THE LONG VIEW

Bottom Line Up Front: The convergence of an overinflated AI market and the accelerating threat of quantum computing to encrypted financial systems poses a dual systemic risk to Hong Kong’s financial stability, requiring immediate regulatory and institutional preparedness. Threat Identification: Two primary threats are emerging: (1) a potential AI investment bubble driven by speculative capital inflows into unproven AI commercial models, and (2) quantum computers advancing to the point of breaking current cryptographic protocols used in financial systems, enabling large-scale data breaches. Probability Assessment: The AI market correction risk is moderate to high in the near term (2026–2027), especially if geopolitical shocks trigger inflation and higher interest rates. The quantum computing threat is projected to become critical by 2029, based on Google’s assessment that quantum machines could crack encryption within three years, giving institutions a narrow window to respond [South China Morning Post, 2026]. Impact Analysis: An AI market crash could destabilize corporate debt markets, particularly in private credit and bond issuance, while quantum decryption capabilities could compromise financial data integrity, transaction security, and erode trust in digital banking. The combined impact could trigger systemic failures if both events coincide. Recommended Actions: Financial institutions should strengthen capital buffers, stress-test for tech-driven market corrections, and accelerate adoption of quantum-resistant encryption. Regulators like the HKMA must enforce rigorous risk disclosures for AI-related investments and coordinate with global bodies on post-quantum cryptography standards. Confidence Matrix: AI bubble risk — High confidence; Quantum threat timeline — Moderate confidence (dependent on classified advancements); Systemic impact — High confidence; Mitigation urgency — High confidence [South China Morning Post, 2026].