Bae said South Korea was still trying to close the gap with leading AI powers while creating new markets, making its position different from countries or companies at the technological frontier. “We cannot afford to slow down AI right now,” he wrote on social media, describing the government’s approach as one of “speed responsibility” rather than speed control.
His remarks place Seoul firmly on the acceleration side of a widening debate over whether developers should moderate the pace of capable AI systems. Anthropic chief executive Dario Amodei has called for a slowdown in frontier model development to allow more time for safety work, while OpenAI chief executive Sam Altman and other technology leaders have voiced support for stronger precautions as capabilities advance.
Bae said South Korea should continue expanding research, industrial adoption and home-grown model development while strengthening protections against deepfakes, cyber threats and privacy violations. Faster progress, he said, required safety and trust measures to move at the same pace rather than follow after deployment.
The minister pointed to a broader technology agenda that includes sovereign foundation models, systems capable of processing vision and language, and models able to interact with physical environments. He said the country also needed to prepare for AI becoming deeply embedded across industries and everyday life.
The government has made domestic foundation-model development a central part of its ambition to place South Korea among the world’s top three AI powers. The Ministry of Science and ICT has been running a sovereign AI foundation model programme intended to improve domestic capabilities and reduce dependence on foreign technology.
Three teams led by Upstage, SK Telecom and LG AI Research advanced after the programme’s second-stage evaluation this year. The ministry has said models developed under the initiative were built with comparatively limited resources but were released as open source as part of an effort to expand the domestic AI ecosystem.
Bae indicated that further details on the next phase of the foundation-model programme would be announced after ongoing reviews. His comments also referenced government work on security-focused AI models and frontier systems, alongside an “AI for All” initiative intended to spread adoption across the economy.
The policy push is being developed alongside South Korea’s AI Basic Act, which establishes rules covering both the development of artificial intelligence and the creation of a framework for trust. The law’s stated purpose includes protecting rights and human dignity while supporting quality of life and national competitiveness.
That legal structure gives Seoul a basis for pursuing faster adoption without presenting safety as a separate objective. Bae said competitiveness and sustainability were linked, arguing that development speed and safeguards should advance together.
The global dispute has intensified as leading executives and policymakers weigh the economic benefits of faster AI deployment against concerns over misuse and loss of control. Amodei has proposed independent safety evaluators, coordination among major laboratories and greater international cooperation, while Nvidia chief executive Jensen Huang has argued against slowing technological progress and favours advancing safety alongside innovation.
European Commission President Ursula von der Leyen on Wednesday backed calls for greater caution and said frontier AI laboratories would be invited for talks on managing risks. Meta chief executive Mark Zuckerberg, by contrast, said AI companies already had strong incentives to build systems safely and did not require an industry-wide slowdown.
Bae’s intervention highlights the competitive pressures facing countries outside the United States and China, where most frontier AI investment and model development remains concentrated. South Korea has strong semiconductor and technology industries, but its government has acknowledged the need to strengthen domestic models, computing capacity and commercial adoption to narrow the gap.
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