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US Firm to Cut 270 Jobs amid Backlash over AI-Powered Mass Surveillance

  • October, 09, 2026 - 14:22
  • World news
US Firm to Cut 270 Jobs amid Backlash over AI-Powered Mass Surveillance

TEHRAN (Tasnim) - US surveillance technology company Flock Safety plans to lay off about 270 employees, or 18% of its workforce, amid mounting public anger over its AI-powered surveillance cameras and growing online opposition to the collection of Americans’ movements and vehicle data.

World

The planned cuts, expected to take effect at the end of October, follow a voluntary buyout program and would affect the Atlanta-based startup’s roughly 1,500 employees, according to people familiar with the plans.

Meanwhile, anger over the cameras has spilled onto social media, where users have criticized the spread of mass surveillance and circulated videos about disabling the devices.

The Washington Post reported in August that online videos had promoted camera sabotage, including cutting down devices and using high-powered lasers to interfere with their operation, while The Guardian documented a growing movement targeting Flock cameras across the United States.

The backlash reflects broader concerns about a surveillance network that spans 49 states and comprises approximately 120,000 AI-powered cameras that capture license plates and record passing vehicles.

A Reuters/Ipsos poll found that 47% of Americans opposed the use of Flock cameras in their communities, compared with 38% who supported them.

Critics have raised concerns about privacy violations, unauthorized police searches and the use of camera data in immigration enforcement.

In September, Florida banned automated license-plate readers from state highways, while Flock faces a privacy lawsuit in Virginia alleging that its widespread camera network amounts to warrantless surveillance.

Flock says its technology helps law enforcement investigate and solve crimes, but its expansion has increasingly drawn resistance from communities questioning whether the public-safety benefits justify the risks of pervasive tracking.

 
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