AI将来在哪些行业会替代人工

I believe that a comIndeed,the pace of change itself can be unsettling.Some fear a future in which AI replaces or displaces jobs,for example.Our white paper and our vision for a future AI-enabled country is one in which our ways of working are complemented by AI rather than disrupted by it.In the modern world,too much of our professional lives are taken up by monotonous tasks–inputting data,filling out paperwork,scanning through documents for one piece of information and so on.AI in the workplace has the potential to free us up from these tasks,allowing us to spend more time doing the things we trained for–teachers with more time to teach,clinicians with more time to spend with patients,police officers with more time on the beat rather than behind a desk–the list goes on.Indeed,since AI is already in our day-to-day lives,there are numerous examples that can help to illustrate the real,tangible benefits that AI can bring once any risks are mitigated.Streaming services already use advanced AI to recommend TV shows and films to us.Our satnav uses AI to plot the fastest routes for our journeys,or helps us avoid traffic by intelligently predicting where congestion will be on our journey.And of course,almost all of us carry a smartphone in our pockets that uses advanced AI in all sorts of ways.These common devices all carried risks at one time or another,but today they benefit us enormously.That is why our white paper details how we intend to support innovation while providing a framework to ensure risks are identified and addressed.However,a heavy-handed and rigid approach can stifle innovation and slow AI adoption.That is why we set out a proportionate and pro-innovation regulatory framework.Rather than target specific technologies,it focuses on the context in which AI is deployed.This enables us to take a balanced approach to weighing up the benefits versus the potential risks.

自20世纪80年代改革开放以来，中国营销行业经历了从传统到数字化再到智能化的变革。最初，营销依赖电视、广播和报纸等传统媒体。随着互联网和社交媒体的兴起，以SEO、内容营销、社交媒体营销、视频营销和直播营销等形式为主的数字营销逐渐成为新趋势。而到了今天，AI不仅提高营销内容生成的效率和质量，也使得营销更加精准和自动化，如通过机器学习分析消费者行为，预测市场趋势，以及自动化执行营销任务等。目前，营销行业或成生成式AI最早实现商业化落地的行业之⼀。未来，AI技术还将持续推动营销行业的深刻变革。△图：营销行业或成最快实现生成式AI落地的领域，《中国AIGC广告营销产业全景报告》1、AI营销行业呈现全新特点•回归营销本质：广告主营销需求和用户的需求能进行直接匹配，从「人与机器」单向交互，回归到了「人与人的交流」•流程扁平化：以往广告营销全流程需要在内容、设计、定向出价等每步环节做优化，生成式AI可以⼀步到位进行内容生产与投放，减少信息损失•从「局部最优」到「全局最优」：从传统的广告推荐模型，变成以数据驱动的大模型为核⼼，实现全局最优的广告分配，提升了系统投放的分配效率2、AI技术变革营销策略洞察及内容生产投放方式广告营销领域的工作流程与环节涉及策略制定与用户画像洞察、广告内容的制作、投放渠道的管理与效果分析等工作，需要消耗大量的时间，其中有较多的工作都可以通过AI代替人工的方式实现效率的提升。△图：AI营销时代工作流程实现深入变革，《中国AIGC广告营销产业全景报告》3、有效提升营销行业生产力•创新广告形式，带来全新交互体验，提升ROI

编程行业的未来：o3的发布意味着人工智能不仅能够在复杂的编程任务中胜过人类，甚至能取代大部分常规编程工作。随着AI的进步，传统的程序员岗位面临巨大挑战，未来可能会有更多的程序员岗位被自动化技术取代。这将对行业造成巨大影响，特别是在软件工程和算法开发等领域。