根据高盛集团（Goldman Sachs Group Inc.）的凯文·斯尼德（Kevin Sneader）的说法，金融领域的新入职员工无需再等待数年才能成为经理。他们从入职起就将负责管理人工智能智能体，这引发了关于现任中层管理者未来去向的疑问。
The newest hires in finance won’t have to wait years to become managers. They’ll be overseeing artificial intelligence agents from the time they join, raising the question of what happens to the current middle managers, according to Goldman Sachs Group Inc.’s Kevin Sneader.
斯尼德负责高盛在日本以外的亚太地区业务。他周四在新加坡举行的米尔肯研究所亚洲峰会上表示：“当我们的年轻人现在开始工作时，他们管理的是智能体。他们必须充分利用这支他们现在拥有的虚拟军队。”他补充道，以往几代人往往需要在岗位上工作数年才能开始管理他人，而重新部署这些管理者将是“许多、许多领域面临的代际挑战”。
“When our young folks now start work, they’re managing agents,” Sneader, who leads the Wall Street bank’s business in Asia Pacific outside Japan, said Thursday at the Milken Institute Asia Summit in Singapore. “They have to make the most of this virtual army that they’ve now got.”Previous generations often spent years in the job before they got to manage anyone, and re-deploying these managers will be the “generational challenge for many, many segments,” he added.
他的言论表明，人工智能可能会颠覆传统的银行业职业路径。在传统路径中，初级员工需要花费数年时间从事分析和准备工作，然后才能晋升去管理他人。斯尼德和其他在关于人工智能与金融的专家小组中发言的人，关注的重点并非因技术导致的大规模失业，而是角色将如何被重塑。
His comments suggest AI could upend the traditional banking career path, where junior staff spend years on analysis and preparatory work before moving up to manage others. Rather than fretting about mass job losses due to the technology, Sneader and others speaking on a panel about AI and finance were focused on how roles would be reshaped.
斯尼德说：“管理任务不再由中层管理者承担，而是由一线员工承担。我们尚不清楚这一群体将会发生什么变化。”投资公司克莱顿、杜比利尔与赖斯（Clayton, Dubilier & Rice）的运营合伙人桑德拉·彼得森（Sandra Peterson）表示，传统的职业阶梯可能无法存续。她说：“过去，专业服务公司是金字塔结构。你入职后，一路晋升，如果你能挺过来，就能升到下一级，再下一级，再下一级。”她指出，由于人工智能承担了大量基础性工作，企业是否还需要如此多的入门级职位尚不明确。
“That management task no longer sits with the middle manager; it sits with the front line,” Sneader said. “We don’t quite know what’s going to happen to that group.”Sandra Peterson, an operating partner at investment firm Clayton, Dubilier & Rice, said the traditional career ladder may not survive. “It used to be that professional service firms were pyramids,” she said. “You’d show up, and you know, you march your way through, and if you survived, you got to the next level, the next level, the next level.”She said that with AI doing much of the grunt work, it isn’t clear firms would need as many entry level positions.
新加坡的金融监管机构也看到了同样的转变。新加坡金融管理局董事总经理Chia Der Jiun在同一场小组讨论中表示，运营人员将需要转型为人工智能代理人的管理者与监督者。他还指出，银行在分析和准备工作方面将需要更少的应届毕业生。
Singapore’s financial regulator sees the same shifts happening. Operations staff will need to become managers and supervisors of AI agents, Chia Der Jiun, managing director of the Monetary Authority of Singapore, said at the same panel. Banks will also need fewer fresh graduates for analysis and preparatory work, he said.
Chia表示，这个城市国家已通过培训银行员工掌握人工智能技能，并与大学合作确保毕业生能够适应这个新世界，为这些变化做好了准备。
The city-state has been preparing for these changes through training bank staff in AI skills as well as working with the universities to ensure its graduates are ready for the new world, Chia said.
不过，Sneader表示，对于年轻人而言，新加坡金融企业计划培训8万名员工掌握人工智能技能所带来的好处，并不仅限于获得金融领域的工作机会。“现在正是创业创造新事物的最佳时机，”他说，并指出如今创业所需的资源更少。“当我们所有人都可能花太多时间担忧旧世界时，这恰恰是未来令人兴奋的一面。”
Singapore’s Finance Firms to Train 80,000 Staff in AI Skills For young people however, Sneader said the upside goes beyond angling for a finance job. “There’s never been a better time to be an entrepreneur to create something,” he said, noting that fewer resources are needed to start a business nowadays. “That’s quite an exciting part of the future when we’re all spending too much time, perhaps worrying about the old world.