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Premarket Alpha Post-Market Alpha

Daily Alpha · Reddit

Retail communities are debating the sustainability of AI software disruption and reacting to earnings beats in the infrastructure sector.

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GE Vernova reports Q2 earnings beat and raised guidance

GE Vernova reported Q2 EPS of $2.47 and revenue of $11.1B, exceeding consensus estimates. The company raised 2026 guidance, citing a $176B backlog and strong demand for electrification and gas turbines.

[+5] u/_hiddenscout: $GEV GE Vernova reports Q2 EPS $2.47 vs. $1.86 last year Reports Q2 revenue $11.1B, consensus $10.77B.

Validates the thesis that infrastructure and power-generation companies are capturing secular demand from AI-driven data center expansion.

Watch Track the company's ability to scale gas turbine production to the targeted 30 GW by 2030.

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Autodesk AI disruption thesis challenged

The author argues that AI disruption fears for Autodesk are misplaced because enterprise CAD workflows require deterministic, legally-signed calculations that AI cannot currently provide, and the company maintains high switching costs via its established ecosystem.

A generative AI model cannot legally sign off on the structural integrity of a bridge or a skyscraper.

Suggests current market pricing for software companies may be overly pessimistic regarding AI-driven obsolescence.

Watch Monitor for changes in enterprise software adoption rates or evidence of AI-native tools successfully replacing CAD workflows in regulated industries.

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Korean market margin-call cascade as a US risk indicator

The author posits that the recent margin-call event in Korea, where 3.4% of the adult population was affected, serves as a warning for the US market, which is currently at record leverage levels and highly concentrated in AI-related stocks.

3.4% of Koreans got margin called. Not 3.4% of brokerage accounts with margin. 3.4% of the adult population.

Highlights the potential for a feedback loop of forced selling if AI capex expectations are revised downward.

Watch Monitor US retail leverage metrics and market concentration in the top 10 AI-levered S&P 500 companies.

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