AI Adoption in Asian SMEs: what separate the firms that cross the gap

Asia’s small firms employ most of the workforce and adopt AI at roughly half the rate of their larger neighbors. In South Korea, 28.7% of SMEs use AI against 48.8% of large firms, and at the last national survey only 0.1% of small manufacturers had AI in production. This talk asks what separates the firms that cross that gap from those that don’t and keeps the technology deliberately light. The study is an evidence synthesis, not a new survey. I read multilateral, government and industry sources through the Technology–Organization–Environment framework, then test the patterns against ten cases from six markets: • Korea: Kwangwoo with POSCO, Shinsung Delta Tech with LG, and 502 firms in the Win-Win Smart Factory programme. • Japan: Kapito Japan’s inspection AI, and Shimizu and Obayashi’s robotics on construction sites. • Singapore: grant-supported adopters. • China: the software firm Movitech. • India: IndiaMART’s WhatsApp chatbot. • Vietnam and Indonesia: Lazada sellers. • Thailand: SMEs using generative AI. Each case is graded for evidence quality, and none reaches the top grade. Where effects are reported they are concrete. Kwangwoo’s defect rate fell from about 15% to 2– 3%. Singapore SMEs using AI-enabled grant solutions saved 52% on average. Of 502 Korean smart-factory firms, 77.1% say they already benefit. The contribution is a case-tested adoption pathway that puts organizational capability, partner-led diffusion and realistic sequencing ahead of tool subsidies. It also shows where the data cannot be compared: Vietnam reads 42% in one survey and 93% in another. Technology access is no longer the binding constraint. Skills, trust in a partner, and a first use case small enough to finish are. Event details Date: Wednesday 18 November 2026 Time: 2-3pm Venue: Room 260-009 (Case Room 4), Level 0, Sir Owen G Glenn Building, 12 Grafton Road, Auckland CBD Professor Victor Chang, Professor of Applied AI and Business Analytics from Aston University, UK, has worked at the intersection of applied machine learning, cybersecurity, and large-scale distributed systems, securing over £15 million in competitive research funding from UK and international sources. He is an internationally recognized authority in applied artificial intelligence, data science, cybersecurity, and cloud computing. Over his 26-year career bridging industry and academia, he has published over 300 peer-reviewed papers (accumulating over 33,000 citations, placing him in the top 0.1% of global scientists) and has secured over £3 million in research funding as Principal Investigator. Prof Chang founded 5 international conferences. Currently, 2 of them are still active working with INSTICC, IoTBDS and FEMIB. He has received a special INSTICC Ten-Year Service Award. Professor Chang was named the Cybersecurity Professional of the Year 2026 by the global Cyber Security Awards, Data Scientist of the Year 2026 by UK and Computing’s AI and Software Development Awards and was selected for the Computing AI Leadership Index 2026 as the only academic among the UK's top 25 senior practitioners. He is also the recipient of the Data Leader of the Year 2025 (British Data Awards) and the Inspirational Individual of the Year 2024 (BCS UK IT Industry Awards). His focus is on "Responsible Intelligence”. You can refer to his profile page: https://research.aston.ac.uk/en/persons/prof-victor-chang/ Seminars, conferences and events may be photographed or filmed for use by the University and the media in hard copy and electronic publications including in newsletters and brochures and posted on the University or conference websites to promote subsequent events and the University. If you do not wish to be photographed or filmed, please inform the organiser or photographer.