
AI最擅长的都是没人愿意做的工作。在财务领域,这恰恰成了问题所在。
数十年来,初级会计师都是通过对账、手工录入数据以及月末结账等烦琐工作学习专业技能。任务枯燥乏味,却能帮他们理解财务运作机制。如今,大部分工作可以自动化,然而未来财务主管培养过程中也缺失了至关重要的培养环节。
“入门级岗位和过去完全不一样,我很担心新一代财务管控负责人、财务总监乃至首席财务官如何成长,”总部位于伦敦的支付公司GoCardless首席财务官凯瑟琳·伯基特表示。她认为,只有理解数据逻辑,财务专业人员才能更好地利用AI工具,而理解往往需要在初级财务岗位上积累。
“一年前,财务主管们还不确定AI会带来什么改变。如今每个人都在用AI,”高管猎头公司Odgers董事会与首席财务官业务负责人马克·弗里伯恩表示。他预测AI最终将推动大部分会计工作自动化,并补充道:“就算现在还没有完全替代,将来也会。”
菱形架构的财务部门
随着自动化应用不断增加,入门级财务岗位的数量逐渐缩减。去年普华永道在英国招聘的初级员工减少了200人,智库奥纬论坛(Oliver Wyman Forum)与纽约证券交易所联合调查的近三分之二首席财务官预计,未来三年初级岗位在财务团队中的占比将进一步下降。
“入门级财务岗位确实会减少,”伯基特表示。“能力出众的候选人才能找到工作,而且和30年前的会计师形象截然不同,”她补充道。
企业削减财务部门初级招聘人数,传统金字塔人才结构正发生变化。弗里伯恩指出,很多公司正转向“菱形”结构,即中级财务人员增多而基层新人减少。这给行业带来了新问题。
“如果需要一百名经理却只招两名新人,等经理退休时只有两个人可以接替,到时怎么办?”他问道。通常的解决办法是从竞争对手挖人。“如果所有公司都改成菱形人才架构,”弗里伯恩补充道,“到最后就没人可挖。”
“还没人找到解决方案,”伯基特补充说,四大会计师事务所每年招聘数千名毕业生,想必也在为同样的问题苦恼。
人才储备渠道的新人变少,未来企业可选的首席财务官候选人可能大幅收窄,而董事会招聘该职位已然面临挑战。近来首席执行官离职率创下历史新高,很多企业尚未准备好。罗盛咨询(Russell Reynolds)《2025年全球首席财务官离职率指数报告》显示,仅有16%的财务负责人表示公司主动制定了继任培养计划。
招聘集团德科集团(Adecco)总裁克里斯托夫·卡图瓦警告称,经验丰富的专业人士不应“过河拆桥”。他表示,没有行业人脉,也没有条件承担无薪实习的年轻人受冲击最严重。财务领域多元化的进展可能因此受阻。“技术进步本该用于帮助劳动者,而不是变成社会流动的又一道障碍。”
不够,并非所有财务公司都在削减初级员工人数。阿姆斯特丹数字银行Bunq首席财务官布莱恩·斯帕恩斯仍在招聘应届毕业生,还将AI看作“培养更优秀财务专业人员的机会”。他表示,机器处理重复性工作后,毕业生可以更早开展分析工作。
改写面试方式
AI在财务部门日益普及,也在影响企业招聘初级人才时评估的技能。
以前在最后一轮测试中, GoCardless初级财务候选人会拿到一份数据集和Excel表格。现在,伯基特会向候选人提供AI模型,要求分析数据并制作演示文稿,考察核心是观察候选人是采信AI给出的第一版答案,还是会推动AI深入挖掘。“财务工作最糟糕的情况就是盲信现成结论,”她表示。
卡图瓦警告说,不要假设数字原住民天然擅长与AI协作。“熟悉技术并不一定意味着懂得如何有效使用,”他表示。
弗里伯恩认为,AI普及反而对专业技术提出更高要求。“AI时代,专业能力将比以往更加重要,”他表示,“机器出错的时候,总得有人能发现。”
GoCardless招聘毕业生不限专业,不过鼓励员工考取会计师资格,还报销考试费用。
Bunq更进一步,完全放弃简历筛选。申请人必须经历七步流程,包括性格测试和抽象推理测试。通过的候选人将获邀到银行办公室参与一日考核,接受银行法规、AI应用以及构建计算模型能力的测试。
斯帕恩斯表示,公司重点考察候选人能否找到完成任务所需的信息并正确应用。他手下一名初级合规专员之前的工作是销售数据分析。“如果以传统方式筛选简历,可能根本不会给机会,”他表示,“现在招聘不看过去的经历,而是看思维方式。”
学习技能
招聘只是难题的一半。专业知识可以教授和考核,弗里伯恩最看重的技能,例如影响力、说服力和谈判能力却很难通过授课习得。“如果没有基层实操岗位,如何培养相关能力?有些经验只能来自亲身参与,例如与采购总监争论备货品类,经历犯错,而后逐渐进步。”
AI夺走初级会计师磨练实际技能的不少机会,伯基特表示:“有个事实必须接受,即初级员工需要更长时间才能证明自己。”实践中意味着让初级员工旁听会议,观察同事如何深入剖析数据,参与真实业务决策,在不同部门轮岗积累经验,也可能意味着保留一部分手工对账工作。
在Bunq,初级员工仍要完成对账,核对银行记录中的数据,同时记录流程供审计和监管核验。
“如果不理解流程,就没法实现自动化,”斯帕恩斯表示,“AI可以提速,但理解业务的必要性不会消失。恰恰相反,门槛变得更高,因为AI输出结果更快,判断是否正确的责任明确落在使用者的身上。”
斯帕恩斯认为公司培养新员工的方式行之有效。Bunq财务和资金团队的员工平均留存三到四年。“行业里初级员工流动率高已成普遍问题,公司留存率说明员工愿意留下来成长,”他补充道。
Bunq凭借这套招聘和培训方法,搭建了稳固的财务人才梯队。而尚未找到解决方案,或单纯削减初级岗位的公司,寻找新一任首席财务官时可能面临巨大困境。(财富中文网)
译者:梁宇
审校:夏林
AI最擅长的都是没人愿意做的工作。在财务领域,这恰恰成了问题所在。
数十年来,初级会计师都是通过对账、手工录入数据以及月末结账等烦琐工作学习专业技能。任务枯燥乏味,却能帮他们理解财务运作机制。如今,大部分工作可以自动化,然而未来财务主管培养过程中也缺失了至关重要的培养环节。
“入门级岗位和过去完全不一样,我很担心新一代财务管控负责人、财务总监乃至首席财务官如何成长,”总部位于伦敦的支付公司GoCardless首席财务官凯瑟琳·伯基特表示。她认为,只有理解数据逻辑,财务专业人员才能更好地利用AI工具,而理解往往需要在初级财务岗位上积累。
“一年前,财务主管们还不确定AI会带来什么改变。如今每个人都在用AI,”高管猎头公司Odgers董事会与首席财务官业务负责人马克·弗里伯恩表示。他预测AI最终将推动大部分会计工作自动化,并补充道:“就算现在还没有完全替代,将来也会。”
菱形架构的财务部门
随着自动化应用不断增加,入门级财务岗位的数量逐渐缩减。去年普华永道在英国招聘的初级员工减少了200人,智库奥纬论坛(Oliver Wyman Forum)与纽约证券交易所联合调查的近三分之二首席财务官预计,未来三年初级岗位在财务团队中的占比将进一步下降。
“入门级财务岗位确实会减少,”伯基特表示。“能力出众的候选人才能找到工作,而且和30年前的会计师形象截然不同,”她补充道。
企业削减财务部门初级招聘人数,传统金字塔人才结构正发生变化。弗里伯恩指出,很多公司正转向“菱形”结构,即中级财务人员增多而基层新人减少。这给行业带来了新问题。
“如果需要一百名经理却只招两名新人,等经理退休时只有两个人可以接替,到时怎么办?”他问道。通常的解决办法是从竞争对手挖人。“如果所有公司都改成菱形人才架构,”弗里伯恩补充道,“到最后就没人可挖。”
“还没人找到解决方案,”伯基特补充说,四大会计师事务所每年招聘数千名毕业生,想必也在为同样的问题苦恼。
人才储备渠道的新人变少,未来企业可选的首席财务官候选人可能大幅收窄,而董事会招聘该职位已然面临挑战。近来首席执行官离职率创下历史新高,很多企业尚未准备好。罗盛咨询(Russell Reynolds)《2025年全球首席财务官离职率指数报告》显示,仅有16%的财务负责人表示公司主动制定了继任培养计划。
招聘集团德科集团(Adecco)总裁克里斯托夫·卡图瓦警告称,经验丰富的专业人士不应“过河拆桥”。他表示,没有行业人脉,也没有条件承担无薪实习的年轻人受冲击最严重。财务领域多元化的进展可能因此受阻。“技术进步本该用于帮助劳动者,而不是变成社会流动的又一道障碍。”
不够,并非所有财务公司都在削减初级员工人数。阿姆斯特丹数字银行Bunq首席财务官布莱恩·斯帕恩斯仍在招聘应届毕业生,还将AI看作“培养更优秀财务专业人员的机会”。他表示,机器处理重复性工作后,毕业生可以更早开展分析工作。
改写面试方式
AI在财务部门日益普及,也在影响企业招聘初级人才时评估的技能。
以前在最后一轮测试中, GoCardless初级财务候选人会拿到一份数据集和Excel表格。现在,伯基特会向候选人提供AI模型,要求分析数据并制作演示文稿,考察核心是观察候选人是采信AI给出的第一版答案,还是会推动AI深入挖掘。“财务工作最糟糕的情况就是盲信现成结论,”她表示。
卡图瓦警告说,不要假设数字原住民天然擅长与AI协作。“熟悉技术并不一定意味着懂得如何有效使用,”他表示。
弗里伯恩认为,AI普及反而对专业技术提出更高要求。“AI时代,专业能力将比以往更加重要,”他表示,“机器出错的时候,总得有人能发现。”
GoCardless招聘毕业生不限专业,不过鼓励员工考取会计师资格,还报销考试费用。
Bunq更进一步,完全放弃简历筛选。申请人必须经历七步流程,包括性格测试和抽象推理测试。通过的候选人将获邀到银行办公室参与一日考核,接受银行法规、AI应用以及构建计算模型能力的测试。
斯帕恩斯表示,公司重点考察候选人能否找到完成任务所需的信息并正确应用。他手下一名初级合规专员之前的工作是销售数据分析。“如果以传统方式筛选简历,可能根本不会给机会,”他表示,“现在招聘不看过去的经历,而是看思维方式。”
学习技能
招聘只是难题的一半。专业知识可以教授和考核,弗里伯恩最看重的技能,例如影响力、说服力和谈判能力却很难通过授课习得。“如果没有基层实操岗位,如何培养相关能力?有些经验只能来自亲身参与,例如与采购总监争论备货品类,经历犯错,而后逐渐进步。”
AI夺走初级会计师磨练实际技能的不少机会,伯基特表示:“有个事实必须接受,即初级员工需要更长时间才能证明自己。”实践中意味着让初级员工旁听会议,观察同事如何深入剖析数据,参与真实业务决策,在不同部门轮岗积累经验,也可能意味着保留一部分手工对账工作。
在Bunq,初级员工仍要完成对账,核对银行记录中的数据,同时记录流程供审计和监管核验。
“如果不理解流程,就没法实现自动化,”斯帕恩斯表示,“AI可以提速,但理解业务的必要性不会消失。恰恰相反,门槛变得更高,因为AI输出结果更快,判断是否正确的责任明确落在使用者的身上。”
斯帕恩斯认为公司培养新员工的方式行之有效。Bunq财务和资金团队的员工平均留存三到四年。“行业里初级员工流动率高已成普遍问题,公司留存率说明员工愿意留下来成长,”他补充道。
Bunq凭借这套招聘和培训方法,搭建了稳固的财务人才梯队。而尚未找到解决方案,或单纯削减初级岗位的公司,寻找新一任首席财务官时可能面临巨大困境。(财富中文网)
译者:梁宇
审校:夏林
The work AI does best is the work nobody wants to do. In finance, that is precisely the problem.
For decades, junior accountants learned their trade by reconciling accounts, manually entering data, and grinding through the month-end close. The tasks were tedious, but they built an understanding of the mechanics of finance. It’s now possible to automate much of that work, but doing so removes a crucial stage of training for future finance chiefs.
“I really do worry how the next generation of controllers, finance directors and, eventually, CFOs will learn when those entry-level jobs are not the same as what they used to be,” says Catherine Birkett, CFO of London-based payments company GoCardless. An understanding of the data can help finance professionals get more out of AI tools, she argues, and this is often developed in junior finance roles.
“A year ago finance chiefs were unsure what difference AI would make. Now every single one of them is using it,” says Mark Freebairn, head of the board and CFO practice at executive search firm Odgers. He predicts that AI could eventually automate much of the accounting function, adding: “If it’s not replacing all of it yet, it will do.”
A diamond-shaped function
As the use of automation increases, the number of entry-level finance roles is shrinking. PwC took on 200 fewer entry-level staff in the U.K. last year, and nearly two-thirds of CFOs surveyed by the Oliver Wyman Forum and the New York Stock Exchange expect junior roles to make up a smaller share of their finance teams over the next three years.
“There are absolutely going to be fewer entry-level finance jobs,” Birkett says. “Those that remain will go to capable candidates who look little like the accountant of 30 years ago,” she adds.
With companies seeking to cut the number of junior hires in the finance function, the traditional pyramid-shape of the function is changing. Many companies are moving to a “diamond-shaped” structure, with more mid-level finance professionals and fewer trainees, according to Freebairn. But this presents new problems for the profession.
“If you want a hundred managers but you only need two trainees, when those managers have retired and you’ve only got two people to replace them with, what are you going to do?” he asks. The usual answer is to poach from rivals. “If you’re all creating diamond management structures,” Freebairn adds, “there won’t be anyone to steal.”
“Nobody’s worked it out yet,” Birkett says, adding that the Big Four audit firms, which hire graduates by the thousand, must be wrestling with the same dilemma.
With fewer trainees at the start of the talent pipeline, organizations are likely to face a thinner shortlist for the CFO seat in the future. This change comes at a time when boards are already facing challenges filling the role. CFO turnover is at a record high and many companies are unprepared for the level of churn—only 16% of finance chiefs say their organization has a proactive succession plan, according to Russell Reynolds’ Global CFO Turnover Index 2025 Report.
Christophe Catoir, president of the recruitment group Adecco, warns against experienced professionals “pulling the drawbridge up after them.” Those hit hardest, he says, will be young people without professional networks or the means to take unpaid work. This may risk undoing progress on diversity in finance. “Technological progress should be used to help the workforce, not become another barrier to social mobility.”
Not all finance firms are cutting junior headcount. Brian Spaans, CFO of Bunq, the Amsterdam-based digital bank, is still hiring graduates and sees AI as “an opportunity to develop better finance professionals.” With machines handling the repetitive work, graduates can start analysis far earlier, he says.
Rewriting the interview
The increased use of AI in the finance function is also impacting the skills that companies assess for when hiring for entry-level talent.
Junior finance candidates at GoCardless used to be given a data set and a copy of Excel as part of the final round of testing. Now Birkett gives candidates an AI model and asks them to analyze the data and build a presentation. The point is to see whether they accept the AI’s first answer or push it to dig deeper. “The absolute worst thing that could happen in finance is that people just accept what they’ve been told,” she says.
Catoir warns against assuming that digital natives will naturally be equipped to work with AI. “Being comfortable with technology does not necessarily mean you understand how to use it effectively,” he says.
For Freebairn, the increased use of AI makes technical expertise even more important. “AI is going to require more technical competence than ever,” he says. “Someone has to know when the machine is wrong.”
GoCardless hires graduates from any discipline but still encourages them to qualify as accountants and pays for the exams.
Bunq has gone further, abandoning CVs altogether. Instead, applicants must complete a seven-step process that includes personality and abstract reasoning tests. Successful candidates will then be invited to spend a day at the bank’s offices where they are tested on banking regulation, their use of AI, and their ability to build calculations.
Spaans says the company is looking to assess whether candidates can find the information they need to complete the tasks and apply it correctly. One of his junior regulatory specialists came from data analysis in sales. “If we had been screening CVs in the traditional way, we probably would not have looked twice,” he says. “We are not hiring for where someone has been. We are hiring for how they think.”
Learning the trade
Hiring is only half the problem. Technical knowledge can be taught and examined but the skills Freebairn values most, such as influencing, persuading, and negotiating, cannot. “How do you create that if you don’t have development jobs? Some lessons only come from being in the room, haggling with a buying director over which T-shirts to stock, getting it wrong and doing better next time.”
With AI taking away some of the opportunities for junior accountants to hone these skills, Birkett says: “We’re going to have to accept that juniors will take longer to earn their keep.” In practice, that means juniors sitting in on meetings to watch colleagues interrogate the numbers, being present when real decisions get made, and gaining experience in different departments. It may also mean continuing to do some reconciliations by hand.
At Bunq, junior staff are still expected to do reconciliations to check the data against the bank’s records and to document the process for auditors and regulators.
“You cannot automate a process you do not understand,” Spaans says. “AI speeds up the work. It does not remove the need to understand it. If anything it raises the bar, because when output arrives faster, ownership of whether it is right lands more squarely on the person who built it.”
Spaans argues the approach is working. Staff in Bunq’s finance and treasury teams stay three to four years on average. “In a field where junior churn is a known problem, that suggests the work feels worth staying for,” he adds.
Bunq’s approach to hiring and training is helping it build a strong pipeline of finance talent. Companies that have yet to find an answer, or are simply cutting junior roles, could face a far harder problem when it comes time to find their next CFO.