AI and the Global Economy: From Risk to Opportunity

AI and the Global Economy: From Risk to Opportunity 

Inside the IMF-World Bank Annual Meetings in Bangkok 

On 16 October 2026, inside the Queen Sirikit National Convention Center in Bangkok, the same hall that welcomed the world to the 1991 meetings, the 2026 IMF-World Bank Group Annual Meetings were in full swing. 

One of the sessions drawing the biggest crowd was a panel titled "AI and the Global Economy: From Risk to Opportunity." Every seat was taken. On stage were IMF Managing Director Kristalina Georgieva, the Governor of the Bank of Canada, DHL CEO Tobias Meyer, Anthropic co-founder Jack Clark and a Singaporean tech co-founder. 

After a few playful questions about interest rates and IPOs, the conversation turned to what everyone had come to hear: is AI lifting the world economy or putting it at risk? Who benefits, who is left behind, and who writes the rules?

🔹 AI is already here, but unevenly
Georgieva called it a technology unlike anything seen in our lifetimes, boosting growth for countries in the AI value chain while staying out of reach for many others. The Bank of Canada Governor pointed to a global investment boom visible in GDP, stock and bond markets, and trade flows. DHL's Meyer noted that an estimated 60-80% of incremental global trade growth in the first half of the year was AI-driven.

🔹 The productivity payoff is still ahead
 Companies are struggling to turn individual productivity gains into real business transformation. Georgieva pointed to Amara's law: we overestimate a technology's short-term impact and underestimate its long-term effect. Meyer drew parallels with the dot-com era, and said DHL focuses AI on high-volume tasks like customs clearance and customer service.

🔹 What about jobs?
Georgieva shared IMF research on the labor market:
• About 10% of jobs now require new skills and pay more.
• Repetitive-task jobs are at risk.
• Wealth effects are boosting demand for services, but those jobs often pay less, so young people who would have taken professional roles are ending up serving coffee.

The panel highlighted Singapore's approach, summed up in its prime minister's words: "We may not be able to protect every job, but we will protect every worker."

🔹 Who sets the guardrails?
Georgieva compared AI's pace to a Formula One race without safety barriers. Clark went further, calling it Formula One at night, possibly without brakes. His answer was common standards, transparency and third-party testing, with some basics already shared worldwide, such as no help with biological weapons and safeguards against cyber offense. The panel agreed that governments can't regulate fast enough alone, and that companies, governments and international bodies must share responsibility.

🔹 Making it work for everyone
Georgieva set out the preconditions: electricity and digital access (half of Africa lacks internet access), skills, diffusion across agriculture, health and education, and a real ethical foundation.

The final note from this session is that AI’s benefits are real but not automatic. They depend on adoption, skills, shared standards and leaders willing to act together.

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