
by Anthony Pompliano
41 episodes
Compute bottlenecks are shifting capital from crowded software into physical infrastructure, where multi-year hyperscaler backlogs and power scarcity create durable pricing power.
Institutional adoption and upcoming regulatory milestones are positioning BTC and ETH as foundational macro hedges against persistent currency debasement.
Lean digital fintechs are capturing market share from legacy banks, while select mega-cap tech stocks offer compelling entry points as multiples compress.
AI-generated summary. Not investment advice. Learn more.

Investors should accumulate Bitcoin (BTC) through spot ETFs or self-custody as a foundational long-term macro hedge and digital alternative to gold.
Consider exposure to fintech platform eToro, which presents an attractive entry point trading at under 10x EBITDA alongside strong catalysts in U.S. expansion and tokenized equity collateral.
Position for the emerging multi-trillion-dollar shift toward Tokenized Real-World Assets (RWA) as the DTCC prepares to enable 24/7 on-chain equity clearing by the end of this year.
When deploying Agentic AI Trading Strategies, allocate funds strictly through isolated sub-accounts to test automated analysis and execution without risking primary portfolio capital.

Capitalize on the 3-to-5-year secular buildout by investing in a diversified AI infrastructure basket of compute, optical networking, and industrial hardware featuring NVIDIA (NVDA), Marvell (MRVL), Intel (INTC), Corning (GLW), and Caterpillar (CAT).
Buy Micron Technology (MU) for favorable upside potential into year-end, supported by accelerating AI memory demand and long-term supply agreements that reduce cyclical revenue swings.
Treat price dips and consolidation in Bitcoin (BTC) as buying opportunities for a multi-year holding period as crypto rails become essential for automated machine-to-machine commerce.
Rotate capital away from high-overhead legacy banks like JPMorgan Chase (JPM) and into lean public digital fintech leaders such as Robinhood (HOOD), Coinbase (COIN), and PayPal (PYPL) that capture market share through automated settlement.
Exercise caution with upcoming frontier artificial intelligence public offerings like Anthropic, verifying that revenue growth can withstand margin pressure from open-source alternatives before participating.

Investors should consider taking a long position in Grindr (GRND) to capitalize on an estimated 25% institutional valuation discount alongside strong revenue growth projected to reach $540 million by 2026. GRND offers compelling upside driven by profit margins exceeding 40%, an ongoing share buyback program that has already reduced share count significantly, and high-margin expansion into telehealth and digital healthcare. For Bitcoin (BTC) holders seeking cash, utilizing crypto-backed loans at a 50% loan-to-value ratio provides immediate liquidity without triggering taxable capital gains events. To protect your assets when borrowing against BTC, choose institutional-grade lenders that keep collateral in segregated wallets rather than pooled exchange accounts. Finally, investors targeting Bitcoin mining heading into 2026 should secure flexible hosting contracts with hardware uptime guarantees to protect profitability against margin compression.

Integrate automated accumulation platforms to systematically build a long-term position in Bitcoin (BTC) alongside traditional assets. Look for near-term opportunities to invest in high-growth AI Stocks while utilizing disciplined rebalancing tools to lock in profits at market highs. Rotate capital dynamically across these emerging technology sectors as broader market conditions trigger new all-time highs. Exercise extreme caution and avoid the New York City Multifamily Housing real estate sector due to margin-compressing rent control regulations. Focus your capital away from heavily regulated municipal real estate markets where strict government intervention limits private investment viability.

Adopt a daily Dollar Cost Averaging strategy to accumulate Bitcoin (BTC), treating it as a long-term play on internet-driven financial freedom rather than trying to time short-term price swings.
Keep an eye on pending regulatory milestones like the Genius Act and Clarity Act, which could unlock substantial institutional capital for the broader crypto market.
Shift your artificial intelligence investments away from pure software hype and focus instead on the physical infrastructure layer, particularly companies powering data centers and energy solutions.
Investigate private innovators like Palomino Labs, which tackles data center bottlenecks by cutting electricity and water usage by 40% through micro LED channels.
Finally, target practical AI applications like ProBook that deliver tangible, real-world utility in consumer service industries rather than relying on speculative technology bets.

Accumulate Bitcoin (BTC) on recent dips as a strategic macro hedge ahead of anticipated institutional inflows between late September and October. Buy the dip in foundational AI hardware leaders like NVIDIA (NVDA), Marvell, and Micron (MU), as the recent deleveraging washout has likely marked the bottom for the sector. Rotate a portion of your semiconductor gains into optical networking stocks and precious metals like silver to balance your portfolio risk. Position yourself in the physical AI and robotics trade by focusing on public infrastructure enablers rather than speculative private startups. Treat SpaceX as a prime opportunity where investors gain core value from expanding compute and data center assets alongside a free call option on rocketry.

Allocate capital to Bitcoin through spot Bitcoin ETFs offered by providers like Fidelity, Schwab, and Coinbase to capture future upside while avoiding the technical risks of self-custody.
Anticipate increased inflows into these regulated Bitcoin ETFs over the coming months as investors migrate funds away from hardware wallet vulnerabilities.
Position your portfolio in Apple Inc. (AAPL) as a top indirect AI play, leveraging its ecosystem of over 4 billion active devices to monetize upcoming software subscriptions and app downloads.
Invest broadly across the artificial intelligence supply chain by focusing on hardware and semiconductor providers rather than attempting to pick a single winning AI software model.
Utilize automated retail platforms like Robinhood and ArchPublic to execute disciplined dollar-cost averaging and volatility management strategies across equities and leading digital assets like Bitcoin, Ethereum, and Solana.

Accumulate Bitcoin (BTC) and Ethereum (ETH) as core, long-term portfolio holdings to benefit from expanding institutional adoption by Wall Street giants like BlackRock and Fidelity.
Maximize your capital efficiency by utilizing platforms like Uphold to earn yield on stablecoins like USDC or to take out cash loans against your crypto without triggering taxable events.
Leverage automated cross-asset tools from platforms like Archpublic to rotate capital between surging sectors and execute tax-loss harvesting without facing crypto wash-sale restrictions.
Streamline your portfolio management by seeking out integrated financial services that allow you to swap directly between digital assets and traditional equities like Apple and Tesla in a single step.
When evaluating direct investments in Bitcoin mining, prioritize transparent hosting providers that offer physical hardware ownership, first-year repair warranties, and built-in resale marketplaces to mitigate operational risks.

Allocate approximately 5% of your portfolio to Bitcoin (BTC) as a long-term hedge against inflation and currency debasement.
Use recent market pullbacks to buy infrastructure and hardware leaders like Micron, Samsung, SK Hynix, and GE Vernova.
Target these physical hardware and energy plays because persistent compute scarcity and nearly $2 trillion in hyperscaler backlogs create strong pricing power.
Look to Ethereum (ETH) as a reliable proxy for broader crypto ecosystem growth and network utility as consumer-focused AI agents drive future transaction volume.

Set up automated daily or weekly purchases of Bitcoin (BTC) using institutional platforms to systematically build your crypto holdings. Prioritize reliable infrastructure providers when investing in Bitcoin mining operations for the upcoming 2026 cycle, focusing on proven uptime rather than short-term profits. Capitalize on the ongoing productivity wave by maintaining core allocations in Artificial Intelligence and Technology Stocks, specifically hyperscalers like NVIDIA. Implement a disciplined multi-asset rotation strategy by moving capital into Gold and Commodities whenever equity markets reach overextended levels. Finally, continue holding broad equity benchmarks like the S&P 500 to capture long-term asset inflation and corporate margin expansion.

Accumulate Bitcoin (BTC) as a long-term digital store of value and reliable hedge against monetary inflation, ignoring short-term regulatory noise.
Focus on the overarching global trend of digital asset adoption rather than attempting to time market drawdowns or legislative votes.
Capitalize on recent price compression in Alphabet Inc. (GOOGL) caused by negative free cash flow from aggressive artificial intelligence infrastructure spending.
Treat these temporary setbacks as strategic buying opportunities for GOOGL with a multi-year time horizon as the company aggressively bets on long-term AI dominance.
Rely on GOOGL's massive balance sheet to comfortably fund these multi-billion-dollar investments until the heavy infrastructure spending yields substantial returns.

The ongoing artificial intelligence boom is only in its third or fourth inning, offering a multi-year growth runway for mega-cap technology and infrastructure plays. Focus your investments on the critical supply chain bottlenecks, specifically high-bandwidth memory providers and energy grid solutions that will not reach market equilibrium until 2028-2029. Look beyond pure software to secondary beneficiaries in traditional sectors capitalizing on AI adoption, such as defense giant Lockheed Martin and industrial leader Caterpillar. If you hold Bitcoin and need short-term cash, use Bitcoin-backed lines of credit—such as those offered by Figure at roughly an 8.91% interest rate—to access liquidity without triggering taxable events or selling your upside exposure. Finally, when seeking crypto yield, prioritize products paying up to 9% APY that are backed by transparent real-world assets rather than risky inflationary tokens.

Accumulate Bitcoin (BTC) on dips, keeping a close eye on the Clarity Act in the second half of the year to avoid potential downside risks. Position for long-term growth by buying Micron Technology (MU) during market panics to capture steady, reliable returns within the essential AI hardware sector. Target a yearly return of roughly 30% by focusing on foundational infrastructure players rather than speculative, hyper-growth trades. Capitalize on Google / Alphabet (GOOGL) as its P/E multiple compresses below 20, viewing heavy AI capital expenditures as a necessary fuel for its surging enterprise cloud backlog.

Hedge against persistent inflation and geopolitical risk by maintaining a steady allocation to precious metals like gold and silver.
When investing in the precious metals sector, favor gold and silver royalty companies such as Franco-Nevada or Agnico Eagle over traditional mining operations to avoid escalating operational and labor costs.
Exercise extreme caution with high-beta corporate crypto proxies like MicroStrategy ( MSTR ), as continuous stock dilution and leverage pose severe risks during market corrections.
Protect your portfolio from Bitcoin’s ( BTC ) historical volatility and potential downside targets of $20,000 to $30,000 by strictly managing your risk tolerance and avoiding over-leverage.
Prioritize cash-flowing real assets, such as timberland and productive agricultural operations, over raw land and overvalued U.S. mega-cap tech stocks to ensure steady income and inflation protection.

Investors should look beyond "Big Tech" monopolies and prioritize the Application Layer, specifically companies integrating AI into specialized "real-world" workflows like Legal Tech, Healthcare, and Factory Automation. Focus on the Middleware Layer by investing in "model routing" platforms that optimize costs by switching between different AI models based on task complexity. Consider the Energy Sector—specifically clean energy and grid modernization—as a mandatory infrastructure play, as power availability is now the primary physical constraint on AI growth. Watch for the convergence of AI and Crypto, specifically platforms enabling autonomous AI agents to perform financial transactions using blockchain rails. Monitor vertically integrated companies like Revolut that leverage proprietary data to train their own models, as these firms are better positioned to defend their market share than generic AI wrappers.

Focus on AI Infrastructure by targeting Micron (MU), Samsung, and ASML, as these hardware providers benefit from a supply-demand imbalance that software cannot easily replicate. Use the recent 30-50% retracement in semiconductor leaders as a buying opportunity, specifically monitoring the 200-day moving average for price floors. Diversify into Bitcoin (BTC) and Ethereum (ETH) to hedge against AI volatility, as these assets serve as a "debasement trade" against persistent US budget deficits. Maintain core crypto exposure through MicroStrategy (MSTR) and watch for ETH to hold its 200-day moving average as a signal for a new bullish trend. Avoid traditional SaaS (Software as a Service) companies that are vulnerable to AI disruption, shifting instead toward "Physical AI" plays like Silver, Gold, and Eli Lilly (LLY).

Investors should focus on the "picks and shovels" of the power grid, specifically companies producing transformers, switchboards, and natural gas turbines like GE, which currently face multi-year supply backlogs. The most immediate opportunity lies in Bitcoin miners and deregulated energy markets (such as ERCOT in Texas) that can bypass grid delays by utilizing existing power infrastructure for AI compute. Consider NVIDIA (NVDA) as a continued core holding, as their strategy of releasing open-weight models intentionally drives massive demand for the underlying hardware. For those looking at the next software wave, prioritize Narrow AI firms specializing in verifiable fields like Biotech, Law, and Coding, rather than general-purpose creative models. While speculative, keep a close watch on SpaceX and the development of Starship, as a 4x reduction in launch costs is the primary trigger needed to make orbital data centers a viable asset class.

Investors should prioritize AI-integrated companies that demonstrate the ability to lower unit labor costs, as these firms are best positioned to expand margins in a cooling inflation environment. With CPI data softening and the Fed unlikely to hike rates further, market volatility will remain high, favoring a "data-dependent" approach to broad index positions. The current IPO wave, featuring mega-caps like SpaceX and Stripe, is supported by strong corporate buybacks, suggesting the market has sufficient liquidity to absorb new supply without a price crash. The "debasement trade" for Bitcoin (BTC) and Gold has cooled, meaning these assets should now be traded based on standard macroeconomic fundamentals rather than extreme currency hedge fears. For long-term growth, monitor the housing sector where a shift toward renting and experience-based spending by younger generations is creating a new equilibrium for real estate valuations.

Investors should prioritize the "Memory Trade" by targeting Micron (MU) and SK Hynix, which serve as the primary hardware bottlenecks for the global AI supply chain. As AI shifts toward agentic orchestration, watch for a re-balancing of compute power that could significantly benefit Intel (INTC) and AMD (AMD) as CPU demand rises. To play the critical energy requirements of data centers, consider exposure to Copper and Tungsten, the latter of which is a vital "choke point" metal for high-heat semiconductor environments. In the defense sector, look for opportunities in "Neo-Primes" like Anduril or companies developing humanoid robotics, as military contracts shift toward software-first hardware. While Bitcoin (BTC) remains a defensive hedge, consider rebalancing toward high-growth AI infrastructure or utilizing platforms like Figure Markets to capture higher yields on cash.

The recent correction in semiconductor stocks like Micron (MU) and Samsung represents a strategic buying opportunity, with MU projected to reach significant long-term highs as consumer AI agents drive a 30x increase in compute demand. Investors should maintain high conviction in Apple (AAPL) and Meta (META) as they reprice higher to reflect their dominance in the emerging consumer AI assistant market. In the healthcare sector, Eli Lilly (LLY) remains a "never sell" core holding due to its aggressive integration of sovereign AI for drug discovery. Bitcoin (BTC) is currently at the bottom of its range and is expected to exceed $100,000 within a year, especially if the Fed pauses rate hikes. Finally, monitor Regional Bank ETFs for M&A activity, as larger institutions acquire mid-sized banks to implement AI-driven cost reductions.
The 12 most-discussed assets across The Pomp Podcast’s content on Kazuha (out of 95 total).
Aggregate of all sentiment-scored insights from The Pomp Podcast in the last 30 days.
Kazuha indexes 41 posts from The Pomp Podcast, with AI-extracted insights covering 95 distinct assets (stocks, ETFs, cryptocurrencies, and other investable assets).
The Pomp Podcast's most-discussed assets on Kazuha are BTC, MU, NVDA, GOOGL, ETH. See the "Top assets covered" section above for the full breakdown with sentiment.
Mostly bullish. In the last 30 days, The Pomp Podcast had 59 bullish, 5 bearish, and 1 neutral takes across all assets they discussed (per AI-extracted sentiment scoring on Kazuha).
The Pomp Podcast's publicly available content (podcast episodes, YouTube videos, or X/Twitter posts) is transcribed and analyzed by an LLM that extracts the assets discussed and the speaker's sentiment toward each one. Each insight links back to the original source.