
The dismissal of the Elon Musk lawsuit significantly de-risks OpenAI, stabilizing investor confidence ahead of a potential IPO or future funding rounds. High-conviction investors are currently long NVIDIA (NVDA) while hedging against the broader semiconductor sector via puts on the SMH ETF, betting on specific infrastructure winners over commodity chipmakers. T1 Energy offers a timely play on the AI power crunch, as domestic solar is the fastest-scaling solution to meet immediate data center energy demands. For long-term infrastructure exposure, look toward "Data Ranches" and companies like Bloom Energy that provide independent power to bypass grid constraints. In the consumer sector, avoid struggling direct-to-consumer brands like Everlane and instead focus on "utility" value plays or dairy processing infrastructure to capitalize on the 50% surge in whey protein prices.
• A U.S. jury found OpenAI CEO Sam Altman not liable in the lawsuit brought by Elon Musk. • The case was dismissed on a technicality: the jury unanimously ruled that Musk waited too long to sue (statute of limitations). • The deliberation lasted only 90 minutes, indicating a decisive win for OpenAI. • Context: This provides a "brief reprieve" for OpenAI as they face competition from Anthropic and Google, and manage a complex balance sheet ahead of potential future public offerings.
• Legal De-risking: The dismissal removes a significant legal cloud over OpenAI’s corporate structure and its transition from a non-profit to a "capped-profit" entity. • Market Sentiment: This is viewed as a victory for the current OpenAI leadership, potentially stabilizing investor confidence in the lead-up to further funding rounds or an IPO.
• Massive attention is being paid to the fund's 13F filing (dated March 31, 2026). • The filing reveals a $2 billion position in puts against the SMH (VanEck Semiconductor ETF). • Aschenbrenner is reportedly long NVIDIA (NVDA), suggesting a thesis that value is concentrated in specific winners rather than the broad semiconductor sector. • Risk Factor: 13F data is a "snapshot" and is considered stale (over 45 days old). Positions may have been hedges during the Iran war period and might not reflect current holdings.
• Selective Semi-Investing: The bearish stance on the SMH ETF combined with a long position in NVIDIA suggests a strategy of picking specific infrastructure winners while betting against "overheated" or "commodity" chipmakers. • Copy-Trading Warning: Retail investors are cautioned against blindly following these filings due to the high turnover and complex option structures (notional value vs. actual capital deployed) used by hedge funds.
• The stock rose 17% following news of a position held by Leopold Aschenbrenner. • The company focuses on building solar panels in the U.S. (formerly a Chinese entity that divested). • Thesis: AI creates an unprecedented demand for power; solar is seen as a shorter-term fix compared to nuclear power, which has a longer lead time (2032+).
• Energy/AI Nexus: Investors are increasingly looking at energy providers as the "picks and shovels" of the AI boom. T1 Energy represents a play on domestic renewable infrastructure.
• Bloom Energy: Mentioned as a long-term holding in some AI-focused portfolios, though recent filings suggest some investors may be trimming positions. • The "Stratos Project" (Utah): A massive proposed data center (40,000 acres, 9 gigawatts) championed by Kevin O'Leary. • Investment Theme: "Data Ranches" or remote data centers that buy their own water rights and build independent power plants to bypass local grid constraints. • Public Backlash: 70% of Americans oppose local data centers due to concerns over noise, water usage, and "waste heat" (thermal load).
• Incentive Shifts: There is a growing proposal to move from "tax benefits" for local governments to "direct checks" to residents (e.g., $10,000/year) to gain community approval for large builds. • Sector Risk: Political and social opposition (moratoriums in Texas and Missouri) is becoming a primary bottleneck for AI scaling, potentially favoring companies that can build in uninhabited areas or in space (SpaceX/Starlink).
• Redis is transitioning from an "open source cache" to a "real-time AI context engine." • New Product (Iris): A data layer that allows AI agents to retrieve context faster and more cheaply than querying traditional databases. • Business Model: Revenue sharing with Microsoft Azure and marketplace presence on AWS/Google Cloud.
• Efficiency Play: As companies deploy thousands of AI agents, the cost of "token usage" becomes a major line item. Redis (and its Iris product) aims to reduce these costs by providing "tighter" context to models. • Infrastructure Shift: Redis is moving from RAM-based storage to Flash-based storage to handle the massive data requirements of AI at a lower price point.
• Announced a $100 million funding round. • Product Lines: • Lucy: Real-time video world model for streaming and e-commerce. • Oasis: World model for robotics and autonomous vehicles. • DOS 2.0: An inference engine that is reportedly 5-8x more performant than competitors, supporting NVIDIA, Google TPU, and Amazon Trainium.
• Compute Optimization: With a chip shortage projected through 2028, software that extracts more performance from existing hardware (like DOS 2.0) is highly valuable. • Real-Time Video: The "Lulu.ai" platform demonstrates that real-time AI video is moving from "demo" to "utility" for creators and streamers.
• Everlane was sold to Shein for approximately $100 million (roughly the amount of its debt). • Context: A "VC darling" that raised $145M but struggled with the "DTC (Direct-to-Consumer) trap"—high customer acquisition costs and a lack of network effects. • Contrast: Quince, Uniqlo, and Amazon are winning on price, while Everlane's "ethical/sustainable" premium lost its luster.
• DTC Consolidation: The sale signals the end of the "DTC era" where high-growth apparel brands were valued like tech companies. • Market Winners: Investors are favoring "utility" and "value" brands (like Huel or Grown) that can scale into mass-market retail (Target/Walmart).
• Wholesale prices for food-grade whey protein have risen over 50% since January. • Bottleneck: A $1 billion capital expenditure (CapEx) requirement to build new processing plants, with a multi-year lead time. • Investment Opportunity: Companies involved in dairy processing infrastructure and "Whoop for cows" technology (cattle monitoring).
• Commodity Alert: Whey is no longer a "waste byproduct" but a high-demand commodity. Expect retail price increases in supplements and protein-fortified snacks.

By John Coogan & Jordi Hays
Technology's daily show (formerly the Technology Brothers Podcast). Streaming live on X and YouTube from 11 - 2 PM PST Monday - Friday. Available on X, Apple, Spotify, and YouTube.