Skip to content
Search

Latest Stories

Follow Us:
Top Stories

MQ-9 Predator Drones Hunt Migrants at the Border

News

MQ-9 Predator Drones Hunt Migrants at the Border
Way into future, RPA Airmen participate in Red Flag 16-2 > Creech ...

FT HUACHUCA, Ariz. - Inside a windowless and dark shipping container turned into a high-tech surveillance command center, two analysts peered at their own set of six screens that showed data coming in from an MQ-9 Predator B drone. Both were looking for two adults and a child who had crossed the U.S.-Mexico border and had fled when a Border Patrol agent approached in a truck.

Inside the drone hangar on the other side of the Fort Huachuca base sat another former shipping container, this one occupied by a drone pilot and a camera operator who pivoted the drone's camera to scan nine square miles of shrubs and saguaros for the migrants. Like the command center, the onetime shipping container was dark, lit only by the glow of the computer screens.


The hunt for the three migrants embodied how advanced technology has become a vital part of the Trump administration's efforts to secure the southern border. This type of drone, previously used in warfare, is operated by the National Air Security Operations division of U.S. Customs and Border Protection at the Army base about 70 miles south of Tucson. A reporter was allowed to observe the operation in April on the condition that personnel not be named and that no photographs be taken.

The U.S. Department of Homeland Security allocated 12,000 hours of MQ-9 drone flight time this year at the Fort Huachuca base, and states that the flights cost $3,800 per hour. However, a 2015 inspector general report estimated the cost to be closer to $13,000, factoring in personnel salaries and operational costs. Maintenance issues and bad weather often mean the drones fly around half the allotted hours, officials said.

An MQ-9 Predator B drone prepares for takeoff at the National Air Security Operations Center in Sierra Vista, Arizona. Photo by Steve Fisher/Puente News Collaborative

With the precipitous drop in migrant crossings at the southern U.S. border, the drones are now tasked with fewer missions. That means they have the time to track small groups or even individual border jumpers trekking north through the desert, including a father and child.

The drone flying this day was mounted with radar, called Vehicle and Dismount Exploitation Radar, or VaDER, that could identify any moving object in the drone’s sight, and pinpoint them with color-coded dots for the two analysts in the first container. The program had already located three Border Patrol agents, one on foot and two on motorcycles, searching for the migrants. The analysts had also identified three cows and two horses, headed towards Mexico.

Then, one of the analysts spotted something.

“We got them,” he said to his colleague, who had been scanning the terrain. “Good work.”

The analyst dropped a pin on the migrants, and the VaDER program began tracking their movement in a blue trail. Now, he had to guide agents on the ground to them.

“We've got an adult male and a child, I think, tucked in this bush,” the analyst radioed to his team, as he toggled between the live video to an infrared camera view that shows the heat signature of every living thing in range. The analyst saw his Border Patrol colleagues approaching on motorcycles.

The roar of the oncoming machines scared up a bird, the tracking program showed. The migrants began running.

“OK, it looks like they're starting,” the camera operator radioed to the Border Patrol agents. “They’re hearing the bikes. They hear you guys.” The camera operator and the other personnel spoke in the professional, matter-of-fact tone of 911 operators.

One adult and the child began scrambling up a hill. “They’re moving north and west, mainly,” the camera operator said. “Starting to pick up the pace going uphill.”

VaDER GMTI imagery output from a CBP MQ-9. Image courtesy of U.S. Customs and Border Protection

The agents rushed in on the pair and detained them. It was a mother and her child. The drone team turned its attention to the third person, who was stumbling through the brush and making a beeline for the Mexican border.

“If you cut due south from your current location,” the drone pilot said to the camera operator. “You should pick up some sign.”

The camera operator, as directed, panned across the desert, scanning farther and farther south.

“I’ve got them,” he said when he spotted someone running. He radioed the coordinates to the Border Patrol team. By now, the man, carrying a backpack, had scaled a hill.

“He’s on the ridge line right now, working his way up due south, slowly,” the camera operator radioed.

Then the man dropped something.

“Hey, mark that spot,” the camera operator said. “He just threw a pack, right here where my crosshairs are at.”

Agents would go back later and see if the backpack contained drugs, an analyst said. “Usually, if it’s food or water, they’re not going to do that,” he said.

On this spring morning, the drone wasn't the only airborne asset deployed. A helicopter had joined the chase to catch the southbound man, who stumbled, got up, and kept running.

“He took a pretty good spill there,” an analyst said into the radio.

“We have help inbound, three point five minutes out,” the camera operator said.

A helicopter came into the drone’s view. It swooped in, circling the location of the man, who was by now hiding under a bush.

“You just passed over him,” the camera operator radioed the helicopter pilot. “He’s between you and that saguaro.”

With a keystroke, he switched to infrared vision to find the man’s heat profile through the brush to make sure he still had him.

Guided by the camera operator, the pilot landed the helicopter in a cloud of dust near the cowering target. The video feed showed agents jump out of the aircraft, detain the man, and load him into the helicopter. The chopper lifted off and tilted back north towards a nearby Border Patrol post.

“Thanks, sir, appreciate all the help,” the analyst said to the helicopter pilot.

Mission accomplished, the drone pilot turned the MQ-9 back along the U.S.-Mexico border, scanning the vast desert in search of more migrants. The military is planning to deliver a third MQ-9 drone to the base this fall after spending a year retrofitting it for civilian authority use.

MQ-9 Predator Drones Hunt Migrants at the Border was first published by palabra and republished with permission.

Steve Fisher is a Puente News Collaborative correspondent, covering security issues in Mexico.

This article was edited by Steve Padilla, Column One Editor for the Los Angeles Times.


Read More

Who’s Responsible When AI Causes Harm?: Unpacking the Federal AI Liability Framework Debate
the letters are made up of different colors

Who’s Responsible When AI Causes Harm?: Unpacking the Federal AI Liability Framework Debate

This nonpartisan policy brief, written by an ACE fellow, is republished by The Fulcrum as part of our partnership with the Alliance for Civic Engagement and our NextGen initiative — elevating student voices, strengthening civic education, and helping readers better understand democracy and public policy.

Key takeaways

  • The U.S. has no national AI liability law. Instead, a patchwork of state laws has emerged which has resulted in legal protections being dependent on where an individual resides.
  • It’s often unclear who is legally responsible when AI causes harm. This gap leaves many people with no clear path to seek help.
  • In March 2026, the White House and Congress introduced major proposals to establish a federal standard, but there is significant disagreement about whether that standard should prioritize protecting innovation or protecting people harmed by AI systems.

Background: A Patchwork of State Laws

Without a national AI law, states have been filling in the gaps on their own. The result is an uneven landscape where a person’s legal protections depend entirely on which state they live in.

Keep ReadingShow less
Teenager admiring electronic hobby robot.

Explore how China is overtaking the U.S. in the global innovation race, from electric vehicles to advanced research, and why America’s fragmented science policy, talent loss, and weak industrial strategy threaten its technological leadership.

Getty Images, Willie B. Thomas

America’s Greatest Geopolitical Blind Spot

The global hierarchy of innovation is undergoing a structural shift that Washington is dangerously slow to acknowledge. For decades, the prevailing narrative in the United States was that China was merely the "world’s factory"—a nation capable of mass-producing Western designs but inherently lacking the creative spark to invent its own. This assumption has been shattered. Today, Beijing is no longer playing catch-up; in sectors ranging from electric vehicles and next-generation nuclear power to hypersonic missiles, China is setting the pace.

The central challenge is that China has mastered the entire innovation ecosystem, while the United States has allowed its own to fracture. Innovation is not just about a "eureka" moment in a laboratory; it is a relay race that begins with basic scientific research, moves through the training of specialized talent, and ends with the large-scale commercialization of "hard tech." China is currently winning every leg of that race.

Keep ReadingShow less
An illustration of a person standing alone on a platform and looking at speech bubbles.

A bold critique of modern democracy and rising authoritarian ideas, exploring how AI-powered swarm digital democracy could redefine participation and governance.

Getty Images, Andriy Onufriyenko

The Only Radical Move Forward: Swarm Digital Democracy

We are increasingly told that democracy has failed and that its time has passed. The evidence proffered is everywhere, we are told: Gridlock, captured institutions, performative elections, a public that senses, correctly, that its voice rarely translates into real power. Into this vacuum step dystopic movements like the Dark Enlightenment and harder strains of Right-wing populism, offering a stark diagnosis and an even starker cure: Abandon the illusion of popular rule and return to forms of authority that are decisive, hierarchical, and unapologetically exclusionary. They present themselves as bold, clear-eyed, rambunctious, alive, and willing to act where others hesitate. And all to save the world from itself.

But this framing depends on a sleight of hand: It assumes that what we have been living under is, in fact, democracy, and that its failures are the failures of democracy itself. That is the first mistake.

Keep ReadingShow less
Judge's Gavel Hammer as a Symbol of Law and Order with Processor CPU AI Chip.

Elon Musk’s xAI company is challenging AI regulations in Colorado after losing in California, arguing that limits on artificial intelligence violate free speech. As Connecticut enforces its own AI law, this case could shape the future of AI regulation, corporate accountability, and constitutional rights in the United States.

Getty Images, Alexander Sikov

xAI Pushes Free Speech Theory Into New AI Lawsuits

Elon Musk's AI company, xAI, is on a legal road trip. After losing in California, it filed suit in Colorado asking a court to declare the state's artificial intelligence regulations unconstitutional. The argument is essentially the same one that already failed. Meet the new boss. Same as the old boss.

For Connecticut residents, this is not just the next state in the alphabet that has passed AI legislation. Connecticut was one of the first states in the nation to adopt an AI law, requiring companies to disclose when AI is being used in critical decisions like employment, housing, credit, or healthcare. That law is already drawing scrutiny from the technology industry. What xAI tried to do in California and now in Colorado is a preview of what we may face in Connecticut.

Keep ReadingShow less