A conservative social movement called Humans First is organizing a national day of protest on July 18, targeting the rapid expansion of AI data centers across the United States. The group has launched a website complete with a countdown clock and protest locator, framing the event as a stand against what it calls “Big AI globalists.”

The numbers behind the backlash

A Gallup poll conducted on May 13 found that 70% of Americans oppose the construction of AI data centers in their communities. Nearly half, 48%, said they strongly oppose it.

According to Data Center Watch, at least 75 data center projects worth approximately $130B were blocked or delayed during the first quarter of 2026 alone.

Over 140 groups have emerged across more than 24 states, from Utah and Arizona to Virginia and New Jersey. Each started with local grievances. Humans First is attempting to stitch them into a single national movement.

What’s driving the opposition

The concerns are not abstract. AI data centers are extraordinarily thirsty. A single large facility can consume millions of gallons of water daily for cooling, often in regions already dealing with drought stress. They also draw enormous amounts of electricity, sometimes requiring dedicated power plants or rerouting grid capacity away from residential users.

Then there’s the noise. Industrial cooling systems run around the clock, and communities near these facilities have reported constant low-frequency hum that affects quality of life. Land use is another flashpoint, as agricultural areas and suburban neighborhoods find themselves rezoned for massive industrial complexes that offer relatively few local jobs compared to their footprint.

Humans First frames all of this as a question of priorities. The group’s messaging centers on the idea that ordinary Americans are bearing the costs of AI expansion while the benefits flow to a handful of tech giants.

The movement describes itself as bipartisan, though its leadership and organizational DNA lean conservative.

What this means for the AI buildout and investors

Hyperscalers like Microsoft, Google, Amazon, and Meta have committed hundreds of billions of dollars to new facilities, driven by insatiable demand for AI compute.

When 75 projects worth $130B get stalled in a single quarter, the delays start showing up in earnings guidance and capex timelines. Companies that have made forward commitments to AI capacity, whether as builders or tenants, face a widening gap between planned supply and deliverable infrastructure.

Utilities and energy companies tied to data center contracts face their own exposure. If projects get canceled rather than merely delayed, power purchase agreements and grid investment plans unravel.