Jay Yoon
Founder & Portfolio Manager of Summit Ridge Capital Management
The AI trade's biggest risk is not revenue concentration in Anthropic and OpenAI but whether scaling laws keep delivering better models that unlock valuable use cases. Steve Eisman, quoted by @firesidealpha, sees an OpenAI failure as the big risk, but that is like calling Amazon's dominance e-commerce's top risk 15 years ago. If Chinese labs or open models take share, they still need semis, and US enterprises' open models will mostly be hosted domestically by Amazon and others. x.comÂ
AI and semiconductor stocks offer extremely attractive short-term risk/reward because Astra appears to be a meaningful step-function improvement in AI performance while many of these stocks remain well off their recent highs. Lumentum, Nebius and Intel are among the names positioned for it. x.comÂ
Open models still need GPUs, memory, networking and power, so cheaper intelligence can bring more workloads to hyperscalers' paid infrastructure. Gavin Baker notes that OpenAI and Anthropic's revenue misses parts of the AI economy. BEP's OpenRouter chart shows rising token use for selected open models; AWS, Microsoft and Google Cloud are illustrative beneficiaries, not verified hosts of those volumes. x.comÂ
Semiconductor demand could withstand slower OpenAI and Anthropic growth if open-source models and post-training add more chip demand than it removes. Falling token prices need not erode per-GPU economics as cost per token falls and output per GPU rises, potentially keeping rental rates firm. The balance is unresolved; the lean is bullish, but markets may focus on the easier-to-see slowdown. Shares could chop until numbers defeat the bears, or a well-founded bear case could trigger heavy selling. … Show more
AI hyperscalers' heavy bond issuance can crowd out the corporate AI spending they depend on. After hyperscalers flooded the bond market all summer, a company rolling its Covid-era debt 5% higher has less left for an AI budget. And if every valuation and megatech management guide rests on commitments from Anthropic and OpenAI, they rest on unaudited financials never reported to the SEC. x.com x.comÂ
AI usage outstripping compute supply for the foreseeable future supports semiconductor demand despite cheaper tokens. Token prices fell about 90% in roughly three months, yet usage rose by more than that drop, so compute pricing keeps rising. AI revenue extends beyond LLM providers, including Meta, Google, Salesforce and ServiceNow. On- and off-balance-sheet debt is a risk; an AI bubble is likely eventually, but none is visible now. x.comÂ
Blocking model distillation will bring token growth back to OpenAI and Claude over the long term, making it very good for semiconductors. Anthropic says it turned away meaningful revenue and trillions of tokens' worth of paying traffic; that revenue shortfall should not obscure the longer-term benefit. x.comÂ
AI semiconductor hardware faces weaker demand than in an unconstrained AI race: mainstream existential safety fears make a lab that accelerates a regulatory target, so labs will train less than they otherwise would. Anthropic's essay makes no compute-binding commitment, but the lost demand falls on hardware suppliers while labs can sell inference. The near-term stock path depends on which market narrative takes hold, not a new change in fundamentals this weekend. x.comÂ
AI-exposed semiconductors face near-term demand risk as Anthropic's revenue growth slows. Monthly additions fell from $10B to ~$2-3B, though October may improve and one-off headwinds contributed. The AI selloff is not irrational amid rates, debt, politics and supply-chain risks. Despite long-term optimism, a short-term bull case needs an Anthropic IPO or OpenAI fundraise, calmer rates and debt funding, blowout cloud earnings with EPS upgrades, and new applications reviving token monetization. … Show more
AI compute demand makes CoreWeave and Nebius probably not bad tactical buys. Anthropic had been slowing but accelerated in September, OpenAI is taking share, and open-source models still need compute. Credit issues remain, though worries feel near a peak and the stocks feel near a local bottom. x.comÂ
Semiconductor stocks could take a short-term hit because the market's premise that frontier models will handle most valuable AI work is likely wrong, which might be a small shock. As models improve fast, frontier models will be too costly for most tasks, so AI labs' growth and margins slow and fundraising gets harder. Compute they reserved at hyperscalers and neoclouds could be released, slowing capex growth. Long term this is not bad for semis, but the market is unprepared for the gap. x.comÂ
Enterprise demand for sovereign AI favors Palantir's transformation model. In a two-pronged AI economy, businesses can retain their IP and use low-cost open models while frontier labs compete for the last increment of intelligence. x.comÂ
