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Singapore AI Strategy Lawrence Wong Warns of Market Risks and Calls for Safeguards

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Singapore aims to turn the AI boom into better jobs while addressing market uncertainty, autonomous-system risks and the need for global safeguards.

By News National Editorial Team

Singapore is seeking to turn the rapid growth of artificial intelligence into long-term economic benefits while preparing for the possibility of a market correction and addressing concerns about increasingly autonomous AI systems. Prime Minister Lawrence Wong outlined the country's approach during a discussion at the Forbes Global CEO Conference in Singapore on October 8, saying the current investment boom would not last indefinitely.

His comments reflect a wider international debate over how businesses and governments can benefit from AI without overlooking financial risks, worker impacts and potential threats from powerful systems operating with limited human oversight.

Singapore wants lasting economic benefits from AI

Wong said the current AI boom had benefited Singapore's semiconductor industry and related sectors. Although the country does not manufacture the most advanced AI chips, it has an established semiconductor ecosystem that includes memory-chip and specialty-chip producers, precision-engineering companies and equipment suppliers.

The government wants to use the period of strong external demand to develop new capabilities and create better jobs for Singaporeans. Wong also noted that AI-related investment can generate wider economic benefits in areas such as logistics and professional services.

However, he cautioned that a correction could occur at an uncertain time and have consequences for companies and investors. His remarks were a warning about uncertainty rather than a prediction of when a downturn would happen.

Global concern over AI safety

At conferences in Singapore during the same week, investors and policymakers raised concerns about both the financial sustainability of AI investment and the technology's potential risks.

Reuters reported that Singapore Foreign Minister Vivian Balakrishnan warned about the dangers of AI-driven weapons and the difficulty of maintaining human control over autonomous agents. Biocon founder Kiran Mazumdar-Shaw also raised concerns about possible misuse of AI in developing dangerous biological agents. These are concerns about potential risks, not claims that such incidents have occurred in Singapore.

Wong argued that no single country could address all risks associated with powerful AI systems. He said international standards and safeguards would be needed, potentially through the United Nations, while acknowledging that developing such arrangements would take time.

He also said safeguards should vary according to the sector and the risks involved. Applications in finance, healthcare and transport may require different levels of human supervision and regulatory oversight.

What AI means for jobs

The impact on employment remains a key question for Singapore's workforce. Government data published in April 2026 found that 71.5 per cent of surveyed firms had not yet adopted AI. Among firms that had begun using the technology, the Ministry of Manpower reported productivity improvements at many businesses and no evidence of widespread job displacement at that stage.

The report also found that some firms were redesigning existing roles and creating new AI-related jobs. These findings suggest that the effect on employment will depend on how companies integrate AI into their operations, the tasks involved and the availability of training. They should not be interpreted as a guarantee that future job losses will not occur.

Wong said Singapore's approach was to protect workers rather than attempt to preserve every existing job unchanged. That approach places importance on cooperation among employers, unions and government, as well as helping employees build skills for changing roles.

The challenge ahead

Singapore faces two related tasks: making productive use of AI investment while ensuring that businesses do not rely on unrealistic expectations of future returns, and building safeguards as AI systems become more capable.

For companies, this means evaluating AI projects on measurable benefits, managing risks and training employees to use new tools effectively. For policymakers, it means balancing innovation with appropriate oversight, including clear responsibility when AI systems make consequential decisions.

The country's message is not to abandon AI development, but to make the most of current opportunities while preparing for economic and technological uncertainty. Whether that approach succeeds will depend on investment quality, workforce adaptation, international cooperation and the effectiveness of safeguards.

Sources

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