AI infrastructure faces four hurdles: Power, construction, technology, funding

DIGITIMESOctober 20, 2026en

At last week's SEMICON West 2026 industry outlook forum, research firms said investment in US AI data centers continues to accelerate, but the industry still faces multiple hurdles before it can turn demand into operational computing capacity. Constraints now extend beyond chips to power and the grid, construction speed, immature technologies, and funding pressure behind capital spending, all of which could slow expansion.

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