CNBC Daily Open: Hat trick of tech IPOs complete with OpenAI filing

OpenAI has confidentially filed for an IPO and said it expects the filing to leak, with the company valued at more than $850 billion and potentially targeting a public listing as soon as Q4 this year. The news reinforces a broader AI-led risk-on tone, alongside Anthropic and SpaceX preparing major market debuts and a rebound in tech stocks, with the S&P 500 up 0.3% and the Nasdaq up 0.86%. Broader macro headlines include China's exports rising 19.4% year over year versus 15% expected and renewed geopolitical developments in Iran and Israel.

Analysis

The real market signal is not the IPO itself but the normalization of private-to-public value transfer at the top of the AI stack. Once frontier-model firms have a credible path to liquidity, capital will likely migrate toward picks-and-shovels infrastructure with cleaner economics, which is where public-market multiples are still more defensible. That creates a second-order bid for compute, networking, power, and data-center capacity while compressing the premium investors are willing to pay for “AI narrative” software with weak monetization.

In the near term, the biggest winner is sentiment: mega-listings validate the AI capex cycle and can extend risk appetite for another 1–3 months, especially in semis and infra. The loser is late-stage private capital that depended on scarcity and optionality; if these assets become liquid, the private market discount rate rises and crossover investors will demand more discipline on growth, burn, and secondary pricing. That matters for firms with long-dated revenue realization, because public comparables will now anchor expectations much earlier.

The main contrarian risk is that public scrutiny exposes the gap between model leadership and earnings durability. If growth decelerates or IPO lock-up dynamics create forced supply, the “AI premium” can unwind quickly, particularly in names that have rerated on story rather than cash flow. Separately, geopolitical noise and strong export data are supporting cyclical risk, but that is more a backdrop than a durable catalyst; any shock that knocks confidence in rate cuts or earnings breadth would hit the most crowded AI trades first.

For ARES specifically, the signal is mixed: a hotter IPO calendar helps private-markets fundraising and realization optics, but it also raises the hurdle rate for new vintages and can slow deployment if public market volatility picks up. In a month’s time, the key tell will be whether capital flows into broader alternative managers or concentrates only in infrastructure/VC-adjacent winners; if it’s the latter, firms with diversified credit and secondaries platforms should outperform pure-growth private equity.

Key Decisions for Investors

• Long SMH vs short KWEB for 4-8 weeks: if the IPO wave reinforces AI capex, semis should capture the cleanest earnings translation while China internet remains more valuation-sensitive and less directly levered to the theme.
• Add ARES on weakness, 3-6 month horizon: benefit from stronger private-markets fundraising and monetization optics, but size modestly because a public-market wobble would delay exits and new commitments. Use a 7-10% downside stop.
• Long hyperscaler infra beneficiaries (ANET, VRT, VST) into the next 1-2 quarters: these names monetize the spend that frontier-model IPOs validate, with better cash conversion than software beneficiaries. Prefer call spreads to reduce premium decay.
• Fade crowded AI software beta via a basket short of high-multiple, low-FCF names over 1-3 months: if the market starts valuing frontier-model companies on public comps, narrative-only software should de-rate fastest. Hedge with a semis long to isolate dispersion.
• Hold optionality on NVDA through calls rather than stock: the IPO cycle extends the compute cycle, but lock-up/IPO volatility could create sharp factor rotations. Calls preserve upside while limiting drawdown if the trade turns into a broad de-risking event.