Frontier Technologies in Industrial Operations 2025

1.2 Redefining the role of humans: from operators to AI-enabled orchestrators1.1 Entering the next frontier: the path towards self-control The industrial sector stands at a pivotal juncture. Frontier technologies, such as AI agents, are capable of performing complex activities. This paves the way for increasingly AI-driven, near- autonomous operations, within which many machines and AI-enabled systems will function with minimal human intervention. Success depends on cultivating a trusted human-machine interaction, where both collaborate seamlessly. Currently, automation is often reserved for simple, repetitive tasks that still require manual oversight to ensure continuous operation. In the past, the expansion of automation was hindered by technological hurdles (such as an inability to handle unsorted flexible parts like cables automatically) and financial constraints. However, more advanced technologies and decreasing costs are poised to enable wider deployment across factories, with autonomous systems taking control of routine operations. These autonomous systems – encompassing machines, robots and virtual systems – may manage routine tasks ranging from material handling to quality control and production planning. Such systems may optimize and adjust production parameters on machines in real time to align with business needs, enhancing flexibility. Although the extent of automation will ultimately depend on the return of investment across industries and regions, many factories may converge towards autonomy, driven by the need to remain competitive. The shift towards autonomy may also revolutionize factory design. Future AI-centric factories might prioritize machine-optimized layouts that enhance production efficiency and flexibility. For instance, valuable ground-floor space can be freed up by storing unfinished parts in automated multi-storage shelves, manual processes can be accelerated and performance monitoring can be centralized in virtual control centres rather than dispersed throughout the shop floor. Self-controlling factories and supply chains will deliver significant improvements such as: –Efficiency: Predictive analytics will shift operations from reactive to proactive management, anticipating issues and implementing necessary adjustments immediately. Real-time adjustments will enhance machine uptime, quality control and cost efficiency. –Flexibility: Advanced robotics and AI will enable highly personalized manufacturing and swift reconfigurations, making production lines adaptable to varying product demands. Autonomous systems will self-organize for optimal factory layout and performance, further enhancing flexibility. They will also increase supply chain agility and responsiveness. –Sustainability: Autonomous systems will optimize energy consumption and minimize waste. Real-time analytics will monitor environmental impacts, ensuring that sustainability goals are met without sacrificing efficiency. –Worker empowerment: AI-driven tools and automation will enhance workforce capabilities and facilitate human-machine interactions, enabling workers to quickly understand production issues and make more well- informed decisions. The transformation to near-autonomous industrial operations requires coordinated changes across both human and technological dimensions. Human involvement will remain essential in industrial operations of the future, as workers may transition from hands-on operators to AI- enabled orchestrators who oversee autonomous systems and provide judgment or ingenuity as required. As machines advance in natural language comprehension, human-machine interactions will become more fluid and intuitive, enabling productivity breakthroughs. For example, one individual supported by assistant systems can supervise multiple functions such as quality, inspection and production simultaneously. Maintenance activities that require physical dexterity – such as checking for leaks or replacing parts inside a machine – may partially remain human-led but can be significantly augmented by virtual agents. Although the extent of automation will ultimately depend on the return of investment, many factories may converge towards autonomy, driven by the need to remain competitive. Frontier Technologies in Industrial Operations 8