NDR 2026: Singapore wisely says no to tech for tech’s sake
Responsible adoption will be key to making the most of new capabilities
The Singapore government's stance against indiscriminate technology deployment, highlighted in Prime Minister Lawrence Wong's National Day Rally address, offers a welcome counterbalance to the unchecked proliferation of emerging technologies. Wong emphasized that Singapore would pre-empt the risks posed by new technologies by implementing safeguards and ensuring people remain in control.
This stance is reinforced by Singapore's existing Model AI Governance Framework, which has been periodically updated since 2019, and its recent partnership with OpenAI to bolster the country's AI ecosystem. The government's experience with social media's impact on mental health has been used as an analogy to illustrate the potential downsides of AI adoption, such as the "tokenmaxxing" phenomenon where businesses rush to adopt AI without proper consideration.
Wong also touched upon the successful integration of agentic AI by a small business, highlighting the need for businesses and individuals to make informed decisions about technology use. Singapore's experience with the impact of technology on taxi drivers' jobs, from ride-hailing apps to autonomous vehicles, underscores the government's approach of leveraging technology for business productivity while retraining workers for higher-value roles.
The government emphasizes the importance of developing a workforce capable of understanding and operating new technologies to maintain a competitive edge in a global knowledge economy. The geopolitical climate further emphasizes the need for responsible technology adoption, as countries increasingly use trade, technology, and investment to advance their strategic and security objectives.
By leading the way in responsible tech adoption, Singapore can maintain its position as a first mover advantage in the global technology landscape.
Written by urgent.news from The Business Times - Singapore's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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