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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 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 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 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 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 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 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 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 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 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
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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