Manufacturing faces simultaneous labor shortages and rapid technological advancement. AI can make expertise accessible, repeatable, and scalable, enabling a more efficient and safer workforce and helping fill empty jobs. Factory roles depend on years of built-up knowledge, split-second subjective decisions, software, and sensors, yet floor tools remain outdated. Manufacturing intelligence platforms provide actionable guidance to operators, enabling human-machine collaboration that can outperform full automation. This approach preserves livelihoods, boosts innovation and efficiency, and strengthens competitiveness. Without workforce enablement, significant job vacancies could persist despite increased investment in domestic factories.
America's manufacturing sector is at a crossroad. On one hand, we face a growing shortage of skilled labor amid major sector growth. Companies are announcing new factories in the United States every month, but the National Association of Manufacturers projects that by 2030, more than two million manufacturing jobs could go unfilled due to a lack of qualified workers. On the other hand, we're in the middle of an extraordinary wave of technological advancement-AI, augmented reality, robotics, and more.
By using AI to make expertise more accessible, repeatable, and scalable, we can build a more efficient and safer workforce-and actually fill our empty jobs. Today's factory jobs are more art than science, where years of built-up knowledge are critical to getting things done the right way. They rely on software, sensors, and split-second subjective decisions. But the tools on the factory floor haven't evolved past a checklist and a hope. We're asking workers to operate with 20th-century instructions in a 21st-century environment.
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