OpenAI is ‘strongly positioned,’ says Wedbush’s Dan Ives

OpenAI reportedly missed its internal target of 1 billion weekly active users by end-2025, reaching about 900 million in February, while also missing multiple monthly revenue targets and facing questions about whether revenue can support up to $600 billion of compute spending by 2030. The company and CFO Sarah Friar rejected the report's claims, but the headlines triggered selling in AI-linked stocks including Oracle, CoreWeave, Nvidia, and AMD, with the Nasdaq 100 down about 1.5%. OpenAI remains a major private-market AI bellwether, with prior reports projecting revenue above $280 billion by 2030 and a recent $122 billion funding round valuing it at $852 billion.

Analysis

The market is treating this as a demand-reality check on the AI capex complex, but the more important second-order issue is financing discipline. If one of the few anchor tenants in the ecosystem starts signaling strain, the marginal buyer of compute becomes less about narrative and more about visible monetization, which raises the hurdle rate for every other hyperscale and model company trying to justify multi-year capacity commitments. That matters most for suppliers with the highest revenue concentration to AI buildout, because the equity market will start discounting not just order volume, but the durability of those orders.

The near-term losers are the names with the most leverage to perceived AI infrastructure acceleration: CRWV is the most vulnerable because its valuation is tied to sustained scarcity pricing and rapid utilization expansion, while ORCL faces a tougher questions-on-backlog dynamic if investors begin to haircut the terminal value of contracted AI capacity. NVDA and AMD are less exposed to one customer’s economics than to the broader implied spend curve; if capex multiple compression spreads, their downside comes from sentiment and multiple compression rather than immediate unit loss. GOOGL is comparatively insulated and may even benefit if capital discipline forces some workloads toward a vertically integrated platform with a broader distribution moat.

The key catalyst window is the next 1-3 months, when investors will look for any evidence that AI monetization is catching up to spend via enterprise uptake, product launches, or cloud channel checks. If those data points fail to improve, the selloff can extend from a one-day positioning flush into a longer de-rating of the entire AI supply chain. Conversely, a strong enterprise adoption read-through or a major model rollout can quickly reverse the tape because this is still a sentiment-driven trade, not a fundamentals-confirmation trade.

The consensus may be underestimating how quickly a private-company funding narrative can change public comps. Even if the core business is intact, markets usually punish any hint that future contracts need balance-sheet support; that is how “growth story” stocks lose 20-30% in a few sessions despite no immediate earnings revision. The contrarian view is that this is likely an overreaction for NVDA/GOOGL, but not necessarily for the more levered infrastructure names where expectations were already pricing near-perfect uptake.

Key Decisions for Investors

• Short CRWV for 1-4 weeks against the open gap if liquidity remains strong; target 10-15% downside on multiple compression, with a tight stop above the prior swing high because the name can re-rate violently on any positive demand commentary.
• Buy NVDA on weakness via a 1-3 month call spread rather than outright stock; risk/reward favors exposure to any AI sentiment rebound while capping downside if capex fears broaden into a multi-week factor unwind.
• Initiate a relative-value pair: long GOOGL / short ORCL for 1-2 months, betting that diversified platform exposure and lower customer-concentration risk will outperform if investors start penalizing perceived financing fragility in AI infrastructure.
• Fade ORCL only on strength, not into panic; use a 2-6 week horizon and size modestly because backlog-related narratives can reverse quickly if management reiterates AI demand and bookings remain intact.
• If the group stabilizes within 5-10 trading days, cover tactical shorts first in AMD and NVDA, since they are most likely to mean-revert on any sign that this was a sentiment shock rather than a demand inflection.