white line
[44:12] here, not to pick on Dan Ives cuz I like
[44:15] Dan Ives and we got to know each other
[44:17] and I think he does good work. The
[44:19] problem is the where Dan and I disagree,
[44:21] which is the important thing for this,
[44:23] is in software.
[44:24] Dan has a high component of this related
[44:27] to software. So, his software names have
[44:29] dragged him down. We have some
[44:31] similarities in names up here. They're
[44:32] mainly on the semi side. This is the
[44:35] difference, guys. Dan
[44:37] is a technology person. He has viewed AI
[44:40] as a software trade. This is not Web
[44:43] 2.0. I repeat, this is not Web 2.0. AI
[44:46] is not a technology. It is electricity.
[44:49] It needs power. It needs copper. It
[44:52] needs optical fibers. Those are not his
[44:54] strength. This is what's going on and
[44:56] this is why if you have money in these
[44:58] types of things, you want to start
[45:00] figuring out a different way. If you go
[45:01] to my list, you'll have a better way to
[45:03] go through this. You can run it on your
[45:05] own. EWZ's included in there. Made new
[45:08] highs. We are getting close to five-year
[45:10] highs on EWZ. EWZ
[45:13] Brazil
[45:14] benefits significantly from what's going
[45:16] on. I wrote a paper on them uh a month
[45:19] and a half ago. Subscribers can go see
[45:21] it. Brazil in the green compute
[45:22] arbitrage of the AI decade. Highly
[45:25] recommend people understand why Brazil
[45:27] is such a key component of AI, but it's
[45:28] only gotten more important since I wrote
[45:31] that paper because
[45:33] the data centers that are being built in
[45:35] the Middle East are at risk. In the
[45:37] early days of this conflict in the Gulf,
[45:38] Iran made a strategic decision. It
[45:40] struck two AWS data centers in the UAE.
[45:45] Middle East security and data centers,
[45:47] the Latin America factor. Everyone's
[45:48] starting to focus again on how safe
[45:50] Latin America is for data centers, but
[45:52] more importantly, how Brazil already has
[45:55] clean energy and is abundant in it.
[45:57] Mexico and Brazil lead data centers boom
[46:00] amid US policy shakeups. Brazil energy
[46:03] demands and data center growth.
[46:05] Finally,
[46:06] silver.
[46:08] Wrote a piece on silver this week.
[46:11] My favorite commodity in this. You can
[46:13] go learn about why it is a critical
[46:15] component of the AI trade.
[46:17] That's it for me for May this week,
[46:19] guys. Uh I appreciate all the
[46:20] shout-outs. Keep reaching out. Send this
[46:23] to your friends. Subscribe. Subscribe at
[46:25] the at the site.
[46:28] I'll see you guys next week from
[46:30] Brooklyn.

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