Limitless: An AI Podcast

Investors should maintain high exposure to NVIDIA (NVDA) as Anthropic’s resource-heavy Fable 5 model proves that demand for high-end GPUs for AI inference and training remains at peak levels. Consider shifting toward enterprise software firms with massive legacy codebases, like Stripe, which are seeing immediate, massive cost reductions by using AI to automate months of manual coding in a single day. Monitor your AI subscriptions closely, as Anthropic is expected to move from flat-rate pricing to a "pay-per-usage" credit model after June 22nd due to extreme compute costs. Look for investment opportunities in professional service sectors like architecture and engineering, where Fable 5’s new spatial reasoning capabilities are beginning to automate high-level expert tasks. Be aware of a growing "regulatory moat" where only vetted institutional partners gain access to the most powerful models, potentially creating a significant market advantage for elite firms over the general public.

Investors should prepare for a massive hardware upgrade cycle in Apple (AAPL), as "Apple Intelligence" features will require the iPhone 17/18 or newer to function. Alphabet (GOOGL) remains a high-conviction infrastructure play, securing a billion-dollar revenue stream by integrating its Gemini model as the primary engine for complex Siri queries. The shift toward "Edge Inference" (running AI locally on devices) poses a significant threat to the $20/month subscription models of OpenAI and Anthropic, potentially shifting market value back to hardware manufacturers. Monitor companies specializing in 3D Gaussian Splatting and spatial computing, as this technology is now the foundational software for Apple’s future AR Glasses and mapping tools. While long-term prospects are bullish, be mindful of regulatory delays in the EU and China that could slow the global rollout of these AI features through 2026.

NVIDIA (NVDA) remains the top-tier conviction play as it expands beyond GPUs into a $20 billion CPU business, effectively positioning itself to dominate the entire data center architecture. Investors should look to Marvell Technology (MRVL) as a critical "picks and shovels" infrastructure play, especially following a $2 billion investment from NVIDIA to secure vital networking components. While Microsoft (MSFT) offers massive enterprise distribution, execution risks remain high as they attempt to pivot from software into unproven AI hardware and independent "reasoning" models. Amazon (AMZN) faces significant regulatory and timeline risks for its Project Kuiper satellite network following a catastrophic Blue Origin rocket explosion, further solidifying SpaceX's market monopoly. Monitor Apple (AAPL) during the upcoming WWDC for a "make or break" AI strategy reveal, alongside a high-profile OpenAI hardware launch expected by Q4 2024.

Investors should consider a defensive stance on Meta Platforms (META) as massive security failures in its AI-powered recovery tools expose the company to significant reputational risk and potential regulatory crackdowns. To hedge against the rising threat of AI-driven "social engineering" and 2FA bypasses, shift toward hardware-based security solutions like Yubico (YUBI) or Apple (AAPL), which maintains a superior brand moat through its focus on on-device privacy. The cybersecurity landscape is shifting toward AI Red Teaming and Prompt Injection Defense, making firms that provide guardrails for Large Language Models high-conviction growth plays. Monitor Anthropic (private) as the industry benchmark for AI safety, as their "security-first" approach is increasingly favored by government entities over Meta’s "ship first" culture. Within the next 6 to 12 months, expect a surge in demand for automated defense platforms capable of patching vulnerabilities in real-time to counter the next generation of AI-driven hacking tools.

Prepare for a historic wave of IPOs as SpaceX, Anthropic, and OpenAI look to raise a combined $180 billion, with SpaceX rumored to debut as early as June or July 2024. Investors should watch for massive immediate buying pressure on SpaceX stock, as index providers may waive traditional rules to force over $30 trillion in passive retirement funds to buy shares within five days of the IPO. Anthropic is emerging as the high-conviction "value" play, boasting $45 billion in revenue and a path to profitability this month driven by enterprise tools like Claude Code. For a lower-risk entry into this ecosystem, Alphabet (GOOGL) serves as a strategic proxy, as it holds significant stakes in both SpaceX and Anthropic while recently securing a $10 billion investment from Berkshire Hathaway. While these offerings present massive growth potential, be mindful that the rapid relaxation of index inclusion rules mirrors late-stage market cycles seen during the dot-com era.

Investors should look beyond chipmakers to hardware integrators like Dell Technologies (DELL), which is seeing 800% growth in AI server revenue as a primary partner for NVIDIA’s next-generation racks. DELL is the top play for "on-premise" AI, serving high-security sectors like defense and banking that require private, local infrastructure rather than cloud-based solutions. NVIDIA (NVDA) remains a high-conviction hold as it expands into the mid-market with the DGX Station, a $100,000 "supercomputer in a box" designed for startups to run massive models locally. For consumer hardware exposure, Microsoft (MSFT) is a timely opportunity as its new Surface Laptop Ultra directly challenges Apple’s dominance by integrating high-end NVIDIA RTX Spark chips for local AI development. Monitor the "onshoring" trend and political momentum favoring US-based manufacturers like Intel (INTC) and IBM as the government pushes to move the AI supply chain back to American soil.

Investors should closely monitor Meta (META) as it launches a tiered AI subscription model, with the $8/month Meta 1 Plus plan positioned to capture the mass market by undercutting competitors. Snowflake (SNOW) remains a high-conviction play for enterprise AI integration, as its "data gravity" makes it the preferred orchestration layer for companies running AI agents on proprietary data. For those seeking exposure to the next frontier of infrastructure, specialized semiconductor firms focused on radiation-hardened chips are becoming critical as SpaceX moves toward launching orbital data centers by 2028. High-level professional users should prioritize the $20/month tiers of OpenAI and Anthropic, which currently maintain a significant performance lead in complex reasoning and long-horizon coding tasks. Capital is rapidly shifting toward the "Harness Economy," making AI agent platforms like Cognition and Cursor the primary targets for growth-oriented investment.

Maintain a core long-term position in NVIDIA (NVDA), as its pricing power and massive demand from hyperscalers could eventually drive its market cap toward $10 trillion. Diversify into the "connectivity layer" by investing in Astera Labs (ALAB), which acts as essential plumbing for the massive data center clusters required for AI scaling. Capitalize on the critical shortage of high-speed memory by holding Micron Technology (MU), a primary beneficiary of the "memory problem" that currently constrains AI performance. For exposure to the next phase of AI, look to Apple (AAPL) for on-device "Edge AI" and Unity Software (U) for the simulation tools needed to train humanoid robots. Given the high energy demands of data centers, consider energy solution providers like Bloom Energy (BE) while using NASDAQ 100 (QQQ) puts to hedge against broader market volatility.

Investors seeking high-growth opportunities in the "optimization economy" should focus on AI-driven biotech, where Eli Lilly (LLY) and Alphabet (GOOGL) are leveraging massive internal labs to accelerate drug discovery. For direct exposure to the emerging performance-enhancement market, Enhanced Games (ENHA) offers a high-risk, speculative "moonshot" play following its recent 50% price correction. The real value in ENHA lies in its direct-to-consumer subscription model for supplements and peptides rather than just event ticket sales. Meanwhile, the broader trend toward personalized medicine and longevity suggests long-term growth for companies providing FDA-approved hormone replacement and performance stacks. Exercise caution with over-hyped supplement claims, as data shows that elite genetics and training still remain the primary drivers of athletic performance.

Investors should prioritize companies building the "agent harness" or orchestration layer rather than simple AI wrappers, as Cursor has demonstrated this model's defensibility by scaling revenue from $100 million to $3 billion in under a year. Keep a close watch on SpaceX and xAI ahead of a rumored June 12th IPO date, as a potential $60 billion acquisition of Cursor would create a dominant, vertically integrated "Elon Stack" for AI development. For those seeking enterprise efficiency, Cursor’s Composer 2.5 is a high-conviction alternative to Google (Gemini) and OpenAI, offering frontier-level performance at 8x to 12x lower costs. Monitor the competitive pressure on Anthropic (Claude) and Microsoft (GitHub), as the market shifts value away from raw foundational models toward agentic workflows that automate software engineering. Be mindful of the high-valuation risks and Cursor's current dependency on third-party models like Kimi K 2.5 before the projected integration with Grok architecture.

The upcoming SpaceX IPO offers a rare retail opportunity with a massive 30% share float, positioning the company as a dominant AI infrastructure provider through its "Colossus" superclusters. Investors should prepare for potential early volatility in SpaceX due to an unorthodox 30-day staggered lock-up period for insiders if the stock price rises significantly. Anthropic is emerging as a high-conviction play for profitability and efficiency, projected to hit $100 Billion ARR by late 2025 while securing its hardware future through a $45 Billion compute deal. While NVIDIA (NVDA) remains the backbone of Western AI clusters, investors must weigh its long-term growth against the permanent loss of the Chinese market to domestic competitors like Huawei. Monitor OpenAI for a potential S1 filing this week, which will provide the first transparent look at the company’s financials and burn rate amid intensifying competition.

Investors should consider Alphabet Inc. (GOOGL) as a core AI holding, as its integration of Gemini 3.5 Flash into Search and YouTube is driving revenue growth and creating a massive ecosystem moat. Keep a close watch on the AI Wearables sector, specifically Google and Meta, ahead of a projected "Year of AI Glasses" in 2026 that will feature heads-up displays and world-model integration. For those with access to private markets, Anthropic is the high-conviction play for professional coding and enterprise "quality," with internal projections targeting a massive $45 billion ARR by 2028. The industry is shifting from simple chatbots to Agentic AI and World Models, favoring companies like Google that can simulate physical reality for robotics and long-horizon task automation. Monitor specialized semiconductor developments, as Google’s TPU v8 and Cerebras architecture are beginning to challenge NVIDIA by optimizing for specific AI inference and speed requirements.

The investment narrative is shifting from AI chip designers to the infrastructure that powers them, with a massive $1.9 billion bearish bet against NVIDIA (NVDA) and a $2 billion short on the SMH ETF. Investors should consider rotating out of overcrowded semiconductor names like AMD, Broadcom (AVGO), and ASML in favor of energy and power access plays. Bloom Energy (BE) remains a high-conviction holding for its ability to provide off-grid power to data centers, while Applied Digital (APLD) and Iron Mountain (IRM) offer direct exposure to specialized AI cloud infrastructure. Bitcoin miners such as CleanSpark (CLSK) and Riot Platforms (RIOT) are emerging as "pivot plays" because they already own the power permits and data center space required for AI scaling. Finally, look to Western Digital (WDC) and Micron (MU) to capture the next AI bottleneck in memory and NAND flash storage, where supply is reportedly booked out through 2027.

Investors should consider Alphabet (GOOGL) as it aggressively targets the mass-market laptop segment with the Google Book, a competitively priced AI-native device ($200–$500) designed to disrupt the traditional OS market. Keep a close watch on SpaceX for a potential landmark IPO, as the company transitions from a launch provider to a critical AI infrastructure "toll master" through massive data center deals with Google and Anthropic. While NVIDIA (NVDA) remains a high-conviction play, monitor geopolitical trade rebalancing with China which could reopen significant revenue streams currently restricted by export bans. Avoid purchasing private shares of Anthropic or OpenAI through unauthorized secondary market SPVs, as these companies have warned they will void unapproved transfers. For long-term growth, prioritize companies like Meta (META) and Google that possess the distribution power to dominate the shift from text-based AI to "omni-models" that integrate voice and video natively.

The AI Memory sector has shifted from a volatile commodity to a critical bottleneck, with manufacturers already booked through 2027 and demand expected to scale 10x to 50x as AI moves into the inference phase. For direct exposure to the market leader, SK Hynix (000660.KS) is the primary provider for NVIDIA and remains attractively valued at a forward P/E of just 5x to 6x. US-based investors should look to Micron Technology (MU) as the premier domestic "pure play" that is currently benefiting from massive supply deals with Google. If you prefer a diversified approach, the Strive Global Healthcare & AI Memory ETF (DRAM) offers a concentrated basket of the "Big Three" manufacturers (SK Hynix, Micron, and Samsung) in a single ticker. While the long-term outlook is bullish, investors should be mindful of the historical 18-month cycle peak occurring in late 2024 and prepare for potential short-term volatility following recent parabolic gains.

The upcoming Cerebras Systems IPO marks a critical shift in the AI market from "training" to "inference," with the company seeking a $150/share price target and a $4.8 billion raise. While NVIDIA (NVDA) remains the leader in training, Cerebras offers a specialized hardware advantage using SRAM technology that is reportedly 20x faster for running AI models. Investors should exercise caution during the IPO launch, as high demand may cause a significant first-day "pop" followed by a potential short-term "dump" due to its premium 51x revenue valuation. This listing is expected to trigger an "AI IPO Summer," potentially opening public market access to high-growth firms like OpenAI, SpaceX, Anthropic, and Databricks. For long-term exposure to the "Agentic AI" era, monitor companies mastering high-speed SRAM integration, as this architecture is becoming the gold standard for real-time AI reasoning.

Investors should consider Alphabet Inc. (GOOGL) as a strategic AI play, as its $200 billion deal with Anthropic secures long-term cloud revenue and validates its TPU hardware as a viable NVIDIA alternative. Meta Platforms (META) offers a de-risked investment opportunity because the company can pivot to leasing its massive GPU stockpile to other labs if its internal AI products underperform. While SpaceX remains private, its transition into a "NeoCloud" infrastructure provider via the Colossus clusters makes it the dominant landlord of the AI era. In the startup space, Eleven Labs is a high-conviction leader in audio AI with $500 million in ARR, while Peter Thiel-backed Panthalassa is a key player to watch for solving data center power constraints. For those looking at sector-specific growth, Anthropic is a primary beneficiary of increased compute, with new AI agent templates poised to automate high-value tasks across the financial services industry.

The AI investment cycle is shifting from GPUs toward CPUs, with AMD and Intel (INTC) becoming essential for "Agentic AI" orchestration; Intel specifically offers a long-term floor near $20.47 due to heavy US government backing. High-conviction opportunities exist in the memory sector, where Micron (MU) and Western Digital (WDC/SanDisk) are seeing unprecedented demand for high-bandwidth memory and NAND flash that is already sold out through 2028. For diversified exposure to the memory bottleneck, the Roundhill Memory ETF (MEMY) provides a targeted basket of these high-growth hardware producers. Investors should look beyond chips toward power and infrastructure plays like GE Vernova (GEV), Constellation Energy (CEG), and Bloom Energy (BE) to solve the massive electrical shortages currently idling data centers. While NVIDIA remains the industry leader, the highest potential returns are moving "out the risk curve" to these secondary layers of the AI stack funded by the $1.1 trillion in projected capital spending from Google, Microsoft, and Meta.

Investors should monitor TSMC (TSM) and Qualcomm (QCOM) as primary beneficiaries of the "AI Phone" race, as both Apple (AAPL) and OpenAI compete for 2-nanometer chip capacity and mobile processing power. Apple (AAPL) remains a defensive core holding, but its hardware moat faces a long-term threat from OpenAI’s upcoming predictive smartphone, which aims for a massive 40–50 million unit launch by 2027. For exposure to the OpenAI hardware supply chain, Luxshare is emerging as a high-conviction assembly partner to watch as production potentially begins in Q2 2025. Anthropic is the top play for enterprise AI growth, specifically through its high-value financial services partnerships with Goldman Sachs (GS) and Blackstone (BX). While OpenAI targets a $1.3 trillion IPO valuation via consumer hardware, Anthropic is building a "sticky" B2B moat by making its Claude model the industry standard for Wall Street workflows.

Investors should prioritize "vanilla maxing" by focusing on native tools from OpenAI and Anthropic rather than third-party "wrappers," which are increasingly being rendered obsolete by rapid feature integration. OpenAI has regained a dominant lead in coding and autonomous execution with Codex, making it the high-conviction choice for productivity-focused implementation. Watch for the release of Anthropic’s "Mythos" model in June or July as a major market catalyst that could shift the competitive landscape back toward their ecosystem. Beyond the models, the most stable long-term opportunity lies in the "Power Stack," specifically stocks tied to data center utilities and power grid infrastructure that act as the physical bottleneck for AI scaling. Avoid investing in small-scale AI startups that lack a proprietary model, as specialized "harnesses" like Cursor are becoming the only third-party tools with significant acquisition value.