# AI in Society > Exploring the societal impacts of AI with us ## Posts - [Adoption, Anxiety, and Reskilling: Generative AI among Gen Z and Millennial Workers, 2024–2025](https://aiinsocietyhub.com/adoption-anxiety-and-reskilling-generative-ai-among-gen-z-and-millennial-workers-2024-2025/): Overview As of writing this analysis, public commentary widely documents how generative artificial intelligence (GenAI) has changed the labour market landscape. Optimistically, existing scholarship highlights that labour market productivity has gained due to the AI boost (Brynjolfsson et al., 2023; Eloundou et al., 2023). Pessimistically, AI-driven automation may displace human labour, raising concerns about occupational displacement among workers performing tasks vulnerable to automation (Acemoglu & Restrepo, 2019; OECD, 2023). When discussing the intersection between GenAI and the labour market, the demographic population being affected the most is arguably the younger workforce, especially Gen Z. This analysis is written to examine […] - [Animal Welfare and Policy Risk Index (AWPRI): Constructing and Validating a Cross-National Governance Risk Measure, 25 Countries, 2004–2022](https://aiinsocietyhub.com/animal-welfare-and-policy-risk-index-awpri/): Abstract While animal welfare governance continues to be influenced by technological advancement and automation, there is an absence of longitudinal, cross-country, quantitative index that simultaneously features the governance baseline, the direction of policy change, and the compounding risk posed by agricultural artificial intelligence (AI) adoption. This paper introduces the Animal Welfare and Policy Risk Index (AWPRI), a composite risk index covering 25 countries over the period 2004–2022 (N = 475 country-year observations). The AWPRI is constructed from 15 variables organised across three equal-weighted conceptual layers: Current Welfare State (L1), Policy Trajectory (L2), and AI Amplification Risk (L3). Variables are normalised to […] - [Trajectories and Comparative Analysis of Global Countries Dominating AI Publications, 2000-2025](https://aiinsocietyhub.com/research-ai-publications-global-dominance-2000-2025/): Abstract This study investigates the shifting global dynamics of Artificial Intelligence (AI) research by analysing the trajectories of countries dominating AI publications between 2000 and 2025. Drawing on the comprehensive OpenAlex datasets and employing fractional counting to avoid double attribution in co-authored work, the research maps the relative shares of AI publications across major global players. The analysis reveals a profound restructuring of the international AI research landscape. The US and the European Union (representing EU27), once the undisputed and established leaders, have experienced a notable decline in relative dominance, with their combined share of publications falling from over 57% […] - [Gen Z and AI: Education, Well-being, and the Labour Market](https://aiinsocietyhub.com/gen-z-and-ai-education-well-being-and-the-labour-market/): Generation Z (Gen Z) is widely considered the first cohort to come of age entirely in the epoch of generative artificial intelligence (AI). There is no universally agreed-upon definition of the age range for Gen Z. Australia’s McCrindle Research uses those born between 1995 and 2009 to address Gen Z; McKinsey & Company defines Gen Z as those born between 1996 and 2010; Pew Research Centre refers to Gen Z as those born between 1997 and 2012. While Gen Z are the most active adopters of generative AI, existing scholarship argues that adoption has outpaced institutional preparation and service delivery. […] - [The Global AI Dataset (GAID) Project: From Closing Research Gaps to Building Responsible and Trustworthy AI](https://aiinsocietyhub.com/the-global-ai-dataset-gaid-project-from-closing-research-gaps-to-building-responsible-and-trustworthy-ai/): Since November 2025, I have been building a periodically updated global panel dataset on artificial intelligence (AI). As a quantitative social and health data scientist and applied policy researcher who is transitioning into AI safety and AI societal impact research, I was disappointed by the fact that global panel data on AI are scattered. Existing Data and Research Problems Without centralised global panel data on AI, researchers and data scientists are discouraged from easily accessing comprehensive AI datasets for research. As currently constructed, different institutions publish their global AI data reports or datasets on their websites for public downloads, with […] - [The Point of Separation: Data Suggests AI is Forcing a Global “Learn It or Be Phased Out” Career Divergence](https://aiinsocietyhub.com/the-point-of-separation-data-suggests-ai-is-forcing-a-global-learn-it-or-be-phased-out-career-divergence/): In the thirty years of my life, I have experienced different phases of digital evolution. Born at the beginning of the dotcom bubble, our world has transitioned to social media popularisation, followed by the artificial intelligence (AI) hype, integration and advancement. Eleven years ago, when I began my undergraduate studies, I was recommended to, and ended up, studying quantitative social science, given how many UK professors acknowledged that purely qualitative and humanities scholars could hardly survive under the big data epoch. Fast forward to today, and the same could be said about AI: We either learn and practise it, or […] ## Pages - [Global AI Dataset (GAID) Project](https://aiinsocietyhub.com/research/gaid/) - [Research](https://aiinsocietyhub.com/research/) - [AI Must-Read Books](https://aiinsocietyhub.com/books/) - [AI Opportunities Board](https://aiinsocietyhub.com/opportunities/) - [Articles](https://aiinsocietyhub.com/articles/) - [Home](https://aiinsocietyhub.com/home/) [comment]: # (Generated by Hostinger Tools Plugin)