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


Análisis de Inversiones y Tendencias Globales

◆ Introducción: La Adopción Lenta de Bitcoin

El episodio comienza analizando la adopción de Bitcoin, que ha permanecido estable sin una entrada masiva de bancos centrales o grandes corporaciones, limitándose principalmente a inversores financieros vía ETFs. Esto plantea dudas sobre un cambio drástico en el precio si no hay avance macroeconómico. Se presenta a Yan Vanek, CEO de VanEck (gestora de activos de $200 mil millones), para discutir Bitcoin, oro, ETFs y estrategias de asignación de capital.

▶ Mercado de Crédito Privado y Oportunidades

El mercado de crédito privado ha generado preocupación por riesgos sistémicos, llevando a una venta masiva en el espacio BDC (que han caído un 20%). Sin embargo, se argumenta que este precio está desconectado de la realidad económica estadounidense. Esto crea oportunidades en emisores como Blue Owl, cuyas acciones están subvaloradas y ofrecen altos rendimientos por dividendo (cercanos al 9%).

⚠️ Alerta de Riesgo Sistémico: Aunque las acciones de crédito privado están subvaloradas, el mercado enfrenta temores reales sobre tasas de incumplimiento elevadas y la fragilidad del sector BDC.

★ Crecimiento de ETFs y Lo que se Omite

El negocio de la gestión de activos y los ETFs es un área explosiva, aunque muchas estadísticas generales pueden ser engañosas debido a la proliferación de pequeños vehículos. El punto clave es cómo estos instrumentos brindan accesibilidad a clases de activos tradicionalmente desatendidas, especialmente en renta fija. No obstante, esta alta liquidez también introduce vulnerabilidad ante dislocaciones importantes del mercado.

â–º Historia de VanEck y el Oro como Clase de Activo Central

VanEck mantiene una cartera diversificada que incluye $45 mil millones en oro y metales preciosos. El experto es optimista sobre el futuro del oro, viéndolo como una moneda global emergente y un seguro contra el gasto gubernamental excesivo. Se recomienda iniciar la exposición al oro con lingotes físicos por su liquidez histórica.

  • Recomendación de Diversificación en Oro (Acciones): Si se busca diversificar en acciones mineras, sugerir una mezcla inicial de dos tercios en bullion y un tercio en acciones mineras.

â—† IA, Materias Primas e Infraestructura

El buen desempeño reciente del oro frente a las acciones podría reflejar la devaluación del dólar. El auge actual de materias primas está impulsado masivamente por la demanda de energía e infraestructura para los centros de datos de Inteligencia Artificial (IA). Además, la necesidad global de independizar cadenas de suministro de China intensifica el consumo de materiales esenciales como cobre y tierras raras, manteniendo una presión alcista.

▶ Bitcoin vs. Oro: Por Qué BTC No Ha Seguido el Ritmo

La adopción institucional de Bitcoin sigue siendo lenta, y un obstáculo clave es su creciente correlación con el NASDAQ, lo que disuade a gestores sofisticados. Sin embargo, el impulso principal para BTC se basa en la maduración de su base de usuarios. Se observa una transición silenciosa donde inversores minoristas venden sus participaciones a profesionales institucionales, atrayendo interés y reduciendo la volatilidad.

★ La Gran Apuesta de VanEck en India

VanEck mantiene una alta convicción en el mercado indio como geografía de alto crecimiento, gracias a políticas favorables y reformas laborales bajo Modi. La adopción tecnológica masiva permite la digitalización para cientos de millones de personas. A pesar del rendimiento corto plazo inferior, se subraya que la paciencia es crucial para tesis de inversión de diez años.

  • Tesis de Inversión a Largo Plazo: Mantener una perspectiva paciente en mercados emergentes con reformas estructurales profundas, como India.

► Navegando el Entorno Macroeconómico Actual

El entorno es complejo, pero la tesis central se centra en un período de estabilidad a largo plazo sin grandes cambios fiscales o monetarios hasta 2026. El orador cree que la Reserva Federal entiende sus límites y no reaccionará a shocks temporales. La principal preocupación sigue siendo el gasto gubernamental excesivo.

â—† Deuda Gubernamental de EE. UU. y Crisis de Seguridad Social

Se discute la insostenibilidad de las obligaciones del gobierno, señalando que el sistema de Seguridad Social no tendrá fondos suficientes para 2033 o 2034. Existe una disonancia entre la creencia pública y la realidad financiera. Si ocurre una reestructuración económica, es probable que los beneficiarios reciban solo 80 centavos por dólar. Para resolver esto, el gobierno deberá desvalorizar la moneda.

🚨 Riesgo Crítico de Cumplimiento: El riesgo de incumplimiento no se limita al gobierno federal, sino que afecta a los estados cuyas obligaciones pensionales podrían colapsar. La situación se compara con un esquema Ponzi.

▶ Balanceando Datos Económicos y Sentimiento

Existe una discrepancia entre los datos positivos de EE. UU. y el sentimiento negativo del público. Se critica la fiabilidad de las encuestas de sentimiento (como Michigan) por ser políticamente sesgadas. Es más importante observar los patrones reales de gasto de la gente, ya que los indicadores a corto plazo pueden ser engañosos. El enfoque debe estar en grandes tendencias como el empleo y el impacto de la IA.

★ Adopción Corporativa de IA y Problema del Costo de Tokens

La adopción de la IA en las corporaciones está explotando, generando grandes ganancias de productividad. Inicialmente se buscó maximizar el uso de tokens, pero rápidamente surgió la preocupación por los altos costos operativos. Actualmente, las compañías están enfocadas en un equilibrio delicado: mantener la eficiencia mientras reducen drásticamente sus facturas de IA, lo cual es considerado un indicador muy alcista para el sector.

► ¿Cuándo Tomará Decisiones de Inversión la IA?

El uso actual de la IA en inversiones se centra en la investigación y el procesamiento masivo de datos (ej. redes sociales para ETFs). La implementación total de decisiones por parte de una IA enfrenta altos costos transaccionales fuera de grandes firmas. Aunque hay confianza, la mayoría de los usuarios aún requieren un humano como punto de control. La IA está evolucionando hacia una colaboración con asesor financiero, ayudando a combatir sesgos humanos (como el sesgo de recencia).

◆ El Legado de Jan's Padre y la Guía de VanEck

La filosofía de VanEck se basa en el legado del padre fundador, quien creía que entender los cambios globales tempranamente generaba oportunidades. La firma se enfoca actualmente en identificar profundos cambios de diez años e invirtió fuertemente en mercados emergentes como India. El entrevistado subraya la preocupación histórica por el gasto gubernamental y critica la irresponsabilidad de los mercados financieros recientes.

â—† Buscar el alpha

La tesis central es que, mientras la narrativa de mercado se centra en datos económicos a corto plazo y el sentimiento optimista sobre EE. UU., las fuerzas subyacentes apuntan hacia una desvalorización monetaria estructural debido al gasto gubernamental insostenible. Esto obliga a un cambio de capital masivo desde instrumentos financieros tradicionales o altamente correlacionados (como NASDAQ) hacia activos reales con valor intrínseco y crecimiento estructural en mercados emergentes.

  • Rotación de Riesgo: Existe una oportunidad subestimada en emisores de crédito privado como Blue Owl, cuyas acciones han caído significativamente debido a pánicos sistémicos (BDC). Se ven como negocios de gestión de activos sólidos y subvalorados con altos rendimientos por dividendo.
  • Cobertura Deflacionaria/Deuda: El oro es visto como una moneda global emergente y cobertura esencial contra el gasto gubernamental excesivo. La recomendación inicial es la exposición a lingotes físicos debido a su liquidez histórica.
  • Estrategia de Oro (Diversificación): Si se busca diversificar en acciones mineras, la asignación sugerida es una mezcla conservadora: dos tercios en bullion físico y un tercio en acciones mineras.
  • Crecimiento Estructural a Largo Plazo: India representa una apuesta de alta convicción (horizonte de 10 años) impulsada por reformas regulatorias favorables, adopción tecnológica masiva y políticas empresariales claras bajo Modi.
  • Catalizador de Commodities: El auge actual de materias primas está fuertemente respaldado por la demanda de infraestructura para centros de datos de IA y la necesidad geopolítica de desvincular las cadenas de suministro de China, manteniendo una presión alcista estructural.
Activo Señal Lectura
Blue Owl (Crédito Privado) Comprar/Oportunidad Subvalorada; Negocio de gestión de activos en crecimiento con alto rendimiento por dividendo.
Oro (Exposición Inicial) Comprar Lingotes físicos para aprovechar la liquidez histórica y cobertura contra déficits gubernamentales.
La vuelta de tuerca: El invitado está señalando que la narrativa dominante sobre el crecimiento económico estadounidense es superficial y engañosa. La verdadera preocupación no son los datos trimestrales, sino la insostenibilidad fiscal del gobierno (crisis de Seguridad Social), lo cual implica un riesgo sistémico a largo plazo para la moneda fiduciaria. Por ello, el capital debe moverse hacia activos reales que sobreviven al colapso o reestructuración monetaria.

► Resumen por capítulos

Intro (0:00)

El presentador inicia señalando que la adopción de Bitcoin ha permanecido estable en los últimos dos años, sin una entrada significativa de bancos centrales o corporaciones. La adopción se ha limitado principalmente a inversores financieros a través de ETFs, pero no por grandes instituciones. Esto lleva al presentador a cuestionar las expectativas de un cambio drástico en el precio si la adopción macroeconómica no avanza. El episodio presenta a Yan Vanek, CEO de Vanek, una gestora de activos de 200 mil millones de dólares. En esta conversación se abordarán temas como 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, Vanek ofrecerá consejos sobre su cartera personal y la estrategia de asignación de capital para inversores.

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

El mercado de crédito privado genera mucha preocupación debido a riesgos sistémicos y fraudes pasados, lo que ha provocado una venta masiva en el espacio BDC. Los BDC han caído un 20% por debajo de su valor liquidativo, sugiriendo tasas de incumplimiento muy altas. Sin embargo, el orador señala que este precio está desconectado de la realidad, ya que la economía estadounidense se mantiene sólida y las tasas reales de impago son menores. Esta situación crea una oportunidad en emisores de crédito privado como Blue Owl. Estas acciones han caído significativamente, ofreciendo altos rendimientos por dividendo (cercanos al 9%). A pesar de los temores del mercado, estas empresas siguen siendo negocios de gestión de activos en crecimiento y están subvaloradas actualmente.

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

El negocio de la gestión de activos y el crecimiento de los ETFs continúan siendo un área explosiva en servicios financieros. Aunque existe una gran proliferación de ETFs, muchos son pequeños, lo que hace que las estadísticas generales sean potencialmente engañosas. El punto crucial que se omite es cómo estos vehículos ofrecen accesibilidad a clases de activos tradicionalmente desatendidas. Se pone especial énfasis en la renta fija, un área enorme donde los ETFs han incrementado drásticamente la liquidez. Los ETFs de renta fija ahora permiten que porcentajes significativos de bonos se negocien diariamente. No obstante, esta alta liquidez también conlleva una vulnerabilidad cuando ocurren dislocaciones importantes del mercado.

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

VanEck mantiene una cartera diversificada que incluye 45 mil millones en oro y metales preciosos, además de acciones, renta fija y recursos naturales. La firma se originó con un enfoque fuerte en el sector minero de oro, aunque reconoce la alta volatilidad de estas acciones. El experto es optimista sobre el futuro del oro, viéndolo como una moneda global emergente. Su principal motivación para poseer oro es actuar como cobertura contra el gasto gubernamental y los déficits presupuestarios. Recomienda iniciar la exposición al oro con lingotes físicos debido a su liquidez histórica. Si se busca diversificar en acciones de oro, sugiere una mezcla inicial de dos tercios en bullion y un tercio en acciones mineras.

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

El análisis sugiere que el reciente buen desempeño del oro frente a las acciones podría indicar que gran parte del crecimiento bursátil se debe a la devaluación del dólar y no solo a la productividad empresarial. A diferencia de ciclos anteriores, los costos de producción de materias primas están aumentando debido a la inflación, lo que dificulta la extracción de recursos. El actual auge de las materias primas está fuertemente impulsado por la demanda masiva de energía e infraestructura para los centros de datos de inteligencia artificial. Además, la necesidad global de independizar las cadenas de suministro de China intensifica la búsqueda y el consumo de estos materiales esenciales como cobre y tierras raras. Este doble factor de alta demanda y dificultad de producción mantiene una presión alcista en el mercado de commodities.

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

El orador analiza la relación entre Bitcoin y metales preciosos como el oro, señalando que BTC no ha seguido su explosión reciente. La adopción institucional sigue siendo lenta, ya que grandes bancos y corporaciones aún no han entrado masivamente en el mercado de criptomonedas. Un obstáculo significativo es la creciente correlación de Bitcoin con el NASDAQ, lo cual disuade a muchos gestores de activos sofisticados. A pesar de esto, el impulso principal para el crecimiento de Bitcoin se basa en el factor tiempo y la maduración de su base de usuarios. Se observa una transición de propiedad, un cambio silencioso donde los inversores minoristas hardcore venden sus participaciones a profesionales institucionales. Esta disminución de la volatilidad está atrayendo interés institucional, aunque esto también cambia las expectativas de los primeros adoptantes.

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

El ponente aborda la gran apuesta de VanEck por el mercado indio como una geografía de alto crecimiento. Argumenta que India ha implementado políticas muy favorables a los negocios, incluyendo un marco regulatorio claro y reformas laborales importantes bajo Modi. Un factor clave es la adopción tecnológica masiva, permitiendo la digitalización de trámites y impuestos para cientos de millones de personas. A pesar de haber mostrado un rendimiento inferior al de otros mercados en el corto plazo, el orador mantiene una alta convicción en su potencial a diez años. Subraya que la paciencia y el pensamiento a largo plazo son cruciales para estas tesis de inversión. También diferencia entre sus perspectivas personales de 10 años y las gestiones de carteras de clientes con horizontes temporales más cortos.

Navigating today's macro environment (28:49)

El entorno macroeconómico actual es muy complejo y contradictorio, ya que la narrativa cambia drásticamente según los datos analizados. La tesis del orador se centra en un período de estabilidad a largo plazo, proyectando que no habrá grandes cambios fiscales o monetarios para 2026. Cree que la Reserva Federal es lo suficientemente inteligente como para entender sus límites y no reaccionará a shocks temporales como el aumento del precio de la gasolina. Su principal preocupación radica en el gasto gubernamental excesivo, advirtiendo contra la ingenuidad política al intentar resolver problemas complejos con soluciones simplistas.

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

Los participantes discuten la insostenibilidad de las obligaciones del gobierno, señalando que el sistema de seguridad social no tendrá fondos suficientes para 2033 o 2034. Existe una gran disonancia entre la creencia pública y la realidad financiera de que el Estado cumplirá con sus promesas. El riesgo de incumplimiento se extiende a los estados, cuyas obligaciones pensionales podrían colapsar si continúan impulsando negocios fuera de sus fronteras. Se compara esta situación con un esquema Ponzi, donde las nuevas entradas son necesarias para pagar las obligaciones antiguas. Si llega una reestructuración económica, es probable que los beneficiarios reciban solo 80 centavos por dólar. Para abordar este problema, el gobierno tendrá que desvalorizar la moneda y llevar a cabo múltiples acciones complejas simultáneamente.

Balancing economic data & sentiment (38:12)

El orador señala una discrepancia entre los datos económicos positivos de EE. UU. y el sentimiento negativo del público sobre sus finanzas. Critica la fiabilidad de las encuestas de sentimiento, como la de Michigan, argumentando que están sesgadas políticamente y son poco representativas. Sostiene que es más importante observar los patrones reales de gasto de la gente que lo que dicen en las encuestas. Los datos económicos a corto plazo pueden ser muy engañosos, por lo que el peso debe recaer en los indicadores de comportamiento real. El enfoque principal para entender el futuro debe estar en grandes tendencias como el empleo y el impacto de la inteligencia artificial. Actualmente, los cambios en el empleo son demasiado sutiles para atribuirlos dramáticamente a la IA debido a la vitalidad económica general.

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

La adopción de la inteligencia artificial en las corporaciones está explotando, impulsada por una demanda creciente de hardware y herramientas avanzadas. Las empresas están experimentando grandes ganancias de productividad al automatizar tareas que antes requerían intervención humana o legal. Inicialmente, el enfoque fue maximizar el uso de tokens, pero rápidamente surgió la preocupación por los altos costos operativos. Actualmente, las compañías se han centrado en un equilibrio delicado: mantener la eficiencia mientras reducen drásticamente sus facturas de IA. Esto implica optimizar meticulosamente el uso de los modelos y eliminar procesos innecesarios que consumen recursos. Este patrón de adopción explosiva combinada con la búsqueda constante de eficiencia es considerado un indicador muy alcista para el sector de la IA.

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

El uso actual de la IA en inversiones se centra principalmente en la investigación y el procesamiento masivo de datos, como los de redes sociales para ETFs. La implementación total de decisiones de inversión por parte de una IA enfrenta desafíos significativos, incluyendo los altos costos transaccionales fuera de grandes firmas financieras. Aunque existe una creciente confianza del público en las sugerencias de la inteligencia artificial, la mayoría de los usuarios aún requieren un humano como punto de control o "interruptor de apagado". La IA está evolucionando para ser más que solo trading de alta frecuencia; muchos clientes desean externalizar la toma de decisiones a sistemas inteligentes. Sin embargo, el experto señala que la interacción actual es más parecida a una colaboración con asesor financiero, donde la IA ofrece información y el humano decide. Además, la IA tiene un gran potencial para combatir los sesgos humanos en la toma de decisiones, como el sesgo de recencia, funcionando como un entrenador o herramienta de apoyo conductual.

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

La filosofía de VanEck se basa en el legado del padre fundador, quien creía que entender los cambios globales tempranamente generaba oportunidades reales para sus clientes. Inicialmente, su padre hizo apuestas significativas en acciones internacionales y oro, aunque la firma ha diversificado considerablemente desde entonces. Actualmente, la empresa se enfoca en identificar profundos cambios de diez años e invirtió fuertemente en mercados emergentes como India. El entrevistado señala que el padre estaría preocupado por el gasto gubernamental, un tema recurrente dentro de la familia. También se critica la irresponsabilidad de los mercados financieros recientes, especialmente tras las acciones tomadas durante la pandemia de COVID-19.

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.
[27:01] >> Hello everyone. Sorry to interrupt this
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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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