英国制造商组织：2026人工智能、技能与英国制造业未来洞察报告（英文版）（20页）.pdf

1、 AI,skills and the future of The UK manufacturing sector 2 Executive Summary.3 AI transformation requires people:A worker led approach to AI in UK Manufacturing.6 AI deployment in UK manufacturing.6 How AI Is Being Used in Manufacturing.8 Jobs and Skills from task automation to work redesign.9 Skill

2、s Gaps.11 Skills for AI and manufacturing workforce.11 How manufacturers are supporting the need for AI Skills.13 Barriers to building AI skills,whats really in the way.13 What needs to change-Make UK s calls for action.14 Conclusion.16 Annex .17 1.UK Definitions.17 2.Key developments to watch in 20

3、26.17 3.SCAN PILOT-SCALE.18 4.How businesses should be preparing now.19 Contents 3 Executive Summary AI for manufacturing is the use of advanced technologies,such as predictive,analytical AI(e.g.,quality,maintenance,planning),computer vision,optimisation and generative AI(e.g.,assistance,design)that

4、 supports engineering,operations,and administrative workflows to help factories operate smarter,faster,and more efficiently.1 Artificial Intelligence(AI)has real potential to transform UK manufacturing,boosting productivity,improving efficiency and resilience,and helping businesses do more with the

5、talent they already have.But we are at a critical moment.For AI to deliver its full potential,firms must move beyond experimentation and begin building clear strategies that embed AI across their operations and close the gap in AI adoption.Addressing the digital gap in UK manufacturing is a critical

6、 economic priority,as the industry currently loses approximately 6 billion annually in output due to unfilled vacancies that could be bridged by technology.While larger firms are more likely to adopt advanced tools,a significant digitalisation gap remains,closing this could unlock a 150 billion boos