AI data center demand runs around the clock, straining U.S. power grids and accelerating utility infrastructure spending that makes high-yield stocks increasingly attractive.
BIP yields 4.88% and carries Morgan Stanley's Overweight rating, while AVA pays a 4.83% dividend as an under-the-radar income pick.
Edison International (EIX) pays a 4.61% dividend with Barclays' Overweight rating and a $77 price target, making it a strong pick through 2026.
Act now: the ***** yst who called NVIDIA in 2010 just named his top 10 AI stocks — and Edison International didn't make the cut. Grab the names FREE today.
Data center electricity demand has surged over the last few years as AI workloads have scaled up, becoming one of the biggest tailwinds for the U.S. utility sector. Training and running large AI models require massive, continuous computing power, and technology hyperscalers have been signing large-load power purchase agreements to secure capacity for new facilities. Because data centers run around the clock, as cooling systems, servers, and networking equipment don't power down overnight the way residential or commercial demand does, they create a more constant, predictable load that utilities can plan around. Still, the sheer scale of new demand is straining grids that were built for slower, more gradual growth. This has pushed utility companies to accelerate infrastructure spending, extend the life of existing power plants, and, in some cases, explore new generation sources to keep pace, all of which factor into the growth outlooks that continue to make utility stocks attractive to investors positioning around the AI boom.
#data #center
BIP yields 4.88% and carries Morgan Stanley's Overweight rating, while AVA pays a 4.83% dividend as an under-the-radar income pick.
Edison International (EIX) pays a 4.61% dividend with Barclays' Overweight rating and a $77 price target, making it a strong pick through 2026.
Act now: the ***** yst who called NVIDIA in 2010 just named his top 10 AI stocks — and Edison International didn't make the cut. Grab the names FREE today.
Data center electricity demand has surged over the last few years as AI workloads have scaled up, becoming one of the biggest tailwinds for the U.S. utility sector. Training and running large AI models require massive, continuous computing power, and technology hyperscalers have been signing large-load power purchase agreements to secure capacity for new facilities. Because data centers run around the clock, as cooling systems, servers, and networking equipment don't power down overnight the way residential or commercial demand does, they create a more constant, predictable load that utilities can plan around. Still, the sheer scale of new demand is straining grids that were built for slower, more gradual growth. This has pushed utility companies to accelerate infrastructure spending, extend the life of existing power plants, and, in some cases, explore new generation sources to keep pace, all of which factor into the growth outlooks that continue to make utility stocks attractive to investors positioning around the AI boom.
#data #center
7 days ago
