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While individuals rapidly adopt AI, governments and businesses are struggling to keep pace with the technology's speed and policy needs.
Artificial intelligence is advancing at a velocity that individuals are embracing, yet institutions are struggling to match the pace. In Singapore, a historical pattern of government-led economic transitions is being disrupted as citizens adopt tools faster than the state [1]. Similarly, in the United States, technology is advancing faster than policy can be developed, creating a complex landscape for future governance [2].
Key takeaways
For decades, Singapore’s economy followed a model where the government identified the next wave and built infrastructure for businesses to follow. However, artificial intelligence represents a shift where the population is moving faster than institutions. According to a Ministry of Manpower report, 71.5 per cent of Singapore companies have not started using AI, and only 3.8 per cent have integrated it into core business processes [1]. This disconnect has the potential to undermine business transformation and erode productivity gains [1]. Meanwhile, individuals are leveraging the technology rapidly; one family in Singapore reported that their 8-year-old daughter used ChatGPT and other tools to build a functional app for a physical game in just three hours [3].
The speed of advancement is creating challenges for governance, particularly in the United States. Technology is advancing faster than policy can be developed, making AI a consequential issue for the economy and national security [2]. Analysts note that serious candidates for the 2028 presidential election will need to build frameworks to address issues ranging from data centers to cyberwarfare, as they cannot wait for the technology to stabilize [2]. Jason Elliott, a former deputy chief of staff for California Gov. Gavin Newsom, stated he has "never seen an issue move as quickly as AI," noting that elected officials' positions must evolve as the technology changes daily [2].
The widening gap between rapid technological adoption and institutional response poses risks to economic stability and public trust. As businesses fail to integrate AI, they risk falling behind in productivity, while governments face the difficult task of regulating a moving target that impacts individual liberty and security [1, 2].
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