What are the two main barriers preventing battery storage firms from scaling quickly to meet AI data center demand?

The two main barriers are supply chain constraints and interconnection queues. As stated in the article, 'Supply chain constraints and interconnection queues are two of the most important barriers,' according to Harvest-Time Obadire, senior power and renewables analyst with BMI. The article further explains that while data centers can be built in 18 to 24 months, connecting to the grid can take three to seven years in parts of the U.S., and the supply chain for key battery materials remains heavily dependent on China, creating bottlenecks—especially as tax credit rules increasingly require non-China sourcing.

How are battery energy storage systems being used by AI data centers, and what benefits do they provide?

Battery energy storage systems are being deployed both 'in front of the meter' to smooth power demand and optimize transmission-line capacity, and 'behind the meter' to manage demand spikes, reduce power consumption during grid strain, cover temporary outages, and lower dependence on backup diesel generators. The article notes that batteries are 'an essential resource at data centers reliant on onsite gas generation, as gas generators are not fast enough to follow volatile AI data center demand,' per Ben Hertz-Shargel of Wood Mackenzie.

Battery Storage Firms Eye AI Demand But Face Grid, Supply Hurdles

May 18, 2026

U.S. battery storage firms face grid interconnection delays and China-dependent supply chains despite surging AI data center demand. Major players like Tesla and Fluence are expanding domestic manufacturing to meet projected capacity growth through 2030.

reuters

2026-05-18

Battery Storage Firms Eye AI Demand But Face Grid, Supply Hurdles

Battery Storage Firms Eye AI Demand But Face Grid, Supply Hurdles

FAQ