OpenAI Stock vs. Anthropic Stock: Which Nvidia-Backed AI Start-up Would Be the Best IPO Stock to Buy in 2026?

OpenAI generated roughly $13 billion of revenue in 2025 and is reported to be seeking financing that would value it at about $750 billion (implying a price-to-sales of ~58) with management projecting $100 billion of revenue by 2028 and no profit or positive free cash flow expected until 2030. Anthropic posted about $4.5 billion of revenue in 2025, is targeting a $350 billion valuation (P/S ~78), expects positive free cash flow in 2027 and profitability in 2028, and has secured large cloud capacity commitments with Microsoft/Azure; both firms have close commercial ties to Nvidia. Nvidia, which supplies >80% of AI accelerator sales and integrates GPUs with data-center systems, has committed large investments to both start-ups (reported $100 billion toward OpenAI and $10 billion toward Anthropic), making NVDA an indirect way to gain exposure ahead of potential IPOs despite the very rich private valuations.

Analysis

Market structure: Winners are NVDA (NVDA) and cloud providers (MSFT/Azure) because multi‑GW commitments (OpenAI 10GW, Anthropic up to 1GW + $30B Azure buy) lock in years of high GPU demand and pricing power for Nvidia’s H100/H200 family. Losers include incumbent CPU-centric AI plays and smaller AI SaaS firms that can’t afford sustained compute — expect premium to flow to infrastructure suppliers and hyperscalers. This demand shock tightens semiconductor supply chains (TSMC capacity), raises enterprise capex, and supports higher electricity/energy consumption in regional grids near data centers.

Risk assessment: Tail risks include regulatory intervention on model/data use or Nvidia’s strategic investments (conflict of interest/antitrust), major GPU yield setbacks at fabs, or IPOs (OpenAI/Anthropic) sharply repricing expectations; any of these could drive 30–60% downside in AI growth names in 3–12 months. Immediate (days) moves will be driven by headlines/IPOs; short term (weeks–months) by compute deployment updates and quarterly results; long term (2027–2028) by whether startups hit projected revenue targets (OpenAI $100B by 2028 vs $13B in 2025 implies ~100% CAGR).

Trade implications: Tactical: establish a 2–3% long position in NVDA within 1–3 months to capture persistent infrastructure capture, layering 25% now and 25% on any >10% pullback; hedge with 3–6 month 5–10% OTM puts sized to cover 1–2% portfolio risk. Pair trade: long MSFT (1–2%) vs short PLTR (1–2%) to express cloud capture vs high multiple AI software mean reversion. Use 6–12 month bull call spreads on NVDA to limit capital outlay and buy 3–6 month strangles around expected IPO windows if you expect headline volatility.

Contrarian angles: Consensus underestimates mean‑reversion risk of sky‑high IPO multiples (OpenAI P/S 58, Anthropic 78) — public markets may demand growth proof and punish 2025-based pricing; owning NVDA/MSFT (24.6x sales for NVDA) is a cheaper, higher-quality lever to AI adoption. Historical parallel: 1999–2001 internet hardware providers outperformed many frothy app IPOs when ad/revenue models failed; watch Nvidia’s equity stakes and S‑1 filings (OpenAI/Anthropic) as the first asymmetric catalysts that could flip sentiment.

Key Decisions for Investors

• Establish a 2–3% core long position in NVDA over the next 30–90 days (scale: 25% now, +25% on >10% pullback). Hedge with 3–6 month puts 5–10% OTM sized to cover 1–2% portfolio risk; target 12‑month upside 20–40%, stop‑loss 12%.
• Initiate a 1–2% long position in MSFT (play on Anthropic/Azure capacity) and a 1–2% short position in PLTR as a relative value pair (long cloud infra vs high‑multiple AI software). Rebalance after quarterly cloud revenue prints for the next 2 quarters.
• Deploy options: buy 6–12 month NVDA call spreads (debit spreads) to participate in upside with defined risk; concurrently buy 3–6 month straddles/strangles around anticipated OpenAI/Anthropic S‑1/IPO windows to monetize event volatility. Close options positions within 2 weeks post‑IPO or on 30% premium move.
• Avoid participating in OpenAI/Anthropic IPO allocations unless S‑1 shows 2026–2028 revenue/backlog supporting <10x forward P/S; if IPO priced at >30x forward P/S, treat as shorting candidate via put purchases or short ETF exposure to speculative AI basket.
• Monitor within 30–90 days: (1) S‑1 filings and revenue recognition assumptions for OpenAI/Anthropic, (2) NVDA supply signals from TSMC lead times and H100 shipments, and (3) regulatory actions (EU/US AI model guidance). Use any 20–40% post‑IPO selloffs as tactical long entry into high‑quality infra names.