According to Greg Brockman, building pretraining infrastructure spans complexity management, abstraction design, operability/observability, and deep systems plus ML expertise, underscoring the operational intensity of large-scale model training (Source: Greg Brockman on X, Sep 7, 2025). For traders, this reinforces that AI training remains compute- and tooling-heavy, consistent with elevated GPU demand and hyperscaler capex reported in 2024 that have influenced AI-exposed equities such as GPU suppliers and cloud providers (Sources: NVIDIA Q2 FY2025 earnings release, Aug 28, 2024; Microsoft FY2024 Q4 earnings call, Jul 2024; Amazon Q2 2024 results, Aug 2024). The post adds no new product, spend, or timeline disclosures and includes no crypto references, suggesting limited immediate price impact absent follow-up announcements (Source: Greg Brockman on X, Sep 7, 2025).

According to @StockMKTNewz citing Semianalysis, Amazon Web Services (AMZN) has well over a gigawatt of data center capacity in the final stages of construction for anchor customer Anthropic AI, indicating a large-scale AI workload footprint on AWS, source: @StockMKTNewz. According to @StockMKTNewz, AWS is building data centers faster than it ever has and there is more capacity on the horizon, source: @StockMKTNewz. According to @StockMKTNewz, the update explicitly links the expansion to Anthropic AI and does not mention any cryptocurrencies or digital assets, source: @StockMKTNewz.