
Large-load tariffs and other measures to weed out speculative projects are taking shape amid public backlash to data centers and shifting state-level policies.
Utilities and regulators across the US are implementing new measures like large-load tariffs to filter out speculative data center projects that may never actually be built. Community opposition has become a major barrier to data center development, with over $170 billion in AI data center capacity blocked, withdrawn, or stalled since January 2024. This matters because the tech industry plans to spend roughly $581 billion on AI infrastructure construction in the US this year, and distinguishing between serious projects and speculative ones affects how utilities manage their power resources. Despite these challenges, market analysts expect the AI-driven data center construction boom to continue.

Under the One Big Beautiful Bill Act, data center projects in rural areas could be eligible for major tax benefits starting next year. Some hyperscalers do not seem eager to take the free cash.

The price of anything with memory is skyrocketing thanks to AI. Aging streaming devices are no exception.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The ti
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