• resume optimization
    在线招聘市场“死亡”了,美国求职者何去何从? 在过去40多年里,求职方式经历了从纸质简历与面对面投递到完全线上化的巨大转变。然而,最新数据和市场趋势显示,这一被认为高效便捷的“在线求职”体系,正在失去效果,甚至成为求职者与用人单位之间的“高墙”。 从SAP到AI:招聘流程的全面自动化 早在1981年,德国SAP公司在信息技术展上展示了其R2软件,让企业首次能够用电脑管理简历、人事与招聘申请。这一创新开启了在线招聘的序幕。进入90年代,Monster、CareerBuilder等在线招聘网站取代了线下投递,使求职可以跨地域进行,但也让单个岗位收到的申请量激增。为应对庞大简历量,Taleo、iCIMS、Jobvite等申请人追踪系统(ATS)迅速普及,实现了简历解析、候选人排名等功能。 到2010年代,ATS全面上云,并与LinkedIn、Indeed等平台整合。到2020年,越来越多企业将ATS与CRM、AI结合,自动完成候选人筛选、沟通及面试安排——许多情况下,人力资源部门直到面试当天才首次看到候选人简历。 数字背后的真相:0.19%的成功率 尽管看似高效,这一体系对求职者极不友好。视频引用的2025年3月数据显示: 美国有 720万个职位空缺,其中 540万 成功招到人; 仅有 约1/3 的岗位通过Indeed、LinkedIn等公共在线招聘平台完成招聘; 平均只有 3% 的申请者能获得面试机会,而面试者中约 48% 最终获聘; 美国每月约有 2000万求职者,平均每人投递50份简历,总申请量高达 10亿份; 计算可得,通过公共招聘网站投递一份简历获得录用的概率仅 0.19%(约514份简历才能换来一次录用)。 这一低成功率还被大量“无效申请”进一步稀释,包括无资质的盲目投递,以及利用浏览器插件自动批量投递的“简历机器人”,造成ATS与自动化拒信的“机器人对机器人”循环。 三条可能出路 全面拥抱AI与ATS优化通过关键词堆砌、简历格式匹配等手段适应AI筛选。但现实中,大量求职者缺乏技术与自我营销能力;同时,ATS易放大偏见,如亚马逊旧系统曾因简历含“女性”而自动降分,Workday也正面临歧视诉讼。 技术监管通过立法限制招聘算法的偏见与不透明性。然而,美国缺乏有效的科技监管传统,短期内难以落地。 “人性化”招聘回归越来越多企业回到以人为核心的招聘模式——职业招聘会、校园招聘、行业展会、招聘专员直聘、试用期招聘、实习转正等。这些渠道构成所谓的“隐性就业市场”,成功率远高于在线投递。 求职者的现实策略 主动联系招聘专员:通过LinkedIn搜索“Recruiter”或“Talent Acquisition”,直联表达兴趣,并在申请后跟进,避免简历被ATS直接淘汰。 利用招聘会与校园渠道:91%的美国公司通过职业招聘会招录全职应届岗位,尤其是对需要学历或技能证书的行业。 州级就业服务:尤其适合非学生与偏远地区居民,提供职位信息、简历辅导、职业培训、心理支持等,且由纳税人资金支持。 参与实习项目:多数实习已转为有薪,即便不满足全部要求也应申请,因为企业往往聘用条件与招聘描述不完全一致。 在AI与ATS主导的招聘时代,单纯依赖在线求职平台已难以打开职场大门。2025年的美国求职者若想突破0.19%的“冰点成功率”,必须转向更具人际互动和目标针对性的渠道——主动出击、建立关系网络,才有机会在这个充满自动化与竞争的市场中脱颖而出。
    resume optimization
    2025年08月12日
  • resume optimization
    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.
    resume optimization
    2024年10月29日