
Investors should monitor OpenAI and SpaceX closely as both companies are aggressively scaling enterprise revenue and infrastructure deals to prepare for potential IPO filings. NVIDIA (NVDA) remains a high-conviction play as it locks down global supply chains and faces "enormous demand" for its next-generation chips. Consider SK Hynix (000660.KS) as a critical "pick and shovel" investment, as it has secured a multi-year deal to be the primary memory provider for NVIDIA’s AI hardware. Google (GOOGL) is strategically hedging its AI future by renting massive compute capacity from SpaceX, a move that boosts the valuation of its own 6% stake in the aerospace giant. To capitalize on the next phase of AI, shift focus from simple chatbots to "agentic" workflows and "loops," which will drive massive usage-based revenue for cloud and infrastructure providers.
• The company is planning a major overhaul of ChatGPT, shifting it from a simple chatbot to a "super app" that integrates coding tools, AI agents, and external partner apps. • OpenAI is reportedly pitching the U.S. government on a plan to donate equity to a public sovereign wealth fund, potentially allowing citizens to receive "AI dividends." • The company is shifting resources toward enterprise customers, who now account for 40% of revenue, with a target of 50% by year-end. • Codex has emerged as their most successful product, driving a "vibe shift" toward agentic workflows rather than simple chat.
• Monitor the IPO Path: The shift toward a "super app" and enterprise revenue is a clear signal that OpenAI is grooming its financials and product structure for an IPO (potentially this year). • The "Advantage Gap": Investors and professionals should focus on "agentic" use cases (using AI to perform tasks) rather than "chat" use cases (summarization) to maintain a competitive edge. • Usage-Based Revenue: Expect a shift from flat monthly subscriptions to usage-based pricing as "loops" and agents consume significantly more tokens than standard queries.
• Google has signed a three-year, $920 million per month deal with SpaceX to rent compute capacity (at least 110,000 NVIDIA GPUs). • This deal mirrors a previous landmark deal with Anthropic, positioning SpaceX/XAI as a major "neocloud" provider. • Analysts suggest XAI could generate $26 billion per year in revenue from licensing compute, potentially paying back its $40 billion data center investment in just 18 months.
• Infrastructure as a Business: SpaceX is no longer just a space company; it is becoming one of the largest GPU cloud providers on Earth, rivaling specialized firms like CoreWeave. • Google's Strategic Hedge: Google owns a 6% stake in SpaceX. This compute deal helps ensure they have "bridge capacity" for their Gemini platform while simultaneously boosting the valuation of their own investment. • IPO Watch: With a SpaceX IPO rumored to be imminent, these massive revenue-generating compute deals are likely intended to "puff up" the company's valuation.
• CEO Jensen Huang secured a multi-year deal with SK Hynix to ensure a steady supply of High-Bandwidth Memory (HBM). • NVIDIA will also act as a design partner for new memory chips tailored for physical AI and next-generation Vera Rubin chips. • Huang noted that the entire industry supply chain—from wafers to cable connectors—remains in a state of "supply shortage" due to enormous demand.
• Supply Chain Dominance: NVIDIA’s strategy involves aggressive, face-to-face "diplomacy" to lock down limited global manufacturing capacity, creating a moat against competitors. • Bullish Demand Signal: The CEO’s comments on "enormous demand" and persistent shortages suggest that the AI infrastructure build-out is not yet slowing down.
• The company has solidified its position as NVIDIA’s primary memory supplier through a new multi-year agreement. • The partnership extends beyond supply into co-designing chips for AI infrastructure.
• The "Pick and Shovel" Play: As the primary provider of the specialized memory required for high-end GPUs, SK Hynix is a critical beneficiary of the NVIDIA growth story.
• There is growing bipartisan discussion (Trump and Sanders) regarding the U.S. government taking equity stakes in major AI labs. • Insight: This suggests the government views AI labs as "too big to fail" and critical to national security, similar to the banking or defense sectors.
• The industry is moving away from manual prompting toward "loops"—automated systems where AI agents work continuously to solve complex problems without human intervention. • Insight: Companies that provide the infrastructure for these high-token-consumption "loops" (like Google Cloud, AWS, and SpaceX) stand to benefit from a massive increase in compute demand compared to standard chatbot usage.
• Research from KPMG and Section shows a massive gap between companies that have AI tools and those that derive actual business value (only 12%). • Insight: There is a significant opportunity for consulting and platform firms (like OutSystems or Section) that help enterprises move beyond simple "meeting summaries" to high-value agentic workflows.

By Nathaniel Whittemore
A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.