As companies accelerate the adoption of artificial intelligence, experts are warning that AI governance is becoming a business-wide challenge that extends beyond technology and into social, economic and environmental issues.
According to industry experts in Singapore, businesses are increasingly focusing on AI-driven productivity and efficiency, but concerns over workforce disruption, inequality and rising energy consumption are creating new governance challenges.
Steven Okun, Founder and CEO of a Singapore-based advisory firm, said AI-related risks cut across industries and geographies. He pointed to DBS Bank’s plan to reduce around 4,000 temporary and contract roles over 3 years while creating about 1,000 AI-related jobs.
A recent global talent trends report by an accounting standards organisation showed that 31% of respondents in Singapore now view job replacement by technology as their biggest workplace fear, compared with 8% in 2025. Experts warned that without greater investment in reskilling, AI could deepen inequality and affect social stability.
Women are considered more vulnerable to automation, with around 70% of female workers in Southeast Asia employed in occupations with high exposure to automation risks. Experts also highlighted the often-unseen role of content moderators and data labellers in lower-income countries who support AI development.
“AI is often framed as the great equaliser. The reality is the opposite,” said Okun. “Without deliberate action, AI’s gains flow to those already ahead, widening Singapore’s divides rather than closing them.”
The rapid growth of AI is also increasing pressure on energy systems through expanding data centre infrastructure, raising concerns over electricity, water and land consumption.
Experts stressed that responsibility for preparing the workforce should not fall on individuals alone. Businesses, educators and policymakers need to strengthen lifelong learning, critical thinking and ethical decision-making.
Data governance has also emerged as a major concern, especially as AI-powered software platforms increasingly handle sensitive client information. Experts said organisations need clear governance frameworks and ethical principles to ensure AI adoption aligns with regulations and societal expectations.
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