GET IN EARLY! These 3 Stocks Will Make Investors Rich by 2030

Quick Overview

CoreWeave is presented as the best long-term AI infrastructure stock investment among the three compared companies (CoreWeave, Nebius, and IREN) due to its significantly larger scale, superior revenue growth, strong contracted power capacity, and major partnerships with hyperscalers like Microsoft and Meta, despite recent stock volatility and legal challenges.

Key Points: CoreWeave is deemed the best investment among the three due to its superior scale metrics across the board, including market cap ($55B), revenue run rate ($5.1B), and GPUs deployed (300,000). Nebius shows the highest revenue growth (547% YoY) and the highest target run rate guidance for 2026/27 ($7-9B), but its current scale is significantly smaller than CoreWeave's. IREN, while growing at 160% YoY, has the highest contracted power capacity (4,500 MW) and the most data centers (6), but its revenue metrics are the smallest of the three. CoreWeave's revenue backlog is massive at $66.8B, growing by $50B Year-over-Year, reflecting substantial demand from large deals with AI labs and hyperscalers. Recent negative news for IREN includes a stock drop after earnings, concerns over its debt load, and multiple class-action lawsuits against its officers regarding disclosures. CoreWeave secured a $6.3B order from Nvidia and an additional $2B investment from Nvidia for AI Factory collaboration, showcasing deep ties with the GPU leader. The video creator personally favors CoreWeave due to its superior scale, aggressive growth, and strong partnerships, despite acknowledging the volatility seen in IREN's stock price.

Context: The video analyzes three publicly traded AI infrastructure cloud providers—CoreWeave (CRWV), Nebius Group NV (NBIS), and IREN Ltd (IREN)—to determine which presents the best long-term investment opportunity. The analysis compares key financial and operational metrics like market capitalization, revenue growth, GPU deployments, and contracted power capacity, setting them against the backdrop of massive spending by hyperscalers like Microsoft and Meta on AI computing infrastructure.