CoreWeave vs. Applied Digital: Which AI Data Center Stock Will Make You Richer?

CoreWeave exited 2025 with a $66.8 billion contracted backlog and revenue that surged 168% to >$5.1B, with 850 MW of active power now and guidance to exceed 1.7 GW by end-2026 and >3.1 GW contracted (mostly online by 2027); analysts forecast revenues of $12.4B in 2026 (+142.5%) and $23.1B in 2027 (+86%), and the stock trades at ~8.5x sales. Applied Digital has contracted ~600 MW (~$16B prospective lease revenue) including a 400 MW campus leased to CoreWeave (~$11B over 15 years) and reported fiscal Q2 2026 revenue up 250% to $126.6M with a $31.2M net loss; analysts expect revenues of $346M in fiscal 2026 (+61%) and $535.6M in 2027, and it trades at ~27.3x sales. Overall, CoreWeave appears better positioned for higher returns given faster growth, stronger backlog and a lower sales multiple, but material execution and financing risks (heavy 2026 capex of $30–35B and near-term margin/debt pressure) remain for both companies.

Analysis

Infrastructure owners, hyperscalers, and the GPU supply chain are diverging winners. Land, power contractors, and electrical-equipment OEMs gain durable, predictable cashflows from long leases, while GPU vendors and specialized colo operators capture the upside of bursty compute demand — creating a two-speed market where compute-as-a-service margins compete with build-and-hold IRRs. Expect pressure on mid-tier cloud incumbents that neither own cheap capital nor deep OEM relationships, as they will be squeezed between hyperscalers’ scale and vertically integrated AI-native operators.

The primary macro/operational risks are financing cadence and supply-cycle normalization. Heavy upfront capital requirements make access to debt and structured lease financing the gating factor over the next few years; a meaningful repricing of credit or a moderation in enterprise AI IT spend would disproportionately hurt fast-scaling operators relative to landlords with investment-grade tenants. Separately, an acceleration in GPU supply or a move to more compute-efficient model architectures could compress utilization and pricing, reversing current pricing power within a single hardware cycle.

Actionable relative-value opportunities arise from disconnects between growth optionality and multiple compression. Positions that long operationally scalable, contract-backed cashflows while shorting execution-dependent rollouts capture convexity if projects slip or financing tightens. Hedged option structures (buying calls as convex exposure and selling nearer-term premium) buy time for execution without committing large capital while capping downside from a sudden financing shock.

Key Decisions for Investors

• Long CRWV equity (2% NAV) with 12–24 month horizon; target ~2x on successful execution of capacity ramp and financing windows; hard stop-loss at 30% to limit exposure to a financing or demand shock.
• Buy 9–15 month CRWV calls (out-of-the-money) sized as 0.5% NAV to capture asymmetric upside while risking only premium; finance by selling near-term covered calls on a liquid tech name (e.g., NVDA) if option spreads are favorable.
• Pair trade: long CRWV / short APLD equal-dollar (1% NAV each leg) over 12 months — long the operator with variable pricing, short the high-multiple build-to-lease exposure; unwind if APLD funds projects with non-recourse lease financing or if CRWV misses capacity milestones.
• Protective hedge: buy 6–12 month APLD puts (or short APLD) sized to cover tail risk from project slippage when long CRWV; rationale is to guard against correlated execution/credit squeezes across the ecosystem.