Anthony Pompliano

Bitcoin Is The Only Asset That Survives What’s Coming

59:07 min youtube 2026 Semana 22 🇪🇸 ES

Resumen

YouTube: https://www.youtube.com/watch?v=hBEQhSxQYtI  |  Duración: 59 min


◆ Introducción y Panorama General

El episodio presenta a Yan Vanek, CEO de VanEck (gestor de activos de $200 mil millones), para discutir la evolución de Bitcoin, el oro y el auge de los ETFs. Se aborda por qué no se esperan grandes movimientos de precio a corto plazo en Bitcoin debido al estancamiento institucional reciente.

La conversación cubre apuestas estratégicas a largo plazo, la convicción en India y cómo navegar el entorno macroeconómico actual, ofreciendo consejos clave sobre la estrategia de asignación de capital para inversores.

▶ Mercado de Crédito Privado: Oportunidades Infravaloradas

El mercado de crédito privado enfrenta riesgos sistémicos debido a fraudes. Sin embargo, existe una desconexión entre las valoraciones actuales y la solidez económica estadounidense, lo que crea oportunidades atractivas.

Ticker Rol Tesis
Blue Owl Emisor de crédito privado Ofrece altos rendimientos por dividendo (cercanos al 9%) y está infravalorada comparada con valoraciones históricas.

★ Crecimiento de ETFs y Clases de Activos

El negocio de los ETFs sigue creciendo significativamente, siendo un vehículo clave en servicios financieros. Aunque la estadística de tener más ETFs que acciones individuales es engañosa (la mayoría son pequeños), su gran beneficio es la accesibilidad a clases de activos tradicionalmente desatendidas.

El sector de renta fija ha visto una alta liquidez en sus ETFs, aunque se advierte que estos fondos pueden volverse vulnerables durante dislocaciones del mercado.

â–º Oro: Cobertura Global y Legado

VanEck mantiene una cartera diversificada con grandes cantidades de oro y metales preciosos. El orador es optimista sobre la reemergencia del oro como moneda global en los próximos diez años, principalmente como cobertura contra el creciente gasto gubernamental y los déficits presupuestarios.

💰 Recomendaciones de Inversión en Oro

  • Para inversores principiantes sin ayuda profesional, se recomienda iniciar con oro en lingotes debido a su liquidez histórica.
  • Una sugerencia inicial podría ser una distribución de dos tercios en lingotes y un tercio en acciones de oro.

âš¡ IA, Materias Primas e Infraestructura

El crecimiento reciente de las acciones puede estar impulsado por la devaluación del dólar más que por la productividad real. El ciclo de materias primas ha cambiado: el costo de producción está aumentando debido a la inflación global.

La demanda de recursos (como cobre y elementos raros) está siendo fuertemente impulsada por dos factores principales:

  • La revolución de la Inteligencia Artificial, que exige una construcción masiva de centros de datos e infraestructura eléctrica.
  • Las dinámicas de relocalización de cadenas de suministro fuera de China.

â‚¿ Bitcoin vs. Oro: La Perspectiva a Largo Plazo

Bitcoin no ha igualado el reciente auge del oro, pero su desarrollo está impulsado por su ciclo de suministro limitado. La adopción institucional es lenta porque la correlación de Bitcoin con el NASDAQ ha aumentado.

El orador mantiene una visión alcista a largo plazo, argumentando que el factor determinante será simplemente el paso del tiempo y la maduración generacional de los inversores. Se observa un fenómeno de "IPO silencioso", donde minoristas venden sus holdings a profesionales institucionales, reduciendo la volatilidad.

🇮🇳 La Gran Apuesta: India

Existe una tesis de inversión muy fuerte en India con un horizonte de diez años. El país ha implementado políticas favorables para los negocios bajo el gobierno actual, impulsadas por:

  • Adopción tecnológica masiva (identidades digitales y reducción del costo de celulares).
  • Reformas estructurales en leyes laborales y bancarrota.

Aunque el mercado indio ha tenido un rendimiento inferior recientemente, la alta convicción se mantiene, enfatizando que la paciencia a largo plazo es esencial.

🌐 Navegando el Entorno Macroeconómico

El entorno actual es complejo debido a narrativas contradictorias. La tesis central es que se espera un ambiente estable en 2026, sin grandes cambios fiscales o monetarios drásticos. El mayor riesgo, según el ponente, radica en el gasto gubernamental.

🚨 ALERTA CRÍTICA: Deuda y Crisis Social

Existe una grave situación de la deuda del gobierno con riesgo inminente de incumplimiento. La crisis de Seguridad Social es crítica, ya que no tendrá fondos suficientes para 2033 o 2034 si no se cambian los regímenes fiscales.

Esta dinámica financiera se asemeja a un esquema Ponzi y podría forzar al gobierno a desvalorizar la moneda. Los estados también enfrentan riesgo de default por compromisos de pensiones.

🧠 IA: De Asesor a Copiloto

La adopción de IA está transformando radicalmente los flujos de trabajo y aumentando drásticamente la productividad interna en las empresas. Inicialmente, el alto costo de tokens fue una preocupación, pero ahora las compañías están optimizando activamente su uso.

Actualmente, la IA se utiliza principalmente para investigación y procesamiento de datos en fondos gestionados activamente. El consenso es que la IA funciona mejor como un copiloto o asesor inteligente, no como un gestor autónomo, ya que aún existen barreras como los altos costos de transacción.

⚖️ Filosofía e Inversión

La filosofía de VanEck se basa en entender las profundas transiciones globales. Aunque la empresa ha diversificado lejos del oro, mantiene una división dedicada a este activo. La estrategia actual se centra en estas transiciones de diez años y el enfoque en mercados emergentes como India.

El orador critica los datos de sentimiento del consumidor, señalando que son políticamente sesgados; por ello, da más peso a los datos reales de gasto sobre lo que la gente dice sentir.

â—† Buscar el alpha

La tesis central que se observa en la asignación de capital es un claro giro desde las narrativas de crecimiento financiero basadas en datos trimestrales hacia una apuesta por activos reales y estructuras económicas con riesgos sistémicos subyacentes. El dinero está migrando hacia coberturas contra el gasto gubernamental descontrolado y hacia sectores infravalorados que se benefician de la reestructuración global.

  • Rotación a Crédito Privado: Existe una oportunidad atractiva en emisores de crédito privado como Blue Owl. Estas empresas están actualmente infravaloradas, ofrecen altos rendimientos por dividendo (cercanos al 9%) y el negocio subyacente es estable y en crecimiento, mitigando los riesgos sistémicos del sector BDC.
  • Estrategia de Oro: El oro debe ser considerado una cobertura esencial contra déficits presupuestarios crecientes. Para inversores principiantes, se recomienda iniciar con lingotes físicos (dos tercios) y complementar con acciones mineras (un tercio).
  • Apuesta Estructural en India: Se mantiene una alta convicción a largo plazo (horizonte de diez años) en la economía india debido a reformas estructurales favorables, masiva adopción tecnológica e impulso del PIB, ignorando las fluctuaciones trimestrales recientes.
  • Enfoque Macroeconómico vs. Sentimiento: Los datos de sentimiento del consumidor son poco fiables y políticamente sesgados. El foco debe estar en tendencias macroestructurales a gran escala, especialmente la deuda gubernamental y el riesgo inminente de default fiscal.
  • Reconfiguración de IA: La preocupación inicial por los altos costos de tokens se está resolviendo mediante una optimización activa del uso de IA por parte de las empresas. Esto no solo mantiene la eficiencia sino que impulsa un crecimiento masivo de ingresos para los proveedores de modelos de lenguaje.
Activo Señal Lectura
Blue Owl (Crédito Privado) Comprar/Mantener Infravalorada, alto rendimiento por dividendo (~9%), negocio estable.
La vuelta de tuerca: El invitado está señalando que la narrativa dominante sobre el crecimiento se basa en datos superficiales y es engañosa. La verdadera oportunidad reside en entender las tensiones sistémicas (deuda, gasto público) y posicionarse en activos que actúan como refugio o que son beneficiarios estructurales de los cambios geopolíticos y tecnológicos a largo plazo.

► Resumen por capítulos

Intro (0:00)

El presentador inicia señalando que la evolución de Bitcoin es autónoma y difícil de predecir. Observa que en los últimos dos años no ha habido cambios drásticos en su adopción institucional. La entrada al mercado se ha limitado principalmente a inversores financieros a través de ETFs, sin una participación masiva de bancos centrales o corporaciones. Este estancamiento lleva a cuestionar por qué esperar grandes movimientos de precio. El episodio presenta a Yan Vanek, CEO del gestor de activos Vanek, una firma de 200 mil millones de dólares. En la conversación se abordarán Bitcoin, oro y el auge de los ETFs. También discutirán las apuestas estratégicas a largo plazo, la convicción en India y cómo navegar el entorno macroeconómico actual. Finalmente, ofrecerá consejos sobre la estrategia de asignación de capital para inversores.

Private credit market & where the opportunity is (1:14)

El mercado de crédito privado enfrenta preocupaciones sistémicas debido a fraudes y riesgos, especialmente en los BDC. Existe una desconexión entre la valoración actual de estos vehículos, que asume altas tasas de incumplimiento, y la realidad económica estadounidense, que se mantiene sólida. Esta situación genera oportunidades atractivas en emisores de crédito privado como Blue Owl. Estas acciones han experimentado caídas significativas pero ofrecen altos rendimientos por dividendo cercanos al 9%. El negocio subyacente de gestión de activos sigue siendo una empresa estable y en crecimiento. Además, estas compañías están actualmente infravaloradas comparadas con sus valoraciones históricas.

ETF industry growth & what most people miss (4:26)

El negocio de los ETFs sigue creciendo significativamente y representa un área clave en los servicios financieros. La estadística popular sobre tener más ETFs que acciones individuales es engañosa porque la mayoría de estos fondos son pequeños. Un beneficio importante de los ETFs es la accesibilidad a clases de activos tradicionalmente desatendidas. El sector de renta fija es enorme, y sus ETFs se han convertido en vehículos muy líquidos. Sin embargo, el orador señala que los ETFs de renta fija son un caso particular o diferente del resto del mercado. Estos fondos pueden volverse vulnerables durante las dislocaciones del mercado.

VanEck's history & gold as a core asset class (6:09)

VanEck mantiene una cartera diversificada que incluye grandes cantidades en oro y metales preciosos, aunque históricamente su enfoque se ha centrado en el sector minero de oro. El orador considera el oro como una clase de activo muy poderosa, especialmente en entornos económicos específicos. Es optimista sobre la reemergencia del oro como moneda global durante los próximos diez años. La principal razón para poseer oro es actuar como cobertura contra el creciente gasto gubernamental y los déficits presupuestarios. Existen varias formas de invertir en oro, incluyendo lingotes físicos, ETFs o acciones de mineras. Para quienes comienzan a invertir sin ayuda profesional, se recomienda iniciar con oro en lingotes debido a su liquidez histórica. Una sugerencia inicial podría ser una distribución de dos tercios en lingotes y un tercio en acciones de oro.

AI, commodities & the infrastructure buildout (9:42)

El análisis compara el rendimiento de oro y acciones, sugiriendo que el crecimiento reciente de las acciones podría estar impulsado más por la devaluación del dólar que por la productividad real. Se señala un cambio en los ciclos de materias primas; a diferencia de décadas pasadas, ahora el costo de producción de commodities está aumentando debido a la inflación global. La demanda de materias primas está siendo fuertemente impulsada por la revolución de la Inteligencia Artificial y la necesidad masiva de construir centros de datos e infraestructura eléctrica. Esta situación crea una búsqueda global de suministro para satisfacer la creciente demanda energética y tecnológica. Además, las dinámicas de relocalización de cadenas de suministro fuera de China aumentan indirectamente la necesidad de recursos como el cobre y los elementos raros.

Bitcoin vs. gold — why BTC hasn't kept up (12:34)

Bitcoin no ha igualado el reciente auge de metales como oro y plata, pero su desarrollo está impulsado principalmente por su ciclo de suministro limitado. La adopción institucional sigue siendo lenta porque la correlación de Bitcoin con el NASDAQ ha aumentado significativamente, lo cual disuade a muchos gestores de activos. El orador mantiene una visión alcista a largo plazo, argumentando que el factor determinante es simplemente el paso del tiempo y la maduración generacional de los inversores. Se observa un fenómeno de "IPO silencioso", donde parte de los inversores minoristas venden sus holdings a profesionales institucionales. Este cambio en la propiedad está reduciendo la volatilidad y la asimetría, lo que afecta la atracción para diferentes tipos de inversionistas.

VanEck's big bet on India (22:22)

El orador defiende una tesis de inversión a largo plazo en India con un horizonte de diez años. Argumenta que India ha implementado políticas muy favorables para los negocios bajo el gobierno actual. Los impulsores clave incluyen la adopción tecnológica masiva, como las identidades digitales accesibles y la reducción del costo de celulares. Además, se han realizado reformas estructurales en leyes laborales y bancarrota para facilitar el comercio. Esto está generando el mayor crecimiento del PIB proyectado, comparable al de Europa continental en una década. Aunque el mercado indio ha tenido un rendimiento inferior recientemente, el orador mantiene una alta convicción en su potencial futuro. Subraya que la paciencia a largo plazo es esencial y no se debe dejarse llevar por las fluctuaciones trimestrales.

Navigating today's macro environment (28:49)

El entorno macroeconómico actual es muy complejo porque diferentes indicadores ofrecen narrativas contradictorias sobre la inflación y el crecimiento. La tesis central del ponente es que se espera un ambiente estable en 2026, sin grandes cambios fiscales o monetarios significativos. El orador considera que la Reserva Federal es inteligente y entiende sus límites, mientras que los políticos a menudo proponen soluciones insostenibles para obtener victorias mediáticas. Su mayor preocupación radica en el gasto gubernamental, por lo que aconseja a los inversores centrarse en estas tendencias macroestructurales de gran escala.

U.S. government debt & the Social Security crisis (34:06)

Los participantes discuten la grave situación de la deuda del gobierno y el riesgo inminente de incumplimiento de obligaciones. La crisis de Seguridad Social es particularmente crítica, ya que no tendrá fondos suficientes para 2033 o 2034 si no se cambian los regímenes fiscales. Se argumenta que los estados también están en una situación de default por sus compromisos de pensiones. Esta dinámica financiera se asemeja a un esquema Ponzi, donde los políticos posponen la verdad sobre la falta de fondos. Un posible "reset" podría significar que los beneficiarios reciban solo 80 centavos por dólar. Además, para abordar estos problemas, el gobierno probablemente tendrá que desvalorizar la moneda.

Balancing economic data & sentiment (38:12)

El orador critica la fiabilidad de los datos de sentimiento del consumidor, señalando que a menudo son políticamente sesgados y no coinciden con el comportamiento real de gasto de las personas. Sostiene que las estadísticas económicas a corto plazo pueden ser muy engañosas, por lo que da más peso a los datos reales de gasto que a lo que la gente dice sentir. Los consumidores promedio se preocupan principalmente por el aumento agregado del costo de vida en su día a día, independientemente de la complejidad de la inflación. Respecto al empleo y la IA, aunque es una preocupación, la economía actual es tan vibrante que los grandes cambios estructurales no son visibles inmediatamente en las tendencias laborales.

Corporate AI adoption & the token cost problem (44:31)

La adopción de la IA en las empresas está transformando radicalmente los flujos de trabajo y aumentando drásticamente la productividad interna. Inicialmente, el uso masivo de herramientas de IA generó preocupaciones sobre los altos costos asociados al consumo de tokens. Sin embargo, las compañías están pivotando su enfoque para optimizar activamente el uso de estas tecnologías. Los equipos buscan mantener las ganancias de eficiencia mientras reducen significativamente sus facturas de cómputo. Esta búsqueda de la eficiencia en el gasto está impulsando una adopción generalizada y explosiva de la IA a nivel industrial. A pesar de los esfuerzos individuales por reducir costos, esto se traduce en un crecimiento masivo de ingresos para los proveedores de modelos de lenguaje.

When will AI make investment decisions? (49:28)

Actualmente, la IA se utiliza principalmente para investigación y procesamiento de grandes volúmenes de datos en fondos gestionados activamente. La implementación total de decisiones de inversión por parte de una IA enfrenta barreras como los altos costos de transacción y la desconfianza sobre si el sistema podría fallar. Aunque algunos clientes confían en las ideas generadas por la inteligencia artificial, todavía actúan como el cuello de botella final para tomar la decisión. El consenso es que la IA funciona mejor como un copiloto o asesor inteligente, no como un gestor autónomo. Su mayor valor reside en aplicar principios de economía conductual para contrarrestar los sesgos humanos inherentes a la toma de decisiones financieras. Por lo tanto, el futuro cercano apunta a una colaboración entre la inteligencia artificial y el juicio humano.

Jan's father's legacy & what guides VanEck today (56:33)

La filosofía de la firma se basa en el legado del padre, quien creía que entender los cambios globales permite crear oportunidades para los clientes. Sus primeras apuestas exitosas incluyeron acciones internacionales y oro. Actualmente, aunque la empresa ha diversificado lejos del oro, mantiene una importante división dedicada a este activo. La estrategia actual se centra en las profundas transiciones de diez años e incluye el enfoque en mercados emergentes como India. El orador cree que su padre estaría muy entusiasmado con la inversión en India. Además, ambos coinciden en que los gastos gubernamentales son una preocupación constante y seria para el futuro del mercado.

Generado con algoritmo v1-chunked · modelo google/gemma-4-e4b · 2026-05-27T16:00:00Z

Transcripción

[0:00] I think it's impossible to say Bitcoin
[0:02] should do X Y or Z,
[0:04] >> right? I mean, the the reason I got
[0:06] interested in it in 2017 is it's its own
[0:08] thing and it's going to evolve as
[0:12] adoption changes. Now, what what has
[0:14] changed in the adoption story in the
[0:16] last two years? Nothing, right? Central
[0:18] banks haven't come on board,
[0:19] corporations haven't come on board. It's
[0:22] it's basically been some financial
[0:24] investors through the ETFs, but not many
[0:26] institutions. Slowly asset allocators
[0:29] have started to include it, but not not
[0:31] dramatic. So why would you expect some
[0:32] big change in the price of Bitcoin when
[0:34] nothing has happened? I mean the way I
[0:36] look at it is still the oldfashioned
[0:37] way. Very simplistic. I'm an over I like
[0:40] to oversimplify. What's going on guys?
[0:42] Today we've got a conversation with Yan
[0:43] Vanek. Jan is the CEO of Vanek. They're
[0:46] a $200 billion asset manager and one of
[0:48] the leading ETF companies. In this
[0:50] conversation, we talk about Bitcoin,
[0:52] gold, the rise of ETFs, why Jan has so
[0:55] much conviction in the country of India,
[0:57] how he thinks about making long-term
[0:58] strategic bets, and then we get into
[1:00] what is in his personal portfolio, where
[1:03] his convictions are, how he's navigating
[1:04] the macro environment, and what he
[1:06] thinks you should know as an investor
[1:08] and how you should change your capital
[1:10] allocation strategy based on what he's
[1:11] seeing in the world. Here's my latest
[1:13] conversation with Yan Vanek. All right,
[1:15] Yan. Uh, private credit has been a huge
[1:17] issue. People are very worried about it.
[1:18] Are you worried or what do you think's
[1:19] going on?
[1:20] >> Uh, you went right into my favorite
[1:22] topic. Uh, listen, first quarter, a lot
[1:26] of concern. Well, end of last year,
[1:29] Jamie Diamond says cockroaches.
[1:31] Remember, we had two frauds in the in
[1:32] the private lending markets. Cockroaches
[1:34] meaning there's an, you know, sort of
[1:36] systemic problem is is the risk. And JP
[1:39] Morgan should know they lend a lot into
[1:41] the private space, right? Whether it's
[1:43] private equity, private credit, BDC's,
[1:46] everything, they're all over it. So you
[1:47] think you'd be really informed. So there
[1:49] were a lot of fears about alternative
[1:50] credit and as as we said in the
[1:53] beginning of January, the selloff is
[1:54] going to happen in the BDC space because
[1:56] they're liquid. So every day every every
[1:58] day the market's open, you can sell your
[2:00] BDC um holdings and BDC's had a whole as
[2:04] a whole went to a 20% discount to NAV.
[2:06] So NAV is, you know, only calculated
[2:09] once a quarter. So it's a stale as soon
[2:11] as they print it kind of statistic. But
[2:14] 20% if these if these BDC is on average
[2:17] leveraged two times a 20% haircut means
[2:20] that you've got a 10% default rate.
[2:22] Right? High yield is defaulting at 2 and
[2:25] a.5%. So so the BDC's are pricing 10%
[2:29] default whereas the reality of high
[2:32] yield market now arguably is that's
[2:34] high-graded a little bit is a 2 and a
[2:35] half%. That's just a disconnect. And I
[2:37] layer on top listen the world economy
[2:40] sorry the US economy it's in good shape
[2:43] right? So, corporate America is in good
[2:45] shape. So, there's no reason to think
[2:47] we're going to get this huge spike in
[2:48] defaults. So, that's why I'm really
[2:50] excited. Now, even more exciting to me
[2:52] is some of the private credit issuers
[2:55] like the stocks of Blue in particular. I
[2:57] like way down, right? That it's it's
[3:01] come down, you know, I don't know, 20,
[3:02] 30, 40%.
[3:04] The stock itself, the dividend yield at
[3:07] whatever tennis a share, which is where
[3:09] it's at this morning, is like 9%. Mhm.
[3:12] >> So you get the upside of the business.
[3:14] They raised money in Q1. So despite all
[3:16] these concerns, they're a growing
[3:18] business. Slowed down but still growing.
[3:21] Yes. Some of their funds had
[3:22] redemptions. Anyway, so to me, that's a
[3:24] very exciting story.
[3:25] >> So when you when you look at let's take
[3:26] Blue Owl as just a hypothetical example
[3:28] here. So uh it has a very high yield on
[3:30] the stock itself. And then how do you
[3:32] underwrite the actual business prospects
[3:33] going forward? You just look at capital
[3:35] raised and then you try to underwrite as
[3:37] best you can in terms of the the
[3:38] solvency of the strategies. Yeah, I mean
[3:41] look, it's asset management is a
[3:42] generally growing business. These these
[3:45] companies remember a year or two ago had
[3:47] been trading at 30 to 40 times forward
[3:50] earnings. That's crazy, right? So of
[3:53] course way overpriced against the
[3:55] market. Now they're underpriced where
[3:58] they started life. You know, before
[3:59] anyone heard of Blackstone, right? These
[4:02] stocks were 10 times earnings because no
[4:03] one thought their performance fees were
[4:05] going to be recurring. So they didn't
[4:07] give them any value. So, uh, yeah, I
[4:10] think the I'm not even betting even if
[4:13] the business stays the same. I'm getting
[4:15] I'm clipping a 9% dividend yield and
[4:17] these are really bright guys. So much
[4:20] pain is in the stock already. They and
[4:22] they're growing. I mean, the business is
[4:24] growing, but it's stable. I'd still
[4:26] maybe put in your fixed income bucket.
[4:27] >> Now, when I look at uh the industry in
[4:29] general, you said asset management is
[4:31] going to continue to grow. But one of
[4:32] the stats that everyone has kind of held
[4:33] on to now and is yelling and screaming
[4:35] about is there's more ETFs than there
[4:37] are individual stocks. And I liked Eric
[4:39] Balchunis. He said, you know, yes, there
[4:40] are more words than there are letters.
[4:42] There's more songs than there are
[4:44] chords. But generally, do you see this
[4:46] as kind of a a 10 20 year run where
[4:49] you're going to continue to see all of
[4:50] these asset managers, whether it's Vanic
[4:52] in their private market or some of these
[4:53] public traded ones, just there's a
[4:55] massive tailwind that people doesn't
[4:57] understand.
[4:57] >> Yeah. The ETF business continues to
[4:59] explode, right? not explode but it's the
[5:01] it's the growth area of financial
[5:03] services
[5:04] >> and uh you know ETFs are like popcorn
[5:07] you and I have talked about some of the
[5:08] the the pop when the kernel you know
[5:10] goes off I mean suddenly you have a
[5:12] couple billion in aum in an ETF so but
[5:15] the vast majority of ETFs are below 100
[5:17] million right so uh you know that's is
[5:20] kind of a misleading statistic as far as
[5:22] I'm concerned you know I was talking
[5:23] about the ETF industry earlier today and
[5:25] I think where people don't appreciate is
[5:29] the accessibility to sort of underserved
[5:31] asset classes. I know Bitcoin is
[5:33] something you know we can talk about but
[5:35] fixed income is a huge area right so if
[5:38] you look at our fixed income ETFs only
[5:41] probably five or 10% of the bonds in any
[5:44] fixed income ETF forgetting governments
[5:46] trade on any given day so it's really
[5:49] become a very liquid vehicle now it's
[5:52] vulnerable when you have market
[5:54] dislocations so if you look at the
[5:56] industry as a whole I don't care about
[5:58] the growth I think it's great I don't
[5:59] care about the proliferation of ETFs
[6:01] competition is healthy. But the thing to
[6:04] remember is fixed income ETFs are kind
[6:07] of a different cat. Um,
[6:09] >> now when I look at your guys business, I
[6:10] think these numbers are as of 331.
[6:12] You've got about 200 billion in assets.
[6:14] 100 billion are in US and international
[6:16] equities. Uh, 45 billion is in gold and
[6:18] precious metals. 19 billion is in US and
[6:21] international fixed income. And then 20
[6:23] billion is in natural resources and
[6:25] commodities. My takeaway from that is
[6:27] you expect equities to be much bigger.
[6:28] But I think to your point having 20
[6:30] billion in fixed income and 20 billion
[6:32] in natural resources and then another 45
[6:34] billion in um gold and precious metals
[6:37] like you guys are pretty wellrounded
[6:39] here right you really do offer I think a
[6:41] full suite to an investor and it's kind
[6:43] of the DNA of the firm of how you guys
[6:45] started with the big bet on gold in the
[6:47] early days right
[6:48] >> when I when I joined Van we basically
[6:50] had one fund it was a gold mining fund
[6:52] it was a mutual fund that was the fund
[6:54] that my dad became famous for in 1968 he
[6:57] started the first gold fund
[6:59] Gold shares are so volatile. Um, you
[7:02] know, from 2011 to 2016, gold mining
[7:06] shares went GDX was down 90%.
[7:09] >> Wow.
[7:10] >> No one no one realizes what decimation
[7:13] happened in natural resource in the last
[7:14] decade. But to your point, I kind of
[7:17] historically come to work, I describe
[7:18] it, what do I do in the morning? I try
[7:20] to get away from gold and diversify
[7:22] because if you're, you know, that's your
[7:24] revenue stream as a business, right?
[7:26] There's no fall back. um then you want
[7:28] to diversify. So luckily VANC is uh has
[7:31] been successful in a number of different
[7:32] asset classes.
[7:33] >> Now when people think about gold, let's
[7:35] just start with that as as one single
[7:36] asset class. Um I think that there's a
[7:39] couple different ways that they can play
[7:40] this. They can obviously buy physical
[7:41] gold. They can allocate to an ETF and
[7:43] just get underlying gold exposure. There
[7:45] are the miners. There's these now gold
[7:48] streaming companies or kind of royalty
[7:50] type businesses. How do you think about
[7:52] gold exposure in someone's portfolio? Is
[7:54] there a kind of a hey start here and
[7:56] then expand over time? Do they want a
[7:57] bucket of these in and kind of a equal
[7:59] waiting? What what do you when you're
[8:01] talking to clients? How do you think
[8:02] about it?
[8:03] >> Our number one question when we talk to
[8:05] people about investing is do you want
[8:07] the asset class? Right? Your asset class
[8:09] decision is so important and gold is a
[8:12] very very powerful asset class in the
[8:15] right economic environment. I'm not like
[8:17] my dad. I'm not like an always gold guy.
[8:19] Uh I am very bullish over the next 10
[8:22] years because I think gold is reemerging
[8:24] as a global currency. But the number one
[8:26] question is do you want to own it or
[8:27] not? Why do you own it? So I own it
[8:31] because I'm really worried about
[8:33] government spending. Um our budget
[8:35] deficit has come down in the last couple
[8:37] of years from six and a half to maybe
[8:38] low fives in terms of a percent of GDP.
[8:42] If we're spending half a trillion more
[8:44] on this Iran war, which is what's been
[8:47] said, it's not showing through in the
[8:49] numbers at all right now, but if that
[8:51] happens, then absolutely I think people
[8:53] need a hedge in their portfolios because
[8:55] that will pull everything down. And
[8:56] actually, short-term it'll pull gold
[8:58] down as well, Anthony. So anyway, that's
[9:00] my thinking about that. And I'd love to
[9:03] get your views on, you know, if if there
[9:05] were, I'll call it a freakout because of
[9:08] government spending, you could have the
[9:10] 10-year jump 200 basis points. I don't
[9:12] think there's going to be anywhere to
[9:13] hide even even gold. But but medium
[9:16] long-term, I think gold is is something
[9:18] you want. Start with gold bullion. If
[9:21] you you know, if you don't have someone
[9:23] helping you with the allocation, that
[9:25] would be the biggest thing um in my
[9:27] portfolio because of its historical
[9:29] liquidity. Gold shares are kind of an
[9:32] add-on to that. Maybe 2/3 bullion,
[9:34] one-/3 gold shares if I was just to
[9:36] start somewhere. Yeah.
[9:38] >> But um you know, more of our business is
[9:40] now doing model allocation.
[9:42] >> Yeah. What was so fascinating to me is
[9:44] you know, if you go back to I don't know
[9:46] 10, 15, maybe 20 years ago and you said
[9:48] to someone, I'm going to buy gold
[9:49] instead of buy equities. Uh and I think
[9:51] gold may outperform. First of all, I
[9:52] don't think there's that many people
[9:53] saying they were buying gold because
[9:54] they thought it was going to outperform
[9:55] as much as they were basically buying it
[9:56] as protection, right? So equities was
[9:58] for growth. gold's for protection. Now,
[10:01] the argument was always that, hey, the
[10:02] equities are productive, right? You're
[10:04] going to get cash flow, you're going to
[10:04] get yield, you're going to be able to do
[10:05] all this stuff. There have been certain
[10:07] times over the last two years where if
[10:09] you look back 25 years, gold has
[10:10] actually outperformed equities. It's
[10:12] very fascinating to me because it
[10:14] suggests that maybe a lot of the equity
[10:16] growth has really just been the
[10:18] debasement of the dollar more so than
[10:19] the productivity of the underlying
[10:21] companies. Is that how you look at it?
[10:22] It's been a horrible time for the
[10:23] equities and that's what I was you know
[10:25] that's why I was pointing out that big
[10:26] draw down from 2011 to 2018 2016 if you
[10:30] take a big step back the big first big
[10:32] commodity cycle in the US was in recent
[10:34] history was the 1970s and the beauty of
[10:37] that cycle for the companies their cost
[10:39] of production didn't go up so the price
[10:41] of gold went from 35 to over $800 an
[10:45] ounce cost of producing gold didn't
[10:46] really change what's happened over the
[10:48] ensuing decades including the 2000s the
[10:51] China boom is that the cost of producing
[10:53] commodities has started to increase with
[10:56] the cost of inflation and it's basically
[10:58] we're running out.
[10:59] >> So it's you have to dig more tons of
[11:02] dirt for every little ounce of gold. Um
[11:05] and that that extends throughout the
[11:06] resources universe. So the equities, you
[11:09] know, we're punished for that. They're
[11:11] like great, you know, Anthony Yan, you
[11:13] know, I can, you know, gold's at 4500 or
[11:15] whatever it is an ounce, but you know,
[11:17] your costs keep going up. It's like the
[11:19] opposite of when you look at the tech
[11:21] companies like Nvidia or all the hypers
[11:23] scale, their margins are beautiful. They
[11:26] just sit there in the high 70s, right?
[11:28] Why would you want to own a company
[11:29] where the margins are shrinking every
[11:31] year? So that's been the overhang. And
[11:33] you're right, over the recent past, it's
[11:34] been been really bad. Now, in a bullish
[11:36] environment, you can overcome that.
[11:38] >> Yeah. What's fascinating about the
[11:39] commodities in particular is also uh
[11:42] most people don't think of AI and
[11:43] commodities being hyperlin together but
[11:46] obviously we have seen that this
[11:47] commodity bull market is being heavily
[11:49] driven by oh wait a second we need more
[11:51] power we need to build data centers we
[11:53] need to build out electrical
[11:54] infrastructure that is made up of
[11:56] commodities we have to go find this
[11:58] stuff and so there's almost this like
[12:00] global treasure hunt if you will trying
[12:02] to find uh enough supply to meet the
[12:05] demand and I don't see that changing
[12:07] anytime soon. What about you?
[12:08] >> Uh, no, I don't see it. You're right.
[12:10] It's the the new world needs the old
[12:12] world and you've got the reshoring
[12:14] dynamic, right? All the supply chains
[12:17] need to be independent of China. So,
[12:19] that's rare earth. That's not directly
[12:21] for AI compute, but u but indirectly it
[12:23] is. Uh, but yeah, copper and all the
[12:26] commodities uh all the processing. So,
[12:28] you've got the yeah, the double kick of
[12:31] we need more and we need it home.
[12:34] Now when you look at um gold and silver
[12:38] in particular, those two had exploded
[12:40] over the last, you know, two years or
[12:41] so, um in a weird way, Bitcoin has not
[12:45] kept up. And so some people say, hey,
[12:47] well, that means that Bitcoin's got to
[12:48] catch up. Other people would argue
[12:49] actually that means gold is going to
[12:51] kind of correct and you know, gold and
[12:53] Bitcoin will meet again. How do you look
[12:55] at the relationship between these two
[12:56] assets?
[12:57] >> I I I think it's impossible to say
[12:59] Bitcoin should do X, Y, or Z,
[13:02] >> right? I mean the the reason I got
[13:04] interested in it in 2017 is it's its own
[13:06] thing and it's going to evolve as
[13:10] adoption changes. Now what what has
[13:12] changed in the adoption story in the
[13:14] last two years? Nothing, right? Central
[13:16] banks haven't come on board,
[13:18] corporations haven't come on board. It's
[13:20] it's basically been some financial
[13:22] investors through the ETFs, but not many
[13:24] institutions,
[13:25] >> right? Uh so slowly asset allocators
[13:29] have started to include it, but not not
[13:31] dramatic. So why would you expect some
[13:33] big change in the price of Bitcoin when
[13:34] nothing has happened? I mean the way I
[13:36] look at it is still the oldfashioned
[13:37] way. Very simplistic. I'm an over I like
[13:40] to oversimplify. Limited supply like
[13:43] gold for your happening cycle or your
[13:46] happening cycle has driven because
[13:48] that's the amount of Bitcoin that miners
[13:50] get to run the network. That has caused
[13:52] a decline right in their profitability
[13:54] and a decline every four years in
[13:56] Bitcoin. Guess what? 2026 is the year of
[13:58] decline in Bitcoin. wh why you know why
[14:01] would it break the cycle this year given
[14:04] that nothing has changed on the adoption
[14:06] side. So, uh, I I'm still long-term
[14:08] bullish. Uh, and I just don't get the
[14:11] narrative of it should, you know, link.
[14:13] Well, actually, it's been a negative to
[14:15] me that Bitcoin has had this higher
[14:17] correlation to the NASDAQ since co,
[14:19] right? It's it used to have zero
[14:21] literally zero correlation and now it's
[14:23] had a 6 correlation, which is really
[14:25] high, right? A correlation of one is the
[14:27] identical performance.
[14:29] >> So, I you know, that's kind of where I'm
[14:31] at. I I don't like and and even Wait a
[14:34] minute wait, it's it's it's a longterm
[14:35] story. Yeah.
[14:36] >> Do you see sophisticated institutional
[14:38] investors actually walking away from or
[14:40] not investing in Bitcoin because the
[14:41] correlations have risen?
[14:43] >> I think allocators, right? So, if you
[14:46] think about a lot of America's wealth
[14:49] through financial advisors
[14:52] um is in these big model portfolios,
[14:54] right? They follow the chief investment
[14:56] officers of a Morgan Stanley or a Maril
[14:58] Lynch or something like that. And so
[15:00] your average advisor is doing less and
[15:02] less of the fund picking or the Bitcoin
[15:05] allocation.
[15:07] >> Those allocators are open to uh to
[15:10] Bitcoin. Um especially with the ETF kind
[15:13] of approval, implicit approval of the US
[15:15] government, but they absolutely do not
[15:17] like the correlation. It will right they
[15:20] they'll just say I'll have 1% as opposed
[15:22] to 2%. Or 2% as opposed to 4%.
[15:25] Absolutely. I think it's hurt adoption.
[15:28] >> Yeah. Now,
[15:28] >> I hope it changes. I don't know if you
[15:30] have a view on that.
[15:31] >> I think that it just takes time. I mean,
[15:33] I've been saying for years, people
[15:34] always ask, you know, what has to happen
[15:35] for Bitcoin to go higher and I would
[15:36] just say the expiration of time and I
[15:38] know people don't like that answer,
[15:39] right? But like there is an element of
[15:41] you need young people to become a little
[15:42] bit older. They need to make more money.
[15:44] They already are sympathetic to Bitcoin
[15:45] and so they're going to continue to put
[15:46] more money in. You need these young
[15:48] people who are analysts or um you know
[15:50] kind of associates at the financial
[15:52] firms to become the managing directors
[15:54] or the CIOS and get into positions of
[15:56] power and influence and control. Um you
[15:58] need to have the kind of Lindy effect of
[16:01] okay this thing has not only been around
[16:03] for 10 years, 12 years, 15 years now
[16:06] it's been around for 50 years, right?
[16:07] And so people just continue to allocate
[16:09] to it because they realize it's not
[16:11] going away. And so it's in a world of
[16:14] Bitcoin where people as like a
[16:17] population have been so instrumental in
[16:19] making it successful.
[16:21] >> The most important thing to happen to
[16:23] Bitcoin is the thing that none of us
[16:24] control. It's just time. You can't speed
[16:26] it up. And so you just got to kind of
[16:27] let it happen. And if you go back, you
[16:29] know, two and a half years ago, what?
[16:31] There's no ETF, right? A lot of these
[16:33] institutions aren't participating. Larry
[16:35] Frink is not on television acting as
[16:37] the, you know, CMO of Bitcoin, right?
[16:39] Like all this stuff. And so in a weird
[16:41] way u just the passage of time the
[16:44] normalization I think you get more
[16:46] capital more interest that the media
[16:48] actually
[16:48] >> now treats it much more like an asset
[16:51] that is not going away
[16:52] >> they will still claim it's dead or you
[16:54] know you guys are idiots for putting in
[16:55] your portfolio or you're too bullish or
[16:57] you know whatever their critique is
[16:58] >> but people forget I mean 5 years ago
[17:01] >> if you said that you thought Bitcoin was
[17:02] going to 100 grand these people were
[17:04] they'd crucify you right I mean they
[17:06] literally were like you guys are stupid
[17:07] this thing is complete zero
[17:09] >> and So, what I think is interesting is
[17:11] Bitcoin has passed into, you know, kind
[17:13] of the the major leagues is the way I
[17:15] think about it. I think stable coins
[17:17] have as well, but that long tale of
[17:19] crypto, I mean, it's not like you guys
[17:21] ran out and filed for, you know, 50
[17:23] crypto altcoin ETFs, right? And so, I
[17:26] just don't see interest in that stuff in
[17:29] what I consider like the major leagues
[17:30] of uh of finance. Yeah, I think there's
[17:33] an aspect of that level of patience
[17:36] which really rings loudly in my ears and
[17:39] it it the first time um this kind of
[17:42] concept was driven home to me I was
[17:44] listening to the all-in pod and they
[17:46] were talking about internet stocks like
[17:48] Amazon like the winners what was
[17:51] happening to their stocks after the you
[17:53] know the blowoff in in 2000 right as as
[17:56] in NASDAQ took what 15 years to break
[17:59] even whether and it's just the rotation
[18:02] in the ownership of those stocks, right?
[18:05] Where people who had lost money were
[18:07] selling for g, you know, tax reasons and
[18:10] then new buyers would come in, but then
[18:12] the price would go up and the people
[18:14] were like, "Oh, I'm even. I'm out." And
[18:16] there's just it was a multi-year
[18:18] process. I don't there's I don't know if
[18:20] there's a good word for it. If there is,
[18:21] I don't I don't know what it is, but I
[18:23] find that's very similar to like what's
[18:25] happened to Nvidia over the last nine
[18:27] months, right? fabulous stock over the
[18:29] last five years, right? But over the
[18:31] last last nine months, despite this huge
[18:33] compute shortage, it's been grinding,
[18:37] you know, and I just think I think it's
[18:39] it's just the replacement of ownership
[18:41] and I think that's happening in Bitcoin
[18:43] and it's almost foreseeable, right? We
[18:45] were we were talking if you remember at
[18:47] the end of last year and we were
[18:49] basically saying this was going to
[18:50] happen. It was going to be quiet. We
[18:52] we're both big Bitcoin owners, I
[18:54] believe, right? But we're like, it's
[18:55] just going to be boring. And I think
[18:58] part of it is that that churn churn is a
[19:01] negative word, but you know what I mean?
[19:02] It's like replacement. Maybe it's a
[19:04] re-energiz energizing or something of
[19:06] the of the ownership base.
[19:07] >> Jordi Bisser calls it like a silent IPO,
[19:10] right? As you basically have like in a
[19:11] normal IPO, you have all the private
[19:13] investors and they basically are handing
[19:14] it to the institutions of the public
[19:16] market and there's this like changing of
[19:17] the guard, right? And his his point is
[19:20] basically that is what Bitcoin has been
[19:21] going through over the last year or so
[19:23] is this replacement or the changing of
[19:25] hands from what are really the hardcore
[19:28] retail individual Bitcoiners.
[19:30] >> Yeah.
[19:31] >> Some portion of them, not all of them,
[19:32] but some portion of them have been
[19:34] selling. And you can see where the
[19:36] buying is coming from. And the question
[19:38] is just how long will it take for that
[19:41] changeover to happen. Now the nice thing
[19:43] I believe is that when the institutions
[19:45] hold Bitcoin, they don't really sell
[19:47] that much. Right. And so you're actually
[19:49] almost taking it from people who did
[19:51] have really strong kind of diamond hands
[19:53] and you're handing it to professional
[19:55] diamond hands.
[19:56] >> And so that should lay the groundwork.
[19:58] >> But I also think the volatility
[20:00] compressing a lot of Bitcoiners like
[20:02] Bitcoin because it was super volatile.
[20:03] Yeah.
[20:04] >> You know, the thing that scared away
[20:05] institutions attracted the individuals,
[20:06] >> right?
[20:07] >> Now I I think that we've reached a
[20:09] volatility point where the institutions
[20:10] are interested, which means that the
[20:12] like cowboys of finance, they're like,
[20:15] h, is it going to go up 30% a year?
[20:17] They're like, "Nah, where's the thing
[20:18] that's going to go up 200%."
[20:20] >> Stocks, let's go.
[20:21] >> Right. Yeah. So, I I do think that
[20:24] there's this very interesting dynamic of
[20:27] you have people who are early to a lot
[20:29] of these trends, what they're actually
[20:30] seeking is the asymmetry and the
[20:31] volatility.
[20:32] >> If Bitcoin's asymmetry is gone and now
[20:35] you basically have something that
[20:36] compounds at 30% a year for the next
[20:37] decade, any traditional investor would
[20:40] be a static.
[20:42] But the hardcore Bitcoiners that were
[20:44] there for the volatility and and the
[20:45] quoteunquote fun, they're like the stock
[20:49] market does that.
[20:49] >> They'd be ecstatic, but they'd be
[20:51] thrilled if that correlation came down.
[20:53] >> Correct. Cuz that's the that's the you
[20:56] know, who needs more cues, right? That's
[20:57] kind of the thing. I like I like the
[20:59] silent IPO concept. You know, when I was
[21:02] I've been watching Nvidia, obviously
[21:03] it's the biggest holding in SMH, so I
[21:05] watch it very closely. But uh SoftBank
[21:08] last year announced they were selling
[21:09] their early investor in Nvidia. They
[21:11] were selling all their Nvidia and that's
[21:12] kind of what your point is, right? It's
[21:14] like an IPO process like they were
[21:16] getting out. They probably have other
[21:18] things that they can make 10 jillion
[21:20] times their money at, right? But um
[21:22] yeah, interesting. I
[21:23] >> it's also like what is your game, right?
[21:25] If I think of you and Van, I think that
[21:27] you you have a very specific game that
[21:28] you guys play, right? Both in terms of
[21:30] as you and I have talked over the years
[21:31] about your personal portfolio or the
[21:32] firm's, you know, kind of allocation of
[21:34] capital, uh but also the products that
[21:36] you offer, right? I think it's a very
[21:37] unique approach and mentality compared
[21:40] to, you know, take the exact opposite
[21:42] extreme. The 25-year-old who's just
[21:44] started to make money and is, you know,
[21:46] basically saying, "My W2 is not going to
[21:47] get me any sort of financial security. I
[21:50] got to go and take max risk right now."
[21:52] Their allocation is going to look very
[21:54] different than what Van is doing, right?
[21:55] And I I think that that is part of this
[21:57] of Bitcoin was super attractive because
[22:00] it was also people buying it. They knew
[22:02] the world was betting against them
[22:03] >> and you were kind of get gonna get paid
[22:05] if you were right. If you think of
[22:06] prediction markets today, like that's
[22:08] kind of what people are doing, right?
[22:09] Like people are looking for what's the
[22:10] thing that is mispriced
[22:12] >> and maybe Bitcoin is getting better
[22:14] priced. Like the world understands it
[22:16] more and so if it's better priced,
[22:18] you're just not going to have as much
[22:19] asymmetry to it.
[22:20] >> Yeah, could be.
[22:21] >> All right. Um, let's talk about uh
[22:24] international equities in general. You
[22:25] guys have been, I think, very big
[22:26] proponents of this early in the VAC
[22:28] days. that that was a big focus, but I
[22:30] know that you're uh pretty excited about
[22:32] India and some of the stuff that's going
[22:33] on there. Talk us through what uh what
[22:35] you're seeing. Yeah, I mean nothing
[22:37] nothing really new, but I so take if you
[22:39] take my 10-year kind of investment
[22:40] philosophy and tw you know in 2036
[22:44] looking back what's going to be one of
[22:45] the obvious things that's happening
[22:47] today you know don't just focus on
[22:49] what's happening in the head in the
[22:51] headlines in the newspapers but a very
[22:53] powerful trend and you know looking back
[22:57] see if you look back at capitalism like
[22:59] 400 years like you want to invest in the
[23:02] countries that are just pro business
[23:05] right that the government has a clear
[23:07] set of rules and stays out of the way.
[23:10] India has really implemented a very
[23:13] strong set of pro business um you know
[23:16] kind of enablers over the last 5 years
[23:18] under Modi. One important thing as well
[23:21] is a technological basis, right? So
[23:24] effectively the cost of cell phones in
[23:27] India went down to you know something
[23:29] that 900 million Indians can afford and
[23:31] now they have digital IDs and can move
[23:34] all kinds of like paperwork and and and
[23:36] taxes and everything. It's more
[23:38] transparent but it's it's it's that is a
[23:42] very important part. And then they've
[23:43] restructured labor laws, you know,
[23:45] bankruptcy laws, everything to make it
[23:47] easier, taxes between provinces to make
[23:50] it easier to do business in India.
[23:51] Anyway, the result is you have the
[23:53] highest GDP growth and it's supposed to
[23:55] be as big as continental Europe in 10
[23:57] years. Of course, I started talking
[23:59] about this a year and a half ago and
[24:01] India has underperformed I think every
[24:03] market. But I don't care. I'm just
[24:05] saying in 10 years, do you want 1% of
[24:08] your portfolio in India or do you want
[24:10] 5% or something? you know given I think
[24:13] what I just said is a very high
[24:15] conviction in in my mind now there's a
[24:18] lot of negatives about the Indian market
[24:19] or the large cap companies they're being
[24:22] attacked by AI you know just like the
[24:24] consulting firms here like the emphasis
[24:26] so I mean we could spend an hour talking
[24:29] about the pros and cons of India but
[24:31] that's kind of my my general thesis
[24:33] there
[24:34] >> what do you do so you do the work you
[24:36] come up with this thesis that hey India
[24:38] is going to be a growth sector or a
[24:40] growth um uh geography I want to go and
[24:43] get uh both myself and also our clients
[24:45] access to the Indian market, right? You
[24:47] guys create some products there. Um it
[24:50] doesn't perform for the first year and a
[24:51] half.
[24:52] >> Yeah.
[24:52] >> Do you get more excited? Do you start to
[24:54] question the thesis? Do you go and redo
[24:56] the work? Like like just walk us through
[24:58] just using this as one example. There's
[25:00] I don't know over the years you've been
[25:02] running Van I don't know how many thesis
[25:04] you've had, right? Some of them will
[25:05] work, some of them won't.
[25:06] >> Yeah.
[25:06] >> At what point do you say to yourself,
[25:08] "Hey, maybe I got it wrong." Versus,
[25:10] "No, I'm right." and it's just early and
[25:12] so that patience that long-term thinking
[25:14] is really what will pay off here.
[25:16] >> That's a great question. So I started
[25:18] doing these like quarterly outlooks and
[25:20] they're on the internet so you can tell
[25:21] you can look at my track record and I
[25:24] wanted to start keeping score and one of
[25:26] the most important things I realized is
[25:28] to be clear about the time frame of what
[25:30] you're talking about. So as well if I
[25:33] say India usually I'm saying 10 years
[25:36] right but sometimes like like the
[25:38] opportunities in BDC's I think that's
[25:40] short term. So I think that's this
[25:41] quarter. Like I'm a strong buyer of
[25:44] BDC's Blue Alowl this quarter. I'm a
[25:46] buyer of Bitcoin this quarter. I was a
[25:48] seller in January. So that's shortterm.
[25:51] Um to answer your question, we run
[25:54] client portfolios and been doing it for
[25:57] about five years now. And uh the models,
[26:01] the quant screens will slap me down if
[26:04] I'm wrong, if I have a 10-year view and
[26:07] I'm wrong. Right. And and I think over
[26:09] that time period, I've gotten better at
[26:11] at least communicating what I have in
[26:13] mind.
[26:14] >> 10 years for me as a personal investor,
[26:17] which I think a lot of people have some
[26:19] of their portfolio they run themselves.
[26:21] Who cares? Who cares if India
[26:23] underperforms by 5% in a quarter against
[26:27] China? Like, you know, if you're if
[26:29] you're right over the 10-year period,
[26:30] that's like worrying about Nvidia, you
[26:32] know, when it had a its 80% draw down.
[26:35] You just buy more if you're in convicted
[26:37] in the trade. So uh but but that you're
[26:40] right our clients do care more about
[26:42] monthly and quarterly performance and we
[26:44] our risk screens will uh will affect
[26:46] that and and we don't really even try to
[26:50] go after like the quarterly um things in
[26:53] most of our models. They're longer term
[26:54] than that. So it's more the medium and
[26:57] longer term but under you know quant uh
[27:00] controls.
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[28:48] check them out today. Now, if you zoom
[28:50] out, one of the things I find
[28:51] interesting about investing right now is
[28:54] there's almost different stories or
[28:56] different narratives depending on which
[28:58] data points you want to look at. So, on
[29:00] a macro basis, if we go back to December
[29:02] of last year, I think that many people
[29:04] would have argued that we were entering
[29:05] into a lowinflation, high growth
[29:07] economy. And people were very bullish.
[29:11] And I think that they were saying, look,
[29:12] we're going into a midterm year. we have
[29:14] a president sitting in Washington DC who
[29:17] is going to juice the stock market and
[29:19] everyone was you know kind of uh uh
[29:21] really going risk on from that
[29:22] perspective. At the same time we then
[29:24] get into the war with Iran oil prices
[29:27] spike energy goes up right inflationary
[29:29] pressure start to come. CPI starts to
[29:30] creep back up after it had been falling.
[29:32] And so then people say well hold on a
[29:34] second here. If we're getting inflation
[29:37] then we should be getting higher
[29:38] interest rates. If higher interest rates
[29:39] are coming then maybe this is going to
[29:40] be a headwind for stocks. And then you
[29:42] go and you look at the private market
[29:44] and you see that there are, you know, at
[29:45] least three, if not more trillion
[29:47] dollars or larger companies that are
[29:49] supposed to be coming to market in the
[29:50] next 12 months or so. And so people
[29:52] start getting worried about supply
[29:53] coming in. Then you go and you look at
[29:55] the economic data which maybe is telling
[29:57] a a somewhat rosy picture, but then you
[29:59] hear people and they're like, I am
[30:02] underwater. This sucks, right? I gas is
[30:04] too high, groceries are too high, etc.
[30:07] >> My point is depending on where you look,
[30:10] there's a different story. So, it's very
[30:12] complex and it's very dynamic because I
[30:15] don't know 100 days ago versus now the
[30:17] story looks very different.
[30:19] >> How do you navigate that as an investor
[30:21] like like what what you've been doing
[30:22] this a long time like what do you do to
[30:25] make sure that you capitalize on
[30:26] opportunities but also not panic sell by
[30:29] you know and kind of uh have unforced
[30:31] errors. Uh well, you identified the big
[30:35] questions I ask myself when I think
[30:37] about the 10-year trends, right? What is
[30:39] macro? What is fiscal policy, government
[30:41] spending? What is monetary policy?
[30:44] What's the Fed going to do? What are
[30:45] interest rates going to do? Uh my thesis
[30:47] coming into this year is we are not
[30:49] going to learn anything. We're in a
[30:51] stable environment in 2026. And
[30:54] literally, we could just go to sleep and
[30:56] wake up on January 1st, 2027. Nothing
[30:59] will have happened on fiscal or
[31:01] monetary. And I'm sticking with that,
[31:03] >> right? That generally speaking, the the
[31:06] tax bill went through last year and even
[31:08] if the Democrats win the midterm,
[31:10] they're not going to be able to change
[31:11] much on that, right? Because the
[31:12] president will just veto it. So fiscal
[31:14] is kind of set. Worsh like Bessant did,
[31:17] I think, a fabulous job at kind of
[31:19] articulating a less activist Fed stance
[31:24] and they they they stuck the landing. I
[31:26] mean like that's what what I call it
[31:28] like wars getting in there you know
[31:30] everyone was worried about all this kind
[31:32] of stuff and what does Trump do the day
[31:33] he's you know he's he's put in office he
[31:36] says go do what you want remember how
[31:39] much time we wasted talking about anyway
[31:41] sorry so there was visibility on
[31:43] monetary policy I I don't think this I I
[31:46] just fundamentally look at this Iran
[31:48] conflict as temporary
[31:51] >> I just I I mean yes it'll be bad for
[31:54] government spending
[31:56] inflation up. I I don't think the Fed's
[31:58] going to react to that. Like I think
[31:59] that's their whole point is that the Fed
[32:01] doesn't like Do you think the central
[32:03] bank can affect gas prices? Like not not
[32:06] one person in a hundred in America
[32:08] thinks that.
[32:09] >> Well, you know, except for the a couple
[32:11] of people on CNBC.
[32:12] >> But here's here's what's crazy to me is
[32:15] the Fed, I think they're smart enough to
[32:17] know that they can't. But what I
[32:19] actually think is a little
[32:20] nerve-wracking is that I do think there
[32:22] are some politicians that think they can
[32:24] affect gas prices. And so if you go down
[32:27] to, you know, uh, take New York City. We
[32:29] both live in New York and World Cup
[32:32] tickets are expensive. The new mayor's
[32:34] like, "Well, I'm going to go and I'm
[32:35] going to figure out how to get $50 World
[32:36] Cup tickets." And when you realize what
[32:38] they did, you're like, I mean, this is
[32:40] crazy town, right? By the way, the
[32:42] people who get the $50 World Cup tickets
[32:44] are ecstatic. They're they're incredibly
[32:45] happy. But it's just not a sustainable
[32:47] thing that you can go and you can do,
[32:48] right? And so if all of a sudden the
[32:51] mayor of New York or a couple other
[32:53] politicians around the country, if you
[32:54] said to them, "Hey, we're going to give
[32:56] you any tool you want, get gas prices
[32:58] down,"
[32:58] >> they would come up with insane ideas on
[33:01] how to do that. So in a weird way, like
[33:03] I actually believe, and I'm not exactly
[33:05] the biggest fan of the Fed usually,
[33:06] right? But I do believe that they are
[33:08] intelligent and they understand kind of
[33:09] what levers they can pull and can't
[33:11] pull. It's the politicians that seem to
[33:15] not be that smart and say like, "Oh, I
[33:18] just need to claim victory in the
[33:19] headlines."
[33:20] >> Well, Trump waved the gas tax, right?
[33:21] That's three and a half billion dollars
[33:22] a month. That's more government spending
[33:25] to your point.
[33:26] >> But I mean, big picture, uh, if you just
[33:30] focus on on these macro trends, uh, I
[33:34] think it's I think it's easier and I
[33:35] think it's more transparent this year
[33:37] that there's no big monetary shocks, no
[33:39] big government spending shocks. And I
[33:41] think probably it'll extend into next
[33:42] year as well. Sure, it does mean, you
[33:45] know, short-term rates aren't going to
[33:47] fall a lot because I never really
[33:48] thought that was going to happen anyway.
[33:50] They could even rise a little bit. Who
[33:52] who like does that really change the
[33:54] world? I don't really think so. Um, you
[33:56] know, my biggest concern by far is
[33:59] government spending to your point. Don't
[34:01] trust politicians.
[34:03] >> But, you know, people don't when will
[34:06] that get priced into markets? Anthony, I
[34:08] do all these client meetings and surveys
[34:10] and I'm saying I ask, do you think the
[34:13] government will meet its obligations in
[34:15] the next 10 years? Will it default?
[34:17] >> What do you think?
[34:18] >> They all 80 90% absolutely. And then I'm
[34:22] say, okay, social security,
[34:25] unless they change the tax regime, will
[34:27] not have enough money to in in 2033 or
[34:30] 2034, right? So that's within my tenure.
[34:34] Do you think the government's going to
[34:35] somehow fix that problem? No one thinks
[34:37] they're going to fix the problem,
[34:40] but they don't, you know, they don't
[34:41] believe even afterwards they still say
[34:43] the government's going to meet all its
[34:45] obligations. I'm like, that is
[34:47] dissonance. Like in your mind, you're
[34:49] saying something, but it's not you're
[34:50] not conscious of that.
[34:53] >> And so I I it's all about the timing. I
[34:56] I I absolutely think it's going to be a
[34:58] problem. Every financial crisis in US
[35:01] history has always come out of the
[35:03] banking system because banks are
[35:05] unstable, right? government has always
[35:08] marched up and say, you know, bailed
[35:10] out, let's call it an industry or Wall
[35:12] Street.
[35:13] >> Who's going to bail out the Fed?
[35:16] >> When our 10-year rates go up to, you
[35:18] know, if if and when that happens, who's
[35:20] like it's it'll be a new thing for
[35:22] everybody. And I don't know about our
[35:24] portfolios.
[35:25] >> Do you think that
[35:26] >> when I don't know,
[35:27] >> do you think that the government's going
[35:28] to default in the next 10 years?
[35:30] >> They're not going to pay their social
[35:31] security. I want to write an op-ed
[35:33] saying, "I'm sorry."
[35:35] >> Mhm. you're not going to get your money.
[35:36] You're only going to get 80 cents on the
[35:38] dollar. And I'm sorry for the people
[35:39] that really need it.
[35:40] >> And then they're going to whack up, you
[35:42] know, the rest of society to try to make
[35:44] for a shortfall. But the, you know, uh,
[35:47] Freeberg, David Freeberg on the All Pod
[35:49] talks about this a lot. The states have
[35:50] a lot of obligations that they can't
[35:52] meet. I mean, if New York and California
[35:54] continue to drive business out of their
[35:56] states, their pension obligations are
[35:59] going to eat the economy alive.
[36:01] >> So, they're not going to meet those
[36:02] obligations either. I I call that a
[36:04] default. I mean, it's they will probably
[36:06] pay the interest in principle on their
[36:08] debt because otherwise they couldn't
[36:10] access the financial markets, but
[36:11] they're going to stop paying people what
[36:12] they owe and then what are the courts
[36:14] going to do? Force them.
[36:16] >> I've always wondered, should they just
[36:17] >> Sorry for that rant.
[36:18] >> No, no, but I I always wonder, should
[36:20] they stop promising things to young
[36:23] people? Right. So, like what what always
[36:25] strikes me as a little crazy is, okay,
[36:27] so let's all objectively agree that
[36:30] there is a timeline as to when they're
[36:32] going to run out of money. Some people
[36:34] may think it's a little earlier, a
[36:35] little bit later, but like they're going
[36:36] to run out of the money. Why would you
[36:39] keep making promises today knowing
[36:41] you're not going to have the money right
[36:42] now? They may argue cuz we need those
[36:44] people to pay in, right? It's kind of
[36:45] like a Ponzi scheme. So, like we need
[36:46] someone to give us fresh money so we can
[36:48] go and we can use it to pay out our our
[36:50] obligations, but it does feel like uh
[36:53] politicians are really good to just like
[36:54] keep kicking the can down the road. And
[36:56] so, what I always go to is like, what
[36:58] does the quote unquote reset look like?
[37:00] Is it just, hey, you get 80 cents on the
[37:02] dollar? Again, those people would be
[37:04] very upset. I understand why. I would be
[37:05] very empathetic towards them and and and
[37:07] feel like they would have a great
[37:09] argument, but for people outside of that
[37:12] cohort, it would not be as destructive
[37:14] if that was the only thing that was
[37:16] happen. I don't think that's the only
[37:17] thing that's going to happen. They are
[37:18] going to have to debase the dollar.
[37:20] They're going to have to do a bunch of
[37:21] these things all at once to be able to
[37:23] address this problem. And I think that's
[37:24] the part that people don't kind of see
[37:26] past is again this is like pretty
[37:29] complex stuff that they're going to have
[37:30] to do to be able to address this issue.
[37:32] >> I think the sad thing is that day
[37:35] arrives and who do you point the finger
[37:37] at? Do you point it at the Republicans?
[37:39] You point at the Democrats because
[37:40] they're both responsible and they're so
[37:42] then what are you going to do? Blame
[37:44] prior politicians? That doesn't really
[37:46] help the recipients. So I wonder if
[37:48] there's a role you know for us like
[37:51] people in the markets being a little bit
[37:52] louder on this topic you know anyway
[37:56] that's a separate because the trustees
[37:57] are very clear they'll write the annual
[37:59] report saying 80 cents on the dollar in
[38:01] 2033. Uh but so they'll have a clear
[38:05] conscience or whatever. I mean they've
[38:07] done that what they're supposed to be
[38:08] doing. It's it's the politicians that
[38:10] are really shortch changing the average
[38:12] person. One of the aspects of investing
[38:15] today that I think has really changed
[38:17] over the last five or six years and a
[38:18] lot of it I think is because of COVID
[38:20] and the spending etc. is um if I go and
[38:22] I look at a lot of the economic data,
[38:24] everything looks pretty good, right? I
[38:26] mean, there's some risk areas, but for
[38:28] the most part, it looks like the US
[38:29] economy is growing, stock market is up,
[38:31] inflation is not at 9% or, you know,
[38:33] whatever. If you go and you talk to
[38:36] people, it is a whole different story.
[38:39] And a lot of people point to like the
[38:41] Michigan consumer sentiment survey. I
[38:43] think that it's complete trash and
[38:44] there's a lot of like sampling issues,
[38:46] etc. But let's use it as a directional
[38:48] like the stock market is going up and
[38:50] sentiment is going down. People are
[38:52] saying I'm in financial pain. The data
[38:54] is not necessarily showing that as much.
[38:57] >> How do you balance these two? Do you
[38:59] look at the data? Do you listen to
[39:00] people? Do you have to kind of take them
[39:02] both together?
[39:03] >> I think it's a a great question. There's
[39:06] been a collapse in the kind of accuracy
[39:09] of sentiment uh and trust in polling.
[39:12] And it's not just financial markets. I
[39:14] can't recall it all off the top of my
[39:16] head, but it's it's consistent. And if
[39:18] you look at trust in institutions, for
[39:20] example, trust in Congress, trust in,
[39:23] you know, I think I don't know what
[39:24] what's retained it. I think small
[39:26] business and religion is about it, but
[39:28] uh you know, academia, right? Uh large
[39:31] businesses, everything. And and
[39:33] sentiment, you're right, is just wacky,
[39:36] out of touch. It it it's it doesn't even
[39:39] match like what they're like their own
[39:42] behavior doesn't match what they're
[39:43] saying about themselves. Right. So
[39:45] they're saying yes sentiment is horrible
[39:46] yet they're spending.
[39:48] >> Mhm.
[39:48] >> Right. And that's so I I don't know.
[39:51] >> I think there's been a politization a
[39:53] little bit of sentiment data, but that's
[39:57] >> Well, we 100% know that to be true,
[39:59] right? And again, I I kind of look at
[40:00] this as and and over the years I've
[40:01] gotten very jaded where I'm just like
[40:03] both political parties for the most are
[40:05] like full of right? And so like,
[40:06] okay, let's use it as a starting point.
[40:08] But if you go and you look at the
[40:10] Michigan Consumer Sentiment Survey in
[40:12] particular, yeah, they do a great job of
[40:14] publishing a lot of the source data. And
[40:17] so people smarter than me, aka Tom Lee,
[40:19] uh, has gone and actually done the
[40:20] analysis. And what he shows is it used
[40:23] to be they uh, would survey 50%
[40:25] Republicans, 50% Democrats. And the
[40:29] reason why that was important is
[40:30] because, you know, Democrats will tell
[40:32] you inflation's going to like 6% and
[40:33] Republicans will tell you it's going to
[40:34] one and a half%. Right. And so they're
[40:36] just wildly political. You know, their
[40:38] brains are broken by politics.
[40:39] >> They're talking their books.
[40:40] >> Yeah. Of course.
[40:42] Well, the sentiment was kind of middle
[40:45] of the road. And so you kind of had this
[40:46] healthy tension. Some people thought it
[40:47] was good, some people thought it was
[40:48] bad. And you know, here we go. In the
[40:51] last three years or so, they have
[40:52] shifted to a lot more online polling.
[40:55] When they did that, the construction of
[40:58] the survey sample has changed. So now
[41:01] they are actually surveying twothirds
[41:03] Democrats, one-thirds Republican.
[41:05] >> Now I I'm not going to claim because I
[41:07] actually don't think that they're doing
[41:08] it intentionally. I think it's probably
[41:10] where they advertising the survey, where
[41:11] they get the people. You know, there's
[41:12] all these like components that go into
[41:13] it.
[41:14] >> Yeah.
[41:14] >> But immediately by now having two times
[41:17] more Democrats than Republicans, and the
[41:19] Democrats tend to be more pessimistic on
[41:21] the economy going forward, etc.,
[41:23] sentiment starts to pull down. And so I
[41:25] look at that, I'm like, "Okay, there are
[41:26] probably a lot of issues with the the uh
[41:28] stuff." If I tweet though and I say,
[41:32] "The American economy is rocking." Oh my
[41:35] god. I mean, you you you just read the
[41:37] comments and you're like, "By the way,
[41:39] there's a lot of people who disagree
[41:40] with that." Right.
[41:41] >> Right. And so again, that's anecdotal,
[41:43] but I do wonder sometimes like is that
[41:46] actually a better signal for sentiment
[41:48] than the survey?
[41:49] >> Because there's a bunch of people who
[41:50] are like, "Look, man, gas is x dollars,
[41:53] you know, a gallon. Uh grocery bill,
[41:55] it's up 20%, 30%."
[41:58] >> And so I think that in finance, we look
[42:01] at inflation and that's the thing we
[42:03] worry about. But really a average
[42:06] American family is just looking at I
[42:08] don't care if the inflation happened in
[42:09] 21 22 or if it happened in 26. All I
[42:12] know is it used to cost me 60 bucks to
[42:14] go to the grocery store. Now it cost me
[42:16] 90.
[42:16] >> Correct.
[42:17] >> Somebody did this to me. Right. Right.
[42:19] You know and and they're and I don't
[42:21] even know if sometimes they even blame
[42:22] blame it on one political party the
[42:24] other. They just care about the
[42:25] aggregate increase in price and they
[42:28] don't understand inflation when it
[42:30] happened who did it. It's just it's too
[42:32] expensive. And that's driving a lot of
[42:34] the sentiment, right?
[42:35] >> It is too expensive. I mean, honestly,
[42:37] they're right. Right. We just had a huge
[42:40] increase cumulatively, and that's makes
[42:43] more sense, right, to your point. Right.
[42:45] Economic statistics can short-term
[42:48] economic statistics can be very
[42:50] misleading. Yeah. I I throw out all
[42:52] sentiment data really in my um the way I
[42:56] think about markets.
[42:57] >> And so, like in the spending example,
[42:59] you put more weight on the spending data
[43:00] than you would on what people are
[43:02] saying.
[43:02] >> Yeah. Yeah.
[43:03] >> Yeah.
[43:03] >> And why do you think people are still
[43:05] spending?
[43:05] >> And and I also don't try look I'm
[43:08] looking for these big trends. I don't
[43:11] really care that much about wiggles and
[43:13] data. I think look the biggest question
[43:16] I've asked myself statistically for this
[43:18] year by far by far employment
[43:22] >> right because the big concern is AI
[43:25] takes people's jobs and and is that
[43:27] happening and you you you know you can
[43:29] see some of these hyperscalers cutting
[43:32] back on their employment you're oh is
[43:33] this the beginning of something you know
[43:35] I published like some 20-year survey
[43:37] data from Morgan Stanley in in January
[43:39] or I borrowed it and you can see huge
[43:42] changes like secretary Aries, right? 75%
[43:46] fall in secretarial jobs over a 20-year
[43:49] period, but it's over 20 years.
[43:51] >> You know, you just don't see employment.
[43:54] This was my conclusion, but you never
[43:57] know. We'll see at year end, but you
[44:00] just don't see big moves in employment
[44:02] because our economy is so vibrant.
[44:04] Anthony, that's what's so cool about it.
[44:06] And and I was really persuaded by a
[44:08] futurist who said, "Listen, we threw 40
[44:11] million new people into the workforce
[44:14] and you could barely see the the blip in
[44:17] the employment trends." And that that 40
[44:19] million was women uh entering the
[44:21] workforce after World War II.
[44:23] >> Like you just can't see it. And once I
[44:25] saw that, I'm like, there's nothing
[44:26] happening from AI that's going to like
[44:28] dramatically, you know, throw half the
[44:31] workforce out of uh you know, out.
[44:33] >> What is AI doing to your guys business?
[44:36] like where are you guys seeing
[44:37] disruption and and obstacles versus
[44:39] where are you seeing efficiency gains or
[44:41] or advantages in using it?
[44:43] >> I mean it's empowering researchers right
[44:46] just generally and and what I laugh
[44:48] about a little bit is uh the knowledge
[44:51] flow within VANC from department to
[44:54] department has changed. It used to be
[44:56] you always went to legal for your first
[44:58] questions and now legal is kind of like
[45:01] only if they need to produce the
[45:02] document, right? Because you can do the
[45:04] research yourself. That's true for
[45:08] you know like we were checking some
[45:10] stuff on our website which you think
[45:11] would be marketing but it wasn't
[45:13] marketing someone another department
[45:15] like built a tool to kind of like check
[45:17] for stuff on our website um in in hours
[45:20] right so uh what we're seeing is a lot
[45:22] of productivity we spend about $750,000
[45:26] a year right now on on claude we're
[45:28] moving more from chat to claude and um
[45:32] you know you think of we have 550 people
[45:35] that's not at a lot of expense. I could
[45:36] see that going up. I I did that
[45:39] partially because I called 2026 the year
[45:41] of corporate AI, right? Because
[45:43] Anthropic on the on the LLM side and
[45:46] then, you know, Nvidia last week with
[45:48] its earnings broke out the hyperscaler
[45:50] demand for their for their their
[45:52] hardware from kind of the rest of the
[45:55] world including uh you know companies
[45:57] and so I really think we are providing
[46:00] this extra compute um demand. So um What
[46:05] I find interesting,
[46:05] >> sorry, I went a little back to the
[46:07] markets there, but was that helpful? We
[46:09] we published our use of tokens on our on
[46:11] our website.
[46:12] >> I know you guys did. I find it pretty
[46:14] cool. And one of the things I'm seeing
[46:15] across the we are seeing inside of our
[46:17] companies, like you take the CFO Sylvia
[46:18] product, right? Um it was like roll this
[46:20] out to everyone, get everyone using as
[46:22] many tokens as possible. Companies had
[46:24] token leaderboards, you know, all this
[46:25] kind of crazy stuff.
[46:27] >> And then all of a sudden everyone
[46:28] realized, wait a minute,
[46:28] >> publish it for Sylvia?
[46:29] >> Uh we do not. No, but um
[46:31] >> you should. No, it radical transparency
[46:34] >> uh the the token usage uh exploded and
[46:38] then we have been very successful in
[46:40] cutting it. And I think that this is
[46:42] >> that's the dynamic, right? Something
[46:43] costs money, you how you use it.
[46:45] >> Yeah. And industrywide. I talked to
[46:47] friends who run private companies,
[46:48] friends who run public companies,
[46:49] investment firms, etc. Everyone 12
[46:52] months ago, 18 months ago, told their
[46:54] teams, "Go use AI. You have to start
[46:58] using this stuff. Become, you know, AI
[46:59] native. Go and figure out how to use
[47:01] these tools." Sometimes they did
[47:02] trainings internally, they built tools
[47:04] like whatever they could do to enhance
[47:06] the productivity of their teams they
[47:08] did. Then they started to get the bill
[47:10] and they said, "Wait a minute. I like
[47:12] the productivity. I don't like the
[47:13] bill." And so over the last six months
[47:16] or so, what I see a lot of teams doing
[47:17] is they're saying, "How do we keep as
[47:19] much productivity gain as we can, but I
[47:22] want this bill to come down." And so
[47:23] what people started to realize, just
[47:24] like all new technologies, is like,
[47:26] "Hey, every time we refresh this page,
[47:28] it was hitting the model, right?
[47:29] >> We don't need to do that. Let's stop
[47:31] doing that." And you start to see these
[47:32] bills come down. And so it' be
[47:34] fascinating inside of uh like an
[47:36] anthropic
[47:37] >> the per query token usage my guess is
[47:42] probably coming down. Some of it's
[47:43] because things they're doing some of
[47:44] it's because of the way the users are
[47:45] are uh using their tools.
[47:47] >> Yeah.
[47:48] >> But the adoption of AI is exploding
[47:50] higher. So you get this net gain for a
[47:52] company like Anthropic. But actually the
[47:54] individual companies are trying to
[47:56] figure out okay how do I get this bill
[47:57] down but still get the efficiency gain.
[47:59] >> Yeah. And so that I think is maybe one
[48:02] of the most bullish components of AI is
[48:04] it's not just oh we have existing
[48:06] customers and they're using AI more.
[48:08] >> What they're doing is they're actually
[48:09] trying to cut back their bills yet your
[48:11] business is adding $10 billion of
[48:12] revenue a month.
[48:13] >> Right.
[48:14] >> Right. I mean that is there may not be a
[48:15] more bullish sign than that.
[48:17] >> Yeah. Yeah. I mean when we showed the
[48:19] data um an investment colleague said
[48:21] well what's vanex usage and I said let's
[48:24] share it. Uh I was surprised right our
[48:26] so couple things. Open AI is less
[48:30] transparent about their token usage for
[48:33] some reason than Claude and Claude is
[48:35] supposed to have the compute problem,
[48:36] right? But like we could only get
[48:38] estimated token usage uh from OpenAI
[48:41] whereas Claude would actually publish it
[48:44] was like order of magnitude higher. It's
[48:46] like millions and millions of tokens a
[48:48] day like you know anyway that we had to
[48:50] guess with Open AI. Uh but our overall
[48:53] token usage on cloud had only sort of
[48:55] doubled in a four-month period which
[48:57] didn't feel right but it's to your point
[49:00] people are using it more efficiency
[49:02] efficiently and the IT department that 9
[49:05] months was completely wor like literally
[49:07] I I heard that people worried about
[49:09] their jobs these people are are
[49:11] providing they're like enhancing well
[49:13] they're enhanc you having the IT
[49:16] background like makes you so much more
[49:19] productive right I mean vibe coding is
[49:21] fun, but you know having access to the
[49:24] underlying data and being able to
[49:26] optimize use of AI is way better.
[49:28] >> Mhm. Now, um what will it take for the
[49:31] AI to make the investment decisions?
[49:34] Right now, everyone is using it for
[49:35] research. They're using it for things
[49:37] around.
[49:38] >> Yeah.
[49:39] >> When will you feel comfortable giving
[49:41] your money to an AI or when will VANC
[49:43] offer some sort of product where the AI
[49:46] makes 100% of the investment decisions?
[49:48] >> So, I mean, we use AI already, right? If
[49:51] you think that all our actively managed
[49:53] funds uh and all the analysts are AI
[49:56] empowered, right? Uh so that's already
[49:59] happening. We have um we have an ETF
[50:02] that sorts huge amounts of data using
[50:05] AI. Um and I guess that's fully AI in in
[50:09] a sense. It's it's uh processing social
[50:11] media data uh like likes and dislikes
[50:14] and comments on your tweets and that
[50:16] kind of stuff if if you talk about
[50:18] stocks. Um, so but I don't I'll tell you
[50:22] what the difficulty is. Maybe AI is
[50:24] really good. The the it presumes a lot
[50:27] of trading that's better sitting within
[50:30] a Citadel or a Jane Street than within
[50:33] an ETF because it the cost of
[50:35] transacting if you're if you're not
[50:38] really good at it is is is exorbitant.
[50:40] Um, and then the last component,
[50:42] Anthony, that I think really delays it
[50:44] is do you really trust an AI not to go
[50:46] off the rails? M
[50:48] >> and I it it might we might be okay but
[50:51] if we to persuade a customer like this
[50:54] is a really smart AI as opposed to all
[50:56] the other ones.
[50:57] >> Mhm.
[50:58] >> That's a tough sales proposition.
[51:00] >> One of your big bets is India. One of my
[51:02] big thesis over the next 10 years is
[51:04] that the people actually trust the AI
[51:07] more than the humans and there will be
[51:10] some tipping point. I don't know when it
[51:11] will happen or what the thing will be,
[51:13] but um we have people who reach out to
[51:15] us from the CFO Sylvia user base and
[51:18] they ask us all the time, can I just
[51:19] give Sylvia my money?
[51:20] >> Now, we don't do that, right? For a
[51:22] whole bunch of different reasons. Um but
[51:24] what they're essentially saying is she's
[51:26] superhuman intelligence. She's smart. I
[51:28] already trust her to give me insights or
[51:29] information.
[51:30] >> Yeah.
[51:31] >> What really is happening is I query, she
[51:34] gives me information, I'm then the
[51:36] bottleneck, and I have to go into the
[51:38] portfolio and make a decision. But she's
[51:40] already telling me the thing that she
[51:42] thinks is a good idea, a bad idea, or
[51:43] you know, the pros, cons, whatever.
[51:45] >> Yeah.
[51:45] >> Why don't I just remove the human from
[51:47] the loop? Why don't I just let her do
[51:48] it? It's fascinating because when I've
[51:51] always thought of AI, I've thought of,
[51:52] you know, high frequency trading and,
[51:54] you know, those types of things where
[51:55] it's almost like humans can't do it.
[51:57] What these people seem to be saying is I
[51:59] actually just want to outsource the
[52:01] decisionmaking.
[52:03] And that to me is that's not
[52:04] rules-based. That is, you know, kind of
[52:06] this uh almost black box to a degree.
[52:09] I don't know if I'd be ready to do that
[52:11] yet right now.
[52:12] >> I I I'd love to ask you more questions.
[52:14] Like if I put my data into Sylvia,
[52:17] right, and I had two brokerage accounts,
[52:20] but 80% of my net worth was in
[52:24] apartments. I'm I rent apartments like
[52:26] whatever that was like my culturally. My
[52:29] parents said, "Put your money in real
[52:30] estate. I like to walk around and
[52:33] collect the rent from people and kick
[52:34] them out if they'll pay." I don't I
[52:36] don't know who likes to do that, but
[52:37] anyway, is Sylvia going to tell them
[52:40] that's a you're you know too much risk
[52:42] in New York real estate. Let's say
[52:43] you're doing it here and then what move
[52:46] >> well or or I mean reduce that part of
[52:48] your portfolio and you're saying people
[52:50] are like yeah that's right actually
[52:51] don't really care if I own any
[52:53] apartments. I don't really believe that.
[52:55] >> Yeah. So I think that there's two
[52:56] components. One is it will definitely
[52:57] say hey you've got heavy concentration
[52:59] here. You're very exposed to interest
[53:00] rates or you know whatever the thing is.
[53:02] Um, you can explain, you know, I'm not
[53:05] going to change it. Disregard this.
[53:07] Right. So, like there's a back and
[53:08] forth. No different than a financial
[53:09] adviser, right? Or uh maybe a CFO or an
[53:12] accountant.
[53:12] >> That's my point. They're not going to
[53:13] totally give or take.
[53:15] >> Correct. I don't think it's just like
[53:16] here's all of my money, all of my
[53:17] assets, like do whatever you want. What
[53:19] I think is more interesting is somebody
[53:21] may say, you know, actually what I want
[53:23] is I want to um give 100 grand. Yeah.
[53:28] >> To this. And no different than an
[53:30] actively managed ETF. I want maybe
[53:32] exposure to um the AI trade. Go find,
[53:37] you know, uh certain types of stocks
[53:39] that are very asymmetric that could
[53:41] double every year in the AI space or
[53:43] whatever.
[53:44] >> Yeah.
[53:44] >> That to me, it's almost like a
[53:46] self-contained, you know, uh AI driven
[53:49] type strategy.
[53:51] It's a blending, right? It's kind of
[53:52] rules-based. It's kind of not. It's got
[53:54] the LLM.
[53:55] >> Yeah. I call that mainly human because
[53:57] that the human is saying, "I've made the
[54:00] decision. You go execute. I'm totally
[54:02] with you. Like just get the agent to
[54:04] execute it, rebalance it, whatever, or
[54:06] remind you that maybe you want to
[54:08] rebalance,
[54:09] >> but that the gate of the kill switch is
[54:12] still with the human is how
[54:13] >> Yeah, I I do think that I do think the
[54:14] kill switch and the ability to shut it
[54:16] off obviously will always ring with the
[54:18] human. The other thing I think is really
[54:19] interesting is um uh you've probably
[54:22] seen these apps or these tools where uh
[54:25] people scroll a lot on the internet,
[54:26] right, you know, on social.
[54:26] >> Yeah. Yeah. and they track it
[54:27] >> and and so you basically though you can
[54:29] set like hey only let me do it for 1
[54:30] hour and then once you hit the 1 hour
[54:32] you literally can't log in to the
[54:33] services until the next day or you know
[54:35] maybe pay five bucks or something right
[54:38] uh I do think that there's something
[54:39] about investing where like uh Stanley
[54:42] Duck Miller always tells the famous
[54:43] story of like he knew in 2000 but he
[54:46] like couldn't sit on the sidelines and
[54:48] he bought at the top and lost like $2
[54:49] billion in you know six weeks or
[54:51] something and he's like you know
[54:52] somebody asked him what he learned he
[54:53] goes I didn't learn anything I knew I
[54:54] shouldn't have done that but I did it
[54:57] anyways, right? He's like, "I'm not an
[54:59] idiot. I knew not to do that and I still
[55:00] did it."
[55:01] >> And so, I do think that's where AI
[55:03] becomes really interesting of like uh
[55:05] you know, you go to do something and it
[55:06] says like, "Are you sure? Are you really
[55:08] sure? Are you 100% positive you want to
[55:10] do this? Are you not, you know,
[55:11] panicking and chasing momentum?" It's
[55:14] almost like a a you know, co-pilot is
[55:16] probably overused, but a coach or or
[55:17] some sort of, you know, sounding board
[55:19] that I could say.
[55:20] >> One of the coolest things I've learned
[55:22] is behavioral economics, right? or just
[55:24] how we are built built as humans our
[55:27] decision-making processes are biased to
[55:29] to kind of make the same kinds of
[55:31] mistakes and what you're talking about
[55:33] is I actually talked about this with my
[55:35] summer interns is like you need rules or
[55:37] tricks to kind of combat some of your
[55:41] you know kind of biases the the the bias
[55:44] that I care about the most is recency
[55:45] bias where everyone just thinks oh this
[55:47] is the trend and that's going to
[55:48] continue like no you know history and
[55:51] markets can be very discontinuous But um
[55:54] but but like when you think about it,
[55:56] the whole retirement savings system has
[55:59] been driven by the ability of people
[56:01] just to say, "I'm putting my money in a
[56:03] 401k and the default, right, is the
[56:06] target date fund." That is so good for
[56:08] people because they used to always put
[56:10] their money in cash.
[56:11] >> The amount of wealth that that trick or
[56:14] tool has generated is probably enormous,
[56:18] you know. So anyway, so I I I think
[56:20] you're right. AI can maybe be your buddy
[56:23] or your trick or tool and or and apply
[56:26] that in more places. Um, but that's also
[56:28] the role that financial advisors play.
[56:31] >> Yeah, I think that that uh that makes
[56:32] sense. We we've known each other now for
[56:34] a while. I never asked you this
[56:35] question, so I'm very interested uh in
[56:36] your answer, but there's a quote on your
[56:38] website. It says, "My father built this
[56:40] firm on the idea that the world is
[56:42] constantly changing and that by
[56:43] understanding those shifts early, you
[56:45] could create a real opportunity for
[56:46] clients. That belief still guides us
[56:48] today. And when you first started at
[56:51] VANC, he had pretty much made two major
[56:53] bets from my understanding. There was
[56:54] kind of the international equities and
[56:55] then there was gold. And I think that he
[56:58] probably a lot of people do not agree on
[57:00] the gold thing at first, but it
[57:01] obviously was a very smart thing for
[57:02] them to do. Um, what do you think your
[57:05] father would say now to you or or how
[57:07] would he look at the firm? I mean, you
[57:09] know, this thing's grown to 200 billion
[57:10] in assets. You've completely diversified
[57:12] away from gold, although you still got
[57:14] half a still a big gold business. Um,
[57:17] and this quote about, you know, just
[57:18] constantly staying on top of these
[57:21] shifts, you guys have done a pretty good
[57:22] job of.
[57:23] >> Yeah. I mean, look, these 10-year shifts
[57:25] are, I think, very profound. And you
[57:27] look how they can distort like the US
[57:29] equity market, the AI trade, but they're
[57:32] not, you know, it's not magic. And, you
[57:35] know, we we leaned into emerging markets
[57:36] as well. A lot of people did, right?
[57:38] They saw the rise of China. We're not
[57:40] alone in seeing the rise of India. Don't
[57:42] mean to be alone. like we're not looking
[57:44] to be the only people out there, right?
[57:46] Uh so my answer your question, my dad I
[57:49] think he'd totally be all in on India.
[57:51] Um he he was well no I mean he just was
[57:54] he was a globalist right his parents
[57:56] were were European so he always thought
[57:58] of the world as a globe and the
[58:01] command's bias too Anthony you know I
[58:03] realize has has affected me too because
[58:05] all those markets are always global
[58:07] right um so I think India definitely um
[58:10] AI I don't know we never really talk
[58:13] technology a lot and the way I look at
[58:16] the world now technology really is is an
[58:19] important trend for industries
[58:21] Uh, and he would definitely be worried
[58:23] about government spending. You know, he
[58:25] would definitely be worried about that.
[58:27] >> I feel like that is like seared into the
[58:28] family lineage is the government
[58:30] spending is a problem.
[58:31] >> Well, but it isn't all the time, right?
[58:33] It's not all the time. But, uh, we we
[58:36] went nuts relative to other countries
[58:38] during COVID. We went berserk
[58:40] >> and um and I think there were no
[58:42] consequences to our markets
[58:44] >> and that's why we have continued to be
[58:47] really irresponsible and we'll see um if
[58:50] we get there.
[58:51] >> All right. Working with some people to
[58:52] find out more about Vanek.
[58:54] >> Uh van.com, yanvan number three on
[58:57] Twitter and then LinkedIn. You know, try
[58:59] to share my favorite pods.
[59:00] >> You've been amping up the social media a
[59:02] little bit.
[59:03] >> A little bit.
[59:03] >> Yeah. You're doing a pretty good job.
[59:04] >> Tell the story.
[59:05] >> All right. We'll do it again in the
[59:06] future. Thanks.

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