• Micron (MU) was the clearest high-conviction idea: consider it for AI-memory exposure, supported by low valuation, strong free cash flow, and potentially durable demand.
• NVIDIA (NVDA) remains a quality long-term AI holding, but temper expectations for outsized near-term gains as the buildout matures.
• Approach AI infrastructure selectively: monitor GPU rental prices and hyperscalers’ free cash flow, especially whether monetization improves by 2028.
• Treat oil as a geopolitical risk indicator, not a confirmed buy; escalation toward $140–$150 could pressure stocks and raise inflation concerns.

Oil

• Oil rose to about $103.80, with the discussion attributing the spike to reports of possible further U.S. military action against Iran. The speaker emphasized that an attack was not confirmed.
• The guest said a further escalation and a rise in oil toward $140–$150 could weigh on stocks, raise inflation concerns, and increase expectations for rate hikes.

Takeaways

• Oil was presented as a geopolitical-risk trade, not as a specific buy recommendation. The key variable discussed was whether tensions escalate or move toward a negotiated resolution.

AI and Data-Center Infrastructure

• The speakers saw continued strong demand for AI infrastructure, but advised caution about the scale of hyperscaler capital spending and uncertainty over when that investment will generate returns.
• One guest said GPU rental prices were rising, which he viewed as evidence that demand had not yet slowed. He also warned that evidence of falling rental prices would be a reason to reassess the AI trade.
• They discussed the possibility that the current buildout is becoming more mature, with less potential for the very large gains seen earlier in the cycle.
• The guest suggested that hyperscalers could face pressure on free cash flow and stock valuations while spending heavily. He said free cash flow could improve in 2028 if data centers are monetized as expected; continued spending into 2028 without improving cash flow could hurt valuations.
• Open-weight AI models were discussed as a potential source of competitive pressure for AI companies and a cybersecurity risk. The guest also raised the possibility of regulation limiting access to some open-source models.

Takeaways

• The discussion supported staying alert to AI demand and monetization data rather than assuming that large capital budgets automatically translate into shareholder returns.
• The guest viewed AI infrastructure as a longer-term opportunity, but acknowledged meaningful risks around spending, financing, regulation, and returns on investment.

Amazon (AMZN)

• Amazon CEO Andy Jassy said the company expects to spend about $220 billion on capital expenditures in 2026 and is still leaving customer demand unmet.
• The guest explained that data centers require investment well ahead of when they can be monetized, while servers and networking equipment can be purchased closer to expected demand.
• The discussion highlighted near-term free-cash-flow pressure from the buildout, with the possibility of improved cash flow later if the capacity is put to work.

Takeaways

• Amazon’s investment case, as discussed, depends on whether its large infrastructure spending produces enough customer revenue to justify the near-term cash-flow burden.

Alphabet / Google (GOOGL)

• The guest said Google’s shares could remain under pressure as investors question when AI-related capital spending will pay off. He cited a past view that the shares could retrace to roughly $350 or $325 from above $400; these were discussed as possible retracement levels, not current price targets.
• He also raised concerns about slower search growth from AI competition and fewer share buybacks as spending increases.
• Some recent earnings growth was attributed to gains on investments in companies including SpaceX and Anthropic, which the guest said could make year-over-year earnings comparisons more difficult.
• At the same time, he said Google is broader than search and that long-term investors who do not intend to sell could continue to hold it.

Takeaways

• The discussion was cautious on near-term performance, not on Google’s underlying business quality. Investors may want to watch capital-spending returns, search growth, and the contribution from investment gains.

Microsoft (MSFT)

• Microsoft was included among the large technology companies facing scrutiny over AI capital spending and the timing of returns.
• The guest said hyperscaler stocks could underperform if spending continues without a clear improvement in free cash flow.

Takeaways

• The discussion offered no company-specific forecast or recommendation. The key issue raised was whether AI spending will produce measurable returns.

Meta Platforms (META)

• Meta was cited as an example of a hyperscaler whose spending and potential share issuance could weigh on its stock.
• The guest criticized the prospect of a new share class with limited voting power, saying that it did not inspire confidence and could add to dilution concerns.
• The speakers also noted that Meta’s share price had fallen amid questions about the cost of reaching its AI ambitions.

Takeaways

• The discussion highlighted dilution and cash-flow concerns as risks to Meta’s investment case, despite the potential long-term opportunity in AI.

NVIDIA (NVDA)

• The guest described NVIDIA as a strong company and said it could suit investors seeking a high-quality business, while cautioning against expecting enormous short-term gains from here.
• He said GPUs have an advantage over custom chips because they are more versatile and may be easier to finance or repurpose.

Takeaways

• The guest’s view was positive on NVIDIA as a durable AI-related business, but tempered by the view that the AI buildout is at a more mature stage and outsized near-term returns may be harder to achieve.

Micron Technology (MU)

• The guest was bullish on Micron, describing it as a relatively inexpensive way to participate in AI-related memory demand.
• He cited a single-digit forward price-to-earnings multiple, strong free cash flow, and the potential for significant share buybacks.
• He also said the memory demand cycle may last longer than previously expected, with longer-term supply contracts improving earnings visibility.

Takeaways

• The discussion was favorable toward Micron, particularly because of its valuation, cash generation, and memory-demand outlook. Those views depend on the demand cycle remaining strong.

Broadcom (AVGO)

• The guest was positive on Broadcom, pointing to expected contributions from custom chips and AI infrastructure deployments for companies including Google, Meta, OpenAI, and Anthropic.
• He said custom chips may offer lower total costs than GPUs, especially for inference workloads, and cited Broadcom’s claim that newer chips could deliver Blackwell-level performance with a 50% reduction in cost.
• He also noted a financing risk: custom chips are less versatile than GPUs, which could make them harder to finance if a customer or project fails.

Takeaways

• The guest saw potential upside in Broadcom as custom-chip deployments scale, while emphasizing that financing and customer-concentration risks matter.

CoreWeave (CRWV)

• The conversation was notably cautious about CoreWeave’s debt, rising borrowing costs, and the possibility that some early customer contracts were not economical.
• The guest said equity holders could fare poorly even if the company avoids bankruptcy, particularly if debt remains high and earnings growth is not enough to outpace it.
• He argued that issuing more convertible debt could increase short-selling pressure and create future dilution or repayment obligations.
• As a hypothetical, he said he would consider a CoreWeave bond yielding 12% attractive. This was his personal view, not a reported bond offering or formal recommendation.

Takeaways

• The discussion emphasized substantial financing and dilution risks. CoreWeave’s assets and business prospects do not eliminate the risk that debt holders and equity holders experience very different outcomes.

Nebius (NBIS)

• The guest said Nebius was the only “neocloud” company he would be bullish on, citing what he viewed as stronger financial positioning and an ambitious, experienced management team.
• He contrasted Nebius’s leadership favorably with some competing providers, though the comparison was based partly on his assessment of management rather than financial metrics alone.

Takeaways

• Nebius was the guest’s preferred name in the neocloud group, but the discussion did not provide a valuation, price target, or detailed financial analysis.

SoFi Technologies (SOFI)

• The guest disclosed an options position: a $15 call paired with a short $25 call, expiring in 2029, purchased for roughly $1.90–$1.95.
• He said SoFi’s tangible book value had grown to roughly $7–$8 per share, helped by share issuance, and argued that future earnings could add to that value.
• He considered a move to $25 over the next few years plausible, while acknowledging potential short-term pressure from higher interest rates and credit-market conditions.
• He said he regarded a bank-like valuation of roughly 15–17 times earnings as more reasonable than valuing SoFi like a high-growth technology company.

Takeaways

• The guest’s bullish position relies on SoFi continuing to grow its earnings and book value. The options structure limits the position’s upside above $25, and the discussion identified rates and credit conditions as possible sources of pressure.

Cybersecurity

• The guest said AI is making it easier to find and exploit software vulnerabilities, raising the priority of cybersecurity spending—especially in regulated industries such as banking and health care.
• He described cybersecurity as an area with strong recent performance and said businesses may prioritize protecting customer data over more discretionary productivity spending.
• He mentioned the possibility of increased regulation around open-weight AI models, which could affect the competitive landscape.

Takeaways

• The discussion presented cybersecurity as a potentially durable spending theme, while noting that investors still need to consider valuation and the risk of regulation reshaping the market.

CrowdStrike (CRWD)

• CrowdStrike came up as an example of a cybersecurity stock that might benefit from rising security needs, but the guest questioned whether its valuation would make it difficult for investors to buy comfortably.
• No specific price target or entry point was provided.

Takeaways

• The guest was positive on the cybersecurity theme but did not make a clear buy recommendation on CrowdStrike at its valuation.

SaaS and Software Companies

• The guest said the idea that AI will simply eliminate software companies was losing traction. He pointed to software companies with strong cash flow and share buybacks as possible opportunities after being sold off.
• He specifically mentioned Adobe, Intuit, ServiceNow, and Veeva Systems as examples, and said the software sector had outperformed the S&P 500 for the year, depending on the starting point.
• Accenture was also discussed as a company that could benefit from helping businesses implement AI, despite earlier concerns that AI would reduce demand for consulting.

Takeaways

• The discussion suggested looking selectively at software companies with resilient cash flows and a clear role in implementing or supporting AI, rather than assuming the whole sector will be either disrupted or protected.

Adobe (ADBE)

• Adobe was described as a cash-generative software company that had been heavily sold off. The guest said investors should consider whether it can remain resilient against AI competition.
• No price target was stated.

Takeaways

• The discussion presented Adobe as a possible value-oriented software name, but its prospects depend on its ability to defend its business as AI tools improve.

Intuit (INTU)

• Intuit was described as a cash-generative software company recovering from a selloff, with share buybacks supporting shareholder returns.

Takeaways

• The guest’s positive case rested on cash generation and the view that AI would not automatically displace established software providers.

ServiceNow (NOW)

• ServiceNow was cited as a software stock that had performed well for the guest and as an example of the sector’s recovery.

Takeaways

• The mention was favorable, but no specific valuation or recommendation was provided.

Veeva Systems (VEEV)

• Veeva was described as specialized health-care software, comparable to a customer-relationship-management platform focused on the health-care industry.
• The guest included it among software names with potential amid the fading “AI will kill SaaS” narrative.

Takeaways

• The discussion pointed to Veeva as a specialized software business, but did not provide a company-specific valuation or target.

Accenture (ACN)

• Accenture was discussed as a potential beneficiary of companies needing help implementing AI. The guest noted that its shares had recovered after earlier fears that AI would reduce demand for consulting.

Takeaways

• The discussion suggested that AI adoption could create implementation work for consulting firms, though no specific recommendation or target was given.

Bloom Energy (BE)

• Bloom’s earnings were described as relatively strong, yet the stock fell about 11% on the day.
• The speakers treated the reaction as an example of how positive operating results may not be enough to satisfy the market.

Takeaways

• The discussion offered no buy-or-sell view. It underscored that investor expectations and valuation can matter as much as reported results.

FICO (FICO)

• FICO fell about 8% after hours. The guest said the company’s repeated price increases could invite competition.
• He also noted that the stock had risen substantially from its lows, but no specific reason for the after-hours move was established in the discussion.

Takeaways

• The guest identified pricing power as a potential risk if high prices encourage customers or competitors to seek alternatives.

Instacart (CART)

• Instacart rose about 9% amid reports that it could be sold to Uber, DoorDash, or Lyft. The discussion did not confirm a transaction.

Takeaways

• The share move was tied to deal speculation, making the opportunity dependent on uncertain news rather than a confirmed acquisition.

SpaceX (Private)

• SpaceX was discussed as a potential entrant in cellular service through satellite-to-phone connectivity.
• The guest also noted that Google’s reported investment gains on its SpaceX position had contributed to Google’s earnings.

Takeaways

• SpaceX was presented as a possible competitive force in telecommunications, but it is privately held and the discussion did not provide an investable public-market recommendation.

Telecom Tower Companies: Crown Castle (CCI), American Tower (AMT), and SBA Communications (SBAC)

• The guest said these tower owners could benefit if SpaceX becomes another customer leasing space and equipment on existing towers.
• He described the companies’ existing tower networks and leases as a potential advantage.
• He also noted that the stocks had faced pressure from higher interest rates, given their capital-intensive businesses, and that SpaceX-related competition could weigh on the valuations of traditional carriers.

Takeaways

• The proposed opportunity was that satellite-to-phone expansion could create another source of tower revenue. The guest cautioned that higher interest rates and competitive uncertainty remain relevant risks.

AST SpaceMobile (ASTS)

• The guest said SpaceX demonstrating that direct-to-cell service can work could validate the broader business model and potentially benefit AST SpaceMobile.
• He noted that AST SpaceMobile has international partnerships, and said some U.S. carriers have equity investments in the company.
• He also acknowledged that SpaceX could create competitive pressure and that the benefit to AST SpaceMobile was not guaranteed.

Takeaways

• The discussion was cautiously constructive: SpaceX’s entry could validate the market, but it could also intensify competition.

Verizon (VZ) and Other Traditional Carriers

• Verizon was down about 1.3% in the market recap. The guest said traditional carriers could face a narrative headwind as investors focus on SpaceX’s potential entry into cellular service.
• He also described carriers as possible defensive investments if the broader market weakens, and said lower interest rates could help their capital-intensive businesses and dividend appeal.

Takeaways

• The discussion presented a mixed outlook: carriers may offer defensive characteristics, but investors may also discount them because of potential satellite-based competition.

AMD (AMD)

• AMD was up about 1.7% in the market recap, but the discussion did not provide a company-specific investment thesis.

Takeaways

• No actionable view on AMD was stated in the discussion.

Netflix (NFLX)

• Netflix was down about 2% in the market recap. No company-specific explanation or investment view was given.

Takeaways

• The move was reported as part of the day’s market action, not as a specific investment signal.

Western Digital (WDC)

• Western Digital fell about 3% despite recent earnings, while Micron rose. The speakers noted that memory-related stocks did not move uniformly.

Takeaways

• The discussion offered no company-specific recommendation; the differing share moves show that investors may distinguish among companies even when they share a broad theme.

AppLovin (APP)

• AppLovin rose about 1.5% in the market recap, but no specific news or investment thesis was discussed.

Takeaways

• No actionable view was stated.

Broad Market: SPY and the VIX

• SPY was reported at 759.96, down about 0.5%. The VIX closed up about 3.8%, after retreating from a higher level earlier in the day.
• The speakers linked the weak market tone mainly to oil prices, geopolitical uncertainty, and concerns over AI spending and returns.
• An 8,000 year-end S&P 500 level was raised as a question, but the guest did not endorse it; he said the outlook depended in part on whether tensions with Iran escalated or eased.

Takeaways

• The discussion pointed to oil, geopolitics, and evidence of AI monetization as important market-wide variables. No firm index target was offered.