Major financial institutions, specifically HSBC and Standard Chartered, are implementing artificial intelligence (AI) to enhance operational efficiency, leading to significant shifts in staffing requirements.

大型金融機構，特別是匯豐與渣打銀行，正導入人工智慧（AI）以提升營運效率，導致人力需求發生顯著轉移。

The strategic adoption of generative AI in the banking sector is precipitating a systemic reconfiguration of human capital. Standard Chartered has announced a projected reduction of approximately 15% in corporate function roles by 2030, equating to nearly 8,000 redundancies. This initiative targets back-office operations, particularly in HR, compliance, and risk management, with significant impacts anticipated in hubs such as Bengaluru, Chennai, Shenzhen, Kuala Lumpur, and Warsaw. The institution aims to elevate its return on tangible equity (RoTE) to over 15% by 2028 and increase income per employee by approximately 20% through this automation drive.

銀行業策略性地採用生成式 AI，正促使人力資本的系統性重組。渣打銀行宣布，預計到 2030 年，企業職能崗位將減少約 15%，相當於近 8,000 個職位被裁減。此舉針對後勤營運，特別是在人力資源、合規與風險管理部門，預計班加羅爾、金奈、深圳、吉隆坡與華沙等中心將受到顯著影響。該機構目標透過此次自動化推動，在 2028 年前將有形股本回報率（RoTE）提升至 15% 以上，並將每名員工的收入增加約 20%。

Stakeholder positioning has been characterized by tension regarding the terminology of this transition. CEO Bill Winters initially described the process as the replacement of 'lower-value human capital' with financial and investment capital. This phrasing elicited critical responses from public figures, including former Singaporean President Halimah Yacob, and prompted a subsequent internal memo from Winters asserting that the remarks were taken out of context and that role reductions reflect functional changes rather than a diminution of personnel value. Simultaneously, HSBC CEO Georges Elhedery has acknowledged that while AI will eliminate certain positions, it will concurrently generate new roles, urging staff to avoid resistance to these technological advancements.

利益相關者的立場在這次轉型的措辭上呈現緊張態勢。執行長 Bill Winters 最初將此過程描述為以金融與投資資本取代「低價值人力資本」。這種表述引起了包括前新加坡總統哈莉瑪·雅各布在內等公眾人物的批評，隨後 Winters 發布內部備忘錄，聲稱其言論被斷章取義，且職位削減反映的是功能性變動，而非人員價值的降低。與此同時，匯豐執行長 Georges Elhedery 承認，雖然 AI 將消除某些職位，但同時也會創造新崗位，並敦促員工避免抵制這些技術進步。

Broader industry trends suggest a wider pattern of displacement. Morgan Stanley reports a 5% reduction in staff across banking, technology, and professional services over the previous year due to AI, with junior employees and offshore workers in India and Poland being disproportionately affected. Other institutions, such as Goldman Sachs and Mizuho, have similarly indicated hiring slowdowns or long-term headcount reductions. Despite these trends, some executives, such as Wells Fargo's Charlie Scharf, maintain that AI has increased productivity without necessitating a reduction in total employee numbers.

更廣泛的產業趨勢顯示出更普遍的替代模式。摩根士丹利報告指出，由於 AI 影響，過去一年銀行、科技與專業服務領域的員工減少了 5%，其中初級員工以及在印度與波蘭的離岸員工受影響最深。其他機構如高盛與瑞穗也同樣表示招聘放緩或長期削減員工人數。儘管存在這些趨勢，部分高管如富國銀行的 Charlie Scharf 仍堅持 AI 提高了生產力，而無需減少總員工人數。

The banking industry is currently navigating a transition toward AI-driven automation, balancing the pursuit of increased profitability with the necessity of workforce reskilling and the management of institutional reputation.

銀行業目前正處於向 AI 驅動自動化轉型的過程中，在追求提高獲利與員工重新培訓的必要性，以及管理機構聲譽之間取得平衡。