GE Appliances is leaning heavily into artificial intelligence at its cooking appliance plant in LaFayette, Ga., where autonomous vehicles deliver parts to assembly lines, robots attach glass cooktops to metal frames and AI-powered cameras and sensors are trained to catch mistakes. The machinery doesn’t just move product. It watches, measures and shuts things down when the line slips out of the company’s preferred rhythm.
Tony Gabbert, the plant's director of manufacturing operations, said the systems are everywhere at the plant. If a camera spots an anomaly, such as the wrong gasket installed on an oven, the system shuts that part of the line down and starts playing loud music. "If you hear AC/DC, you know to come running down here," Gabbert said. "The quicker we know what the problem is, the quicker we can fix it."
Who Runs the Line
Gabbert said American factories are under extraordinary pressure to perform perfectly and that manufacturers are leaning heavily into advanced technology and artificial intelligence to improve quality and efficiency. He said, "We're not shooting for 97. We want to run 100 every day." That’s the language of the plant floor under corporate discipline: no slack, no breathing room, no room for human error unless the machines catch it first.
Bill Good, GE Appliances' vice president of manufacturing, estimated the company saves between $1.5 million and $2 million per year with every percentage point of improvement. That’s the real math behind the shiny automation. Every tiny gain gets translated into money for the company, while the pressure to hit perfection lands on the people and processes below.
GE Appliances has spent more than a decade collecting data through cameras and sensors. Its Brilliant Factory platform now generates millions of lines of data every day and gives a real-time view into how each of its nine major appliance plants is running, down to the workstation. From company headquarters in Louisville, Ky., Good can see which machines are down and why, how many appliances are going to the repair bay and why, which parts are getting scrapped and how much that scrap is costing the company.
Surveillance as Management
"In the old days, I would call my plant manager, and I'd say 'How you running today?'" Good said. "Now I'll call them and say 'Why are you running so poorly?'" He said AI's ability to analyze the data and figure out where problems lie has been transformative. Plant managers now start their days with AI-generated reports on where there might be problems and how to solve them.
That’s not just efficiency. It’s centralized oversight with a digital spine. The headquarters can watch the floor in real time, down to the workstation, and turn every delay, scrap pile and repair bay visit into a metric for discipline.
AI will flag if the data shows that a motor is running hot, which can signal an upcoming breakdown. Good said halting just one assembly line can cost the company between $300 and $500 per minute. "The name of the game in manufacturing is speed — speed at which you see the problem, speed at which you solve the problem," he said. "Literally, minutes matter."
That pressure doesn’t disappear because the software is smarter. It gets sharper. The system exists to keep the line moving, keep the costs down and keep the company from losing money when production stalls.
What the Company Calls Progress
Good said AI has shrunk the gap between manufacturing veterans like him and workers with only five years on the job. "It can outthink me," said Good, who has been in manufacturing for nearly 40 years. He said he doesn't worry that AI will replace him. "At least in the foreseeable future, I don't see AI replacing large populations of humans," he said.
GE Appliances, which was acquired by the Chinese conglomerate Haier in 2016, recently added 600 jobs in Georgia as part of a $180 million expansion. The company has started using AI to optimize staffing and forecast market demand, allowing it to move workers to other tasks when they aren't needed in one part of the plant and make last-minute decisions about what products to make each week.
That’s the hierarchy in plain sight. Headquarters gets the data. Managers get the reports. Workers get moved around when the software says they’re not needed. The company gets flexibility, and the people on the floor get the uncertainty that comes with being treated like adjustable parts in a machine.
Good said all of this is helping GE Appliances thrive despite cutthroat competition. "You have to be faster, better, more flexible. That's the only thing that neutralizes the threat," he said. The threat, in this setup, isn’t the system itself. It’s everything and everyone outside the company’s drive for speed, control and profit.