“I myself took training on AI and became a master of Co-pilot because we all have to step forward.” – Kristalina Georgieva – Managing Director, IMF
Kristalina Georgieva’s statement underscores a pivotal moment in leadership amid artificial intelligence’s rapid integration into economies worldwide. Delivered during a World Economic Forum Town Hall in Davos in 2026, addressing dilemmas around growth, her words reflect not only strategic foresight but a hands-on commitment to adaptation. As Managing Director of the International Monetary Fund (IMF), Georgieva has positioned herself at the forefront of navigating AI’s dual potential for productivity gains and labour disruption1,2.
Who is Kristalina Georgieva?
Born in 1953 in Bulgaria, Kristalina Georgieva rose through academia and public service to become one of the most influential economists globally. She holds a PhD in economic modelling and applied economics from Sofia University. Her career spans environmental economics at the World Bank, where she served as Chief Economist for Sustainable Development, to high-level European Union roles, including Commissioner for International Cooperation, Humanitarian Aid and Crisis Response, and Vice-President for Budget and Human Resources. Appointed IMF Managing Director in 2019, she navigated the institution through the COVID-19 pandemic, geopolitical tensions, and now AI-driven transformations. Georgieva’s leadership emphasises resilience, equity, and proactive policy-making in uncertain times1,2.
Context of the Quote: AI’s Tsunami on Global Jobs
Georgieva spoke at the WEF 2026 Town Hall on ‘Dilemmas around Growth,’ where she warned that AI will impact 40% of global jobs over the next few years – enhanced, eliminated, or transformed – rising to 60% in advanced economies. Entry-level positions face the brunt, described by her as a ‘tsunami’ hitting the labour market. This assessment draws from IMF research highlighting AI’s uneven effects: productivity boosts in sectors like agriculture, healthcare, and translation services, yet risks of inequality if skills gaps persist, especially in emerging and low-income countries (20-26% exposure)1,3,4. Her personal training in AI tools like Microsoft Copilot exemplifies the ‘step forward’ she advocates, urging leaders and workers to embrace reskilling for AI-enhanced roles1.
Broader Economic Backdrop in 2026
Georgieva’s remarks occur against a backdrop of subdued global growth (projected at 3.3% for 2026, below pre-pandemic 3.8% averages), geopolitical fragmentation, and technological shifts. AI offers a potential 0.1-0.8% annual productivity lift, capable of restoring pre-pandemic trajectories, but demands infrastructure, skills investment, and ethical regulation. She stresses flexibility – teaching ‘how to learn’ over specific jobs – with Northern Europe exemplifying success through historical education investments1,2.
Leading Theorists on AI, Productivity, and Labour
Georgieva’s views align with seminal thinkers on technology’s economic impact:
- Erik Brynjolfsson and Andrew McAfee: MIT scholars and authors of The Second Machine Age, they argue AI marks a qualitative leap from prior automation, targeting cognitive tasks across skill levels. Without policy intervention, it risks widening inequality by favouring capital owners and high-skill workers while displacing middle-skill jobs1.
- Shoshana Zuboff: Harvard professor and author of The Age of Surveillance Capitalism, Zuboff contends AI systems embed political choices on power and surveillance, urging ethical frameworks to prevent inequality concentration1.
- Daron Acemoglu and Simon Johnson: MIT economists whose work on automation (e.g., Power and Progress) warns that technological choices determine whether AI drives shared prosperity or elite capture, echoing Georgieva’s call for equitable distribution2.
These theorists collectively reinforce Georgieva’s message: AI’s path depends on human agency – through training, regulation, and inclusive policies – rather than inevitability.
Implications for Leaders and Economies
Georgieva’s example of mastering Copilot signals that leadership in the AI era requires personal adaptation alongside systemic reforms: upskilling workforces, bridging digital divides, and fostering ‘together we are more resilient’ collaboration. Her vision positions AI not as a divisive force but a ‘miracle’ for better jobs and lives, if harnessed proactively1,2.
References
1. https://globaladvisors.biz/2026/01/23/quote-kristalina-georgieva-managing-director-imf/
4. https://www.weforum.org/stories/2026/01/live-from-davos-2026-what-to-know-on-day-2/
