The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale
Sinan Aral, Haiwen Li, Rui Zuo

TL;DR
This study analyzes the rapid global expansion of AI search, revealing significant shifts in information exposure, source diversity, and credibility, with profound implications for human judgment and policy worldwide.
Contribution
It provides the first large-scale empirical analysis of AI search deployment and its effects on information diversity, credibility, and policy implications across multiple countries.
Findings
AI search exposure expanded from 7 to 229 countries between 2024 and 2025.
AI answered over 66% of Covid queries in 2025, a 5600% increase from 2024.
AI search surfaces fewer sources, with lower diversity and credibility, impacting information ecosystems.
Abstract
We executed 24,000 search queries in 243 countries, generating 2.8 million AI and traditional search results in 2024 and 2025. We found a rapid global expansion of AI search and key trends that reflect important, previously hidden, policy decisions by AI companies that impact human exposure to AI search worldwide. From 2024 to 2025, overall exposure to Google AI Overviews (AIO) expanded from 7 to 229 countries, with surprising exclusions like France, Turkey, China and Cuba, which do not receive AI search results, even today. While only 1% of Covid search queries were answered by AI in 2024, over 66% of Covid queries were answered by AI in 2025 -- a 5600% increase signaling a clear policy shift on this critical health topic. Our results also show AI search surfaces significantly fewer long tail information sources, lower response variety, and significantly more low credibility and right-…
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Taxonomy
TopicsEthics and Social Impacts of AI · Misinformation and Its Impacts · Artificial Intelligence in Healthcare and Education
