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    • Why AI giants are choosing Singapore to turn models into real-world tools   https://www.scmp.com/week-asia/economics/article/3368089/why-ai-giants-are-choosing-singapore-turn-models-real-world-tools?utm_source=rss_feed   Here's the full detailed article based on the SCMP piece you provided:       Why AI giants are choosing Singapore to turn models into real-world tools   Source: South China Morning Post — This Week in Asia Economics Author: Jean Iau Published: 9:00am, 20 Sep 2026 Reading time: 3 minutes       Introduction   Singapore is emerging as a regional hub — not for training the most advanced AI models, but for the increasingly critical work of deploying and adapting them into practical, real-world tools. Major global AI firms are setting up offices here, bringing new opportunities and questions about how these investments will benefit local workers.   Growing presence of global AI firms   - Jordan Seow, a 29-year-old 2021 National University of Singapore business analytics graduate, joined OpenAI in June 2025 as its first locally hired forward-deployed engineer in Asia-Pacific. He works directly with clients to integrate AI solutions into their systems. - Anthropic became the latest major AI firm to announce a Singapore office, advertising nine roles in applied AI, finance, marketing, public benefit and sales. - OpenAI committed over S$300 million (US$235 million) in May 2026, establishing its first Applied AI Lab outside the US, with plans to create 200+ Singapore-based technical roles. - Others with a presence: Google DeepMind / Google Cloud, Microsoft (investing US$5.5 billion in cloud & AI infrastructure through 2029), Meta Superintelligence Labs. - Google Cloud opened an engineering centre in partnership with local giants Grab and DBS.   Why Singapore?   1. Geopolitical neutrality & market access   - Amid US–China tech rivalry, Singapore offers a stable, neutral base and direct access to Southeast Asia’s 660-million-person digital economy. - US firms can recruit international engineers without the tight visa restrictions, high fees and long wait times common in the US.   2. Pro-business, pro-innovation environment   - Regulatory stability, strong IP protection, and a highly skilled workforce. - Government backing: - Tech.Pass → replaced Jan 2027 by One Pass, dedicated for AI & tech specialists. - National AI strategy target: help 10,000 enterprises adopt AI meaningfully in 3 years. - Starting 2027: enhanced tax deductions for businesses investing in AI adoption. - EDB goal: become the world’s most AI-powered economy.   3. Specialisation in deployment, not just training   “Frontier pre-training is not here… What is being built here is the layer that turns a model into something a bank, a hospital or a ministry can run in production.” — Laurence Liew, Director of AI Innovation, AI Singapore   Singapore’s strength is applied AI, deployment engineering and enterprise integration — taking finished models and making them work for real organisations. This is where the bulk of the industry is focused.   Jobs and local talent: who gets hired?   - Early stages: roles often filled by relocated staff from HQ. As operations mature, local hiring grows. - AI Singapore apprenticeship programme: trained 500+ apprentices, adding 100+ yearly; 99% placed within 6 months. Companies including OpenAI recruit directly from this pipeline. - Some government grants include local hiring requirements. - New career paths: roles combining technical skill, customer engagement and practical implementation — not just pure research or software engineering.   Challenges ahead   - Balancing foreign investment with local opportunity: gains will be gradual rather than immediate top-level leadership roles. - Managing AI risks: as AI enters finance, healthcare and public services, Singapore balances openness with accountability — ensuring organisations deploying AI are answerable for its use.       “Remain open to innovation, but ensure that organisations deploying AI are accountable for how these systems are used.” — Stefan Winkler, Head of AI & Data Science, Singapore Institute of Technology        
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