作为企业管理者，面对 AI 的到来，应主动学习以下板块功能，以带来增效：
1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.
In 2024,breakthroughs in visual AI technology significantly boosted the efficiency of creative design work.AI advancements have enabled rapid generation of assets and complex image edits,drastically reducing production time.In 2025,the creative industry will continue to integrate AI,making it a core component in design workflows,driving flexibility and speed.Adobe reports that designers using AI-powered tools have seen a 30% increase in productivity,particularly in asset creation and image processing.2024年，视觉AI技术的突破极大地提升了创意设计工作的效率。AI的进步使得素材生成和复杂图像编辑更加快速，大幅缩短了生产周期。预计2025年，创意行业将继续与AI深度融合，使AI成为设计流程中的核心要素，推动创意工作的灵活性和速度。Adobe发布的报告指出，使用AI驱动工具的设计师生产力提高了30%，特别是在素材创建和图像处理方面。[heading2]Benefit[heading3]Increased Design Efficiency(提升效率)[content]AI automates various parts of the design process,enabling designers to focus more on ideation and strategic creativity rather than repetitive tasks,which increases productivity and speed.AI自动化了设计过程中的多个环节，使设计师能够专注于构思和战略创意，而非重复性工作，从而提升生产力和速度。[heading3]Enhanced Personalization(增强个性化)[content]AI enables large-scale customization by generating personalized content based on user data,helping brands tailor their messaging and creative assets for diverse audiences more efficiently.AI通过基于用户数据生成个性化内容，帮助品牌更高效地为不同受众定制信息和创意素材，实现大规模定制。[heading3]Cost Reduction(降低成本)[content]Automating parts of the creative workflow lowers labor costs and makes quality design services more accessible,particularly for small and medium-sized businesses.自动化创意流程的一部分降低了人工成本，使高质量的设计服务更易获得，尤其对中小型企业而言。
1.31.Regulation can increase innovation by giving businesses the incentive to solve important problems while addressing the risk of harm to citizens.For example,product safety legislation has increased innovation towards safer products and services.68 In the case of AI,a contextbased,proportionate approach to regulation will help strengthen public trust and increase AI adoption.692.32.The National AI Strategy set out our aim to regulate AI effectively and support innovation.70 In line with the principles set out in the Plan for Digital Regulation,71 our approach to AI regulation will be proportionate;balancing real risks against the opportunities and benefits that AI can generate.We will maintain an effective balance as we implement the framework by focusing on the context and outcomes of AI.3.33.Our policy paper proposed a pro-innovation framework designed to give consumers the confidence to use AI products and services,and provide businesses the clarity they need to invest in AI and innovate responsibly.72 This approach was broadly welcomed–particularly by industry.Based on feedback,we have distilled our aims into three objectives that our framework is designed to achieve:o Drive growth and prosperity by making responsible innovation easier and reducing regulatory uncertainty.This will encourage investment in AI and support its adoption throughout the economy,creating jobs and helping us to do them more efficiently.To achieve this objective we must act quickly to remove existing barriers to innovation and prevent the emergence of new ones.This will allow AI companies to capitalise on early development successes and achieve long term market advantage.73 By acting now,we can give UK innovators a headstart in the global race to convert the potential of AI into long term advantages for the UK,maximising the economic and social value of these technologies and strengthening our current position as a world leader in AI.7468 The impact of regulation on innovation,Nesta,2012.