A study highlights that electricity demand from AI data centers may increase US power costs by 6% to 29% nationally by 2030, with some regions seeing up to 57% rises. This surge in demand stresses the power grid, which relies heavily on copper—a metal facing a significant supply deficit due to mining disruptions and rising demand. Financial researcher Jim Rickards warns that the AI expansion may be limited by physical copper shortages rather than financial factors, urging investors to consider the supply chain of critical metals, not just AI companies. The situation underscores the broader impact on household electric bills and investment portfolios as the US grid requires massive copper resources to support AI infrastructure growth.
Veea Inc. has announced the commercial release of VeeaONE, a full-stack AI infrastructure platform that integrates edge-to-cloud hardware and software. The platform supports VeeaWare middleware on NVIDIA Jetson and x86/Arm servers, enabling secure, l...
Virtuals Protocol has introduced customizable tokenized indexes on the Robinhood Chain, allowing users to combine multiple assets into a single token. This innovation enables users to create and manage their own asset baskets and earn fees when other...
US spot Bitcoin ETFs saw net inflows of $107.8 million on Wednesday, while Ethereum ETFs attracted $53.8 million, signaling renewed institutional interest in crypto funds. Since their launch in January 2024, Bitcoin ETFs have accumulated over $51 bil...
Kaia has signed a strategic partnership with Xilo Labs to integrate Mochi, an onchain asset management platform, into Kaia's ecosystem. This collaboration allows users to invest stablecoins into diversified portfolios backed by tokenized real-world a...
Bitcoin's price surged to nearly $65,000 following softer-than-expected U.S. inflation data for June, easing fears of Federal Reserve rate hikes. However, on-chain data reveals two main groups of investors—long-term holders who bought near last year'...
