
Kristalina Georgieva urges governments and technology companies to strengthen oversight as rapid advances in artificial intelligence raise concerns about employment, financial stability and widening economic inequality.International News | Bangkok, Thailand | October 16, 2026
The Managing Director of the International Monetary Fund, Kristalina Georgieva, has warned that artificial intelligence could create greater economic risks than benefits if its rapid development continues without adequate safeguards. Speaking on Friday, October 16, 2026, during the IMF and World Bank Annual Meetings in Bangkok, Thailand, Georgieva called for stronger oversight as governments and businesses increasingly adopt AI-powered technologies. She expressed concern about potential job displacement, financial instability and growing inequality between countries with different levels of technological development. Her warning came as financial policymakers, economists and technology executives examined how AI could transform the global economy while creating challenges that existing regulatory systems may not be fully prepared to address.
Georgieva acknowledged that artificial intelligence could improve productivity, accelerate innovation and support economic growth, but cautioned against allowing technological progress to move ahead without clear rules. She compared uncontrolled AI development to a Formula One car racing in darkness without adequate safety measures, using the illustration to emphasise the dangers of pursuing speed without sufficient preparation. The IMF chief argued that technology companies should take responsibility for developing safer systems, while governments must establish policies capable of addressing wider economic and social consequences. She favoured a combination of industry standards and public oversight rather than relying entirely on voluntary commitments. Her message was that innovation and regulation should develop together, allowing countries to benefit from AI without overlooking the risks associated with its expanding use.
For workers, one of the most immediate concerns is how artificial intelligence could change the jobs they perform every day. Businesses are increasingly using AI tools to prepare reports, analyse financial records, respond to customer enquiries and handle administrative tasks. These systems can help employees complete assignments more quickly, but they may also reduce demand for certain responsibilities or change the skills employers expect. A customer service worker, for example, may find that routine enquiries are increasingly handled by automated systems, while human employees concentrate on more complicated problems. Similar changes could affect banking, accounting, office administration and other information-based occupations. IMF discussions highlighted the importance of preparing workers for these changes through training, education and policies that help people move into new roles when their existing responsibilities are altered.
The concerns are supported by earlier IMF research examining the potential effects of AI on employment worldwide. In January 2024, the institution estimated that almost 40 per cent of global employment was exposed to artificial intelligence, with the proportion rising to approximately 60 per cent in advanced economies. However, the IMF stressed that exposure does not mean every affected job will disappear. In some occupations, AI could assist employees and improve productivity, while in others it could take over important tasks, reduce hiring or place pressure on wages. The research also estimated that emerging markets and low-income countries faced different levels of exposure because of their economic structures. These findings remain relevant as businesses adopt more advanced AI systems and governments consider how to protect employment opportunities without preventing technological development.

Another concern raised at the Bangkok meetings was the enormous investment flowing into artificial intelligence. Technology companies are spending heavily on data centres, advanced computer chips, electricity infrastructure and software development, expecting demand for AI services to continue expanding. Although these investments have supported activity in technology-related industries, economists warned that expectations about future profits and productivity gains may prove overly optimistic. Bundesbank President Joachim Nagel and economist Dani Rodrik were among those who raised concerns about the scale of investment and uncertainty over the results. If businesses fail to achieve the financial returns investors expect, confidence could weaken, potentially affecting technology shares, companies dependent on AI infrastructure and wider financial markets. The IMF’s concern is not that investment in AI is necessarily misguided, but that excessive expectations can create economic vulnerabilities when actual results fall short.
The debate also revealed differences in how countries are positioned to benefit from the technology. Wealthier economies generally have greater access to computing infrastructure, reliable electricity, fast internet connections and workers trained in advanced digital skills. Many developing countries, including those in Africa, face greater difficulties in these areas. Georgieva emphasised that access to electricity and digital infrastructure is essential if artificial intelligence is to benefit a broad range of economies. Without those foundations, businesses in less developed markets could struggle to compete with companies operating in countries where advanced technology is more accessible. For African economies such as Nigeria, the discussions carry particular relevance because AI offers opportunities in financial services, education, healthcare and business administration, while infrastructure gaps and unequal access to training could limit those benefits.
Technology industry representatives also participated in the discussions, offering perspectives on how AI development should be managed. Jack Clark, co-founder of the artificial intelligence company Anthropic, said industry standards were beginning to emerge, particularly in the United States and European Union, but argued that important safeguards should not remain entirely voluntary. His position added weight to calls for governments and developers to cooperate on practical oversight measures. Other participants raised questions about how regulations could address increasingly capable AI systems without discouraging investment or slowing useful innovation. While technology can support scientific research, medical care and business productivity, its growing capabilities also create responsibilities for developers and institutions using it. The central disagreement is therefore not simply whether AI should advance, but how responsibility for managing its potential harms should be shared between companies and public authorities.
Central bankers attending the meetings also examined the consequences of technological disruption for employment and economic policy. Bank of Canada Governor Tiff Macklem drew comparisons between the spread of artificial intelligence and earlier periods of globalisation, when economic change created opportunities in some industries while disrupting employment in others. His remarks highlighted the need for systems that help workers adjust when technological developments alter the demand for their skills. Governments may face increasing pressure to strengthen vocational training, update education programmes and provide support for workers moving between occupations. These measures could become particularly important where AI adoption advances faster than employees can retrain. The broader challenge is ensuring that productivity improvements translate into meaningful opportunities for workers rather than leaving the benefits concentrated among a relatively small group of companies and highly skilled professionals.

Alongside employment and investment, the meetings highlighted the growing importance of cybersecurity and financial resilience. As banks, businesses and public institutions incorporate AI into their operations, they may become more dependent on automated systems for decision-making, fraud detection and customer services. Such technologies can improve efficiency, but they can also introduce new vulnerabilities if poorly designed or inadequately supervised. Advanced AI tools may be exploited to conduct more sophisticated cyberattacks, manipulate information or target financial infrastructure. The IMF’s October 16 programme included a separate discussion devoted to escalating cyber risks and their implications for economic and financial stability. These concerns demonstrate that effective AI oversight involves more than deciding how technology companies should operate. It also requires protecting financial systems, strengthening digital infrastructure and ensuring that organisations remain capable of responding when automated technologies fail or are misused.
As the IMF and World Bank Annual Meetings continue in Bangkok, Georgieva’s warning has placed renewed attention on whether governments can respond quickly enough to the economic changes driven by artificial intelligence. The technology offers opportunities to improve productivity, expand services and support growth, but its benefits are unlikely to be shared equally without investment in infrastructure, education and responsible oversight. For workers, the important question is whether new opportunities will emerge as existing responsibilities change. For businesses, it is whether the substantial investments being made in AI will deliver sustainable returns. For governments, the challenge is establishing safeguards that protect people and financial systems without unnecessarily restricting innovation. The discussions have not produced a single international framework governing artificial intelligence, but they have reinforced a central concern: the future impact of AI will depend not only on what the technology can achieve, but also on the choices made about how it is developed, regulated and used.



























