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AI and robotics in industrial digital transformation

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2026-09-29 17:33 UTC → 2026-09-30 00:42 UTC · added ~~removed~~

The manufacturing, construction, and logistics sectors are undergoing digital transformations driven by Artificial Intelligence (AI), robotics, and advanced connectivity. In manufacturing and construction, the integration of 5G private networks is enabling a shift toward autonomous manufacturing by supporting autonomous mobile robots (AMR), humanoid robots, and digital twin technologies. Companies like Hyundai Engineering & Construction are implementing AI-based systems for contract reviews, customer consultation, and document drafting to enhance operational efficiency. In the warehouse and industrial sectors, AI and machine learning are being utilized to optimize inventory management, forecasting, and demand planning. The rise of robotics, including Automated Guided Vehicles (AGVs) and AMRs, is increasing logistical speed and accuracy. Furthermore, the integration of the Internet of Things (IoT) facilitates real-time monitoring and predictive maintenance, while Industrial AI supports the transition toward Industry 4.0 through mass customization and improved quality inspection. Recent developments show a shift toward scaling AI applications beyond the pilot stage to address high failure rates in generative AI deployments. In the automotive sector, collaborations such as those between HARMAN Automotive, FORVIA HELLA, and Arch Systems aim to improve uptime and throughput. A deployment at HARMAN’s Suzhou facility reportedly achieved a 37% improvement in Defects Per Million Units (DPMU) and a 6 to 8 percentage-point increase in Overall Equipment Effectiveness (OEE). Additionally, the launch of platforms like Syspro’s Torque allows manufacturers to build AI agents via chat interfaces that integrate with existing ERP, MES, and SCADA systems. stage. A September 2026 ~~study by~~ Revalize study, ‘Goodwill is not enough to scale AI’, indicates ~~that~~ the ~~manufacturing~~ industry is transitioning from an initial AI boom into a functional integration era. Surveying 500 ~~executives across Germany, Austria, Switzerland, the USA, and the UK,~~ executives, the report ~~‘Goodwill is not enough to scale AI’~~ found ~~that~~ advanced or broad AI adoption rose from 36% in Q1 2026 to 60% six months ~~later.~~ later, though a gap remains between perceived and proven success; while 72% of executives attribute results to AI, 50% record outcomes only informally. Technological trends are also moving toward embedding AI agents directly into industrial hardware, including CAD software, industrial PCs, and programmable logic controllers. Experts emphasize that successful adoption requires prioritizing the organization of operational data to ensure it is usable by AI systems.

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