Hong Kong SFC: Overall Brokerage Profits Surge Over 50% YoY in H1
nashnova research
SFC Chairman Tim Lui disclosed that Hong Kong brokerages' aggregate H1 2026 profit jumped over 50% year-on-year, with mid-size firms up 75%; he simultaneously laid out an AI governance framework demanding "Accountable Intelligence" — setting a new compliance baseline for the industry.
Brokerage profits surged — who gained the most?
Hong Kong brokerages' aggregate profit rose over 50% year-on-year in H1 2026. Category B and C licensees saw gains of 75%.
This means → mid-size brokerages showed far greater earnings elasticity than the industry overall; the largest firms were not the biggest winners.
SFC Chairman Tim Lui (黃天祐) named artificial intelligence as one of the most important drivers of this profit cycle.
AI drove the gains — so why is the regulator tightening up?
Lui introduced a core concept: finance needs not just AI but "Accountable Intelligence."
In plain terms = AI can help you make decisions, but when something goes wrong you cannot say "the machine decided" — functions can be delegated; liability cannot be outsourced.
This reflects the regulator's stance: the stronger AI gets, the more human oversight matters, not less.
What does "Accountable Intelligence" actually require?
"Visible": boards must know exactly where AI is used, what judgments it makes, and what risks it carries — AI must sit inside the firm's overall risk-management framework, not just in the IT department.
"Controllable": any major decision involving client interests, investment calls, or compliance obligations must retain real and effective human oversight; management cannot shift blame to the machine.
"Accountable": staff must be able to challenge AI output; management must be able to explain to boards, clients, and regulators why AI is used, how risk is managed, and who bears responsibility.
Will compliance costs rise?
The regulator's explicit move to fold AI governance into its accountability framework signals that brokerages' spending on AI-related compliance is set to increase.
This means → firms with the capacity to build robust AI governance may pull ahead; compliance capability itself is becoming a competitive moat.
Lui's own words: "The clearer the governance and accountability, the bolder we can afford to innovate."
市场有风险，内容仅供研究参考，不构成投资建议。