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Ether futures open interest on the CME reaches a record $10 billion. The surge in outstanding futures contracts signals heightened institutional participation in Ether trading on a regulated exchange. Rising open interest can reflect growing hedging and speculative activity from large traders, and may affect price discovery and liquidity in spot and derivatives markets. The milestone underscores increasing demand for Ether exposure among institutional investors using exchange-traded futures instruments.

DOGE faces selling pressure after a $200 million transfer by a whale to Binance caps its recent rally. The large on-chain movement to a centralized exchange raises the prospect of sizable sell orders entering the market, which can suppress upward momentum and increase volatility. Market participants often view exchange-bound transfers of significant token amounts as potential precursors to liquidation or distribution, and the transfer is immediately affecting sentiment around DOGE’s short-term price trajectory.

Nvidia tops analyst estimates on reported results but its stock falls in after-hours trading due to concerns over China export headwinds. Investors respond to geopolitical and regulatory risks tied to technology exports to China, which weigh on near-term revenue prospects despite the stronger-than-expected performance. The disconnect highlights market sensitivity to supply-chain constraints and policy risks that can offset positive earnings surprises for chipmakers central to AI compute demand.

A Philippine senator suggests putting the national budget on-chain, proposing the use of blockchain technology to record budgetary data. The proposal seeks to transfer budget information onto a distributed ledger, which would make line items and transactions digitally traceable on-chain. Implementing a budget on-chain would involve technical, legal and governance considerations around data integrity, public access, privacy and interoperability with existing fiscal systems.

The paper 'Canaries in the Coal Mine? Recent Employment Effects of AI' by Brynjolfsson, Chandar and Chen examines recent labor-market impacts of artificial intelligence. Hosted on Stanford’s Digital Economy site as a PDF, the study analyzes how AI adoption affects employment outcomes across occupations and industries, identifying early signals of labor demand shifts. The authors provide empirical analysis intended to quantify where AI is changing tasks, hiring patterns and job displacement risks in contemporary markets.