The National Bank of Moldova reported that Deputy Governor Mihnea Constantinescu spoke at the International Monetary Fund’s “New Economy Forum: AI and the Resilience Gap”, addressing how uneven adoption of artificial intelligence (AI) and concentration in data infrastructure and frontier models can create systemic dependencies and widen a resilience gap between countries. On a panel moderated by CNBC presenter Karen Tso alongside IMF Deputy Managing Director Bo Li, MIT Future Tech Director Neil Thompson, Anthropic Head of Economic Analysis Peter McCrory and McKinsey Global Institute Partner Anu Madgavkar, the discussion focused on policies to prevent countries from being left behind in leveraging AI for growth. Constantinescu highlighted that embedding AI into production processes depends heavily on the level of public and private sector digitalisation, with structured data, digitised processes and accumulated institutional capabilities as preconditions for extracting value from AI. He also pointed to governance challenges in hybrid human-algorithm decision chains, arguing that when autonomous AI agents become nodes in decision-making, traceability can erode and accountability may no longer align with established organisational hierarchies. Constantinescu participated as part of a National Bank of Moldova delegation led by Governor Anca Dragu at the IMF and World Bank Spring Meetings held on 13–18 April 2026.
National Bank of Moldova 2026-04-28
National Bank of Moldova deputy governor sets out AI resilience and accountability risks at the IMF New Economy Forum
The National Bank of Moldova reported that Deputy Governor Mihnea Constantinescu spoke at the IMF’s “New Economy Forum: AI and the Resilience Gap”, warning that uneven AI adoption and concentration in data infrastructure and frontier models can create systemic dependencies and widen resilience gaps between countries. He stressed that effective AI integration depends on public and private sector digitalisation and highlighted governance risks in hybrid human-algorithm decision chains, where autonomous AI agents may undermine accountability.