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Accident Help (Home) » Injury Blog » AI at Work: What Georgia Employers Need to Know Now
The claim process series: Georgia workers’ compensation claims with Gerber & Elkins
The claim process series: Georgia workers’ compensation claims with Gerber & Elkins

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AI at Work: What Georgia Employers Need to Know Now

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About Ben Gerber

Benjamin Gerber
Partner Contributor: Benjamin Gerber

Gerber & Elkins Workers' Compensation Attorneys | Georgia

Ben Gerber, a founding partner at Gerber & Elkins, dedicates his practice to helping those who have been injured on the job. View profile

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AI injuries in Georgia

When was the last time you drove the I-16 corridor between Macon and Savannah? If you’ve been there recently, you likely noticed mile after mile of distribution centers that didn’t exist a decade ago. The Port of Savannah moved 5.7 million container units in fiscal year 2025; this statistic comes from the University of Georgia, which also found that port activity now supports nearly 651,000 jobs statewide, or about one in every eight jobs in Georgia. The state’s transportation and logistics sector, alone, employs nearly 293,000 people, and the number continues to climb. 

But what’s changing inside those warehouses is just as significant as how fast the warehouses themselves are multiplying. Autonomous mobile robots shuttle inventory across concrete floors, while AI-driven sorting systems process thousands of parcels per hour, and wearable exoskeletons help workers lift loads that would have been two-person jobs a few years ago. And humanoid robots—once a concept that we only knew about from science fiction—are already at work in Georgia. Robotics company Agility announced that its bipedal robot, “Digit”, had moved more than 100,000 totes at a GXO Logistics facility in Flowery Branch. 

While the transformation to AI-assisted workplaces promises enormous gains in efficiency, it has also changed the types of injuries Georgia workers sustain on the job. This raises questions about how well the state’s workers’ compensation framework is equipped to handle them.

Are automated warehouses safer?

Warehouse automation was “sold” to companies because safety was touted as one of its biggest attributes. For example, robots handle the heaviest lifting, and conveyors eliminate the need to walk miles on concrete. The data actually support these safety claims; industry surveys show that facilities that implement automation report approximately a 25% reduction in workplace injuries compared to non-automated operations. 

But there’s more to the story than these numbers. Reports indicate that Amazon warehouses equipped with robots actually have significantly higher rates of serious injuries than non-robotic facilities… as much as 50% higher. Robots aren’t inherently dangerous, but automation changes the pace of the work humans do alongside them. When robots bring inventory to workers, walking disappears, but picking, twisting, and repetitive motion intensify. Workers perform the same motions at a pace set by a system that never tires. 

The result is a shift in injury patterns. Traditional warehouse injuries like slips and falls, forklift collisions, and others, aren’t going away. They are, however, being joined by a new category of injuries involving human-machine interaction.

New injury patterns in the automated workplace

There are several distinct categories in the emerging injury landscape.

1. Pace-driven musculoskeletal injuries

When automation speeds the workflow, the human body absorbs the difference. Workers at robotic pick stations handle hundreds of items per hour, which means repeating the same reach-and-place motion in cycles measured in seconds. The injuries are familiar (rotator cuff tears, lumbar disc herniations, carpal tunnel syndrome), but their onset is faster and the incidence is higher than in traditional manual operations.

2. Collision and crush injuries from mobile robots

Autonomous mobile robots are designed with sensors and emergency stops, but they share floor space with human workers. Collisions happen, particularly when there are shift changes, equipment malfunctions, or in facilities with poorly designed robot traffic patterns. Workplace robotics safety research has shown that about 56 percent of robot-related injuries are classified as pinch injuries, and 44 percent are impact injuries.

3. Cognitive overload and decision-fatigue injuries

Workers who supervise automated systems face a different kind of strain. Monitoring AI-powered equipment requires sustained attention with infrequent intervention; this combination is recognized in cognitive science as particularly fatiguing. When a human operator must make a split-second decision in an emergency, the mental fatigue from hours of passive monitoring can slow reaction times and lead to injuries that would not have occurred in a more actively engaged work environment.

4. Exoskeleton-related injuries

Wearable exoskeletons are becoming more common in logistics, and they do reduce strain on targeted muscle groups. But a study by Texas A&M University found that wearing a back exoskeleton during lifting tasks produced measurable cognitive effects; the brain had to work harder to coordinate movement through the device. Over a full shift, this increased cognitive load could contribute to errors or secondary injuries in body parts that the exoskeleton does not support.

Georgia workers’ compensation and automation injuries

So, we’re up to the big question: How do automation injuries affect your Georgia workers’ compensation benefits? 

Georgia workers’ compensation is a no-fault system. That means an injured worker does not need to show that their employer was negligent; they need to prove that the injury arose out of and in the course of employment. In other words, if your injury happened while you were doing your job or at your workplace, it should be eligible for benefits, even if the injury wasn’t caused by negligence. 

Most automation-related injuries will meet this standard. A worker who suffers a repetitive-stress injury from picking items at a robotic workstation, or who’s struck by a malfunctioning autonomous mobile robot, has a straightforward claim: The injury occurred at work, during work, and because of work. 

But, there are some new challenges to this workers’ comp framework that are being set in motion by the new technology. 

Who is responsible if a worker is injured because an AI system set an unsafe pace? For example, a production algorithm pushed throughput beyond what a human body can sustain—is the employer responsible? Because of Georgia’s no-fault system, the answer is likely yes. The case of the injury doesn’t need to be traced to a negligent decision or action. If the work caused the harm, the claim is compensable. 

However, the case becomes more complex when it’s a specific musculoskeletal injury, not just normal wear and tear, because the employee would need to prove that the injury was caused by the software-driven pace of work. They would need medical evidence that links the cause and effect. 

What if an employee who’s monitoring an automated system sustains a repetitive stress injury while working from home? This raises the question of whether the injury arose in the course of employment, which could implicate Georgia’s still-developing framework for remote work injuries.

What should a Georgia employer do right now?

A Georgia employer adopting automation can get ahead of these issues rather than react after a claim is filed. There are some steps an employer can take to try to avoid automation-related injuries.

  1. Conduct ergonomic assessments of human-robot workstations. The physical demands of a robotic pick station are different from those of a traditional warehouse role. Employers should be evaluating cycle times, repetitive-motion exposure, and workstation design with the same rigor they would apply to any new piece of heavy equipment.
  2. Document training on all automated wearable systems. If an injury claim turns on whether a worker was properly trained to use an exoskeleton or to operate alongside mobile robots, contemporaneous training records can become critical evidence. A Georgia employer should maintain detailed logs of who was trained, when, on what equipment, and by whom. 
  3. Review production algorithms for safety concerns. If an AI system is setting the pace of work, someone in the organization should be asking whether that pace is physically sustainable over a full shift. The answer should be documented. An algorithm that maximizes throughput without accounting for human ergonomic limits is a workers’ compensation claim waiting to happen.
  4. Update panel physician lists. Georgia law requires each employer to maintain a posted panel of at least six physicians available to injured workers. As injury patterns shift toward complex human–machine interaction cases, an employer should ensure its panel includes orthopedic specialists and occupational medicine physicians who are equipped to evaluate and treat these emerging conditions.

What’s next?

Georgia is all-in on adopting automation in the workplace—as the saying goes, we’re not going to stop this freight train. 

The Port of Savannah’s Garden City Terminal West expansion is on track for 2026, the Blue Ridge Connector inland terminal is opening near Gainesville, and the state’s logistics footprint is growing by every measure. The robots are here. The AI systems are here. And the injuries they produce—different in kind, harder to prove, and often more complex to treat—are here, too.

The workers’ compensation system in Georgia was built in 1920, and was designed for a workforce that lifted, carried, and moved things with its own muscles. That system is flexible enough to cover most of what is coming. But employers, insurers, and practitioners who treat automation-related injuries the same way they treat a warehouse slip-and-fall will find themselves behind the curve. The world is changing, and we all need to change with it.

Filed Under: Georgia

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