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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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
Autonomous ‘agentic’ AI can cut time and costs in administrative and monitoring tasks across ageing health systems, but its value depends far more on payment rules, regulation and interoperable data than on algorithmic prowess; claims that agentic systems will materially ease ageing-driven fiscal strain remain unproven.
medium review_meta openalex
Agentic AI for Ageing Healthcare Systems in Advanced Economies: A Structured Review of Evidence, Institutional Barriers, and a Sociotechnical Implementation Roadmap · Rachel Wei Gee Ooi, Baskar Periasamy · Mar 09, 2026
Faculty conversations on major higher-education Reddit forums show AI reshaping assessment, labor and governance rather than just adding a new tool; universities face a choice between surveillance-heavy enforcement and equity-focused pedagogical redesign, with important implications for workloads, credential value and student fairness.
low descriptive openalex
A Critical AI Media Literacy Perspective on the Future of Higher Education with Artificial Intelligence Through Communities of Practice on Reddit · Olivia G. Stewart · Mar 09, 2026
Machine learning for workplace mental health is still mostly a lab exercise: researchers prioritize algorithmic novelty over domain-driven, causal, or deployment studies. Without interdisciplinary co‑design and randomized or quasi‑experimental evaluation linking predictions to wages, absenteeism and productivity, ML’s economic value for workplaces will remain unproven.
n/a review_meta openalex
Machine learning in the analysis of mental health at work: a scoping review · Pekka Varje, Ari Väänänen, Olli Haavisto, Ilkka Kivimäki, Simo Taimela, Tiina Ka... · Mar 09, 2026
Construction supply-chain failures cluster by position: brokers bear relational and contract breakdowns while peripheral suppliers absorb external shocks; targeting predictive analytics at central coordinators and simple traceability tools at peripheral nodes maximises network resilience.
low descriptive openalex
Social-Network Analytics of Construction Supply Chain · Mohammad Hossein Heydari, Alireza Shojaei, Philip Agee, Andrew P. McCoy · Mar 09, 2026
Code generators boost output far faster than review and testing can keep up, creating a subtle but systemic risk as developers implicitly accept plausible machine output under time pressure; the Overton Framework prescribes built-in 'cognitive interlocks'—mandatory proof artifacts, enforced testing gates and provenance—to realign incentives and contain long-run fragility.
low theoretical openalex
Overton Framework v1.0: Cognitive Interlocks for Integrity in AI-Assisted Software Development · K Overton · Mar 08, 2026
AI augments rather than replaces management: algorithms reshape decision-making and organizational structures, but firms capture value only when AI is paired with managerial judgment, data quality and supportive organizational systems.
n/a descriptive openalex
Modern Management in the Age of Artificial Intelligence: Structures, Systems and Decision-Making · Pratibha Singh, Mukul Bhatnagar, Dr. Preeti Bala Tripthi, Dr Brototi Banerji Mis... · Mar 08, 2026
Blending AI and precision agriculture with ecological practices and inclusive finance can substantially boost smallholder yields and resource efficiency; the gains, however, hinge on finance, data governance and public support to ensure broad, equitable adoption.
medium review_meta openalex
MODERN APPROACHES TO SUSTAINABLE AGRICULTURAL TRANSFORMATION · P.Axmedov · Mar 08, 2026
Combining AI, precision tech and agroecology can materially boost smallholder yields and cut waste, but widespread gains hinge on coordinated public action to address costs, infrastructure, finance and data governance; without such policies benefits risk being uneven and captured by platform providers.
medium review_meta openalex
MODERN APPROACHES TO SUSTAINABLE AGRICULTURAL TRANSFORMATION · P.Axmedov · Mar 08, 2026