满足各类型组织人才风险管理诉求,服务全员

提供大型集团、中小企业、政府事业单位等不同组织人力资源风险防控全套方案,解决不同组织的不同需求。

领英亚太区Talent Connect在新加坡举办,多款AI产品驱动企业全球化进程

  • 发布时间:2025-02-26

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全球职场平台领英(LinkedIn)在新加坡举办了2025亚太区Talent Connect峰会,吸引了亚太区超过千名企业管理者、招聘者和人才发展负责人,现场深入探讨了2025年最值得关注的全球人才趋势,以及全球化企业组织如何在AI时代重塑人才战略,尤其是如何在亚太地区赢得人才先机。

基于领英近期发布的“2025年全球增长最快职位”榜单:“人工智能工程师”依然是全球增长最快的职位之一,特别是在新加坡,这一职位的增长速度排名第一,预示着以新加坡为轴心的东南亚地区已经位于AI驱动的科技浪潮前沿。近两年,众多中国科技互联网、智能制造和服务类企业在东南亚的持续投资,也在加速激活当地劳动力市场和创新创业活力。目前领英平台上有超过3000家活跃的东南亚初创企业,其中1/3专注于IT和商业服务。

领英中国区总经理王茜指出:“在东南亚市场这样一个充满生机与变革的商业环境中,中国全球化企业需要转变固有的人才招聘思维,不仅要更迅速的捕捉当地人才市场的技能变化,也要采取更积极的策略为本地人才技能发展创造空间。此外,赢得人才先机的关键,也取决于他们将AI整合到人才招聘流程和人才发展战略中的速度和能力。”

在此次Talent Connect峰会上,领英隆重介绍了首款AI招聘助手,旨在帮助招聘人员完成重复性工作,从而使他们专注于更具影响力的工作。此外,领英学习也即将升级AI智能导师功能,通过AI驱动的角色扮演和语音互动等方式,帮助企业员工提升AI时代的“软技能”。

东南亚观察一:AI正全面激活东南亚市场生产力与创新力

领英2025年最新数据显示,全球88%(亚太区94%)的企业领导者认为采用人工智能技术是企业的关键战略之一,而全球80%(亚太区88%)的企业领导者认为人工智能将有助于企业打造更具创新力的文化。

事实上,AI技术正在显著提高东南亚市场的生产力。许多东南亚企业已经开始采用生成式AI(GAI)来自动化重复性工作,如客户服务、文档处理、数据分析等,从而让员工能够专注于更高价值的工作,如创新、决策制定等。

在东南亚市场最为活跃的金融服务、电商和智能制造等行业的领先企业已经开始利用AI驱动创新。例如,电商企业利用AI算法来优化商品推荐、库存管理和物流配送,提高运营效率和客户满意度;制造企业则利用AI技术来优化生产流程、质量控制和预测性维护,降低生产成本和提高产品质量。此外,AI还在金融、医疗、教育等领域发挥着重要作用,推动这些行业的数字化转型和生产力提升。

一些已经深度布局东南亚市场的中国全球化企业,已经开始与东南亚的本地初创企业合作,利用他们对本地市场的深入了解和经验,将中国企业在AI和数字化工具等方面的技术优势,转化为针对当地市场的AI智能产品和服务。同时,中资企业也积极参与当地的创新生态系统建设,如孵化器、加速器等,为初创企业提供资金、技术和市场支持,促进创新成果的转化和应用。

东南亚市场观察二:AI进一步搅动劳动力市场人才供需平衡

在亚太地区,近七成(65%)的专业人士计划在 2025 年寻找新工作,这一比例超过全球平均水平(58%)。同时,六成(66.4%)的亚太地区企业管理层表示,他们计划在 2025 年招聘比去年更多的员工。

然而,在东南亚,人才供需失衡的问题也日益凸显。在亚太地区,超过三分之一(41%)的专业人士表示,他们申请的职位比以往更多,但收到的回复却更少。近三分之二(64%)的亚太地区人力资源专业人士表示,他们收到的职位申请中,符合招聘标准的不到一半。

与此同时,东南亚市场对于AI人才和AI相关技能的需求依然在持续增长,在领英平台上发布的职位中,要求具备AI相关技能的职位百分比相比过去一年增加了 6 倍多!与此同时,过去一年,全球AI人才招聘的增长速度比整体人才招聘速度快30%,在新加坡甚至更高(39%)。

此外,在当前招聘市场中,除技术岗位所需的AI专业人才之外,熟练掌握AI工具的非技术类专业人员也是企业最青睐的人才。81% 的全球高管宁愿聘用能够自如使用AI相关工具的人才,也不愿聘用拥有更多专业经验但缺乏AI工具使用能力的人才。

积极探索AI驱动的人才战略,将助中国出海企业赢得人才先机

随着中国全球化企业在以新加坡为轴心的东南亚地区持续深耕,企业海外管理者也面临着优质人才稀缺和本地化人才管理的双重挑战,特别是AI工程师和数据分析师等关键职位。此外,文化差异也为跨国团队的管理和沟通带来了不小的挑战。

针对这些挑战,企业可以提供更加灵活的跨区域招聘策略和灵活办公选择,从而吸引优秀的东南亚本地人才;其次,在雇主品牌宣传中强调和践行多元文化价值观也是关键;此外,打造具备AI敏感度和AI相关技能的人才团队也变得更加重要。

为了帮助中国企业更好地赢得人才先机,领英提供了一全套AI赋能的解决方案。领英于去年推出的Recruiter 2024可以极大地帮助招聘者提升招聘效率和效果,使用AI辅助消息功能的招聘者比未使用该功能的招聘者获得了更高的接受率(44%),候选人回复速度也提升了11%。在此基础上,领英今年又推出了首个AI招聘助手,通过自动化处理招聘中的重复性任务,让招聘者能够将更多精力投入到与候选人建立联系等更有价值的工作中。

2023年,领英学习解决方案落地中国市场,为企业提供了超过24,000门课程,其中包含600多门AI课程。今年领英学习平台也升级了AI智能导师功能,增设了新的“角色扮演”互动场景,通过AI驱动的角色扮演和语音互动等方式,帮助企业员工提升AI时代的“软技能”。

“我相信2025年只是AI重塑企业人才战略之旅的一个开端,我们看到很多领先的中国出海企业都在积极探索AI技术和数据分析工具,尝试将其用于人才招聘的各个关键流程中,从招聘战略、人才搜索、建立定制化的人才库,以及传播雇主品牌,这些创新尝试将极大助力中国出海企业打造更强韧的海外人才团队”,王茜表示。

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