On 14 October 2026 Anthropic announced the opening of an office in Singapore — the company's fifth in Asia-Pacific — and the signing of a memorandum of understanding (MOU) with the country's Ministry of Digital Development and Information. The figure that best explains the reasoning comes from the firm itself: according to its Economic Index, Singapore ranks second out of 121 countries in Claude.ai use per head of population, at a volume nearly six times what its size would lead you to expect.
What has been announced
The memorandum was signed on the sidelines of Singapore International Cyber Week. It was signed by Kai Fong Chng, the ministry's permanent secretary, and Ben Mann, co-founder of Anthropic; Minister Josephine Teo and Michael Sellitto, the company's head of policy for Asia-Pacific, attended as witnesses.
The agreement sets out three areas of cooperation: joint work on safety and model evaluation; research into how AI is being adopted and what effects it is having; and encouraging responsible adoption across both government and business. In practice, Anthropic says it will maintain technical exchanges with Singapore's AI safety and certification institutions on three specific matters: how models are evaluated, which testing standards apply and how incidents are handled. The company notes that it does something similar with safety institutes in other countries, on the grounds that sharing technical information gives governments a truer picture of the capabilities and risks of frontier models.
The rest of the commitment is vaguer: AI training and skills, support for small and medium-sized businesses looking to adopt the technology, collaboration with the Government's plan to build AI capability among civil servants, and a commitment to share research and data — including the Economic Index — alongside technical and regulatory advice as Singapore drafts its rules.
Existing usage is the most concrete part of the announcement. Within government, the state technology agency, GovTech Singapore, has more than 1,500 engineers and technical staff working with Claude Code to modernise public systems and speed up software delivery. The country's cybersecurity agency is examining how to use the model to strengthen national defence. In finance, DBS — the largest bank in South East Asia — applies it in its local operation for development and day-to-day productivity, within its own governance and security framework; and GIC, the sovereign wealth fund, is rolling it out across its investment and corporate services teams. Anthropic highlights a technical detail that matters in regulated sectors: it is now possible to run Claude with inference inside the region via Amazon Bedrock, which helps meet strict data-handling requirements.
Among private companies, Grab uses Claude as the engine behind BriX, its commercial assistant, which it credits with saving its sales teams roughly 40,000 hours per quarter as well as surfacing new opportunities. Sea — parent of Shopee, Garena and Monee — uses it to make Shopee's customer service chatbot respond better and faster, and thousands of its employees use it to write and debug code. Supabase, the developer platform with roots in the country, builds with Claude Code.
The week of the announcement also featured a Builder Summit with more than 300 developers and a preceding gathering, organised by local community ambassadors, that drew more than 700 people. The office is already open, with vacancies posted.
Where this comes from
The relationship did not start here. Anthropic dates the first contact to 2023, when it joined the Generative AI Evaluation Sandbox run by the Infocomm Media Development Authority and the AI Verify Foundation. That was followed by a joint red teaming project — controlled attacks on models to find flaws — in four languages: English, Mandarin, Malay and Tamil. That history explains the fit: Singapore has spent years investing in model testing and evaluation, and the memorandum formalises something that already existed in piecemeal form.
It also fits the pattern of recent months, already covered on this blog: the Cyber Mission and the one hundred and fifty million dollars committed to the Genesis Mission in the United States point to the same strategy of institutional agreements with public administrations.
What it means for people who build software
Three practical consequences, in order of usefulness.
In-region inference is no longer an excuse. The fact that Claude can run with processing inside Singapore via Bedrock changes the conversation on any project with data residency requirements. Until now, the argument that "the data leaves the country" closed down the debate in banking, insurance and the public sector. It no longer does, and it is worth checking which provider and which specific region each deployment is configured for before promising anything.
Claude Code inside a government, at scale. The GovTech figure — more than 1,500 technical staff — is not a pilot. Anyone maintaining legacy systems in regulated environments now has a precedent to point to when asked to justify why they want tools of this kind in the development cycle.
Testing standards are being written right now. The memorandum talks about testing standards and incident response. Whatever comes out of those technical exchanges between company and state will, in time, end up being what a client demands under contract. Worth following the trail.
What the announcement does not say
There are no figures, no timelines and no hiring commitments with numbers attached. An MOU is not a binding contract: it sets out intentions. There is no detail on which specific data will be shared with the Government, at what level of granularity or with what privacy limits, beyond the generic reference to the Economic Index.
All the impact figures come from Anthropic or its customers. The 40,000 hours per quarter that Grab says it saves come with no methodology attached; nor is there any explanation of how the supposed efficiency gain at GovTech was measured. The second-place ranking for use per head comes from an index that the company itself compiles and publishes, using a measurement it defines. And the statement from Chng, the permanent secretary, places the official priority exactly where you would expect:
La confianza es decisiva para que empresas, trabajadores y ciudadanos usen la IA con seguridad.
Nor is it clear whether the technical exchange on evaluation will include access to models before release, or what happens if a test uncovers a problem: nothing has been published on disclosure obligations in that case. The full announcement is on the company's website.