Live20 Sept 2026Anthropic opens Singapore office in October to meet Claude demand
← Back to stories

Anthropic opens Singapore office in October to meet Claude demand

Source: Techgoondu

Anthropic will open a Singapore office in October, hiring for nine roles and targeting regulated sectors as the Claude maker expands across Asia-Pacific.

Anthropic opens Singapore office in October to meet Claude demand
SGAI Daily

Anthropic is putting down roots in Singapore, with an office set to open in October as the Claude maker pushes deeper into Asia-Pacific. The company says the move answers strong enterprise appetite for its AI models.

Singapore joins Tokyo, Bengaluru, Seoul and Sydney on Anthropic's regional map. The city-state punches well above its weight on adoption: it sits second among 121 countries for Claude.ai usage measured against population, running 5.81 times the level its headcount alone would suggest.

Locally, Anthropic plans to serve everyone from startups and digital-native firms to large enterprises and public agencies. Demand is loudest in regulated corners such as financial services and government. Dale Finlay, a former Google Cloud executive, has taken the general manager role for Asean and will run the operation from Singapore, working with customers and partners across the region.

Finlay's read on the market is that ambition is not what holds Southeast Asian businesses back, trust is, and once that is settled companies get on with weaving AI into everyday operations. Hiring will start small: nine roles are advertised, one covering applied AI and the rest spread across marketing, economic research and sales.

Why it matters for Singapore: A US AI heavyweight choosing the Republic as its Southeast Asian base reinforces the country's pitch as a stable, rule-bound hub for the technology, and it sits comfortably alongside official efforts to shift from debating AI governance to deploying tools across the economy. For local firms and agencies, a frontier model vendor on the doorstep, plus a shot at scarce AI talent, could speed up adoption.