What to Expect from Two of the Biggest IPOs of 2026: OpenAI and Anthropic

Anthropic closed a $30bn Series G on Feb 12 at a $380bn post-money valuation, with a $14bn revenue run rate and targets of $18bn (2026), $55bn (2027) and $148bn (2029). OpenAI is reportedly preparing for a possible IPO as early as Q4 2026, but key financial metrics remain opaque and Microsoft holds a 27% diluted stake; governance issues and ongoing litigation (including disputes with Elon Musk) increase execution risk. If SpaceX, OpenAI and Anthropic list, PitchBook estimates they could create value exceeding all VC-backed IPOs since 2000, implying substantial market-wide liquidity and potential follow-on IPO activity, but investors must weigh high valuations against competition, regulatory scrutiny and heavy capital needs for AI infrastructure.

Analysis

The likely wave of mega‑IPOs (OpenAI/Anthropic/SpaceX) will reallocate value up the stack: cloud providers and chip suppliers win implicitly through sticky, high‑margin recurring infrastructure revenue while legacy media/consumer partners face fast decays in optionality when bespoke deals stall. A conservative sensitivity: if Anthropic hits its $55bn 2027 target and cloud take rates are 5–10%, that implies $2.7–5.5bn incremental annual revenue flowing to hyperscalers — enough to move AWS/GCP incremental FCF by mid‑single digits percentage points and justify a re‑rating for AMZN/GOOGL/MSFT over 12–24 months.

Key near‑term catalysts are binary and time‑staggered: S‑1 filings (OpenAI first; Anthropic later), lock‑up schedules, and SEC/antitrust reviews can create 30–60% intrayear volatility. Litigation (Musk vs OpenAI) and governance showstoppers can delay listings by 6–18 months; conversely, an unexpected S‑1 with clear revenue retention metrics would re‑rate partner equities quickly. Hardware supply dynamics are a multi‑year, non‑linear risk — constrained HBM/GPU supply or a pricing reset materially harms model economics and forces longer payback on capex for public AI platforms.

Consensus is overly focused on IPO proceeds as VC liquidity; it underestimates that proceeds will largely recapitalise infrastructure capex and fund M&A rather than return capital to VCs. A successful IPO therefore signals liquidity but not immediate distributed returns; a stall or messy filing would compress risk appetite across the next tranche of tech IPOs and re‑price private market expectations within weeks. For portfolio construction, treat these events as dispersion drivers — use pairs and volatility structures around S‑1s rather than outright directional leverage to the narrative.

Key Decisions for Investors

• Long AMZN (12–24 months): buy shares or Jan‑2028 LEAPS. Rationale: direct beneficiary of Anthropic cloud commitments; upside thesis = +25–40% if Anthropic scales to mid‑double‑digit revenue and AWS/GCP take rates are 5–10%. Downside = -20% if enterprise adoption stalls or regulatory limits Anthropic’s US federal contracts. Position size: tactical overweight (2–4% NAV).
• Long MSFT vs Short GOOGL pair (6–12 months): 60/40 notional tilt to MSFT. Rationale: Microsoft’s OpenAI stake and commercial integration provide optionality that should outperform Google if S‑1 disclosures reassure investors. Target outperformance = +15–30% relative; downside if Google wins enterprise footprint = relative underperformance of 10–15%. Use call spreads on MSFT and put spreads on GOOGL to control premium.
• Short DIS (3–6 months): buy 6‑month puts (OTM) or reduce gross exposure. Rationale: scrapped AI integration signals execution risk on premium content monetization and tech partnerships; asymmetric downside if Disney fails to lock AI content monetization deals. Risk = premium paid; reward = capture ~25–35% move on execution disappointment.
• Volatility play around OpenAI S‑1 (timeline: next 6–12 months): buy straddles on primary hyperscalers (MSFT, AMZN) sized small (0.5–1% NAV) to capture event volatility. Rationale: S‑1 transparency will either compress uncertainty (sell volatility) or spark runway revisions (buy volatility). Manage gamma risk: scale into moves and trim 50% on first 40% IV move.