Top 3 AI Stocks I'm Buying Now (Even Over NVIDIA Stock)

Key Concepts

• NeoClouds: Specialized cloud infrastructure providers optimized for AI workloads (training, fine-tuning, and inference) using dense GPU clusters, high-speed networking, and advanced cooling.
• Hyperscalers: Large-scale cloud providers (AWS, Azure, Google Cloud) traditionally built for CPU-heavy tasks like web hosting and database management.
• Sovereign AI: AI infrastructure designed for regulated industries (government, healthcare, finance) requiring high data security and compliance.
• Agentic Search: AI-driven search infrastructure designed for autonomous agents to perform complex tasks like coding or financial trading.
• Capex (Capital Expenditure): Funds used by companies to acquire or upgrade physical assets like data centers, power grids, and GPUs.
• Backlog: The total value of signed, multi-year contracts that represent future revenue.

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1. The NeoCloud Market Landscape

The video identifies CoreWeave, Nebius, and Iron as the "NeoCloud" leaders. Unlike traditional cloud providers, these companies focus on AI-specific compute.

• Market Growth: The global NeoCloud market is projected to grow at a 50% CAGR, reaching a $1 trillion valuation by 2034.
• The "Zero-Sum" Race: These companies are in a high-stakes race to secure land, power, and hardware (GPUs). Because these resources are finite, one company’s gain is often another’s loss.
• Common Risks: All three companies recently underperformed earnings expectations due to massive, front-loaded capital expenditures (capex) and aggressive spending on infrastructure, leading to stock volatility and shareholder lawsuits.

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2. Company Deep Dives

CoreWeave (The Market Leader)

• Scale: Operates 43 data centers with 850 MW of active power and 3.1 GW of contracted power.
• Financials: $1.6B quarterly revenue (up 110% YoY); $66.8B revenue backlog.
• Key Partnerships: Massive contracts with OpenAI ($22.4B), Meta ($14.2B), and Nvidia ($6.3B).
• Strategy: Offers a "full-stack" platform (GPUs, storage, networking, software, and runtime tools), which increases customer stickiness and pricing power.
• Legal Context: Facing civil securities lawsuits regarding disclosures of data center delays and guidance cuts. The author views these as typical "post-IPO noise" rather than existential threats.

Nebius (The "Palantir of AI Infrastructure")

• Focus: Sovereign AI and regulated industries.
• Financials: $228M quarterly revenue (up 547% YoY); targeting $7–9B run rate by 2026.
• Key Partnerships: $17.4B deal with Microsoft and $3B with Meta.
• Diversification: Acquired AVID (autonomous vehicles) and Tavali (agentic search) to create a comprehensive ecosystem for developers.
• Outlook: High growth potential through vertical integration, though heavily reliant on executing massive construction projects.

Iron (The High-Risk/High-Reward Play)

• Pivot: Transitioning from Bitcoin mining to AI infrastructure.
• Financials: $185M revenue (down 23% due to the Bitcoin-to-AI shift); AI cloud revenue grew 137% QoQ.
• Power Advantage: Secured 4.5 GW of grid-connected power, providing significant flexibility for future monetization.
• Funding: Announced a $6B "at-the-market" equity program to fund 50,000 additional Blackwell GPUs. While this creates dilution risk (up to 42% of float), it provides the capital necessary to scale.

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3. Comparative Analysis & Synthesis

| Metric | CoreWeave | Nebius | Iron | | :--- | :--- | :--- | :--- | | Primary Strength | Scale & Nvidia backing | Sovereign/Regulated focus | Power capacity (4.5 GW) | | Risk Profile | Moderate (High growth) | High (Execution risk) | Highest (Dilution/Pivot risk) | | Best For | Growth investors | Sovereign/Agentic focus | Diversification/Optionality |

Key Takeaways:

• CoreWeave is recommended for newer portfolios due to its established scale and deep-pocketed partners.
• Nebius is the preferred choice for investors seeking exposure to sovereign AI and autonomous agent ecosystems.
• Iron is identified as the best "value" play for those who prioritize power-secured infrastructure, despite the volatility associated with its business model transition.

Final Synthesis: The author argues that despite the recent sell-offs and high capex, these companies are building the essential "critical infrastructure" for the AI revolution. The current volatility is a byproduct of the massive, front-loaded investment required to dominate the sector. The author maintains a long-term bullish stance, continuing to dollar-cost average into all three.