According to @KobeissiLetter, the current macro setup features Fed rate cuts while Core PCE inflation runs at 2.9%+ for the first time in three decades, a rapidly deteriorating US labor market outlook, and deficit spending above $2 trillion per year (source: The Kobeissi Letter). The author states that jobs reports are suspended due to a government shutdown, creating a data gap as they expect two more Fed rate cuts in 2025 amid stagflation (source: The Kobeissi Letter). The author also highlights that the Magnificent Seven are spending over $100B per quarter on AI CapEx, underscoring a major corporate investment cycle to monitor (source: The Kobeissi Letter). The trading takeaway from the author is clear: own assets rather than hold cash, which digital-asset traders can map to positioning and volatility monitoring under a stagflation-plus-liquidity regime (source: The Kobeissi Letter).

According to @KobeissiLetter, OpenAI, Oracle, and SoftBank will build five new Stargate data centers, adding to an earlier Stargate project initially sized at over $100 billion (source: @KobeissiLetter). Together, the Stargate program is now guided toward roughly 7 gigawatts of capacity and more than $400 billion in total investment (source: @KobeissiLetter). OpenAI has also outlined a target of $500 billion in spending and 10 gigawatts of capacity by 2026 (source: @KobeissiLetter). Additionally, OpenAI announced a $100 billion chip supply deal with Nvidia to power Stargate, directly linking NVDA to the build-out pipeline (source: @KobeissiLetter). For traders, these figures underscore sustained demand for AI chips and hyperscale infrastructure with direct exposure to NVDA, ORCL, and SoftBank, while AI-driven CapEx remains a key macro narrative watched across both equities and crypto market sentiment (source: @KobeissiLetter).

According to @ReutersBiz, Nvidia announced a $100 billion investment in OpenAI, and Janet Mui of RBC Brewin Dolphin told Reuters this shows insatiable demand for computing power, source: Reuters Business. @ReutersBiz also reports Mui warned that profits from AI may be concentrated in a small number of companies, a concentration risk traders should factor into positioning and risk management, source: Reuters Business.

According to @business, Bloomberg Opinion columnist Matthew Yglesias argues many US CEOs remain indifferent to potentially damaging Trump-era economic policies because they expect AI to reshape firms so profoundly that policy risk matters less over the medium term. Source: Bloomberg Opinion via @business. For traders, this implies the AI trade could continue to dominate equity allocation and narrative momentum, supporting AI platform leaders and AI infrastructure suppliers despite policy noise. Source: Bloomberg Opinion via @business. This AI-first narrative can spill over to digital assets, where risk appetite tied to AI enthusiasm may bolster AI-linked crypto tokens and bellwethers such as BTC and ETH during risk-on sessions. Source: Bloomberg Opinion via @business. Key watch items include management AI capex guidance, enterprise AI deployment milestones, and policy headlines that may test this thesis, with positioning likely to pivot if execution or earnings disappoint. Source: Bloomberg Opinion via @business. Risk management takeaway for traders is to align entries with verifiable AI delivery metrics and avoid overexposure should AI adoption timelines extend or sentiment fade. Source: Bloomberg Opinion via @business.

According to @StockMKTNewz, Mark Zuckerberg said Meta ($META) is planning to invest a “significantly higher number” than $600 billion in the United States through the end of the decade; source: @StockMKTNewz on X, Sep 6, 2025. That magnitude implies an annualized run-rate well above $100B (> $600B over ~5 years) versus Meta’s previously guided 2024 capex of $35–40B focused on AI infrastructure, a setup that historically boosts demand expectations for AI chips (NVDA, AMD) and U.S. data center buildouts; source: Meta Platforms 2024 capex guidance in Q1–Q2 2024 earnings materials; NVIDIA FY2025 earnings call commentary on hyperscaler demand. In crypto, AI-linked tokens such as RNDR, FET, and AKT have historically rallied around major AI equity catalysts, so traders often monitor these pairs when hyperscaler capex headlines hit; source: Kaiko Research 2024 analyses on AI token performance around NVIDIA earnings; Binance Research 2024 AI sector reports.

According to Edward Dowd, the changing second derivative of AI capex spend mirrors historical patterns seen before the dotcom bubble burst in 2001, where a pause in telecom capital expenditure led to a downturn in telecom equipment stocks. This historical context suggests a potential impact on NVIDIA's stock, which is heavily tied to AI infrastructure. Dowd's analysis points to possible caution for traders considering NVIDIA, as similar patterns in expenditure shifts previously led to significant market corrections.