随著人工智慧在全球金融领域的整合加速，初级职位机会正在显著收缩。McKinsey & Co. 的 QuantumBlack 资深合伙人 Debasish Patnaik 指出，各大银行正将其初级分析师的招收规模缩减高达三分之二 (two-thirds)。然而矛盾的是，这些机构大约有 62% 的人工智慧人才正是从这些相同的初级群体中招募而来。尽管有所缩减，但由于银行业具有学徒制的特性，初级职位对于培养未来的董事总经理依然至关重要，因此银行不太可能完全取消毕业生招收。
相较于追求完全自动化的机构，各大银行目前更倾向于将人工智慧应用于特定的单一场景，特别是在客户服务与交易监控方面。例如，Barclays 自 10 月份推出该项目以来，已利用生成式人工智慧摘要了超过 800 万通 (8 million) 客户电话，从而提升了效率。与此同时，像 Bank of America 这样的机构仍承诺在八个业务部门中招收 2,000 名暑期实习生和另外 2,000 名全职新人，但他们希望透过人工智慧提升效率，以保持整体员工人数持平。
虽然中台职位面临越来越大的自动化风险，但人工智慧全面取代人力仍面临显著障碍。招募公司 Robert Walters 的 Tom Lakin 指出，银行在招聘上不太可能过度依赖人工智慧，且至少有一家筛选软体公司在 2021 年因风险考量移除了面部表情分析功能。此外，Mishcon de Reya 的就业律师 David Parsons 警告，如果裁员不成比例地影响到初级或行政员工，将会带来被低估的歧视风险；而 Jamie Dimon 则认为，许多迄今宣布的裁员计划可能只是掩盖了企业原本就存在的过度官僚作风。
As artificial intelligence integration accelerates in the global financial sector, entry-level opportunities are contracting significantly. Debasish Patnaik, a senior partner at McKinsey & Co., indicates that banks are reducing their junior analyst intakes by up to two-thirds. Paradoxically, these institutions are sourcing approximately 62% of their artificial intelligence talent from these same junior cohorts. Despite this reduction, complete elimination of graduate roles is unlikely due to the apprentice-like nature of banking, where junior roles remain essential for cultivating future managing directors.
Instead of fully automated institutions, banks are deploying AI for targeted use cases, particularly in customer service and transaction monitoring. For instance, Barclays has utilized generative AI to summarize more than 8 million customer calls since October, boosting efficiency. Meanwhile, institutions like Bank of America are maintaining their intake of 2,000 summer interns and 2,000 full-time recruits across eight business lines, though they seek to keep overall headcounts flat by using AI to drive efficiency.
While middle-office roles are increasingly vulnerable to automation, significant barriers to widespread AI replacement remain. Tom Lakin from recruitment firm Robert Walters notes that banks are hesitant to rely heavily on AI for hiring, and one major screening software company removed facial analysis features in 2021 due to risk concerns. Furthermore, legal experts like David Parsons warn of underpriced discrimination risks if redundancies disproportionately impact junior or administrative staff, while executives like Jamie Dimon suggest that some announced cuts may mask pre-existing organizational bureaucracies.