AI data centres proliferating across the PJM grid's 13-state region are driving sharp electricity cost increases for Rust Belt manufacturers. Capacity charges on the PJM grid surged over 1,000% — from $28.92 to $329.17 per megawatt-day — as data centres accounted for roughly 40% of a record $16.4 billion auction cost. Industrial electricity prices in Pennsylvania and Ohio rose 31% and 26% respectively, far outpacing the 7% national average. Manufacturers like Belden Brick saw monthly capacity charges jump from $1,600 to $12,000, while others are exploring on-site gas generation or off-peak production shifts. The grid cannot keep pace with data centre construction, and regulatory battles over who bears the cost are ongoing, creating political tension as the AI build-out conflicts with domestic manufacturing revival goals.
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June PMI data shows Asia's manufacturing sector expanding for the sixth or seventh consecutive month, driven largely by AI hardware demand — chips, servers, and data-centre equipment. China's high-tech PMI hit 53.5, Japan reached 54.8, and smaller economies like Malaysia, Vietnam, Taiwan, and the Philippines also posted growth. The AI build-out is acting as a buffer against geopolitical headwinds from the Iran conflict, which is raising energy costs and extending shipping times. Risks include concentration in a single demand cycle, rising input costs, and tightening US export controls reshaping supply chains — including a $13m chip seizure in Malaysia.
Panasonic plans to mass-produce data-centre battery cells at its Kansas plant by fiscal 2028, part of a 500 billion yen AI infrastructure investment. About 350 billion yen of that is directed to its Energy unit, which also supplies Tesla. The move targets a fast-growing market for grid-scale battery storage in AI data centres, where power demands are enormous and outage tolerance is near zero. Panasonic Energy's CEO framed a 950 billion yen sales target as a minimum, with ambitions exceeding 1 trillion yen. The company also plans a third plant in Mexico, giving it broad North American capacity. Chinese rivals like CATL are competing in the same space, making the energy layer of AI infrastructure as contested as the compute layer.
Berlin startup Almetra (formerly Deltia) has raised €16.3M in Series A funding to expand its AI-powered factory floor analytics platform. The company mounts cameras above assembly lines at manufacturers like Bosch, Siemens Energy, and ABB, converting video footage into live production data — cycle times, output rates, equipment utilisation — without requiring IT system integration. Customers report productivity gains of 15–19%. The round was led by blisce/, with participation from Merantix Capital and others. Almetra has been accepted into Google DeepMind's Robotics Accelerator and an AWS/Nvidia/MassRobotics Physical AI Fellowship, positioning it as a potential data source for industrial robotics. The company plans to use the funding to expand into the US and build out robotics applications.