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Manufacturing industry AI and supply chain shifts

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2026-09-11 17:28 UTC → 2026-09-21 05:24 UTC · added ~~removed~~

The manufacturing sector is navigating shifts in artificial intelligence integration and supply chain requirements. Industry leaders are addressing challenges such as fragmented supply chains and isolated AI pilots through upcoming forums, including the OpenText World 2026 conference which will introduce an Industry Advisory Board for manufacturing. In the drone manufacturing sector, companies are facing pressure to redesign battery packs due to regulatory changes. These include the sunsetting of the FCC’s domestic-end-product exemption on January 1, 2028, and procurement bans on specific Chinese cell makers for defense customers. Experts recommend that drone OEMs design their own packs using cells from allied nations to ensure compliance and supply chain resilience. Looking toward 2026, the technological landscape is being shaped by rapid advancements in AI and semiconductor supply chains. In the United States, the administration has prioritized swift innovation to maintain technological dominance over China, with President Donald Trump rejecting proposals to moderate the pace of frontier model training. Manufacturing research is also shifting toward Human-centric Smart Manufacturing (HSM) under the Industry 5.0 paradigm. This approach utilizes Vision-Language Models (VLMs) and Large Language Models (LLMs) to improve human-robot interaction. By fusing visual and linguistic inputs, these models aim to address limitations such as data scarcity and the need for constant re-training, allowing for more adaptive exchanges between humans and robotic systems.

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