The Pomp Podcast
Business, finance, and Bitcoin with Anthony Pompliano.
Recent episodes
Bitcoin Is The Only Asset That Survives What’s Coming | Jan van Eck
- Bitcoin adoption and price dynamics: VanEck CEO Jan van Eck argues Bitcoin's price should not be expected to surge without fundamental adoption changes. Central banks and corporations have not meaningfully adopted it; only financial investors via ETFs and some asset allocators have. The four-year halving cycle suggests 2026 will see declining miner profitability, historically corresponding to price weakness. - High correlation between Bitcoin and NASDAQ: Bitcoin's 0.6 correlation with the NASDAQ since COVID is a barrier to institutional adoption. Allocators prefer uncorrelated assets for diversification; many limit Bitcoin exposure to 1–2% of portfolios rather than larger allocations because of this equity-like behavior. - India as a 10-year growth thesis: Van Eck is highly convicted on India becoming the size of continental Europe within a decade, driven by pro-business policy reforms, digital infrastructure (mobile phones, digital IDs), restructured labor and bankruptcy laws, and expected highest GDP growth globally—despite recent underperformance. - Private credit dislocations and opportunities: BDC stocks fell to a 20% discount to NAV in early 2025, implying a 10% default rate versus 2.5% in high-yield markets—a significant mispricing. Companies like Blue Owl trade at historically low multiples (9% dividend yield) while still growing, offering both yield and upside despite sector concerns. - Macro stability and long-term portfolio construction: Van Eck expects 2025–2026 to bring minimal fiscal or monetary policy shocks, with employment likely resilient despite AI adoption. The largest tail risk is long-term government spending and potential Social Security insolvency around 2033–2034, which could force restructuring or currency debasement. - AI integration in financial services: VanEck and other firms are deploying AI for research and efficiency gains. Token usage initially soared but is now being optimized downward as teams retain productivity while controlling costs. Full AI-driven investment decisions remain distant due to trading cost constraints and client trust barriers.
Bitcoin Will Breakout By Summer If This Happens | Jordi Visser
- Interest rate expectations: Market shifted from pricing three rate cuts to one potential hike within a year, driven primarily by inflation concerns rather than strong earnings alone. Cleveland Fed now-casting inflation for May estimated at 4.2% year-over-year CPI. - Geopolitical disruption: The Iran-Strait of Hormuz situation has created a three-month supply disruption affecting oil prices and global inventories. Unlike 2022, this is commodity-driven and transitory rather than structural inflation. - Semiconductor and AI trade rotation: After a massive run in memory stocks (DRAM ETF up 4–8x in a year), Visser exited Micron due to extended valuations and timing risk. Rotating into optical semis (Marvell), some Intel weakness, and away from momentum names. - Portfolio repositioning: Moving from memory/semis into commodities (silver, gold) and crypto. Silver demand expected to spike from solid-state battery adoption; expects precious metals and Bitcoin to move together before summer. - Margin pressure risks: S&P 500 profit margins artificially elevated by seven to ten mega-cap names; if these compress due to input costs or adoption slowdowns, it signals a broader market correction. - Federal spending crisis: Entitlements plus interest expense now consume all government receipts. Debt dynamics make rate hikes untenable; government likely forced toward yield curve control, bullish for Bitcoin long-term.
Is AI Taking Money & Attention Away From Bitcoin? | Dan Ives
- AI as a multi-year bull market: Ives emphasizes we are in year three of a 10-year AI buildout, with opportunities across chips, software, infrastructure, and cybersecurity sectors. The trade remains in early innings despite recent gains. - Self-created PR problems in tech: Major AI companies (Anthropic, Microsoft executives) have damaged public perception by publicly discussing job losses, creating regulatory and political backlash that threatens data center construction and infrastructure deployment. - SpaceX as AI derivative play: Ives views SpaceX's orbital data centers and satellite infrastructure as a critical derivative of the AI revolution, with potential 2027 merger with Tesla to consolidate data, energy generation, and compute capabilities. 80% of the valuation is future-oriented. - U.S. leading in AI models and software, China leading in robotics and power: The competitive landscape is nuanced—America has advantages in chips (Nvidia), hyperscalers, and software (Anthropic, Palantir), while China leads in robotics, nuclear power, and applications. Both nations need each other. - Capital rotation from crypto to AI: Bitcoin and crypto are experiencing capital displacement toward AI trades, though Ives views this as normal pendulum shifts in risk allocation rather than permanent displacement. - Data center construction as critical bottleneck: Without data center approvals and construction, AI infrastructure cannot scale. Regulatory delays and local opposition pose existential risk to the entire thesis.
Volatility Is Coming! Here Is How To Profit From It | Andrew Parish & Tillman Holloway
- Tokenization as infrastructure: Tillman and Andrew discuss how 24/7 tokenized markets represent foundational economic transformation requiring massive liquidity expansion. They argue this is a national security priority driving US dollar dominance globally. - Money printing necessity: The speakers contend that expansion of tokenized markets will require unprecedented money supply increases. Banks are already investing in the infrastructure to capture revenue from this shift. - Crypto's role in settlement: Rather than competing with the dollar, crypto becomes the native settlement layer for AI agents and smart contracts trading tokenized assets across 24/7 markets. Humans may not use it directly, but it becomes the backbone of machine-to-machine value exchange. - Volatility as feature, not bug: Discussion positions increased market volatility as inevitable and even desirable—driven by emotion, news cycles, and the democratization of trading through fractional ownership and 24/7 access. - Automation imperative: Humans cannot operate in 24/7 markets manually. Tools like ArchPublic's software become essential for executing pre-programmed strategies without emotional interference. - Private company tokenization: Platforms like Hyperliquid fragmenting private equity access mirrors the day-trading shops of the 1990s—but at scale, with smart contract collateral enabling banks to lend against tokenized assets at unprecedented scale.
Dogecoin & Bitcoin Are Both Signaling Something Big? | Jordi Visser
- Stock market concentration risk: Despite new all-time highs, breadth is poor. Only ~50% of stocks are above their 200-day moving average, with as many 52-week new lows as highs. Consumer stocks (McDonald's, Nike, Whirlpool) are near lows, signaling economic weakness ahead. - Inflation regime shift underway: Month-over-month CPI at 0.6% (down from 0.9%) masks the real problem—headline inflation surprise. Import price inflation and PPI both surprised to upside. If 0.5% monthly prints continue, year-over-year inflation could exceed 6%. - Energy market structural tightness: Iran strait blockade is limiting oil supply. Global inventory drawdowns are accelerating. Unlike past crises, countries now lack excess strategic reserves. Any supply disruption (hurricane, conflict escalation) will have outsized impact given depleted buffers. - AI compute and energy demand explosion: Jensen Huang stated energy needs are 1000X larger than current supply. Inference (agent-based AI) officially began in November, creating explosive demand. Hyperscalers are over-ordering semiconductors without sufficient data center capacity to deploy them—a classic bottleneck/shortage cycle. - Dogecoin as retail sentiment indicator: Not a fundamental thesis, but a technical signal for retail re-engagement in crypto. If Dogecoin breaks out alongside Bitcoin (above 200-day moving average) and Ethereum ($2,450), it signals retail is rotating away from AI stocks toward crypto. - Fed rate dynamics locked in uncertainty: Three-month bill yields at 3.69% versus 3.8% year-over-year inflation creates negative real yields. Treasury yields above 5% historically trigger government response. Fed cannot easily raise rates due to debt service costs (~$1.2T annually); debasement may be the only policy option.
Is This The Next Trillion Dollar Company? | Asher Genoot
- Business model transition: Hut8 evolved from Bitcoin mining operator to AI/HPC infrastructure provider while maintaining 700MW of Bitcoin operations through spinout American Bitcoin, positioning itself as a multi-technology energy infrastructure platform rather than betting on a single technology. - Large-scale contract wins: Two 15-year contracts with investment-grade hyperscalers worth nearly $17 billion in total contract value, structured as take-or-pay triple net leases with no reliance on startup counterparties. - Financing innovation: First investment-grade rated construction-phase data center project in the market, raising $3.2 billion with 16.5-year duration to eliminate refinancing risk—a structural advantage over industry standard 2-5 year bridge financing. - Community concerns and solutions: Data center opposition focuses on energy prices, water usage, noise, and aesthetics. Hut8 addresses these through infrastructure upgrades funded by operators, closed-loop cooling systems, and architectural design that emphasizes visual appeal over warehouse aesthetics. - Supply chain bottlenecks: Energy generation and transmission capacity, long lead-time items (breakers, transformers, switchgear), and chip availability are primary constraints. Hut8 partners deeply with suppliers like Jacobs and Verta to drive efficiency and innovation in manufacturing and design. - Long-term vision: "Physical intelligence" as the next paradigm shift—using AI and robotics to redesign how infrastructure itself is built, similar to how companies like Amazon and Microsoft became trillion-dollar enterprises in the internet era.