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Fragmented AI policy risks deepening inequality and social fracture unless governments act together; the DARE framework—Digital readiness, Administrative governance, Resilience & ethics, and Economic equity—maps national gaps across five countries and prescribes integrated policy packages to align AI-driven productivity with broadly shared public benefits.
low descriptive Full text semantic_scholar
The DARE framework: a global model for responsible artificial intelligence (AI) deployment · J. Izabayo · Fetched Mar 15, 2026
AI, big data and blockchain are recasting economies around intangible capital and data, boosting productivity and new markets while concentrating risks; China’s state-led push shows how policy can speed ecosystem formation but also intensify governance and equity trade-offs.
medium review_meta Full text semantic_scholar
ECONOMIC DEVELOPMENT IN THE CONTEXT OF DIGITALIZATION – CASE STUDY: DIGITAL ECONOMY FRAMEWORK IN CHINA · Cristina State, Iolanda-Petronela Grosu, Xiaoliang Zhang · Fetched Mar 15, 2026
AI tools are reshaping IT job definitions: employees who actively use AI report stronger competency and performance, forcing firms to rewrite skill taxonomies and training programs to retain productivity and innovation.
low correlational Summary semantic_scholar
Economic Implications of Adopting Artificial Intelligence for Competency Mapping in the it Sector · J. J · Fetched Mar 15, 2026
Generative AI is on track to become an entertainment-first industry, driven by commercial incentives and youth adoption, yet economic evaluation and policy frameworks are unprepared to measure its cultural and welfare effects. The authors propose a 'thick entertainment' lens to treat AI-generated entertainment as socially consequential and call for new metrics, empirical studies, and regulatory attention beyond harm mitigation.
low theoretical Full text semantic_scholar
AI as Entertainment · Cody Kommers, Ari Holtzman · Fetched Mar 15, 2026
Higher counts of granted AI patents are associated with slower GDP growth across countries in these panel models, while investment, government spending and population remain positive growth predictors; the authors argue AI’s productivity gains may be delayed by skills, infrastructure and diffusion constraints.
low correlational Full text semantic_scholar
The Role of Artificial Intelligence in Economic Growth: System GMM Evidence from 42 Countries · Sheeba Zafar, Safia Begum, Sara Shahid, Sidra Shahzadi · Fetched Mar 15, 2026
A Raspberry Pi AI weeder removed 98% of detected weeds in field trials and produced positive hourly profits for small/medium farms (≈₹68.5/hr). However, only about 60% field coverage and limited Wi‑Fi range threaten scalability and wider adoption.
low descriptive Summary semantic_scholar
AI-Enabled Wi-Fi Operated Robotic Weeder for Precision Weed Management · Shreya Y, S. Satish, Nayana Vallabha, K. L, Sathish Kumar B N · Fetched Mar 15, 2026
Women in the UK lag men in generative-AI adoption largely because they worry more about societal risks—not because of access or skills; boosting optimism about AI could raise young women's GenAI use from about 13% to 33%, markedly narrowing the gender gap.
medium correlational Full text semantic_scholar
Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI · Fabian Stephany, Jedrzej Duszynski · Fetched Mar 15, 2026
Large language models can serve as cheap, large-scale instruments for measuring cultural norms, beliefs and narratives—by probing pretrained weights economists can approximate aggregate discourse—yet alignment, fine-tuning and sampling choices can distort those signals, so researchers should prefer base or minimally adapted models, validate against surveys, and publish provenance and prompts.
n/a descriptive Full text semantic_scholar
The Third Ambition: Artificial Intelligence and the Science of Human Behavior · W. R. Neuman, Chad Coleman · Fetched Mar 15, 2026
In aging, high-debt Japan, rapid budget levers win: productivity gains and per-person cost control deliver the fastest fiscal stabilization, whereas raising fertility increases medium-term pressure; a moderate combo of productivity and cost cuts nearly closes the deficit by 2050.
medium theoretical Full text semantic_scholar
Fiscal Dynamics in Japan under Demographic Pressure · Goshi Aoki · Fetched Mar 15, 2026
AI sharply improves operational performance in Indonesia’s downstream petroleum industry—boosting uptime and reducing waste—but those efficiency gains translate into only modest national economic effects because heavy import dependence and expensive, unfinished fuel subsidy reform blunt broader structural impact.
medium correlational Summary semantic_scholar
AI-Based Technological Transformation as a Driver for Development of Oil Refining Market: Case Study of Indonesia · Wiryanta Muljono, Sri Setiyawati, Priyanka Pertiwi Setiawati, Padmanabha Adyaksa... · Fetched Mar 15, 2026
Gen Z who trust AI marketing are much more likely to adopt it and become loyal customers: a survey of 450 respondents finds trust strongly raises adoption intention and produces a total loyalty effect of roughly 0.80 (direct 0.41, indirect ≈0.39).
low correlational Full text openalex
Trust in AI-Driven Marketing and its Impact on Brand Loyalty: The Mediating Role of Adoption Intention among Generation Z Consumers · Norberto M. Secretaria · Mar 15, 2026
Human–AI co‑creation that treats segmentation, targeting and positioning as a self‑organizing system markedly improves firms' adaptability: it was 44% more resilient to shocks, cut planning cycle times by about 90% and raised detection of major market shifts nearly sixfold. These results come from a Fortune 500 lab ethnography, 150 million customer interactions and calibrated agent‑based simulations, but hinge on single‑firm data and simulation assumptions.
medium correlational Full text openalex
The Algorithmic Canvas: On the Autopoietic Redefinition of STP in the Age of Strategic Resilience · Simon Suwanzy Dzreke, Semefa Elikplim Dzreke · Mar 15, 2026
Passive, copy-based use of AI erodes workers' confidence, ownership and sense of meaningful work — and some harms persist after returning to manual tasks; by contrast, active, draft-first collaboration with AI preserves worker agency and avoids these psychological costs.
medium rct Full text openalex
Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects · Elena Hayoung Lee, Yidan Yin, Nan Jia, Cheryl Wakslak · Mar 15, 2026
A new theory argues firms gain AI-driven advantage through a recursive human–machine 'cognitive flywheel', formalized with coupled non-linear dynamics; it recommends fractal governance to reduce automation bias but offers no empirical validation.
n/a theoretical Summary openalex
Governing Human–AI Co-Evolution: Intelligentization Capability and Dynamic Cognitive Advantage · Tianchi Lu · Mar 15, 2026
AI advances in bursts rather than on a smooth curve, and bigger models are not always better for institutions: beyond an environment‑specific optimum, scaling raises trust, cost and compliance liabilities that outweigh marginal capability gains, favoring orchestrated smaller systems over frontier generalists.
medium theoretical Full text openalex
Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI · Mark G. Baciak, Thomas A. Cellucci, Deanna M. Falkowski · Mar 15, 2026
An autonomous agentic AI produces strong backtest returns — a reported 3.11 Sharpe and 59.5% annualized return from interpretable long–short signals on U.S. equities — but findings rest on historical backtests and may not survive trading frictions, capacity limits or changing market regimes.
low descriptive Full text openalex
Beyond Prompting: An Autonomous Framework for Systematic Factor Investing via Agentic AI · Allen Yikuan Huang, Zheqi Fan · Mar 15, 2026
Scaling giant LLMs hits hard physical and economic limits—energy, cooling, grid stress and diminishing returns—so a practical path is many small, domain-specific superintelligences that trade scale for symbolic structure and orchestration, cutting inference costs and enabling on-device deployment.
low theoretical Full text arxiv
An Alternative Trajectory for Generative AI · Margarita Belova, Yuval Kansal, Yihao Liang, Jiaxin Xiao, Niraj K. Jha · Mar 14, 2026
Specialized digital skills pay off: workers with vocational data, programming or automation expertise earn roughly 14% more—far above the 6% premium for general digital literacy—and the reward is largest in Korea's big Chaebol where the premium approaches 19%, while advanced skills help TVET graduates close the gap with university peers.
medium correlational Full text openalex
Measuring the Economic Returns of Vocational Digital Skills and Their Heterogeneity in the Digital Economy Transformation from Korean Labor Market · Zhang Xuhai, Liu Ziyang, Yu CHENG, Li Fangyu, Gao Liankui, Wu Tianfei · Mar 14, 2026
Digital product passports can convert sustainability into competitive value in fashion and cosmetics by enabling traceability, reuse and cross‑firm knowledge exchange; their benefits materialize only when technical capabilities are matched with organizational readiness, consumer engagement and interoperable standards, otherwise coordination failures and lock‑in risks persist.
low descriptive Summary openalex
Integrating knowledge management and digital product passports to foster sustainable and collaborative ecosystems · Beatrice Becchi, Idiano D’Adamo, Simone Di Leo, Massimo Gastaldi, Chiara Grosso,... · Mar 14, 2026
Corporate sustainability reports focus on company risk and miss cumulative environmental pressures; a prioritized set of mandatory disclosures and an open, audited environmental-data repository would strengthen oversight and unlock AI-enabled risk models. Treating environmental data with financial-grade standards would improve comparability, reduce greenwashing, and let investors and regulators better price systemic environmental risks.
n/a commentary Full text openalex
A golden opportunity: Corporate sustainability reporting as a key lever to address nature-related risks · Beatrice Crona, Stephen Polasky, Giorgio Parlato, Véronique Blum, Maxime Mathon · Mar 14, 2026
China’s supply‑chain digitalization pilot nudged listed firms toward real green innovation by improving carbon disclosure; the gains are concentrated in state‑owned and large companies, and are larger for substantive environmental R&D than for symbolic green signalling.
medium quasi_experimental Full text openalex
Supply Chain Digitalization and its Impact on Green Innovation in Enterprises · Xu Jie, Khaw Khai Wah, Bo Lixing · Mar 14, 2026
The US–China trade war has turned AI supply chains into geopolitical pinch points: tariff and export-control battles, divergent regulations, and security-driven decoupling concentrate risk in developing countries, creating short-term relocation gains for some but longer-term dependency and barriers to autonomous AI upgrading.
medium descriptive Full text openalex
China-US Trade War and the Challenges for Developing Countries · Ahmad Anwar · Mar 14, 2026
Unaudited ESG reporting can inflate apparent firm value while hiding earnings management, creating an 'ESG paradox' that corrodes trust. Standardized disclosure and audit/assurance are urgently needed — both to protect investors and to prevent AI models from learning on noisy or manipulated ESG signals.
medium review_meta Full text openalex
SUSTAINABILITY ISSUES IN FINANCIAL ACCOUNTING RESEARCH · Muhammad Putra Aprullah, Raida Fuadi, Indrayani Indrayani, Zahara Zahara, Agus A... · Mar 14, 2026
Bigger isn't always better: institutional fitness peaks at an environment-specific model scale, and well-orchestrated domain-specific systems can outperform frontier generalist models in their native institutions.
n/a theoretical Full text openalex
The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI · Mark G. Baciak, Thomas A. Cellucci · Mar 14, 2026
AI judges stray from real rulings and public opinion pushes them further off course: introducing social-media sentiment into LLM prompts inflates compensation forecasts and destabilizes outcomes, with the largest distortions in low-skilled and emotionally charged labor disputes.
medium quasi_experimental Full text openalex
LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments · Yixuan Xie, Yao He, Xiaoyu Yang, Xu Gai, Pan Hui · Mar 14, 2026