香港銀行業 2030:重塑全球金融版圖的五大核心變革 Five Core Transformations Reshaping Hong Kong’s Financial Landscape

Hong Kong Banking 2030: A Vision for the Future Deloitte and The Hong Kong Association of Banks,
2030 年的銀行會是什麼樣子?
想像一個 2030 年的清晨:您的「代理型 AI (Agentic AI)」助手根據大灣區最新的政策波動與中東市場的投資熱度,自動發出資產配置預警,並在獲得您的生物識別授權後,透過代幣化結算在數秒內完成了橫跨三大洲的資產重組。這不是科幻想像,而是香港銀行業正全面佈局的實景。
根據德勤 (Deloitte) 與香港銀行公會 (HKAB) 對 147 家成員銀行的深度調研,高達 99% 的受訪銀行對香港前景持樂觀態度。這份《香港銀行業 2030》報告不僅是數據的堆砌,更預示著香港正經歷一場質變:從傳統的資金中轉站,轉型為全球領先的**「智慧諮詢與治理中心 (Governance Hub)」**。

1. 財富管理中心的新里程:從「超越瑞士」到「治理領先」
香港在 2025 年正式超越瑞士,成為全球最大的跨境財富管理中心。但對於資深分析師而言,這僅僅是個開始。
  • 規模質變: 目前香港擁有超過 3,380 家單一家族辦公室,每年貢獻逾 126 億港元。這代表香港已從單純的交易中心進化為家族權力與傳承的治理核心。
  • 資產結構動態: 中國內地資產在香港 AUM 的佔比正快速攀升,從 2025 年的 59% 預期在五年內增長至 68%。這種深度的血脈融合,是大灣區集成與跨代傳承浪潮下的必然結果。
「香港銀行的未來支柱在於大灣區整合、跨代傳承與家族辦公室。我們正構建一個結合人類顧問溫度、數位自助服務與 AI 方案的受監管治理模型。」 —— 匯豐銀行 (HSBC) 香港區行政總裁 伍碧薇

2. AI 的範式轉移:從「實驗室」走向「代理化」生產線
53% 的受訪銀行已將生成式 AI (GenAI) 視為投資首位。然而,真正的變革在於從「輔助決策 (Copilot)」向「主動運行 (Agentic)」的轉向。
  • 人機協作模型 (Human-in-the-loop): 領先銀行如恆生正推動**「責任縮放 (Responsible Scaling)」**,將 AI 嵌入核心工作流,同時保留人類在倫理判斷與風險控管上的最終決定權。
  • 主動顛覆: 花旗銀行 (Citibank) 香港區總經理辛尚文明確表示:「我們不是在等待被顛覆,我們是在主動顛覆自己。」透過創建 AI 賦能的團隊,銀行正重新定義 Gen Z 數位原住民所需的即時性服務。

3. 「超級聯繫人」的角色進化:支持企業出海的數位血管
香港作為企業出海的戰略跳板,正從單純的融資平台升級為數位基礎設施的提供者。
  • 新廊道數據: 91% 的受訪中國企業正擴張至東盟 (ASEAN),更有 46% 瞄準了中東市場。高達 80% 的企業將香港列為首選服務平台。
  • 金融血管數位化: 作為離岸人民幣樞紐(處理全球 70% 支付量),香港的優勢已轉向硬基礎設施。mBridge 平台在 2022-2025 年間結算額達 3,900 億人民幣,這類數位結算能力正成為支持「一帶一路」廊道的技術底座。

4. 穩定幣與代幣化:數位資產的規模式應用
隨著《穩定幣條例》實施,HKMA(金管局)於 2026 年 4 月批准首批發行人,標誌著銀行從觀察者正式轉型為參與者。
  • 雙軌策略: 銀行正對「支付型穩定幣」(零售與貿易)與「結算型穩定幣」(機構間即時結算)採取不同的架構佈局。
  • 群體規模化 (Project Ensemble): 透過共享基礎設施,銀行解決了單一平台無法實現的規模化問題。代幣化債券與基金的即時交收 (DvP) 正在將資金效率提升至前所未有的高度。

5. 執行力的最後一里路:組織與人才的重塑
儘管技術耀眼,但 52% 的銀行領導者指出,真正的瓶頸在於**「執行力」「組織重設計」**。
  • 從「碼農」到「跨界專家」: 現在的挑戰在於缺乏能同時理解風險、數據治理與客戶體驗的跨學科人才。
  • 高價值樞紐化: 以 MUFG 為代表的銀行正在重塑營運模型——將標準化、高產量的流程移往印度等離岸中心,使香港轉型為專注於決策、風險監督與客戶深度互動的高價值樞紐。

結語:集體行動的未來
展望 2030 年,沒有一家銀行能孤立生存。在網路安全與反詐騙領域,**「集體防禦」**將成為行業標準。銀行業正從「提供資金的機構」質變為「智慧與技術的連結節點」。
當 2030 年到來,AI 處理了 99% 的標準化交易時,一個戰略性的挑釁問題隨之而來:當銀行服務已由智慧演算法主導,您最看重的價值,是那最後 1% 的人類判斷力,還是這個法律體系賦予您的數位資產信任?

💡 專題分析:高淨值家庭與家族辦公室的行動建議
針對《香港銀行業 2030》揭示的趨勢,財富專業人士應採取以下行動:
  1. 尋求「治理型」諮詢夥伴: 財富管理已超越產品,應優先選擇能提供 「家庭治理」、跨代繼承與數據資產託管的銀行。
  2. 深化人民幣生態佈局: 利用香港日益加深的離岸人民幣產品深度,進行資產多元化,特別是關注人民幣計價的債券與票據。
  3. 佈局「代幣化投資組合」: 密切關注 Project Ensemble 框架下產出的新型投資機會,如**「代幣化基金」「代幣化實物資產」**,以獲得更高的流動性與底層透明度。

 

What will banks look like in 2030?

Imagine an early morning in 2030: Your “Agentic AI” assistant automatically issues an asset allocation alert based on the latest policy fluctuations in the Greater Bay Area and investment momentum in Middle Eastern markets. Upon receiving your biometric authorization, it completes a cross-continental asset restructuring across three continents in seconds via tokenized settlement. This is not a science fiction fantasy—it is the reality being actively deployed across Hong Kong’s banking industry.

According to an in-depth survey of 147 member banks conducted by Deloitte and the Hong Kong Association of Banks (HKAB), an astounding 99% of surveyed banks hold an optimistic outlook for Hong Kong’s future. The Hong Kong Banking 2030 report is more than just a accumulation of data; it signifies that Hong Kong is undergoing a qualitative transformation: evolving from a traditional capital transit hub into a world-leading “Smart Advisory & Governance Hub.”

1. A New Milestone for Wealth Management: From “Surpassing Switzerland” to “Leading in Governance” In 2025, Hong Kong officially surpassed Switzerland to become the world’s largest cross-border wealth management center. However, for senior analysts, this is just the beginning.

  • Qualitative Scale Transformation: Hong Kong is currently home to over 3,380 single-family offices, contributing more than HKD 12.6 billion annually. This demonstrates that Hong Kong has evolved from a simple transaction hub into a core governance hub for family power and generational succession.

  • Dynamic Asset Structure: Mainland Chinese assets are rapidly increasing their share of Hong Kong’s AUM, projected to grow from 59% in 2025 to 68% within five years. This deep integration is an inevitable result of the Greater Bay Area integration and the wave of intergenerational wealth transfer.

“The future pillars of Hong Kong banking lie in Greater Bay Area integration, intergenerational succession, and family offices. We are building a regulated governance model that combines the warmth of human advisors, digital self-service, and AI solutions.”Luanne Lim, Chief Executive, Hong Kong, HSBC

2. AI’s Paradigm Shift: From “Labs” to “Agentic” Production Lines 53% of surveyed banks have ranked Generative AI (GenAI) as their top investment priority. However, the true transformation lies in the shift from “assisted decision-making (Copilot)” to “proactive operation (Agentic).”

  • Human-in-the-Loop Collaboration: Leading banks like Hang Seng are promoting “Responsible Scaling,” embedding AI into core workflows while retaining human final authority over ethical judgment and risk control.

  • Proactive Disruption: Ayesha Khanna, Head of Citibank Hong Kong, clearly stated: “We are not waiting to be disrupted; we are proactively disrupting ourselves.” By creating AI-empowered teams, banks are redefining the real-time services demanded by Gen Z digital natives.

3. Evolution of the “Super-Connector”: Digital Blood Vessels Supporting Corporate Global Expansion As a strategic springboard for Chinese enterprises expanding globally, Hong Kong is upgrading from a mere financing platform into a provider of digital infrastructure.

  • New Corridor Data: 91% of surveyed Chinese enterprises are expanding into ASEAN, with 46% targeting the Middle East market. Up to 80% of these companies rank Hong Kong as their preferred service platform.

  • Digitizing Financial Arteries: As an offshore RMB hub (handling 70% of global payments), Hong Kong’s advantage has shifted toward hard infrastructure. The mBridge platform settled RMB 390 billion between 2022 and 2025, and such digital settlement capabilities are becoming the technical foundation supporting the “Belt and Road” corridors.

4. Stablecoins and Tokenization: Large-Scale Application of Digital Assets With the implementation of the Stablecoin Regulations, the HKMA approved the first batch of issuers in April 2026, marking the official transformation of banks from observers into active participants.

  • Dual-Track Strategy: Banks are deploying different architectural layouts for “Payment Stablecoins” (retail and trade) versus “Settlement Stablecoins” (instant interbank settlement).

  • Scaling via Project Ensemble: By leveraging shared infrastructure, banks have overcome the scalability limitations of isolated platforms. Delivery versus Payment (DvP) for tokenized bonds and funds is boosting capital efficiency to unprecedented heights.

5. The Last Mile of Execution: Organizational and Talent Reshaping Despite the impressive technology, 52% of banking leaders point out that the real bottleneck lies in “Execution” and “Organizational Redesign.”

  • From “Coders” to “Cross-Disciplinary Experts”: The current challenge is the shortage of cross-disciplinary talent capable of simultaneously understanding risk, data governance, and customer experience.

  • High-Value Hub Transformation: Banks represented by MUFG are reshaping their operating models—offshoring standardized, high-volume processes to hubs like India, allowing Hong Kong to transition into a high-value hub focused on decision-making, risk oversight, and deep client engagement.

Conclusion: The Future of Collective Action Looking ahead to 2030, no bank can survive in isolation. In areas like cybersecurity and anti-fraud, “Collective Defense” will become the industry standard. The banking industry is morphing from “institutions providing capital” into “interconnected nodes of intelligence and technology.”

As 2030 arrives and AI handles 99% of standardized transactions, a strategic and provocative question arises: When banking services are dominated by intelligent algorithms, is the value you cherish most that final 1% of human judgment, or the trust in digital assets conferred by this legal system?

💡 Special Analysis: Actionable Recommendations for High-Net-Worth Families & Family Offices In light of the trends revealed in the Hong Kong Banking 2030 report, wealth professionals should take the following actions:

  1. Seek “Governance-Focused” Advisory Partners: Wealth management has transcended financial products. Priority should be given to banks capable of offering family governance, intergenerational inheritance, and data asset custody.

  2. Deepen RMB Ecosystem Layouts: Leverage Hong Kong’s expanding depth of offshore RMB products to diversify assets, specifically paying attention to RMB-denominated bonds and notes.

  3. Allocate to “Tokenized Portfolios”: Closely monitor emerging investment opportunities originating from the Project Ensemble framework—such as “Tokenized Funds” and “Tokenized Real-World Assets (RWA)”—to achieve higher liquidity and underlying transparency.

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理財小知識

8種最常聽到的投資策略

8種最常聽見的投資策略:

價值投資: 這種策略包括購買市場低估的股票或其他資產,並等待它們增值。

增長投資: 這種策略包括購買具有高增長潛力的股票或其他資產,即使它們被市場高估。

多元化投資: 這種策略包括將投資分散到各種資產類別,如股票、債券、房地產和大宗商品,以降低風險。

平均法成本法: 這種策略包括定期投資一定數量的資金,不管當前投資的價格如何,以減少在錯誤時間投入大量資金的風險。

指數投資: 這種策略包括購買與市場指數(如S&P500)密切追踪的股票或其他資產組合,以實現與整體市場相似的回報。

主動管理: 這種策略包括根據市場狀況和經理對基礎資產的分析,主動買賣資產。

風險管理: 這種策略包括辨識,評估和優先考慮潛在風險,並采取適當的措施以減輕或管理風險。結構性產品: 這種策略包括使用金融工具,如期權、期貨和衍生品,以實現對市場的投資或避險。

8 common investment strategies:

Value investing: This strategy involves buying stocks or other assets that are undervalued by the market and waiting for them to appreciate in value.

Growth investing: This strategy involves buying stocks or other assets that have the potential for high growth, even if they are overvalued by the market.

Diversification: This strategy involves spreading investments across a variety of asset classes, such as stocks, bonds, real estate, and commodities, in order to minimize risk.

Dollar-cost averaging: This strategy involves investing a fixed amount of money at regular intervals, regardless of the current price of the investment, in order to reduce the risk of investing a large sum of money at the wrong time.

Index investing: This strategy involves buying a portfolio of stocks or other assets that closely tracks a market index, such as the S&P 500, in order to achieve returns similar to the overall market.

Active management: This strategy involves actively buying and selling assets based on market conditions and the manager’s analysis of the underlying assets.

Risk management : This strategy involves identifying, assessing and prioritizing potential risks and taking appropriate steps to mitigate or manage those risks.

Hedge Funds strategy: This strategy involves using high-risk investment techniques such as leverage, short selling, and derivatives to generate returns, often with the goal of outperforming the broader market.

These are just a few examples, and there are many other investment strategies available depending on the investor’s goals and risk tolerance.