If Not Now, Then When Will These AI Companies Go Public?
If Not Now, Then When Will These AI Companies Go Public?
Podcast38 min 8 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights
  • Favor energy stocks such as CVX, XOM, or XLE as a potential hedge against persistent geopolitical risk, while recognizing that easing tensions could pull oil prices lower.
  • Treat the bank selloff as a possible opportunity in JPM, GS, WFC, C, BAC, and MS, but wait for upcoming earnings to confirm credit quality and consumer trends before adding.
  • Be cautious with AI infrastructure exposure, including ORCL, AVGO, CRWV, and MU; assess financing, debt, and durable customer demand before investing.
  • Avoid chasing AAPL on the iPhone-order rumor; monitor earnings and guidance, with a trend-line break potentially exposing downside toward $275.
Detailed Analysis

Apple (AAPL)

  • A report from Nikkei said Apple had cut component orders for the iPhone 18 and 18 Pro by 15%–20%. The hosts noted that similar pre-launch rumors have appeared before, so the report was not treated as conclusive.
  • Apple has shown relative strength and avoids the enormous data-center spending commitments of some other major technology companies. But the hosts questioned whether expectations for its AI features will translate into stronger results.
  • One host said the stock was not especially attractive to add to at this point. If its rising trend line breaks, he said it could fall back toward $275, a prior low discussed on the show. That was presented as a downside scenario, not a price target.
  • They also expressed skepticism about the near-term prospects for Apple’s rumored foldable device.

Takeaways

  • Watch Apple’s upcoming earnings and guidance for evidence that iPhone demand and AI features are supporting growth.
  • Treat the reported order cuts cautiously, but note that the hosts did not see the headline as a reason to buy the stock.

OpenAI (Private company)

  • The hosts discussed reports that OpenAI’s expected revenue figure had shifted from $70 billion to $50 billion. OpenAI reportedly clarified that the figures involved annualized revenue rates and how revenue from customers was being counted.
  • They questioned the clarity of the company’s financial reporting, particularly given its scale, losses, and central role in the AI boom.
  • OpenAI is reportedly preparing for a possible IPO in the first half of next year, potentially in Q1 or Q2. The hosts asked why an AI company would delay going public while market appetite for AI-related investments is strong.
  • Microsoft has invested in OpenAI, and the company is also linked to major financing plans involving AI infrastructure and custom chips.

Takeaways

  • Any IPO prospectus or updated financial disclosures would be important for assessing OpenAI’s revenue, cash needs, and business model.
  • The discussion highlighted uncertainty around revenue measurement and the company’s ability to fund its ambitions—not a specific IPO recommendation.

AI infrastructure and semiconductor companies

  • Oracle (ORCL) and Broadcom (AVGO) were reportedly seeking to raise $50 billion from Apollo and Blackstone to help OpenAI develop custom chips.
  • CoreWeave (CRWV) fell sharply after the OpenAI revenue news and had recovered less than Oracle by the time of the recording.
  • Nscale, a private “neo-cloud” company in which Nvidia (NVDA) is an investor, pulled its planned IPO. The hosts noted that Nscale does more than rent out GPUs.
  • The hosts said that a large share of expected earnings growth in the AI buildout was concentrated in Nvidia and Micron (MU). They also pointed to heavy spending commitments by major technology companies to build data centers.
  • The discussion raised concerns about the debt being accumulated to finance data centers and GPU purchases, and whether future demand will justify that spending.

Takeaways

  • For AI infrastructure investments, track not just demand forecasts but also financing, debt levels, and whether spending produces sustainable revenue.
  • The hosts’ comments suggest that an IPO delay or weaker OpenAI financial outlook could weigh on companies tied to the AI buildout.

Private-credit and alternative-asset managers

  • Blackstone (BX), Apollo (APO), and Blue Owl (OWL) were discussed as firms involved in financing AI-related infrastructure and equipment.
  • The hosts said these firms had rebounded substantially from spring lows, in some cases by 50%–75% or more, but had since given back much of those gains.
  • Apollo and Blackstone were named as potential sources of the $50 billion sought by Oracle and Broadcom for OpenAI-related custom-chip plans.
  • The hosts warned that loans backed by GPUs and data-center assets could face pressure if demand disappoints or the financing burden grows too large.

Takeaways

  • These firms may benefit from financing demand for AI infrastructure, but the discussion emphasized exposure to debt, collateral values, and the eventual returns on data-center spending.
  • Monitor both AI-related lending activity and signs that borrowers can support their financing commitments.

SpaceX (Private company)

  • SpaceX was reported to be raising $40 billion. The hosts included it among a broader set of large financing needs tied to technology and infrastructure.

Takeaways

  • The transcript provided no valuation, terms, or recommendation for investing in SpaceX. The actionable point is to assess the purpose and terms of any financing before drawing conclusions from the fundraising amount alone.

Energy stocks and crude oil

  • Crude oil was around $91 during the discussion, and the hosts described energy prices as “sticky” amid uncertainty in the Middle East.
  • They cited Valero (VLO), Marathon Petroleum (MPC), Phillips 66 (PSX), Chevron (CVX), and Exxon Mobil (XOM) as strong performers; Chevron, Exxon, and the Energy Select Sector SPDR Fund (XLE) were near all-time highs.
  • One host noted that energy represents less than 4% of the S&P 500 and asked whether its share of the index could potentially double. This was posed as a possibility, not a forecast.
  • The hosts said continued geopolitical uncertainty could keep a premium in oil prices. They also noted that a reduction in conflict could initially push crude lower.

Takeaways

  • The discussion was constructive on energy stocks as a possible beneficiary of geopolitical risk and shifting market allocations, but oil prices could move lower if tensions ease.
  • Consider the difference between energy companies’ stock performance and the underlying oil-price outlook; the transcript did not give a specific price target.

U.S. Treasuries and interest rates

  • The 10-year Treasury yield was around 5.24%, after reaching roughly 5.33%. The hosts said yields had risen about 60 basis points since Treasury Secretary Scott Bessent challenged the market.
  • They expressed concern that high yields could keep pressure on borrowing costs and mortgages. A possible bond-market rally could follow an end to the conflict and lower oil prices, or a sharp market downturn that leads investors to seek perceived safety.
  • The hosts questioned whether U.S. Treasuries would still attract buyers amid concerns about debt and deficits.
  • They also discussed market-implied odds of a rate hike at the October 28 Fed meeting: the probability had reportedly been as high as 70%, but had fallen to around 25%.

Takeaways

  • The hosts’ main message was that bond yields may respond to debt concerns, geopolitics, and market stress—not just inflation data or Fed expectations.
  • Investors following bonds should watch how yields react to upcoming inflation releases and changes in oil prices; the transcript did not include a specific Treasury recommendation.

Bank stocks and BlackRock

  • The banks scheduled to report included JPMorgan Chase (JPM), Goldman Sachs (GS), Wells Fargo (WFC), Citigroup (C), Bank of America (BAC), and Morgan Stanley (MS). BlackRock (BLK) was also due to report.
  • The hosts said bank stocks had sold off roughly 10% in many cases after topping out over the summer. JPMorgan had fallen from a high of about $366.50 to around $330.
  • They described the post-selloff setup as potentially attractive, but warned that investors could be disappointed by company commentary. They highlighted consumer delinquencies and the possibility that higher yields could contribute to a credit event.
  • A report discussed on the show said AI agents could cost banks $500 billion by helping savers find better rates. The hosts noted the counterpoint that banks could also gain from AI-driven cost savings.

Takeaways

  • The hosts viewed earnings commentary—not just the selloff—as the key signal for bank stocks, particularly commentary on credit quality, consumers, and AI.
  • Watch for evidence that potential AI efficiencies can offset competitive pressure and any deterioration in consumer credit.
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Episode Description
Dan Nathan and Guy Adami reunite to preview the week, focusing on two late-week tech stories: a Nikkei report that Apple may have cut iPhone 18/18 Pro component orders, and market volatility sparked by questions around OpenAI’s revenue figures, including debate over annual run-rate calculations and implications for AI-linked stocks and “NeoCloud” customers. They discuss a macro backdrop of a 10-year yield around 5.24%, a firm dollar, subdued VIX, and sticky crude near $91 amid heightened Middle East tensions and election-related timing concerns. The pair critique Treasury Secretary Scott Bessent’s approach as yields rise despite policy aims, and debate what could bring rates down. They also discuss AI build-out financing, pulled IPOs, and upcoming CPI/PPI plus major bank earnings, emphasizing guidance, consumer delinquencies, and potential volatility into the midterms. Show Notes Inside Bessent’s Treasury: Tension, Turnover and Unmet Economic Goals (WSJ) Bessent rips Wall Street Journal after report on ‘tension, turnover’ (The Hill) Exclusive: Apple cuts iPhone 18 Pro orders due to soft demand (Nikkei) OpenAI annualised revenues $20bn less than previously signalled (FT) AI agents could cost banks $500bn — by winning savers better rates (FT) —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.
About RiskReversal Pod
RiskReversal Pod

RiskReversal Pod

By RiskReversal Media

Welcome to the RiskReversal Pod, where Dan Nathan and Guy Adami are joined by the most brilliant minds in markets and tech.  We break down the most important market moving headlines to help listeners make better informed investing decisions. Our goal is to deconstruct Wall Street speak and offer contrarian insights and strategies that help investors navigate increasingly volatile markets. Tune into the RiskReversal Pod Monday through Friday for succinct 30 minute pod drops of market analysis that you won't find anywhere else. For new episodes of On The Tape with Danny Moses, search "On The Tape" in your favorite podcast platform. — FOLLOW US YouTube: @RiskReversalMedia Instagram: @riskreversalmedia Twitter: @RiskReversal LinkedIn: RiskReversal Media