• job market
    1.8亿岗位数据揭秘:AI对就业市场的真实影响远超想象 引言:超越炒作——真实数据怎么说 关于人工智能(AI)将取代人类工作的焦虑和猜测无处不在,但令人惊讶的是,这方面的确凿数据却少之又少。我们看到的,要么是分析宏观行业的笼统研究,要么是只关注特定群体的局部报告。 因此,本文旨在通过对全球近1.8亿个招聘岗位的深度分析,揭示其中最令人意外的发现。让我们抛开观点,看看就业市场到底发生了什么。 首先,我们必须建立一个基准:与2024年同期相比,2025年的招聘岗位总数下降了8%。这个数字至关重要,因为它是我们分析的基线。当我们审视各个岗位的增减百分比时,我们需要判断:它们是仅仅跟随市场下滑,还是受到了更剧烈的冲击?本文的重点,正是那些与-8%的市场趋势产生巨大偏离的岗位——AI的影响在这些领域最为清晰。 2.0 发现一:创意工作未消亡,而是在“一分为二” 执行层骤降,战略层坚挺 数据显示,一个明显的趋势是:那些专注于“执行”的创意角色正在经历最严重的下滑,而涉及战略和领导力的创意角色则表现良好,甚至优于市场平均水平。 为了更清晰地展示这种分化,请看下表: 电脑图形艺术家-33%的降幅令人震惊,是-8%市场平均降幅的四倍多。相比之下,创意总监、平面设计师等职位之所以相对稳定,是因为他们的工作涉及更复杂的决策、客户互动和策略制定——这些是AI目前尚无法复制的能力。AI或许可以生成一张图片或一段文字,但它无法理解客户的微妙反馈,也无法制定驱动整个项目的创意战略。 3.0 发现二:职位越高越安全——领导层 vs. 其他所有人 AI赋能高层,基层岗位需求萎缩 这是数据中最“反常”的发现之一。职位层级与工作稳定性之间存在惊人的正相关关系。以下是不同层级岗位数量的同比变化: 高级领导层(总监、副总裁及C级高管): -1.7% 经理级岗位: -5.7% 个人贡献者(执行层)岗位: -9% 高级领导层-1.7%的降幅,意味着它在一个萎缩的市场中表现得非常出色。而个人贡献者-9%的降幅,则略差于本已负增长的市场平均水平。 这种趋势背后的原因出人意料:AI工具正在赋予高层领导独立验证想法和制作原型的能力,从而减少了他们对庞大执行团队的依赖。例如,一个产品副总裁如果能使用像Cursor或Claude这样的工具快速搭建一个可行的产品原型或验证技术方案,他自然不再需要那么多向他汇报的基层员工。 4.0 发现三:意想不到的赢家——AI工程师和……网红营销专员? 飙升的赢家:AI基建与网红营销 首先,与AI相关的基础设施岗位出现了爆炸式增长。机器学习工程师是增长最快的岗位,招聘数量激增40%。相关的机器人工程师(+11%)和数据中心工程师(+9%)的需求也十分旺盛。这表明企业正在积极构建和部署AI能力。 然而,一个更令人意外的赢家是网红营销专员,其岗位数量跃升了18.3%。 最主要的原因是:网红营销已经能够通过复杂的追踪、归因模型和实际的投资回报率(ROI)测量来证明其价值。品牌方可以清楚地看到哪些创作者的合作正在推动销售。 此外,还有一个与AI相关的次要理论:随着AI生成的海量内容淹没互联网,人们对传统渠道的信任正在瓦解。在这种环境下,被视为真实、可信声音的影响者(influencer)变得空前重要。 Schaefer Marketing Solutions的执行董事Mark Schaefer对此评论道: “人们对企业和广告的信任度持续下滑,但我们信任彼此——我们的朋友和家人。影响者不仅仅是推销产品的年轻人,他们被视为值得信赖的线上朋友,这对品牌来说是一种强大的连接和利用的声音。” Sparktoro的创始人Rand Fishkin也补充道: “数字营销岗位近几年来一直处境艰难……其中为数不多的亮点之一就是‘零点击营销’(即在人们关注的地方影响他们,而不必刻意引流)的兴起。毫不奇怪,拥抱这一理念的创作者/影响者营销专员是少数仍在增长的类别之一。” 5.0 发现四:传言有误——那些AI(还)没有取代的工作 被过度预测的消亡:客服与软件工程师的韧性 两类曾被广泛预测将被AI淘汰的岗位,展现出了惊人的韧性。 第一类是客户服务代表。该岗位的降幅仅为4.0%,远优于-8%的市场平均水平。原因是AI聊天机器人虽然能处理简单查询,但在需要同理心、判断力和复杂问题解决能力的场景中则完全失败。当客户感到愤怒或困惑时,他们需要的是一个能理解其情绪的人,而不是一个只会背诵脚本的机器人。 第二类是软件工程师。尽管AI编码助手层出不穷,软件工程岗位的需求依然稳定。这表明,这些工具正在使工程师变得效率更高,而不是变得多余。AI帮助他们更快地交付功能、解决更复杂的问题,而不是取代他们。 6.0 发现五:现实核查——并非所有岗位减少都与AI有关 现实核查:与AI无关的暴跌 一个关键的背景是:一些跌幅最严重的岗位与AI毫无关系。数据显示,企业合规专员(-29%)、可持续发展专员(-28%)和环境技术员(-26%)的岗位数量急剧下降。与-8%的市场平均水平相比,这些降幅触目惊心。 这一下滑并非由自动化驱动,而是与美国政府法规和执法力度的变化直接相关。当政府放松对某些领域的监管时,企业对相关合规人员的需求自然会减少。并且,这种趋势是系统性的,冲击了整个职位层级,例如,首席合规官的岗位数量下降了37%。 一个有力的反例是,贸易合规专员的岗位数量反而增长了18%,这清晰地表明了监管重点如何直接影响就业市场的需求。 7.0 结论:一场“大分化” 总而言之,AI对就业市场的影响并非简单的“替代”,而是一场在各个领域发生的“大分化”(bifurcation)。 电脑图形艺术家、作家和摄影师等岗位可能正面临长期性的衰退。然而,我们看到分化无处不在:创意领域分化为战略(坚挺)与执行(下降);领导层与个人贡献者之间的需求差距正在拉大;营销领域分化为自动化内容与建立信任的网红营销;甚至在技术领域内部,后端复杂性依然被高度重视,而前端工作则变得更加商品化。 随着AI的不断发展,你将如何将自己定位在这些分界的哪一边?
    job market
    2025年11月04日
  • job market
    LinkedIn推出AI招聘助手:重新定义未来招聘流程 LinkedIn Enters AI Agent Race With LinkedIn Hiring Assistant LinkedIn推出了首个AI Agent : Hiring Assistant,旨在帮助招聘人员重新成为招聘人员。 LinkedIn于本周推出了全新的AI招聘助手,这款工具旨在自动化招聘过程中高达80%的工作,特别是候选人筛选和招聘前的步骤。通过与LinkedIn平台的无缝集成,这款助手不仅提高了招聘人员的工作效率,也显著提升了候选人的质量。该工具的“体验记忆”和“项目记忆”功能,可以记录招聘人员的搜索和操作习惯,并将所有与招聘项目相关的信息进行整合,从而智能化地优化招聘流程。 这款助手已经在西门子、Canva等公司的招聘流程中得到了应用,这些公司报告称,通过LinkedIn招聘助手,招聘人员的生产力显著提升,候选人质量也得到了极大的改善。招聘前的AI辅助搜索仅需30秒即可完成,而传统的搜索通常需要15分钟。 LinkedIn招聘助手还通过AI驱动的沟通功能改善了候选人的体验。数据显示,使用AI辅助发送的招聘信息的接受率提高了44%,接受速度也加快了11%。此外,AI搜索的候选人接受率高出18%。 随着越来越多的公司采用AI技术,招聘与候选人之间的竞争日益加剧。求职者也在利用AI工具优化简历,甚至在面试中使用AI辅助表现,从而使HR在筛选候选人时面临更多挑战。因此,LinkedIn招聘助手等工具正成为招聘人员不可或缺的助手。 LinkedIn招聘助手不仅仅是提高效率的工具,它真正的价值在于解放招聘人员,使他们能够专注于与候选人和招聘经理的对话,改善雇主品牌,并更好地了解就业市场。这种转变反映了人才获取的战略性转变——从执行角色转变为人才顾问,帮助公司更好地实现增长。 详细请看Josh Bersin 写的这篇介绍 As I discussed in the article Digital Twins, Digital Employees, Agents Everywhere, tech vendors are creating AI-powered Agents as fast as they can. And in HR, where we deal with hundreds of mundane checklist-types of processes, the opportunity for automation is everywhere. This week, just as Microsoft launched a tools to help companies build Agents in Copilot, LinkedIn announced its Hiring Assistant. And this is a pretty amazing product. The Hiring Assistant is the first highly-integrated agent I’ve seen that fits right into the LinkedIn workflow. And the companies using it now (Siemens, Canva, AMS) are seeing recruiter productivity and candidate quality skyrocket. Here’s how to think about it: consider a schematic of the recruitment workflow. As you can see, there are more than 30 steps to complete, and this doesn’t even include background checking, offer-letter generation, benefits discussions, pre-boarding, and onboarding. With this brand new Assistant LinkedIn believes they can automate almost 80% of this pre-offer workflow. And the LinkedIn Hiring Assistant is just getting started. Here are some screenshots of the workflow: As you can see, the agent prompts the recruiter with intelligent responses and questions along the way. And throughout the process it stores more and more information to get smarter and smarter. This Is A Sophisticated Product This is a well-engineered product. Not only does it include many subtle features (ie. “find me a candidate like Joe,” which brings in Joe’s profile and analyzes Joe’s role, skills, and experience), it includes several platform innovations. The first is something LinkedIn calls “Experiential Memory,” storing the recruiter’s search and activity history for future work. The Hiring Assistant learns what this recruiter is doing, how they communicate, and how they operate, to tune its results to each recruiter’s needs (ie. a tech recruiter vs. an executive recruiter). Second is a feature called “Project Memory,” which brings together all the information about a single search project. This means the candidate selection criteria, emails, and input from hiring managers are stored in the project, enabling the assistant to see the whole experience of selection. Recruiters understand this challenge: every hire and every hiring manager is different, and each project has unique and sometimes new requirements which have nothing to do with the job description. Other Agents Will Have To Take Notice LinkedIn is not the first mover in this space, but the company’s credibility will accelerate the market. Paradox, the current leader in recruitment automation, has been automating high-volume recruiting for almost a decade and offers an agent that not only helps recruiters but also supports job seekers. It isn’t focused on sourcing liked LinkedIn, but it automates the rest of the process (candidate inquiries, interview scheduling, assessment, onboarding). And it really works: this week Chipotle announced that Paradox’s solution reduces time to hire by 75%, making it a central part of the company’s growth strategy. LinkedIn Hiring Assistant is receiving similar accolades. “Doing a normal search before AI took upwards of 15 minutes. Now, with AI-Assisted Search, it takes about 30 seconds to get results. The time saved is tremendous. It is so much more convenient and easier doing it this way,” said Victoria Östryd Söderlind, Senior Recruitment Specialist, Toyota Material Handling Europe.  “The AI features on LinkedIn have allowed our recruiters to do more, to be better and to grow faster in all of our activities. It’s about spending time in the right places where our time is more valuable and LinkedIn’s AI features have enabled us to do that. What it’s not doing is removing great conversations with candidates, stopping our ability to ask them questions or getting to know candidates as people and humans,” said Olivia Brown, Head of Talent Acquisition, Octopus Energy. Improving Candidate Experience While LinkedIn talks about the value to HR, the bigger value may be for candidates. The company found that AI-Assisted outreach messages generate a 44% higher acceptance rate and are accepted 11% faster by job seekers. And AI-based searches produce 18% higher candidate acceptance. As Paradox has discovered, candidates don’t like to waste time scheduling calls with recruiters if they can avoid it. And that leads to another important issue. There is now a growing AI battle between recruiter and candidates. AS AI helps recruiters source and screen candidates, the candidates are using AI to “power-up” their resumes. One of our clients told me that almost all their job applicants now submit resumes that look eerily similar to job descriptions. Why? Job candidates are using AI also! This means is that tools like LinkedIn Hiring Assistant are more essential than ever. As job seekers tweak their identity and even use AI interview assessments to game interviews, HR has to beef up its tools to better differentiate candidates. Liberating Recruiters To Recruit And Advise The big story is actually this: while Hiring Assistant is an efficiency tool, what it really does is free up recruiters to talk to candidates. Recruiters who are bogged down with drudgery can talk with hiring managers, improve employment brand, and get to know candidates and the job market better. This is part of what we call Systemic HR: moving talent acquisition away from the “fulfillment center” role to that of a talent advisor, helping the company think about its best ways to grow. As you look at these tools and think about automation, I encourage you to read our new research on the strategic shift in talent acquisition. Automation is not just about productivity and cost savings: it’s really about liberating our minds to think and add value in new and exciting ways.
    job market
    2024年10月29日
  • job market
    Public Insight Releases Fall Update of TalentView Solution Public Insight, a leading provider of talent management solutions, has announced the release of its Fall update for the TalentView solution. This update brings new features and enhancements designed to further support organizations in managing their talent effectively. Zip Code Analysis, LinkedIn® Data, Shift and Benefit Reporting Provide Hyper-Targeted Talent Intelligence for Recruiting and Business Development (Akron, OH) Dec. 21,2023  Public Insight announces the fall release of its TalentView job market data and analytics solution. New features and capabilities such as zip code analysis and 3D mapping, LinkedIn organizational data, and shift and benefit reporting provide a unique level of hyper-targeted talent market intelligence for recruiting and business development. Granular analysis is available for over 160 talent market metrics. The number of organizations available in employer analysis and benchmarking has increased from 400,000 to 1.7 million. TalentView insights inform and justify recruiting decisions and influence hiring manager discussions. Use cases for identifying prospective companies to target, expanding product/service offerings, benchmarking, competitive intelligence and content development support business development strategies. Key Feature Highlights of the Fall Update of TalentView Zip Code Analysis and 3D Mapping – Job postings can now be analyzed at the zip code level generating more targeted regional insights for posting volume, turnover, supply and demand, and compensation. Job postings were previously analyzed at the metro (CBSA) level. This level of targeting will help inform sourcing strategies and improve ability to fill jobs. 3D mapping provides a quick, visual way to understand posting activity by specific locations. In the example below, nurse posting volumes and reposting rates in CA are analyzed over time. LinkedIn Organization Data – The addition of LinkedIn data increases the number of organizations in TalentView reporting to 1.7 million. Indeed® and Glassdoor® company data for postings and reviews/ratings has been mapped to LinkedIn organizations. These organizations cover 95% of job posting activity in the U.S. In addition to the posting volume, supply and demand, time-to-fill and compensation analysis available by employer in TalentView, LinkedIn data provides more volume, depth and details to employer analysis. This enhances the ability to do targeted employer selection, analysis and benchmarking. Organizational reporting now includes specialty tags, multiple locations, LinkedIn follower counts and more. Reports include LinkedIn profile and company website links. Employer Analysis Use Cases TalentView insights have several use cases for sales, account management, recruiting, benchmarking, competitive intelligence and content development: Target prospective companies by company size, type and location for business development Add insights to expand product/service offering and increase revenue Justify recruiting decisions and prepare for hiring manager discussions Share client/competitor/market insights and trends with clients Utilize employer insights as content for recruitment marketing and social media Benchmark employer job/talent market KPIs over time and against competitors and the industry (including employer brand and DEI ratings) Utilize employer, competitor and industry benchmarks to supplement HR/Executive reporting Utilize employer, competitor and industry benchmark in new business pitches Analyze who and where competitors are hiring to understand their growth strategies and direction Shift and Benefit Reporting – Analysis and reports for job posting volumes, supply/demand and compensation can be created at the shift, schedule and benefit category levels. This capability is beneficial for companies and solution providers that recruit candidates that work in job shifts or schedules, such as those in healthcare, manufacturing and transportation. Benefits reporting provides a more holistic understanding of competitive job postings and trends related to new benefit offerings. In the example below, nurses’ compensation is analyzed by shift over time. Ad Indicators – Advertising indicators from Indeed job postings are now captured and analyzed. These include: Sponsored Ad, Quick Apply and Fair Chance Job. Sponsored ads can help identify which companies have job titles that may need to be filled more quickly and have budget to spend on filling them. Quick Apply jobs may indicate a company doesn’t have an ATS or may need recruitment marketing services. Fair Chance Jobs could be a competitive advantage for companies recruiting alternative sources of candidates and it is helpful to see these trends over time. Integrated KPI Reporting – Analyze over 160 KPI metrics easily and quickly using the new visualization with integrated tables and KPI metrics. In the example below, registered nurse posting volumes, reposting rates, compensation, and urgency rates are analyzed over time by simply clicking on the table row. “This release enables our most targeted and granular level of analysis yet to report on 160 talent market metrics,” explains Dan Quigg, Public Insight Chief Executive Officer. “Several new features were customer driven, which is yet another indicator of market demand for hyper-targeted talent market intelligence for decision making,” adds Quigg. About TalentView TalentView integrates and transforms jobs, talent and labor market data from Indeed®, Glassdoor®, LinkedIn® and government agency publications into strategic insights. Hyper-targeted market intelligence helps solution providers with business development and practitioners to inform and justify recruiting decisions. TalentView market insights are provided via reports and dashboards in our analytics platform and data integration with third party applications. SOURCE Public Insight
    job market
    2024年01月10日