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IMF and World Bank Leaders Warn About AI Risks to Jobs as Global Economy Faces Major Transformation

ENS NEWS | World News & Technology | October 17, 2026

ENS NEWS | World News & Technology | October 17, 2026


Global financial leaders are calling for stronger safeguards, workforce retraining and responsible artificial intelligence development as concerns grow over job displacement, economic inequality and financial instability.

BANGKOK, THAILAND — Artificial intelligence is rapidly transforming the global economy, creating opportunities for innovation and economic growth while raising serious concerns about employment, income inequality and the future of human labour.

These concerns have become a central subject of discussion at the 2026 Annual Meetings of the International Monetary Fund (IMF) and World Bank Group in Bangkok, Thailand, where policymakers, economists, business executives and development leaders are examining how governments can prepare for the next phase of technological change.

The meetings, taking place from October 12 to 18, have brought renewed attention to the relationship between artificial intelligence, economic development, financial stability and job creation. Rather than treating AI solely as a technological breakthrough, global leaders are increasingly examining its potential effects on ordinary workers and communities.

IMF Warns That Artificial Intelligence Could Reshape Millions of Jobs

IMF Managing Director Kristalina Georgieva has warned that artificial intelligence could bring profound changes to employment across the world.

During discussions in Bangkok, Georgieva described the coming transformation as a slow-moving but powerful disruption to the labour market.

According to the IMF's assessment, approximately 40% of jobs worldwide could be affected by artificial intelligence. The level of exposure is estimated to be higher in advanced economies, where about 60% of jobs could experience significant changes, compared with approximately 23% in low-income countries.

However, these figures do not mean that 40% of workers will automatically lose their jobs. AI exposure includes situations in which technology improves human productivity, changes the responsibilities attached to existing occupations or replaces certain tasks altogether.

The distinction is important because the consequences of automation will depend on how companies adopt AI systems, how governments respond and whether workers have opportunities to acquire new skills.

Young Workers Could Face Greater Employment Challenges

One of the most concerning aspects of the AI transition is its potential effect on young people entering the workforce.

Traditionally, many graduates and first-time job seekers begin their careers in junior administrative, clerical, research or support positions. These roles allow employees to gain practical experience before progressing into more senior responsibilities.

Artificial intelligence is increasingly capable of performing some of the repetitive tasks associated with these entry-level positions.

For example, businesses can use AI systems to summarize documents, organize records, respond to routine customer inquiries, generate reports and process large quantities of information.

As these technologies become more capable, some employers may decide to reduce recruitment for positions involving highly repetitive duties.

The challenge is not simply that certain jobs may disappear. It is also that fewer entry-level opportunities could make it harder for young workers to develop the experience required for career advancement.

Georgieva highlighted this concern during the meetings, emphasizing the importance of examining changes in recruitment patterns and preparing younger workers for a different employment environment.

Artificial Intelligence Is Also Supporting Economic Growth

Despite the risks, artificial intelligence is contributing to investment and economic activity.

Technology companies are spending heavily on data centres, computing infrastructure, specialized equipment and advanced software systems.

These investments are supporting industries connected to construction, electricity generation, telecommunications, engineering and technology services.

The IMF has projected global economic growth of approximately 3.1% in 2026, with AI-related investment contributing to economic resilience in some countries.

However, the economic benefits are not being distributed equally.

Countries with advanced digital infrastructure, reliable electricity, strong educational institutions and access to investment capital are generally better positioned to benefit from AI development.

Other economies may struggle to participate fully in the transformation, particularly where internet connectivity, electricity supply and digital skills remain limited.

This uneven distribution of opportunities has raised concerns that artificial intelligence could widen existing economic differences between countries rather than automatically reducing them.

While much of the international conversation focuses on powerful AI models developed by major technology companies, the World Bank is also highlighting smaller and more affordable applications.

During a meeting session focused on practical AI and employment, World Bank Group President Ajay Banga joined other leaders to discuss how technology could support economic development and job creation.

The idea is that developing economies do not necessarily need the most expensive AI systems to achieve meaningful benefits.

Smaller applications designed for local languages, economic conditions and infrastructure can help businesses and communities address practical challenges.

In agriculture, AI-supported services could help farmers access information about weather conditions, crop diseases and market prices.

In healthcare, appropriately supervised digital tools could assist with administrative work and help health professionals organize information.

In education, AI-powered learning platforms could provide additional support for students and teachers, particularly where educational resources are limited.

For small businesses, affordable automation could improve bookkeeping, inventory management and customer service.

The World Bank's approach emphasizes using technology to improve productivity while creating opportunities for people rather than viewing automation exclusively as a way to reduce labour costs.

Why AI Could Widen the Gap Between Rich and Poor Economies

A major concern surrounding artificial intelligence is the possibility that its economic rewards will become concentrated among countries and companies that already possess substantial technological advantages.

Developing advanced AI systems requires access to computing equipment, electricity, skilled workers, large quantities of data and significant financial investment.

Wealthier economies often have greater access to these resources, allowing their businesses to adopt new technologies more quickly.

By contrast, smaller businesses in developing countries may face high internet costs, unreliable power supplies and limited financing.

This creates a risk that productivity improvements will occur faster in wealthy economies, widening differences in competitiveness and income.

However, practical AI applications could also provide developing countries with opportunities to improve services without building expensive computing infrastructure from the ground up.

The challenge for governments is to ensure that technological development becomes an instrument of economic inclusion rather than another source of inequality.

Financial Markets Face Risks From Heavy AI Investment

Employment is not the only issue worrying international financial institutions.

The IMF has also highlighted financial stability risks associated with the rapid expansion of AI investment.

Major technology companies are spending substantial amounts on data centres, semiconductor infrastructure and advanced computing systems.

Investors are supporting many of these projects because they expect artificial intelligence to generate significant future profits.

However, the economic benefits of AI may take longer to materialize than some investors anticipate.

If expected profits disappoint, financial markets could experience corrections affecting technology companies and businesses connected to the AI investment boom.

The IMF's October 2026 Global Financial Stability Report identified a possible AI-related market correction among the risks facing international financial markets.

Such a correction could affect investment confidence, borrowing conditions and economic activity beyond the technology sector.

During the Bangkok meetings, international policymakers and technology experts also examined the need for safeguards.

On October 16, Georgieva warned that the risks associated with artificial intelligence could become greater than its opportunities if governments and companies fail to establish adequate protections.

The discussion focused on balancing technological innovation with public safety, economic stability and accountability.

Among the issues requiring attention are cybersecurity, responsible use of personal information, transparency and the potential misuse of increasingly powerful AI systems.

There is also debate over how much responsibility technology companies should carry through voluntary standards and how much oversight governments should provide through regulation.

Some industry representatives support stronger international coordination, arguing that technological progress is moving faster than existing policy frameworks.

The challenge is to develop rules that reduce serious risks without preventing beneficial innovation.

What the AI Transformation Means for Canada

For Canada, artificial intelligence presents both economic opportunities and employment challenges.

Canadian businesses can use AI to improve productivity, analyze information, strengthen logistics operations and support research.

Industries such as banking, healthcare, manufacturing, transportation and professional services may increasingly incorporate AI-assisted systems.

However, workers whose responsibilities involve repetitive digital tasks may need additional training as their jobs evolve.

Administrative support, routine data processing and some customer service functions are examples of activities that can be partially automated.

At the same time, the adoption of AI can increase demand for workers with skills in cybersecurity, data management, engineering, system maintenance and technological oversight.

Bank of Canada Governor Tiff Macklem, participating in discussions in Bangkok, compared the employment challenges surrounding AI with previous economic transformations that created benefits for some workers while disrupting others.

This reinforces the importance of policies that help employees adapt rather than leaving individuals to manage technological change without support.

For Canadian workers, one practical response is to develop a combination of technical knowledge, communication skills, problem-solving abilities and experience using digital tools.

The future labour market may place increasing value on employees who understand how to work alongside AI systems while applying human judgment.

What Artificial Intelligence Means for Nigeria and Africa

For Nigeria and other African economies, the implications of artificial intelligence are particularly significant.

The continent has a large and growing young population, creating a strong need for sustainable employment opportunities.

AI could support entrepreneurship, digital services, agriculture, education and financial technology.

Nigerian businesses may benefit from affordable tools that improve customer communication, accounting, inventory management and online marketing.

Educational institutions could also use AI-supported learning platforms to expand access to digital training.

However, these opportunities depend on improvements in electricity, internet connectivity, technical education and access to affordable digital infrastructure.

There is also a risk that businesses in developing economies could become heavily dependent on foreign technology providers without building sufficient local expertise.

Governments therefore face the challenge of encouraging innovation while investing in domestic skills, supporting local businesses and protecting users.

The World Bank's emphasis on affordable, locally appropriate AI systems offers one possible direction for countries seeking economic benefits without the enormous costs associated with developing frontier AI models.

Education and Workforce Training Become More Important

The transformation of employment is placing new demands on education systems.

Traditional education often prepares students for specific occupations, but AI may change the responsibilities attached to those occupations throughout a person's career.

This means workers may need to update their skills repeatedly rather than relying entirely on qualifications obtained earlier in life.

Educational institutions could respond by strengthening digital literacy, analytical thinking, communication and practical technology training.

Vocational and technical education may also become increasingly important.

Workers in manufacturing, construction, healthcare and transportation could benefit from learning how automated systems affect their industries.

Employers also have a role to play by offering training opportunities rather than relying exclusively on replacing workers when new technology becomes available.

The International Labour Organization has called for productivity improvements to translate into better incomes, stronger job quality and wider economic opportunities.

Human Skills Will Remain Essential

Although artificial intelligence can perform many technical and administrative functions, human capabilities remain important.

Leadership, ethical judgment, interpersonal communication, creativity and responsibility are difficult to reduce to simple automated processes.

Many occupations also require physical activity, direct human interaction and decisions that depend on complex social circumstances.

Healthcare professionals, technicians, engineers, educators and skilled tradespeople may increasingly use AI tools without having all their responsibilities replaced.

The key distinction is between automating individual tasks and eliminating entire occupations.

A job may change substantially even when the occupation continues to exist.

For this reason, workers and employers should focus not only on whether AI can perform certain activities, but also on how technology can improve the quality and productivity of human work.

World Bank Highlights the Need for Large-Scale Job Creation

The employment challenge extends beyond artificial intelligence itself.

World Bank President Ajay Banga has emphasized the need to create economic opportunities for a rapidly growing global workforce.

The World Bank estimates that approximately 1.2 billion young people will enter the labour market over the next 10 to 15 years.

Meeting this demand will require substantial investment, private-sector development and policies that encourage businesses to create sustainable jobs.

AI could help address the challenge by improving productivity and supporting new industries, but technological progress alone will not guarantee sufficient employment.

Governments must also address barriers such as inadequate infrastructure, limited financing, weak education systems and difficulties facing small businesses.

The World Bank's development strategy increasingly emphasizes bringing together public resources, private investment and practical technology to expand opportunities.

Conclusion: Preparing Workers for an AI-Driven Economy

The discussions at the 2026 IMF and World Bank Annual Meetings demonstrate that artificial intelligence is no longer simply a subject for technology companies.

It has become a major economic and social policy issue with consequences for employment, education, taxation, investment and international development.

AI has the potential to increase productivity, support innovation and improve access to essential services.

However, its benefits may not reach everyone equally.

Young workers, people in routine occupations and communities with limited access to digital infrastructure could face particular challenges.

For governments, the priority is to prepare education systems, strengthen worker protections and establish responsible technological safeguards.

For businesses, the challenge is to adopt innovation while recognizing the importance of human skills and long-term workforce development.

For individuals, continuous learning and adaptability are becoming increasingly valuable.

The central question emerging from Bangkok is not simply how powerful artificial intelligence will become, but whether countries can manage its development in ways that create opportunities for more people.

ENS NEWS Analysis: The future of employment will depend not only on advances in artificial intelligence, but also on the decisions governments, employers and educational institutions make today.

Sources for the article

IMF — AI and the Global Economy: From Risk to Opportunity⁠

World Bank — 2026 Annual Meetings Plenary⁠

Official transcript — Small AI and Jobs discussion⁠

International Labour Organization — Productivity Growth and Workers⁠

Reuters — IMF Chief Warns About AI Risks⁠

This is an original ENS NEWS article written from verified reporting, official statements and independent analysis, rather than copied news text. The photograph above is a visual reference; verify image licensing before republishing it.


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