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Shared directors curb ‘AI wash’ in China: firms with stronger board interlocks are less likely to overclaim AI capabilities because interlocks amplify media scrutiny—more reports and longer coverage—raising reputational costs and exposure risk.
medium quasi_experimental Summary openalex
Board interlock network: regulatory allies or collusive pushers in AI wash?—An empirical test based on listed companies in China · Song Wu, Xinrui Zhang, Yan Zhu, Yao Yao, Qian Luo · Jun 20, 2026
AI-related competitive pressure correlates with illustrators' earnings on a Twitter artist community but accounts for just 7% of income differences; reputation, differentiation and adaptability remain the dominant drivers of financial sustainability.
low correlational Full text openalex
The Influence of Artificial Intelligence on Revenue Performance: Evidence from Platform-Based Illustrators · Fitria Ayu Lestari Niu, Shadrina Hadis, Radlyah Hasan Jan, Jamaludin Hasan · Jun 20, 2026
EU countries that adopt AI more intensively tend to be richer and employ proportionally more science and technology professionals; however, overall employment and sustainability gains are modest and less clear-cut.
low correlational Full text semantic_scholar
A comparative study of the relationships between AI use, employment, economic performance, and sustainability in the EU countries · A. Vărzaru, C. Bocean · Jun 19, 2026
AI diffusion in Chinese cities narrows penalties for overeducation while eroding undereducation premiums, with gains concentrated in non-manual roles; overall AI intensity is not strongly linked to average individual wages.
medium quasi_experimental Summary semantic_scholar
Technological diffusion, skill reconfiguration and wage adjustment: evidence from AI-induced mitigation of overeducation penalties · Feng Chen, Xiuwu Zhang, Jiangying Wei, Feng Yao, Xiangyu Wang · Jun 19, 2026
Survey evidence from Nigeria suggests AI adoption in agriculture and waste-to-energy is linked to noticeable gains in operational efficiency and environmental sustainability. But infrastructure shortfalls, unstable power, limited technical expertise and high costs remain major obstacles to wider impact.
low correlational Full text semantic_scholar
Cost-Benefit, Energy Sustainability and Technological Assessment of Artificial Intelligence Adoption in Nigeria’s Agricultural and Waste-to-Energy Systems · Nathan Udoinyang, Reuben Daniel, Akarue Blessing Okiemute, Aboh Peter Chukwuedu · Jun 19, 2026
AI innovation is concentrated in a handful of advanced economies and shows only a weak statistical link to aggregate productivity, while gains instead appear tied to localized accumulation of intangible capital; the result implies growth from AI may be concentrated rather than broadly diffused.
low correlational Full text openalex
The Illusionary Model of Relative Economic Growth in the Era of Artificial Intelligence · Gianmario Strappati · Jun 19, 2026
Social‑media algorithms fuel BNPL uptake among young consumers in Malaysia, Singapore and Indonesia by stoking FOMO and impulsive purchases; the same mechanisms that broaden access to credit also heighten overspending risks.
low correlational Full text openalex
Algorithmic Influence and Consumer Psychology in Buy-Now-Pay-Later (BNPL) Adoption: Evidence from Generation Z and Millennials in Southeast Asia · Ah Huai Ah Chan, Prashanth Beleya, Kaladevi Murugesu, Diana Airawaty, Sadegh Sal... · Jun 19, 2026
Risk-aware users can make LLMs look worse: when privacy, safety, or ethical concerns prompt limited disclosure and shallow interaction, model outputs decline and trust falls, creating a self-reinforcing cycle of guarded use. At scale this loop can narrow visible applications and strengthen negative narratives, with implications for organizational design, governance, and AI system interfaces.
n/a theoretical Full text openalex
The guarded engagement loop: risk salience and interaction-driven underperformance in generative AI adoption · Connie Syharat, Arash Zaghi, Sarira Motaref · Jun 19, 2026
Food-delivery giants in China and Russia exert market power not just via prices but through data, algorithms and ecosystem lock‑in; regulators should combine competition law, algorithmic transparency and social protections for couriers, with special measures for remote regions such as Yakutia.
low descriptive Summary openalex
Market power of digital online food delivery platforms: Chinese cases in the context of the development of Russia’s northern regions · Zhibo Zhou, Anna Mikhaylova · Jun 19, 2026
Concentrating influence and synchronizing agents raises collective output but makes systems more fragile; a moderate level of order — set by risk appetite — maximizes the trade-off between productivity and resilience.
n/a theoretical Full text arxiv
Optimal Order of Multi-Agent and General Many-Body Systems · Jake J. Xia · Jun 18, 2026
The most capable language models have become a decisive tool of cyber operations and are concentrated in a small Western-aligned perimeter that excludes African governments and institutions. Absent builders, compute, and investment, Africa is operationally dependent and already seeing AI-enabled attacks on mobile-money systems, prompting an urgent window for threat-sharing, governance adoption, and partnership on African terms.
medium descriptive Full text arxiv
Artificial Intelligence as Game Changer in Cybersecurity: What We Learned in 2025-2026, and how this is relevant for Africa · Mikael Alemu Gorsky · Jun 18, 2026
AI search engines amplify household-name brands and favor corporate pages and listicles: top brands appear in 73% of relevant AI answers versus 44% for mid-market and 11% for niche brands. Corporate websites receive about 78% of citations and 'best-of' listicles are the most-cited page type, while sentiment about brands flips far more often than mention/no-mention.
medium descriptive Full text arxiv
Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines · Pratyush Kumar · Jun 18, 2026
Algorithmic management expands gig work access in India but embeds opaque, unfair practices that undervalue labor; the authors recommend a pragmatic hybrid 'Algorithmic Human Manager' model to pair technological efficiency with human accountability.
low descriptive Full text arxiv
The Algorithmic-Human Manager: AI, Apps, and Workers in the Indian Gig Economy · Omir Kumar, Krishnan Narayanan · Jun 18, 2026
Unsupervised pre-annotation cuts pixelwise labeling time for steel microstructure images by about 78%, trimming a 170‑hour task to 37 hours; the paper also releases the largest public high‑resolution steel microstructure segmentation dataset and an industry-validated benchmark model.
medium quasi_experimental Full text arxiv
Speeding up the annotation process in semantic segmentation industrial applications · Marta Fernandez-Moreno, Margarita Guerrero, Rosalia Rementeria, Pablo Mesejo, Ra... · Jun 18, 2026
Robotization in Turkey boosted local employment between 2014–2021, driven mainly by automotive manufacturing expansion; but incumbent manufacturing workers saw reduced workdays and little transition out of the sector, so net job gains arose from new hiring rather than more work for existing employees.
medium quasi_experimental Full text semantic_scholar
Robots, Employment and Wages: Evidence from Turkish Labor Markets · Uğur Aytun, Yılmaz Kılıçaslan, Oytun Meçik, Ü. Yapici · Fetched Jun 18, 2026
AI is changing job content across blue- and white-collar work, shifting demand toward data, machine-learning and digital communication skills. Without faster, better-targeted training and policy action from employers and governments, workers risk skill shortages and uneven displacement as AI adoption accelerates.
medium review_meta Summary semantic_scholar
Labor Market The Impact of Artificial Intelligence on Employment Skills · D. Bano, Saba Shaukat, Maria Kanwal · Fetched Jun 18, 2026
FinRED ships a finance-tailored red-teaming framework that uncovers compliance and fraud risks in financial LLMs and, after expert validation, halves the number of critical false negatives; the framework is deployed in South Korea’s Financial Security Institute sandbox but the gated dataset and limited methodological transparency constrain replication.
medium descriptive Full text arxiv
FFinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming · Chaeyun Kim, Daeyoung Park, Junghwan Kim, Jinyoung Jeong, Eunji Song, Yongtaek L... · Jun 18, 2026
Data standards, not just better models or hardware, are the missing infrastructure for scaling humanoid robots: by making embodied interaction data inspectable, synchronized, and traceable, standards would enable cumulative learning across robots and unlock broader deployment and productivity gains.
low commentary Full text arxiv
Data Standards for Humanoid Robotics: The Missing Infrastructure for Physical AI · Shaoshan Liu, Xiugong Qin, Xuan Wu, Xuan Xia, Ning Ding, Jialu Liu, Jie Tang · Jun 18, 2026
Rising AI shifts hiring toward more-educated staff in China’s listed firms: each unit increase in firm-level AI exposure cuts low-education labor share by 0.007 and raises high-education share by 0.006, driven by firms’ technological innovation and strongest in high-tech sectors.
medium correlational Full text openalex
The Impact of Artificial Intelligence Development on Firms’ Educational Composition of Labor · Yanxing Shen · Jun 18, 2026
AI spending often fails to boost output because nations lack the cognitive 'convergence capacity' needed to translate tools into productive work; a cross-country interaction between AI intensity and a four‑part convergence index explains far more TFP variation than AI alone.
medium theoretical Full text openalex
Forecasting AI-Era Productivity: The Intellectually Converged Human Framework and a Missing Cognitive Mediator in Production Function Theory · Kwan Soo Shin, In Seok Kang · Jun 18, 2026
Korean firms saw rising overheads after the staged 52‑hour workweek, a pattern the authors interpret as the early-stage ‘overhead‑pressure’ of AI-driven time compression; firms that switch to output-based talent accounting are forecast to achieve roughly 1.5–2.0 percentage points higher TFP growth by 2032.
medium quasi_experimental Full text openalex
What Capital After Labor? Forecasting the Talent ROI Transition in the Human-AI Era · Kwan Soo Shin, In Seok Kang · Jun 18, 2026
National AI ecosystems do not automatically deliver greener growth: across 36 countries (2017–23) an AI-ecosystem index shows no independent effect on green growth after accounting for persistence and endogeneity, whereas better government effectiveness is clearly linked to greener economic outcomes.
medium quasi_experimental Summary openalex
Path Dependence, Governance, and the Limits of AI-Led Green Growth: A Dynamic Panel Analysis of 36 Economies · Chantal Chelala, Rosette Ghossoub Sayegh, Nisrine Hamdan Saadé · Jun 18, 2026
China’s intelligent manufacturing pilot policy boosted listed firms’ sustainable green innovation over 2010–2023, chiefly by accelerating digital upgrades, reducing financing frictions and lifting ESG scores; effects were strongest in the east, among private and tech-intensive firms.
medium quasi_experimental Summary openalex
Driving Sustainable Green Innovation Through Intelligent Manufacturing Policies: A System Transformation Perspective · Shu Fang, Heliang Zhu, Huilu Jiang, Zouxian Yan · Jun 18, 2026
AI-driven automation of coursework and hiring risks hollowing out degree value; universities that provide credible, mentor-backed endorsements will preserve graduates' market access while students lacking advocates face widening disadvantage.
n/a commentary Full text openalex
Vouching towards Bethlehem: what colleges and universities owe students in the age of AI · Jean E. Rhodes · Jun 18, 2026
LLM advice speeds decision-making in simulated search-and-rescue but not overall rescue outcomes: assistance raises victims-per-step and rewards as users attend more to chat, yet total victims saved remains unchanged because novices over-rely on AI while experts cross-check guidance to preserve situational awareness.
medium rct Full text arxiv
LLM-Mediated Human-AI Interaction in Search and Rescue: Impact of Expertise on Attentional Allocation · Elahe Oveisi, Hemanth Manjunatha · Jun 17, 2026