Artificial intelligence is becoming an increasingly important part of the global economy, but international economic leaders are warning that its rapid growth must be managed carefully. At the IMF and World Bank meetings in Bangkok, Thailand, on October 16, 2026, experts discussed how AI could transform businesses, employment and economic opportunities around the world.
International Monetary Fund Managing Director Kristalina Georgieva called for stronger safeguards to manage the risks associated with rapidly advancing AI. The discussions also highlighted the need to prepare workers for changes in the job market as companies introduce new automation tools.
Why the IMF Is Calling for AI Safety Rules
AI systems can analyse information, generate content, assist with research and automate certain business tasks. These capabilities could help companies become more productive and allow workers to complete some activities more efficiently.
However, the speed of AI development has raised questions about whether governments, businesses and regulators are keeping pace with the technology.
During the Bangkok discussions, Georgieva compared AI to a high-speed racing car that needs barriers to prevent dangerous accidents. Her message highlighted the importance of developing safeguards while allowing the technology to deliver economic benefits.
Experts at the meetings also discussed the need for cooperation between technology companies, policymakers and other sectors to address risks before they become more difficult to manage.
How Artificial Intelligence Could Affect Jobs
One of the biggest questions surrounding AI is how it will change employment. Some tasks that previously required substantial human effort can now be assisted by software that processes information, drafts text or performs routine digital work.
This could change the responsibilities of workers in areas such as customer service, administration, data processing and content production. The impact will vary according to the job, the industry and how employers choose to use AI.
AI may also create new opportunities in software development, cybersecurity, data analysis, AI system management and other specialised fields. Yet workers whose tasks are automated may need additional training to move into new roles.
The challenge for governments and businesses will be to help people adapt to these changes rather than assume that the technology will benefit every worker equally.
Could AI Increase Economic Inequality?
The economic benefits of AI may not be distributed evenly. Companies with access to advanced technology, skilled employees and strong digital infrastructure could gain advantages over businesses that lack those resources.
Workers with opportunities to learn new digital skills may also find it easier to adapt than those who have limited access to training.
During the discussions in Bangkok, participants highlighted the importance of digital access and cybersecurity. Making AI tools accessible while protecting people from fraud and misuse will be an important part of ensuring that the technology supports broader economic development.
What Businesses Need to Do
Companies adopting AI should assess which tasks can be automated safely and where human judgement remains essential. They should also consider the accuracy of AI-generated information, the protection of confidential data and the potential consequences of automated decisions.
Training employees can help businesses introduce AI without leaving their workforce unprepared. Workers may benefit from learning how to use AI tools, check their output and apply them to practical problems in their industries.
Businesses should also establish clear rules about when AI can be used and when decisions require human review. These measures can help reduce errors and build confidence among customers and employees.
Why Governments Need to Prepare
Governments face the challenge of encouraging innovation while protecting workers and the public. Effective policies may need to address AI safety, privacy, cybersecurity, competition and access to education.
International cooperation could be particularly important because AI services and digital businesses frequently operate across national borders. Different regulatory approaches may create difficulties for companies and make it harder to respond to risks that affect multiple countries.
At the same time, regulation needs to account for the differences between AI applications. A tool that helps organise routine office work may present different risks from a system used in healthcare, financial decisions or critical infrastructure.
What This Means for Students and Job Seekers
Students and job seekers can prepare for an AI-driven economy by developing skills that combine technical knowledge with human judgement. Communication, problem-solving, creativity, critical thinking and industry expertise can remain valuable when used alongside digital tools.
Learning how to use AI responsibly may also help people work more efficiently. However, AI training alone cannot guarantee employment, and the skills required will depend on the career and local labour market.
For people already working, regularly updating professional skills and understanding how AI is changing their industry can help them respond to new expectations.
Conclusion
The discussions at the IMF and World Bank meetings in Bangkok show that AI is no longer only a technology issue. It is also an economic and employment issue that requires planning, cooperation and responsible use.
Artificial intelligence could improve productivity and create new opportunities, but it may also disrupt existing jobs and widen gaps between workers and businesses. Stronger safeguards, better digital access and practical training will be important as countries adapt to this changing environment.
The central challenge is to make AI useful for society while managing its risks and helping people prepare for changes in the world of work.
Editorial note: This article summarises discussions reported on October 16, 2026. The precise effect of AI on employment will vary by sector, country and the pace of adoption.