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HSBC is using conventional AI at increasing scale while testing quantum technologies on narrowly defined banking problems. Its AI programme targets wealth advice, financial-crime controls and employee support; its most specific quantum result is a reported improvement of up to 34% in predicting whether European corporate-bond inquiries would be filled.
Those developments are not equivalent. The AI work includes a forward-looking plan for more than 200 additional use cases, while the quantum claims come from measured trials and remain limited to particular trading and security tasks.
Where HSBC is deploying AI
A Google Cloud programme with more than 200 planned use cases
In 2026, HSBC said its Google Cloud programme had more than 200 additional AI use cases planned over two years. The bank estimated that those use cases could create benefits worth more than $100 million. Both figures are programme expectations, not independently verified savings or completed deployments.
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The programme combines HSBC’s internal tools with work involving Google Cloud, Google DeepMind and Mistral AI. The stated aim is to move beyond isolated pilots and put AI into recurring business processes while keeping the bank’s controls and subject-matter expertise in the loop.
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The first business priorities
- Personalised wealth advice: AI can help tailor information and recommendations to an individual customer’s circumstances and deliver responses in real time.
- Financial-crime risk management: Models are being directed at detecting suspicious activity and improving fraud-related controls.
- Frontline support: Employees can use AI assistance to find information and handle customer work more efficiently.
HSBC Group CEO Georges Elhedery described the goal as a personalised experience “delivered in real time and at scale,” while retaining human judgement, decision-making and accountability.
What HSBC has actually demonstrated with quantum computing
European corporate-bond inquiry prediction
In a 25 September 2025 release, HSBC and IBM reported an improvement of up to 34% in predicting whether inquiries for European corporate bonds would be filled. The workflow combined quantum and classical computing and was tested with real production-scale data.
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Philip Intallura, HSBC’s group head of quantum technologies, characterised the result as “up to 34% improvement in predicting whether an order will be fulfilled.” HSBC called it a “ground-breaking world-first in bond trading.” The measured task was prediction: estimating the likelihood that an inquiry would receive a fill. It was not a claim of a 34% increase in trading profit, execution speed or returns.
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →The hybrid design matters. Classical systems handled parts of the workflow while a quantum processor was used for a defined computational component. The result therefore demonstrates that a quantum-classical approach can be useful for this particular modelling problem; it does not show that quantum computers broadly outperform classical systems across finance.
Quantum-key-distribution security trial
In December 2023, HSBC conducted a quantum-key-distribution trial to protect a €30 million euro-to-dollar foreign-exchange scenario on its AI Markets terminal. The trial used technology from BT, Toshiba and AWS.
Quantum key distribution is a communications-security technique intended to reveal attempts to intercept cryptographic key exchange. HSBC’s trial addressed the protection of a specific transaction scenario, rather than announcing a bank-wide replacement of existing encryption. Colin Bell, CEO of HSBC Bank plc and HSBC Europe, said at the time, “The quantum revolution is not on the horizon; it’s already here.” That statement reflects HSBC’s strategic position, while the disclosed work remains a trial with a defined scope.
HSBC’s initiatives side by side
| Initiative | Business problem | Computing model | Evidence and maturity | Named partners |
|---|---|---|---|---|
| Google Cloud AI programme | Wealth advice, financial-crime risk management and frontline support | Cloud-based conventional AI, including generative-AI work | More than 200 additional use cases planned over two years; estimated benefit above $100 million, as stated by HSBC in 2026 | Google Cloud, Google DeepMind and Mistral AI |
| Corporate-bond inquiry prediction | Predicting whether European corporate-bond inquiries will be filled | Hybrid quantum-classical workflow | Up to 34% improvement reported by HSBC and IBM on real production-scale data in September 2025 | IBM |
| Foreign-exchange security trial | Protecting a €30 million euro-to-dollar FX scenario on the AI Markets terminal | Quantum key distribution | Trial conducted in December 2023; a defined security demonstration rather than a disclosed bank-wide rollout | BT, Toshiba and AWS |
| Academic and public-sector collaborations | Generative AI, large language models, quantum computing, fraud detection and skills development | AI and quantum research | Collaboration and talent-development initiatives | Fudan University, HKUST and MAS-related initiatives |
Which technology and research organisations are involved?
Commercial technology partners
Google Cloud provides the cloud platform for HSBC’s broader AI programme, with Google DeepMind and Mistral AI involved in the bank’s AI ecosystem. IBM is the named partner for the corporate-bond quantum-classical experiment. BT, Toshiba and AWS supplied technology used in the quantum-key-distribution security trial.
Universities and public-sector links
HSBC has also linked its work to Fudan University and the Hong Kong University of Science and Technology (HKUST). MAS-related initiatives add a public-sector dimension, covering subjects such as generative AI, large language models, quantum computing, fraud detection and the development of specialist talent.
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How mature are the projects?
AI: moving from pilots toward operating scale
The planned use-case count indicates a push to industrialise AI across the bank. However, “planned” does not mean every use case is live, delivering the estimated value or available to customers. The programme’s scale should therefore be read as an implementation ambition backed by named infrastructure and research partners.
Quantum: targeted experiments with measured results
The bond-prediction figure is more concrete than a general statement that quantum computing could transform finance: HSBC identified a task, used production-scale data and reported a measured result. Even so, the public evidence describes one problem and one hybrid workflow. It does not establish a universal advantage over well-designed classical systems, nor does it provide an independent comparative benchmark.
HSBC has positioned itself as one of the “top two global leaders” in quantum finance. That is the bank’s own positioning claim, not an independently ranked industry result. Intallura has acknowledged the uncertainty of pioneering work, saying, “We’re trying to forge a path that there is no blueprint for.”
What customers and technology teams should take from this
- AI benefits are likely to appear first in assisted decisions and service workflows: wealth guidance, monitoring and employee tools are more immediate targets than fully autonomous banking decisions.
- Human oversight remains part of HSBC’s stated operating model: its published principles retain human judgement, decision-making and accountability.
- Quantum progress is use-case specific: the bond result is relevant to a particular prediction task, while the security trial concerns key distribution for a defined FX scenario.
- No consumer quantum product has been established: the disclosed work concerns HSBC’s institutional systems, research collaborations and controlled trials.
In short, HSBC’s AI story is one of planned scale and operational integration. Its quantum story is narrower but technically significant: a reported production-scale bond-prediction experiment and a separate security trial, neither of which supports the claim that quantum computing has broadly replaced classical finance technology.
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