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AI will reshape market dynamics through deployment and governance choices rather than raw model power; supervised 'co-pilot' architectures are the likely near-term norm, lowering some immediate risks but creating new coupling and concentration vulnerabilities.
low theoretical Full text openalex
AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications · Hui Gong · Mar 14, 2026
Policies that spur quality competition in AI supply chains reliably boost consumer surplus, while price-competition rules and compute subsidies help only in particular cost environments; unexpectedly, price competition or compute subsidies can produce win-win-win outcomes for providers, downstream firms and consumers under the model's assumptions.
n/a theoretical Full text arxiv
The Economics of AI Supply Chain Regulation · Sihan Qian, Amit Mehra, Dengpan Liu · Mar 13, 2026
Narrative moral probes expose that large language models often mask superficial ethical competence with reproducible reflexive failures; more capable systems reveal subtler breakdowns, meaning procurement, certification and insurers must discount polished moral answers unless tested with structurally resistant evaluations.
medium descriptive Full text arxiv
Literary Narrative as Moral Probe : A Cross-System Framework for Evaluating AI Ethical Reasoning and Refusal Behavior · David C. Flynn · Mar 13, 2026
Chinese industries with concentrated AI patenting grew roughly 1.9 percentage points faster after 2010 than low‑AI sectors, with the biggest gains in high‑tech, capital‑ and knowledge‑intensive industries; the effect rises over time and is amplified by R&D, though measurement and endogeneity concerns limit definitive causal claims.
medium quasi_experimental Full text openalex
The Impact of Artificial Intelligence Development on Economic Growth · Yingxin Ma · Mar 13, 2026
Job ads show AI is reshaping skill demand: postings that require AI increasingly list human-centered skills such as analytical thinking, teamwork and resilience, and firms with more AI roles advertise fewer substitutable skills; some complementary skills (notably resilience) also command modest posted-salary premia.
medium correlational Full text openalex
Complement or Substitute? How AI Increases the Demand for Human Skills · Fabian Stephany, Elina Mäkelä, Matthew Bone, Farah Nanji, Mareike Sehrer · Mar 13, 2026
An AI-driven hospital HR system reduced scheduling conflicts and improved fairness, with LSTM forecasts achieving R²=0.91; pilot deployments reported an 18% fall in patient waiting times and a 14% rise in satisfaction, though evaluation was uncontrolled.
low descriptive Full text openalex
Enhancing hospital workforce planning, scheduling, and performance evaluation through an AI-driven human resource management system · Yan Wang, Pusheng Zheng, Ying Guan, Qiwei Zhang · Mar 13, 2026
AI can rewire investment institutions rather than merely speeding them up, but its benefits accrue only where organizations can learn and absorb new knowledge; otherwise AI risks accelerating strategic decline.
n/a theoretical Full text openalex
Resilience Coefficient: Measuring the Strategic Adaptability of Long-Term Investors Triggered by Artificial Intelligence · Leyan Zhu · Mar 13, 2026
Digital intelligence in e‑commerce cuts CO2 emissions, with bigger gains where post‑2020 dual‑carbon policies are stronger; however, effects differ markedly between China, the US and Germany and rest on data from market‑leading firms and imputed observations.
medium quasi_experimental Full text openalex
Digital intelligence for reducing carbon emissions and improving sustainability in E-commerce · Syed Zain Ul Abidin, Muhammad Aamir Shahzad, Syed Muhammad Faraz Raza · Mar 13, 2026
Peer-driven digitalisation makes Chinese manufacturers more resilient, but the pathways differ: industry peers raise resilience by spurring innovation, while nearby regional peers do so by improving resource allocation; the gains vary with firms' directorate-network position, local competition and city centrality.
medium correlational Summary openalex
Peer Effects of Digital Transformation and Enterprise Resilience: Evidence from Chinese Manufacturing Firms · Ying Tian, Kun Qi, Chufeng Deng · Mar 13, 2026
Firms that invest simultaneously in digital tools, green practices and talent see sizable supply‑chain efficiency gains, and most of the improvement—about 84.6%—works through technological innovation; effects are larger for SOEs, non‑high‑tech firms and Eastern China, while high‑tech firms face integration frictions.
medium correlational Summary openalex
The Influence Mechanism of New Quality Productivity Forces on Supply Chain Efficiency: Technological Innovation as a Mediating Variable · Yawei Wang, Bohang Li · Mar 13, 2026
Chinese listed firms that adopt generative AI report materially higher ESG ratings, driven partly by better disclosure and green innovation. The gains are concentrated in manufacturing, eastern regions and tech‑intensive firms, and are dampened where environmental regulation is stricter.
medium correlational Summary openalex
How Can Generative AI Promote Corporate ESG Performance? Evidence from China · Xuejiao Xu, Huilin Li, Jing Zhang · Mar 13, 2026
Material passports promise to unlock AI-driven circular markets in construction, but adoption is stalling: fragmented definitions, scarce interoperable data and unclear governance are the main bottlenecks, and while digital tools can bridge many gaps, widespread deployment will need unified standards, stakeholder coordination and regulatory support.
n/a review_meta Summary openalex
The Material Passport for a Circular Construction Industry: A PRISMA Based Systematic Review · Hajar El Ammari, Annie Guerriero · Mar 13, 2026
A hybrid machine-learning and blockchain accounting prototype boosts fraud detection and slashes reconciliation times in pilot datasets — but scalability, privacy and transparency remain barriers to wider rollout.
medium descriptive Full text openalex
AI-Driven Accounting Oversight Systems: Integrating Machine Learning and Blockchain for Real-Time Fraud Detection and Financial Reconciliation · Deborah Osahor · Mar 13, 2026
Automation is reshaping the global division of labour: a 1 percentage point rise in industrial robot density is associated with a 0.8 percentage-point drop in manufacturing GVC participation, reinforcing developed-country technical hegemony and creating new barriers for developing economies; China is urged to pursue foundational innovation and governance reforms to avoid marginalization.
low correlational Full text openalex
Artificial Intelligence and Globalized Division of Labor: Research Progress and Future Prospects · Changjing Ma · Mar 13, 2026
Fact‑checking groups in Jordan, Turkey and Iran find AI a double‑edged sword: it automates monitoring and triage but also fuels sophisticated misinformation, forcing hybrid human–AI workflows and stronger data, legal and safety measures. Local politics and data access shape how platforms adopt tools and where market and policy support is most needed.
low descriptive Summary openalex
Fact-Checking Platforms in the Middle East: A Comparative Study in the Age of Artificial Intelligence · Hala Alshwayyat, Jorge Vázquez-Herrero · Mar 13, 2026
Most LLM misalignments are choices, not fate: problems often come from data, objectives, and deployment decisions, not just model scale. Adopting a Flourishing–Justice–Autonomy approach—pluralistic evaluation, transparency, and participatory governance—would reduce harms and address economic incentive failures by treating alignment as a public‑good, ongoing process.
n/a commentary Full text openalex
LLM Alignment should go beyond Harmlessness–Helpfulness and incorporate Human Agency · Usman Naseem, Tanmoy Chakraborty, Kai-Wei Chang, Mark Dras, Preslav Nakov, Nanyu... · Mar 13, 2026
AI has already begun to lift productivity and reshape services and labor markets, but its benefits are uneven and come with governance, ethical and environmental costs. Realizing net societal gains will require human-centered system design, regulatory frameworks for safety and accountability, and incorporation of sustainability metrics into AI development.
n/a review_meta Summary openalex
The Evolution and Societal Impact of Artificial Intelligence in the 21st Century · Monica Khadgi · Mar 13, 2026
China’s ability to win global digital services markets hinges on rules and platforms, not just code. Without deeper engagement in international rule‑making, interoperable data regimes and stronger platform internationalization, China risks falling behind economies operating under high‑standard trade frameworks.
low review_meta Full text openalex
Analysis of Digital Services Trade and Export Competitiveness · J. Liu · Mar 13, 2026
Generative AI can sharply raise efficiency and accuracy in corporate finance and tax operations, cutting routine costs and freeing staff for higher‑value work; but realising these gains at scale hinges on addressing data privacy, model reliability, system integration and regulatory accountability.
low descriptive Full text openalex
Explore the Impact of Generative AI on Finance and Taxation · Yifan Ma · Mar 13, 2026
A Levinasian ethics exposes persistent responsibility gaps in human–robot systems that law and engineering alone cannot close; regulators and firms must build institutions and procedures that respond to primordial obligations toward vulnerable users.
n/a theoretical Full text openalex
Examining ethical challenges in human–robot interaction using a Levinasian framework · Bo Kampmann Walther · Mar 13, 2026
AI is rewriting the rules of cross‑border trade: data, models and platforms are shifting comparative advantage and creating new regulatory frictions, forcing a patchwork of regional experiments and calls for multilateral coordination to preserve trade efficiency and policy goals.
low descriptive Full text openalex
Path Analysis of Digital Economy and Reconstruction of International Trade Rules Driven by Artificial Intelligence · Chen Chen, Yihan Dong, Mayuyue Fan, Baoqi Yu · Mar 13, 2026
Generative AI promises scalable, individualized feedback that could cut costs and boost learning at scale, but real benefits depend on reliable pedagogical alignment, careful evaluation, and governance; without quality controls and equitable access, AI feedback risks misleading students and widening educational inequalities.
n/a descriptive Full text arxiv
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable? · Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. As... · Mar 12, 2026
The dominant agent protocol (MCP) powers tens of thousands of servers but misses three core primitives—identity propagation, adaptive timeout budgeting and structured error semantics—leaving production agent deployments fragile. Implementing the paper's CABP, ATBA and SERF proposals would cut incident and remediation costs, enable tighter SLAs and create room for vendors to differentiate on production readiness.
medium descriptive Full text arxiv
Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol · Vasundra Srinivasan · Mar 12, 2026
AI coding agents can reimplement complex RL simulators cheaply and quickly: the authors produce verified JAX/Rust environments for under $10 of compute, delivering up to tens-of-thousands× throughput improvements in some cases and matching hand-optimized engines while preserving policy behaviour.
medium descriptive Full text arxiv
Automatic Generation of High-Performance RL Environments · Seth Karten, Rahul Dev Appapogu, Chi Jin · Mar 12, 2026
A new mathematical solution collapses the infinite ‘beliefs‑about‑beliefs’ problem in decentralized continuous‑time games into deterministic two‑time kernels and yields a closed‑form 'information wedge' that quantifies when and how agents manipulate others’ signals; the wedge disappears when signals are exogenous, sharply delimiting when strategic information effects matter.
n/a theoretical Full text arxiv
Forecasting and Manipulating the Forecasts of Others · Sam Babichenko · Mar 12, 2026