请注意，有意向的申请者：Google DeepMind 想要招聘的研究生候选人，并非仅由其学位来定义。在 9 月的一次媒体午餐会上，Google DeepMind 首席 AI 就绪官 Lila Ibrahim 表示，该公司越来越倾向于寻找能够展示课堂之外学习记录的候选人。无论是研究人员、工程师还是其他职位，学位仍然重要，她说，但招聘时更加看重候选人简历上的额外资历和经验。
Pay attention, prospective applicants: The graduate candidates Google DeepMind wants to hire are not defined by their degree alone. At a media lunch in September, Lila Ibrahim, Google DeepMind's chief AI readiness officer, said that the firm is increasingly looking for candidates who can show a record of learning beyond the classroom. Whether it's researchers, engineers, or other roles, degrees still matter, she said, but there's been a shift toward placing greater weight on the extra credentials and experience on a candidate's résumé.
“一项资历只能告诉我你学到了什么，但多项资历能告诉我你拥有学习型思维，”Ibrahim 说。她表示，如今的毕业生往往会在简历上，除了工作和教育经历外，更详细地展示他们在正规学习环境之外学习了什么。“我看一些应届毕业生的简历和 CV，会想，‘哇，这和我那一代人做的完全不同。’”她表示，这些额外的细节对 Google DeepMind 的招聘人员很重要，因为它们能揭示候选人是否好奇，以及是否“预设为终身学习的生活”。
"One credential will tell me what you've learned, but multiple credentials tell me that you have a learning mindset," said Ibrahim. Today's graduates often showcase more detail about what they have studied outside a formal learning environment on their résumés, alongside their job and education history, she said. "I look at some of the new college grad résumés and CVs right now, and I'm like, 'Oh wow, this is so different from what I did in my generation.'" That additional detail matters to recruiters at Google DeepMind because it can reveal whether a candidate is curious and "preset to a life of lifelong learning," she said.
Ibrahim 说，她认为多元化学习经历的另一个好处是，人们能变得更善于提问——她认为这是 AI 驱动的工作场所中一项宝贵的能力，但她表示学校并没有很好地教授这项技能。“你会意识到，学校里的很多人不一定被教过如何提问、如何提好问题，以及如何真正追问为什么。”她补充说，即使某人在技术上精通 AI，这些人类技能也很重要。
Ibrahim said she believes another benefit of diverse learning experiences is that people can become better at asking questions — a capability she sees as valuable in an AI-powered workplace, but one she said isn't taught well in schools. "You realize that a lot of people in school haven't necessarily been taught how to ask questions, how to ask good questions, and how to really question why." These human skills matter even if someone is technically skilled with AI, she added.
“如今获取答案的成本极低，但真正懂得如何提出高质量问题却变得越来越难。”伊布拉欣将 Google DeepMind 对申请者的标准概括为：“好奇心、敢于挑战完全陌生且不可预测事物的勇气，以及在动态环境中工作并能与他人协作的能力。”
"Getting answers is super cheap these days, but actually knowing how to ask really good questions is getting harder and harder." Ibrahim summed up DeepMind's criteria for applicants as: "Curiosity, courage to take on something completely new that is unpredictable, and the ability to work in a dynamic environment and to be able to collaborate with people."
伊布拉欣曾任 Google DeepMind 首席运营官，自 2018 年起担任该职务。2026 年初，她成为首席 AI 就绪官，她表示这是她创设的一个职位，旨在帮助缩小正在构建的技术与社会接纳技术的准备程度之间日益扩大的差距。Google DeepMind 创始人德米斯·哈萨比斯一直是前沿 AI 高管中的一员，他们警告称，社会为迎接技术的下一阶段做准备的时间窗口很窄。
Ibrahim was formerly Google DeepMind's chief operating officer, a role she had held since 2018. At the beginning of 2026, she became chief AI readiness officer, a role she said she created to help address a widening gap between the technology being built and society's readiness to receive it. Google DeepMind's founder, Demis Hassabis, has been among the frontier AI executives warning that society has a narrow window to prepare for the next stage of the technology.
哈萨比斯曾表示，STEM（科学、技术、工程和数学）及计算机科学学习依然重要，但 AI 领域也需要人文学科，如哲学、经济学和伦理学。“我认为在我们即将步入的世界里，我们真的需要它们，”他在 7 月于伦敦举行的一次商业会议采访中说道。
Hassabis has said that STEM and computer science studies remain important, but the AI world also requires the humanities, such as philosophy, economics, and ethics. "I think we really need them in the world we're about to enter," he said during an interview at a London business conference in July.
伊布拉欣说，Google DeepMind 寻找的是能够与他人良好协作的跨学科人才。她表示，让“神经科学家、伦理学家和生物学家”并肩工作，极大地推动了 DeepMind 的一些技术突破。该实验室聘用了许多哲学家，她补充道，“你需要让他们与执行者搭档，将那些想法转化为行动。”
What Google DeepMind looks for is interdisciplinary people who can collaborate well with others, said Ibrahim. Having "the neuroscientist, alongside the ethicist, alongside the biologist," has massively helped with some of DeepMind's technical breakthroughs, she said. The lab has hired numerous philosophers, she said, adding that "you need to pair them with operators to turn those ideas into action."
伊布拉欣表示，到目前为止，在英国寻找这些技能并非难事。“与我在硅谷度过的 30 多年相比，我看到的是更多元化的人才，因为这里对哲学和政治科学等学科有着强烈的重视，也重视其他一些技能。”
So far, it hasn't been a challenge to find those skills in the UK, said Ibrahim. "Compared to my time in Silicon Valley over 30 years, what I have seen is more diverse talent because there is a strong appreciation toward philosophy and political science, and some of these other skills."
随着 AI 渗透进日常职场，人们对 AI 导致失业的担忧已有所缓解。
As AI has seeped into the everyday workplace, fears of AI-related job loss have somewhat abated.
与其说 AI 正在取代工作，不如说它正在改变工作，现在的压力落在了员工和人力资源部门身上，要求他们开发出恰当的“人类”技能与 AI 技能组合。一项针对 Coursera 和 Udemy 上 3 亿多名注册学习者的最新研究发现，企业部署 AI 的速度已超过了人们掌握有效使用该技能的速度。虽然近 75% 的组织已部署或正在试点该技术，但只有 18% 报告称，其大部分员工在过去一年参与了 AI 技能提升或再培训。
Rather than taking jobs, AI is changing them, and the pressure is now on workers and HR departments to develop the right combination of "human" and AI skills. A recent study of more than 300 million registered learners on Coursera and Udemy found that companies' AI deployment is outpacing the skills people need to use it effectively. While nearly 75% of organizations have deployed or are piloting the technology, only 18% reported that most of their workforce participated in AI upskilling or reskilling over the last year.