Compute Is A Trillion-Dollar Market Trading In Group Chats | Brett Harrison & Andrawes Bahou
An approximately $1 trillion compute market still trades through calls, texts, Slack, and WhatsApp, while roughly 500 GPU-service providers and opaque brokerage chains create heterogeneous supply and “phantom power” without a standard forward curve.Architect is pursuing dated futures and options, with billing-system benchmarks, as CFTC reviews index reliability, but 20–25% financing costs expose unresolved credit risk.
AI token demand
Shanghao JintmomohKevin SunKKKLousrexsongDZ书米亚光环RouletteJLZyellowcraneEl jefe
金尚浩认为,企业上线AI前必须持续标注私有数据、评估并post-train,市场以coding场景封顶token需求,系统性低估了算力消耗。其重构45万—50万行交易级代码时日耗约2000—3000美元token,并行调用70—100个agent,意味着GPU、CPU、带宽与连接需求都可能随企业数据闭环加速释放。
AI spending can't grow forever with P Equity Research | EP 167
Logan JastremskiP Equity Research
AI infrastructure is constrained less by GPUs alone than by a shifting stack of memory, advanced packaging, power, construction, and networking, with memory potentially absorbing roughly half of hyperscaler capex through 2028.Long-term agreements and higher utilization may support a higher earnings floor, but cannot repeal cyclicality if ROI and free cash flow disappoint.Watch ABF, optics, and China’s potential 20-25% global memory share.
The Ezra Klein Show: Jensen Huang Thinks A.I. Alarmism Has Gone Too Far
Ezra KleinJensen HuangKevin RooseCasey Newton
Jensen Huang calls AI safety a solvable engineering problem: labs should not ship systems they cannot contain, with liability rules and third-party audits still relevant.He argues NVIDIA compute could become a fungible, durable asset class, with one-gigawatt factories and annual rents reaching $50B.Open models have flipped to seventy-thirty, while supply-demand inversion and an uncertain digestion period remain risks.
ELITE Strategist: How to position for the NEXT AI trade
Warren Pies has flipped back to overweight equities, targeting an S&P 500 at 8,000 within the next few months as he sees a 1997-style Fed pause.Semiconductors remain the trade’s critical signal, with nearly 20% of market cap and a 90% performance spread between semi-up and semi-down days.GPU scarcity, rising B200 rental rates, and optimistic lab ARR support the AI bull case, while a renewed hiking cycle, venture-funding shock, or bipartisan data-center backlash could break it.
The Bottleneck Isn’t the Chip with Bubble boi | EP 166
AI’s scaling bottleneck is shifting from transistor shrinkage to packaging, interconnect, and memory, as tens or hundreds of billions of dollars may buy only 15–20% better density.NVIDIA’s roadmap increasingly depends on suppliers and technologies it does not control, while rack-scale architectures, flash offload, and smarter caching could determine whether the same hardware serves two or three times more users.
Eclipse's Lior Susan on $12.5B AUM and the Bet on Physical Industries
Eclipse is targeting the physical economy—about 85% of global GDP, or $100 trillion—where deglobalization, supply-chain vulnerability, government support, and customer demand are reopening neglected opportunities.With about $12.5 billion in AUM, roughly 90 portfolio companies, and 30 it helped build, its operators-with-capital model links CapEx, manufacturing, policy, and systems execution, while its free-cash-flow focus and non-formulaic incubation leave execution, timing, and repeatability as key variables.
Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem
Gerstner argues the rally is earnings-driven, even as semiconductor concentration accounts for 70% of Nasdaq’s return.The AI buildout still depends on lab revenue scaling, while rates, power constraints, regulation and a delayed Anthropic IPO remain key risks.
David Hunter: The Fed Just Hiked Rates: Here's What You Need to Know | The Outlier Podcast
The 25bp hike was fully priced, but the hawkish presser briefly hit E-minis and small caps as oil topped $100 and diesel exceeded $6.Hunter sees a one-and-done move, rates near a three-year top, and December hike odds trending down.His melt-up targets are S&P 10,000, silver 200, and gold 7,000, with AI correction, oil, and midterms as risks.
AI 產業挖掘機:美股有望再創新高,日韓縮量難跟上
标普500成分股EPS约30%的增长支撑美股创新高,但日韩港股仍受成交量塌缩和资金通道关闭拖累。前沿模型凭借最佳模型与产品维持议价权,OpenAI关闭200美元套餐;推理margin约80%,开源部署强化云的经济性。FOMC落地后的反弹窗口或在九月下旬至十月,但Anthropic十月底IPO、通胀、欧债与AI capex争夺资金仍需监测。









