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South Korea leads global rise in AI adoption: Microsoft

Microsoft said South Korea posted the fastest rise in AI adoption in the first quarter of 2026, while Asia made accounted for 12 of the 15 fastest-growing markets.

Microsoft’s AI Economy Institute said South Korea’s usage rate rose 6.4 percentage points to 37.1% in the first quarter.

Thailand and Japan also logged notable gains, which it linked to state support, digital infrastructure spending, and better Asian-language AI models.

The United Arab Emirates (UAE) and Singapore still led overall adoption at 70.1% and 63.4% according to the report.

Microsoft also said developed economies continued to outpace developing markets in AI usage.

🔗 Source: The Korea Times

🧠 Food for thought

Implications, context, and why it matters.

South Korea’s rise draws on policy support and viral trends

  • Growth is tied to the “Digital New Deal,” a South Korean investment program for digital infrastructure and technology. It includes 160 trillion won (US$117 billion), with 23% set aside for AI computing capacity and connectivity 1.
  • Firms that build AI infrastructure projects under government rules can get tax breaks and low-interest loans through the program 1.
  • Meanwhile, South Korea’s market for AI-optimized data centers, facilities built for AI workloads, could reach US$1.89 billion by 2030. AI-ready halls in Seoul cost about US$12 million per megawatt (MW) to build 1.
  • Popular culture also sped up adoption. “Ghibli-style” image generation, based on the visual style linked to Studio Ghibli, the Japanese animation company, pulled in new users who later kept using the tools 2.

Adoption rates suggest infrastructure is only part of per-capita usage

  • Smaller, highly digitized countries such as the UAE suggest that a lower population can still produce higher usage per person 3.
  • South Korea’s experience suggests that better local-language performance in AI models can drive user growth 4.
  • For AI companies and policymakers, cultural and language fit can shape adoption as much as more computing power 5.

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