Neil Campling

"Demand remains way ahead of supply... Hyperscalers are investing billions, probably 600 billion plus this year." Despite high expectations requiring a "mic drop," the fundamental capex cycle from hyperscalers provides a floor for growth. The loosening of safety policies by AI firms (like Anthropic) to prioritize competitiveness signals accelerated hardware consumption. LONG (Fundamental demand remains unchecked). "Investors are very interested" implies crowded positioning; any miss on guidance could trigger a "sell the news" event.

AI chips (specifically Nvidia's Rubin) use 8-10x more memory than H100s. Hyperscaler capex is $600B, but memory supply is constrained. Spot prices are estimated to be up 60% QoQ. You cannot build a fabrication plant in 3 months. The supply-demand imbalance is structural and worsening. This grants immense pricing power to the memory oligopoly (Micron, SK Hynix, Samsung). South Korea (EWY) is the geographic proxy for this trade. LONG Memory Producers and Korean Equities. Global recession crushing demand for consumer electronics (phones/PCs) which these companies also rely on.

SK Hynix's ADR offering was massively oversubscribed, reflecting tremendous appetite for the deal. Index inclusion potential, passive fund involvement, and structural AI capex spending support demand. The stock is likely to attract leveraged ETFs and sustained interest, making it attractive.

ASML is a monopoly enabler for memory chips with diversified customer base (Intel, TSMC, memory companies) and has always remained cash-flow positive and gross-margin positive through cycles, unlike cyclical memory stocks such as SK Hynix which swung from negative gross margins in 2023 to projected 80% margins in 2025. ASML's equipment IP is decades ahead of any Chinese competition, making it a safer, more resilient play on the AI hardware buildout.

"I think at this point there are three or four platforms that had the scale that could be an alternative source... And, of course, the Pentagon has had some deep relationships with of the big tech companies for a number of years." Anthropic's ethical hesitation ("safeguards against basically mass surveillance") creates a friction point in securing government defense contracts. The Pentagon's demand for AI capability is urgent. If Anthropic stalls, the capital and contracts will flow to the "alternative sources" — the legacy Hyperscalers (Microsoft, Google, Amazon) who already possess the required scale and deep, existing security clearances/relationships with the DoD. LONG US Big Tech as the default beneficiary of defense AI spending when ethical pure-plays (like Anthropic) decline participation. Regulatory pressure on Big Tech regarding AI safety could increase; Anthropic might eventually concede to secure revenue.

Palantir's demand is 'otherworldly', with commercial acceleration driving a 12th consecutive quarter of accelerating revenue growth. The stock had fallen 40% from highs, and this print shows the threat from frontier AI displacing its tools is more than offset by demand, making it a compelling opportunity.

Apple is not investing hundreds of billions into the AI race, instead waiting to see which AI model wins and likely signing a deal later. This prudent strategy avoids capex overspend and positions Apple well.

Supply chain dominance for leading-edge chips remains with TSMC and Samsung; China is about five years behind and those companies continue advancing, making it hard for China to catch up even with alternative systems.

AMD beat expectations with 70% year-on-year server revenue growth and a $120 billion data center spending pipeline, justifying its high valuation.

"I think at this point there are three or four platforms that had the scale that could be an alternative source... And, of course, the Pentagon has had some deep relationships with of the big tech companies for a number of years." Anthropic's ethical hesitation ("safeguards against basically mass surveillance") creates a friction point in securing government defense contracts. The Pentagon's demand for AI capability is urgent. If Anthropic stalls, the capital and contracts will flow to the "alternative sources" — the legacy Hyperscalers (Microsoft, Google, Amazon) who already possess the required scale and deep, existing security clearances/relationships with the DoD. LONG US Big Tech as the default beneficiary of defense AI spending when ethical pure-plays (like Anthropic) decline participation. Regulatory pressure on Big Tech regarding AI safety could increase; Anthropic might eventually concede to secure revenue.

"I think at this point there are three or four platforms that had the scale that could be an alternative source... And, of course, the Pentagon has had some deep relationships with of the big tech companies for a number of years." Anthropic's ethical hesitation ("safeguards against basically mass surveillance") creates a friction point in securing government defense contracts. The Pentagon's demand for AI capability is urgent. If Anthropic stalls, the capital and contracts will flow to the "alternative sources" — the legacy Hyperscalers (Microsoft, Google, Amazon) who already possess the required scale and deep, existing security clearances/relationships with the DoD. LONG US Big Tech as the default beneficiary of defense AI spending when ethical pure-plays (like Anthropic) decline participation. Regulatory pressure on Big Tech regarding AI safety could increase; Anthropic might eventually concede to secure revenue.

AI chips (specifically Nvidia's Rubin) use 8-10x more memory than H100s. Hyperscaler capex is $600B, but memory supply is constrained. Spot prices are estimated to be up 60% QoQ. You cannot build a fabrication plant in 3 months. The supply-demand imbalance is structural and worsening. This grants immense pricing power to the memory oligopoly (Micron, SK Hynix, Samsung). South Korea (EWY) is the geographic proxy for this trade. LONG Memory Producers and Korean Equities. Global recession crushing demand for consumer electronics (phones/PCs) which these companies also rely on.

The federal judge's ruling to lift the ban on government use of Anthropic's technology is a major win for the AI industry and clears the path for Anthropic to pursue an IPO and sustain its rapid growth.

AI infrastructure spending is surging as hyperscaler capex flows through, evidenced by CoreWeave's strong bookings, revenue beat, and Super Micro's guidance 25% above expectations, confirming the AI capex trade.

China is advancing up the semiconductor technology curve despite IP restrictions, now potentially threatening chip equipment where ASML holds a monopoly in DUV and EUV lithography machines. This rising competition is a major concern for ASML.