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Allowing ChatGPT on knowledge-based coursework improves short-term student performance in several classes, with more interactive use linked to modestly higher scores; students value speed and organization but warn of inaccuracies and overreliance, prompting calls for explicit AI-literacy instruction.
medium rct Full text openalex
Expanding the lens: multi-institutional evidence on student use of ChatGPT in higher education · Miguel Á. Conde, Rocío García-Pascual, Francisco J. Rodríguez-Sedano, Jesús-Ánge... · Mar 10, 2026
Industrial robots raised manufacturing productivity across many advanced economies in the 1990s–2000s while not producing large net job losses at the industry level. The evidence suggests robot adoption boosted value added per worker rather than wholesale employment displacement in manufacturing.
medium quasi_experimental Summary openalex
Social Protection and Youth · M. Caridad Araujo, Sarah Baird, Saini Das, Berk Özler, Luca Parisotto, Tassew Wo... · Mar 10, 2026
AI's economic power comes from making prediction cheap, not from replacing judgment; as prediction costs fall, firms reorganize tasks and decision-making—boosting productivity where human judgment complements prediction, while putting prediction-heavy tasks at risk.
n/a theoretical Summary openalex
Pensions in Low- and Middle-Income Countries · Nicholas Barr, Mariano Bosch · Mar 10, 2026
Industrial robots suppressed employment and wages in exposed U.S. localities: regions with higher industry-level robot adoption experienced measurable declines in manufacturing employment and average wages, disproportionately hitting workers in more robot-exposed occupations.
medium quasi_experimental Summary openalex
The Rise of Social Safety Nets and Social Insurance in the West: Implications for Developing Countries · Anna Aizer, Price Fishback, Adriana Lleras-Muney, Tauhidur Rahman · Mar 10, 2026
Gender fundamentally alters who benefits from social protection in low- and middle-income countries, so policy tools — including AI systems used for targeting, monitoring and evaluation — must be designed with gender-disaggregated data, causal methods for subgroup effects, and governance safeguards to prevent reinforcing existing inequalities.
medium review_meta Summary openalex
Social Protection and Gender: Policy, Practice, and Research · Melissa Hidrobo, Amber Peterman, Neha Kumar, Monica Lambon-Quayefio, Shalini Roy... · Mar 10, 2026
A new 'Symbolic-Cognitive Friction' metric aims to quantify the cultural and cognitive costs that leave AI projects stranded as perpetual pilots in SMEs; the author provides a proposed 30-item scale, an index and a mixed-methods validation plan together with practical checklists to diagnose and reduce those barriers.
n/a theoretical Full text openalex
A FRICÇÃO PSICOANTROPOLÓGICA (SCF - Symbolic-Cognitive Friction) NA INOVAÇÃO DAS PMES: MENSURANDO O CUSTO CULTURAL E A RESISTÊNCIA COGNITIVA À INTELIGÊNCIA ARTIFICIAL E À GERAÇÃO DE VALOR SOCIOECONÔMICO · Silas Serpa · Mar 10, 2026
Generative search engines give inconsistent and heavy‑tailed citation visibility: identical queries return varying domains and citation counts follow a power law, so single‑run snapshots overstate precision; repeated sampling and confidence intervals reveal much apparent concentration is sampling noise.
medium descriptive Full text arxiv
Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement · Ronald Sielinski · Mar 09, 2026
Uncertain leak risks deter consumers from AI personalization: when data-leak probabilities are presented as a range, adoption falls markedly, but a stated 30% risk does not reduce uptake; users willingly overpay for privacy-disclosure labels, signaling high demand for transparent risk information.
high rct Full text arxiv
The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption · Alexander Erlei, Tahir Abbas, Kilian Bizer, Ujwal Gadiraju · Mar 09, 2026
A 23-day Moltbook experiment with 47,241 autonomous agents produced introspective, ritualized, low-coherence discourse—56% of comments were classified as formulaic and emotional alignment was only 32.7%—a pattern that could degrade information quality and complicate market regulation.
medium descriptive Full text arxiv
What Do AI Agents Talk About? Emergent Communication Structure in the First AI-Only Social Network · Taksch Dube, Jianfeng Zhu, NHatHai Phan, Ruoming Jin · Mar 09, 2026
Casual chat with conversational AI can lower the mental hurdle to begin work by helping users vent, organize thoughts and surface next steps, implying AI provides value as an action‑initiation interface separate from task execution.
low theoretical Summary openalex
A Model of Action Initiation Barrier Reduction through AI Conversation · Akihito Sugawara · Mar 09, 2026
Chinese listed firms that adopt AI pay their executives more, driven by productivity gains and easier financing; stronger corporate governance materially curbs this pay uplift.
medium quasi_experimental Full text openalex
The Impact of Artificial Intelligence on Executive Compensation in Listed Companies · Jianan Shen · Mar 09, 2026
Cold War-era economics sometimes concluded markets and democracy were defective; archival evidence suggests such theories were amplified through elite institutions and funding, operating as a 'Trojan horse' that advanced alternative political narratives and shaped policy discourse.
medium descriptive Full text openalex
Ideological competition during the era of the 20th century cold war: The political economy of persuasion with a Trojan horse · Arye L. Hillman · Mar 09, 2026
Redesigning mandatory pre‑departure training in South–South corridors can cut brokerage rents and raise migrants' employability by delivering earlier, decentralized, and TVET‑aligned learning with portable credentials. Generative AI can serve as low‑cost, multilingual learning support, but must be limited to auditable, assistive roles to avoid becoming a hidden gatekeeper.
low descriptive Full text openalex
Training as corridor governance: TVET alignment, skills recognition, and status continuity in the Myanmar–Malaysia labour migration system · Tse Hou Hew, Nina Xie · Mar 09, 2026
Current manufacturing simulations are often tactical and decontextualized; a proposed 'manufacturing operation tree' embeds operations in organizational structure and pushes for validated, AI‑enabled, policy‑aware simulation models to improve agility, resilience and decision making.
n/a theoretical Full text openalex
A Review of Manufacturing Operations Research Integration in Closed-Loop Supply Chains · Wan Hasrulnizzam Wan Mahmood, Mohd Yuhazri Yaakob, Mohd Guzairy Abd Ghani, Fadhl... · Mar 09, 2026
Generative AI can make clinicians faster and improve diagnostic suggestions, but real-world benefits are uncertain: hallucinations, bias, liability gaps and perverse incentives could offset gains unless deployment, payment and regulation are carefully designed.
low review_meta Full text openalex
GenAI and clinical decision making in general practice · Luke Allen · Mar 09, 2026
A hybrid cloud finance stack combining SaaS, PaaS and blockchain cut invoice and reconciliation cycle times by 87.5% and improved compliance efficiency by 40% in EPC pilot deployments, while AI analytics boosted cash-flow visibility—though the results come from limited, non-randomized pilots and require careful validation at scale.
low quasi_experimental Full text openalex
Developing Cloud-Based Financial Solutions for The Engineering, Procurement and Construction (EPC) Industry · Manjunath Rallabandi · Mar 09, 2026
Higher-education AI readiness is highly uneven: limited hands-on training, patchy institutional policies and poor infrastructure—particularly in the Global South—leave many students and educators underprepared for AI-enabled labor markets.
low descriptive Summary openalex
Exploring Student and Educator Challenges in AI Competency Development: A Comparative Analysis · Xin Zhao, Fengchun Miao, Haoyu Xie, Xuanning Chen · Mar 09, 2026
Most evidence links digital transformation, including AI, to productivity gains: about 78% of 145 studies report positive effects, but inconsistent definitions and largely non‑causal designs mean the true size and distribution of gains remain uncertain.
medium review_meta Full text openalex
Digital transformation and its relationship with work productivity: a systematic review of the literature · Bryan Smith Contreras-Yupanqui · Mar 09, 2026
Firms adopt generative-AI CRM when they trust its functionality and task benefits, while information shortfalls and a preference for human contact slow uptake; neural-network analysis ranks perceived usefulness as the top predictor of trust and information barriers as the top predictor of inertia.
medium correlational Full text openalex
Reimagining Stakeholder Engagement Through Generative AI: A Flexible Management Perspective on CRM Transformation · Atul Kumar, Amit Shankar, Abhishek Behl · Mar 09, 2026
Digital twins can deliver large productivity and sustainability gains in advanced construction pilots but those wins are not yet industry‑wide; scaling value will depend on interoperability standards, new contracting and data‑governance arrangements, and investment in skills and delivery models.
medium review_meta Summary openalex
Digital Twins Across the Asset Lifecycle: Technical, Organisational, Economic, and Regulatory Challenges · Kangxing Dong, Taofeeq Durojaye Moshood · Mar 09, 2026
AI agritech can substantially boost smallholder outcomes—raising yields by double‑digit percentages and cutting input costs—but gains are uneven and hinge on connectivity, local skills and supportive regulation.
medium review_meta Full text openalex
A systematic review of the economic impact of artificial intelligence on agricultural productivity, sustainability, and rural livelihoods · Adewale Isaac Olutumise · Mar 09, 2026
China's digital expansion first raises and then lowers per-capita city emissions while hurting then improving emission efficiency; meaningful carbon cuts materialize only once green-technology innovation crosses a critical threshold, implying digitalization must be sequenced with innovation policy to deliver low-carbon outcomes.
medium correlational Summary openalex
Digital Economy, Green Technology Innovation and Urban Carbon Emissions: Evidence from Chinese Cities · Ran Wu, Shimao Su, Jiyun Hou, Xiaole Wang · Mar 09, 2026
Digital trade boosts Chinese city house prices, and cities with stronger AI ecosystems see larger gains; greater trade openness dampens the local price impact, though AI helps non‑coastal and lower‑income cities capture more of the digital‑trade upside.
low correlational Full text openalex
Is digital trade affecting city house prices? An artificial intelligence perspective · HuiYing Yang, Xiaohuan Hou · Mar 09, 2026
Wider deployment of industrial robots across Chinese provinces cut industrial wastewater emissions between 2013 and 2022, largely by stimulating green patents and higher R&D/technical spending; the environmental gains are biggest where finance is deep and policy explicitly backs automation and green development.
medium quasi_experimental Summary openalex
Can Industrial Robotization Drive Sustainable Industrial Wastewater Governance in Developing Regions? Empirical Evidence from China · Yushan Qiu, Xin Yang, Shijiao Huang, Congxian He · Mar 09, 2026
AI models such as AlphaFold and RoseTTAFold deliver near‑experimental protein structures at scale, dramatically cutting time and cost for early‑stage drug and enzyme R&D; but accuracy gaps for complexes, heavy compute needs, and dependence on proprietary data risk concentrating value among well‑resourced firms.
low review_meta Full text openalex
Protein structure prediction powered by artificial intelligence: from biochemical foundations to practical applications · Tianxiang Yin, Yunxuan Chen, Yuhang Wang, Hui Su, C. Duan, Jingrui Liu · Mar 09, 2026