IMF warns AI investment is reshaping the global economy while putting millions of jobs under pressure

Published October 12, 2026 | Global economy — International Monetary Fund and World Bank

Artificial intelligence is becoming an increasingly important driver of global economic growth, but the benefits may come with substantial disruption to employment, education and public finances. On October 12, International Monetary Fund Managing Director Kristalina Georgieva highlighted the economic effects of the global AI investment boom during meetings involving the IMF and World Bank in Bangkok, Thailand. According to Reuters, the IMF expects global economic growth to remain around 3%, with investment in AI infrastructure helping to support economic activity despite wider pressures, including energy supply shocks. At the same time, Georgieva warned that AI could fundamentally change labour markets, creating difficult questions for governments, employers and workers.

What exactly did the IMF say?

The IMF’s message is that AI is already influencing the global economy through investment, productivity expectations and changes in how businesses organise their work. Technology companies and other organisations are committing substantial resources to computing infrastructure, including data centres, advanced chips and the systems needed to train and operate AI models.

These investments generate demand for equipment, construction, electricity, networking and specialist services. They can also encourage companies to redesign their operations around automation and AI-assisted decision-making. The resulting economic activity reaches well beyond the technology industry itself.

Reuters reported that Georgieva estimated AI investment could boost growth in advanced Asian economies by between 0.5 and 1 percentage point, while emerging Asian economies could see gains of approximately 0.2 to 0.8 percentage points. These figures are regional estimates discussed in the context of Asia, not guaranteed gains for every country or a forecast that all economies will experience the same effect.

The IMF also warned that AI could affect up to 60% of jobs in advanced economies. This figure requires careful interpretation. Exposure to AI does not mean that 60% of jobs will disappear. Some roles may be automated partly, others may change substantially, and some workers may become more productive with AI assistance. The ultimate effect will depend on the tasks involved, how quickly employers adopt the technology and whether new opportunities emerge.

Background: Why AI requires so much investment

Today’s advanced AI systems depend on extensive computing infrastructure. Training sophisticated models can require large clusters of specialised processors, while serving millions of users requires reliable computing capacity, storage, networking and energy.

Companies are investing because they expect AI to create new products, reduce operating costs and improve productivity. A financial institution might use AI to analyse documents more quickly. A manufacturer could apply machine learning to identify equipment problems. A software company might use AI assistants to speed up development and testing.

However, investment does not automatically translate into immediate economic gains. Building infrastructure takes time, and organisations must learn how to integrate AI into their existing processes. Some projects will deliver strong returns, while others may struggle with high costs, unreliable results or difficulties changing established working practices.

There is also a concentration risk. If a small number of technology companies capture a disproportionate share of the benefits, productivity gains may not be distributed evenly across the economy. Countries with reliable electricity, advanced infrastructure, skilled workers and access to computing resources may be better positioned to benefit than those lacking these advantages.

The IMF’s concerns therefore extend beyond whether AI will make businesses more efficient. They also involve who owns the technology, who earns the returns and who bears the cost of the transition.

What does this mean for workers in the Netherlands and Europe?

For employees, the practical question is not simply whether AI will take their jobs. It is which parts of their work are likely to change, and whether they will receive the training and support needed to adapt.

Administrative workers may increasingly use AI to draft correspondence, summarise documents and process information. Programmers could automate repetitive coding tasks, while marketing teams might generate and evaluate multiple campaign ideas more quickly. In healthcare, AI tools may assist with documentation and information analysis, although professional judgement and patient safety remain essential.

Entry-level positions deserve particular attention. Some junior roles involve repetitive tasks that traditionally help workers develop experience. If companies automate those activities without creating alternative training opportunities, younger workers could find it harder to acquire the skills needed for more advanced positions.

Yet automation can also create opportunities. Businesses may expand when AI reduces costs, develop new products or redirect employees towards tasks that require communication, creativity, judgement and specialist knowledge. These outcomes are possible, not guaranteed.

For the Netherlands, the challenge is to combine technology adoption with investment in education, vocational training and lifelong learning. Employers can help by providing practical AI training rather than expecting staff to teach themselves. Schools and universities can prepare students to use AI critically, understand its limitations and develop skills that complement automation.

Public finances and inequality are also at stake

Georgieva warned that AI could place pressure on taxation systems as economies become more capital-intensive. If businesses generate more output with fewer employees, governments may face changes in the relationship between wages, profits and tax revenue.

The consequences will depend on how economic gains are distributed and how national tax systems are designed. There is no single inevitable outcome, but policymakers may need to examine whether existing arrangements remain appropriate as work changes.

Inequality presents another concern. Workers with advanced digital skills may be able to benefit quickly from AI, while those whose jobs are heavily affected may need substantial retraining. Countries that lack access to infrastructure could also fall further behind economies that can deploy AI at scale.

The IMF’s warning is not that AI will necessarily cause economic decline. Rather, it is that the transition could be disruptive even if overall economic output continues to grow.

What happens next?

Governments, businesses and educational institutions will need to monitor actual productivity improvements, employment patterns and the distribution of economic gains. Announced investments and projections are useful indicators, but they should not be confused with measured results.

For employers, the priority should be to identify where AI genuinely improves performance, assess its risks and involve workers in decisions about changing roles. For policymakers, it means preparing training programmes, reviewing labour-market protections and ensuring that economic benefits are not confined to a narrow group.

The central question is how quickly societies can adapt. AI investment may help support growth, but long-term success will depend on whether people and institutions can turn technological progress into broadly shared improvements in living standards.

Sources

– Reuters — IMF says AI investment keeps global growth around 3% but brings major disruption