UN Report Says AI Risks Sparking a Modern Great Divergence
A United Nations Development Programme report released December 2 warns that artificial intelligence could widen global inequality unless governments act to spread capacity and governance. The report argues that without targeted investment in skills, data governance, and aid, wealthy countries and firms will capture most AI gains, leaving low income nations further behind.
The United Nations Development Programme warned December 2 that artificial intelligence threatens to create a new Great Divergence between rich and poor countries, unless policymakers adopt deliberate, coordinated measures to diffuse technology and build governance capacity. The report says technological diffusion is uneven worldwide, and capacity and infrastructure gaps could lock low income countries out of the benefits of AI driven growth.
UNDP researchers examined patterns of investment, data flows and institutional readiness and concluded that the current trajectory concentrates AI development and profits in advanced economies and large multinational firms. The report frames the risk as systemic rather than incidental, arguing that market forces alone are unlikely to distribute AI benefits broadly. Absent intervention, countries with limited broadband, cloud capacity, digital skills and data governance systems face the prospect of stagnating productivity and diminished prospects for upgrading their economies.
The immediate market implications could be stark for labor markets, trade and capital flows. Firms that control large language models and proprietary data stand to capture rising rents from automation and new digital services, reinforcing winners take most dynamics. For emerging markets that rely on commodity exports or low cost manufacturing, the report warns of a double squeeze: job displacement in routine tasks combined with limited ability to move upvalue chains that increasingly depend on data and AI expertise.
Development experts accompanying the report urged investment in three priority areas to prevent widening disparities. First, skills development at scale, including vocational and tertiary training in data science, software engineering and AI deployment. Second, data governance and digital public infrastructure to ensure that data can be used ethically and equitably, while enabling domestic enterprises to build on shared assets. Third, targeted aid and technical assistance that helps low income countries build regulatory frameworks, cloud capacity and publicly accessible datasets necessary for local innovation.
Policy prescriptions in the report emphasize international cooperation. The authors call for donor countries and international financial institutions to redirect some development finance toward digital capacity building, and for trade and finance rules to account for the new sources of value created by AI. They also highlight the need for regulatory interoperability so that smaller economies can participate in cross border data ecosystems without being forced into unfavorable terms.
Long term, the UNDP frames the risk as one of persistent divergence in productivity growth and living standards. If AI amplifies returns to capital and to highly skilled labor concentrated in a few markets, global inequality could become structurally entrenched. The report underscores that technology is not destiny, and that policy choices will determine whether AI becomes a force for shared prosperity or a multiplier of historical disparities.
The release comes amid intensifying debates over AI governance, taxation of platform rents, and the role of multilateral institutions in managing technological transitions. For policymakers in capitals and aid agencies in Geneva and beyond, the report is a prompt to treat AI policy as a central pillar of development strategy, not merely a technical adjunct to economic planning.
