Industrial Engineering Technologists and Technicians

In today’s factories, some tasks are already helped by AI and machines. For example, smart cameras and computer vision can inspect finished products very accurately. In one study, a deep-learning vision system checked cast parts with 99.86% accuracy ^[1].

Big companies also use AI to count items: Starbucks uses automated inventory counters in stores to track stock with minimal error ^[2]. Even the U.S. National Institute of Standards and Technology notes that modern production lines have many sensors and digital cameras that record what happens on the line ^{[3] [3]}. This means checking quality and logging production data can be partly done by machines.

However, tasks like reading detailed logs or writing reports still need human thinking. Experts warn that AI will help with routine work, but will not replace workers completely anytime soon ^{[2] [3]}.

Companies adopt AI tools for clear benefits and also face challenges. On the “fast” side, AI can analyze data and automate routine decisions, which saves money. One industry report noted that demand for AI in supply chains (including factories) is expected to jump from about $2.7 billion to $55 billion by 2029 ^[2].

Large firms like those using SAP or Microsoft software are building AI tools, and retailers like Starbucks are already using AI to track inventory ^{[2] [2]}. These tools can make production more precise and reduce waste. In other words, factories that add AI can work smarter and may win an edge with tighter schedules and smaller inventories ^{[2] [2]}.