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Chinese listed firms that adopt AI show measurably better ESG performance, especially where regulation is strict and in less-polluting industries; the gains appear to work through workforce upgrading and green technological innovation.
medium correlational Summary openalex
The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms · Haixia Feng, Renbo Shi, Qingjin Wang · Jul 02, 2026
AI agents mirror human 'forking paths', reproducing 72% of the ideological gap seen across 42 human teams and often producing opposing conclusions from identical data; an Agentic Bootstrap and the new m-value reveal that many published analyses sit far out on the tails of the plausible analysis distribution, suggesting selective exploration more than outright analytic error.
medium descriptive Full text arxiv
The Agentic Garden of Forking Paths · Jiacheng Miao, Jonathan K Pritchard, James Zou · Jul 01, 2026
Symbolic awards on Reddit rarely boost activity or influence—and random lottery-style awards from bots can lower engagement—yet they do nudge more direct replies between users; simple algorithmic nudges appear ineffective at manipulating behavior, highlighting the need for transparent labeling and scrutiny of more sophisticated automated agents.
high rct Full text arxiv
A field experiment of social influence and behavioral contagion with bots on Reddit · Hiroki Oda, Kinga Makovi, Taha Yasseri, Milena Tsvetkova · Jul 01, 2026
Capping human overrides improves AI-supervised inventory decisions: a two-per-machine limit cuts stock by 1.28% with no sales loss, whereas unrestricted overrides also reduce sales by 1.19%; benefits concentrate among experienced workers and high-incentive SKUs.
high rct Full text arxiv
A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending · Minda Zhao, Brian Rongqing Han, Xin Chen, Tao Zhu · Jul 01, 2026
AI productivity gains lift pay for workers who build AI while lowering pay for those whose tasks are replaced, and monopoly provision of AI curbs deployment and alters optimal redistribution and regulation.
n/a theoretical Full text openalex
The Economic Benefits and Costs of AI and Policies to Mitigate AI's Impact on Inequality · Matthew O. Jackson, Zafer Kanik · Jul 01, 2026
Two-sided private information can leave a persistent zone of avoidable harm: when humans privately trust their priors and AIs privately know an action is harmful, myopic supervisors often refuse oversight, though repeated interaction and credible signals can shrink this oversight failure.
n/a theoretical Full text arxiv
A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry · Yunjin Tong · Jun 30, 2026
Generative AI forces a rethink of professional expertise and firm design: existing theories of work and organizations need extension to capture new, evolving interdependencies between professionals and generative machine learning, the paper argues.
n/a theoretical Full text openalex
Generative machine learning in professional work and professional service firms : a research agenda · James Faulconbridge, Kasper Trolle Elmholdt, Frida Pemer, Aline Seepma, Tale Skj... · Jun 30, 2026
AI 'agent teams' mirror organisational structure but lack human social glue; making context durable, inspectable and task-contingent — rather than copying human managerial rituals — produces better collective performance in simulations and LLM-agent traces.
medium theoretical Full text arxiv
The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows · Canhui Liu · Jun 29, 2026
Firms most tied to real-world AI usage command a substantial market premium: a factor based on token, dollar and user growth predicts a cross-sectional AI premium worth about 64 basis points per week for a value-weighted long–short strategy, concentrated in intensive closed-source and paid AI use and in nonroutine interactive occupations, but missing in emerging markets.
medium correlational Full text arxiv
AI Premium · Nicola Borri, Yukun Liu, Aleh Tsyvinski · Jun 29, 2026
A Gini‑adjusted GDP per capita index reveals that welfare‑adjusted prosperity in the G7 has lagged headline GDP growth since 2010 and the shortfall widened sharply after 2022; the simple, auditable GAGI is offered as a regulatory trigger to spot distributional erosion that GDP alone misses.
low descriptive Summary semantic_scholar
GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring · S. Kandasamy · Fetched Jun 29, 2026
Germany’s Job-Turbo program sharply raised refugee employment: intensified early-stage job-search assistance nearly doubled exit-to-job rates for Ukrainian arrivals and produced broad gains in regular, sustained employment while leaving native and other immigrant jobseekers unaffected.
high quasi_experimental Summary semantic_scholar
Refugee labor market integration at scale: Evidence from Germany's fast-track employment program. · Jens Hainmueller, M. Marbach, Dominik Hangartner, Niklas Harder, E. Vallizadeh · Fetched Jun 29, 2026
AI can make hiring faster and more accurate—some models report up to 96% accuracy in forecasting attrition—but those efficiency gains often inherit demographic biases and regulatory risks; firms need auditing, explainability, human-in-the-loop governance, and ongoing compliance to deploy AI recruitment responsibly.
n/a review_meta Full text semantic_scholar
Predictive Talent Acquisition: AI Governance and Enterprise Workforce Intelligence · Zeeshan Khan · Fetched Jun 28, 2026
A neural emulator reproduces a leading crop model with high fidelity and runs thousands of times faster, allowing researchers to test 100,000 trait configurations and climate scenarios; it finds 181 maize trait combinations that sustain yields across tested conditions and highlights radiation use efficiency and root temperature responses as dominant resilience drivers.
medium descriptive Summary semantic_scholar
From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems · M. Saadati, Juan S. Panelo, G. Visentini, Soumik Sarkar, C. Messina, B. Ganapath... · Fetched Jun 28, 2026
AI decision systems can either preserve or displace managerial discretion depending on design and governance; transparent, override-capable tools combined with aligned accountability tend to support human augmentation, while opaque or rigid systems produce functional substitution.
medium quasi_experimental Full text semantic_scholar
Strategic Adoption of AI-Enabled Decision-Making Systems: Designing for Human Agency in Data-Driven Organizations · Barrak Albabtain · Fetched Jun 28, 2026
Experts see big AI capability gains but only modest near-term economic effects, while a notable minority (14%) warn of rapid-progress scenarios with strong GDP growth coupled with falling labor-force participation and widening inequality. Firms that invest in systematic retraining, transparent transition planning and adaptive organizational design can better protect workers and maintain operations amid accelerated AI-driven change.
low review_meta Summary semantic_scholar
Preparing Organizations for AI's Economic Disruption: Evidence-Based Strategies for Workforce Transition and Strategic Adaptation · Jonathan H. Westover · Fetched Jun 28, 2026
AI skills have gone from optional to essential in media hiring: between 2023 and 2025 job adverts show employers demanding hands-on experience with content-generation tools, data analysis and fact‑checking across copywriting, social media, PR and design roles. The spectrum of AI-specific positions has expanded beyond editors and journalists to include AI translators, editors, designers, content managers and trainers.
medium descriptive Summary semantic_scholar
The Media Labor Market: The New AI Skills · K. Zuykina, D. Razumova · Fetched Jun 28, 2026
Generative AI boosts task-level output in writing, support, consulting and software development, but these gains rarely translate into automatic firm-wide productivity increases; realizing firm-level value requires workflow redesign, skilled workers, data and cloud infrastructure, and robust digital ecosystems — especially in China.
medium review_meta Summary semantic_scholar
Generative AI, Digital Infrastructure, and Firm Productivity: A Task-to-Firm Conversion Framework for Chinese Firms · Jinliang Mai · Fetched Jun 28, 2026
Integration headaches are an ecosystem problem, not just a bad bot: roughly 50% of pull-request friction persists at the repository level, and AI-authored changes concentrate that repository-level risk about twice as often as human contributions.
medium correlational Full text arxiv
Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software · Daniel Russo · Jun 26, 2026
JD’s Oxygen AI Item Center uses LLMs and VLMs to produce structured product knowledge at industrial scale, claiming 94.2% precision and 82.8% recall while covering 80.4% of search traffic; the platform reportedly cut item-information quality issues by 37% and automated core-attribute fill rates to over 80%.
low descriptive Full text arxiv
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications · Oxygen AIIC, Chan Long, Chao Liu, Chaofan Chen, Chaohui Dong, Chunyuan Guo, Danp... · Jun 26, 2026
Personalized AI nudges can briefly boost cooperation in small-group collective-risk games, but when repurposed to excuse selfish behavior the AI causes larger, longer-lasting drops in contributions and group success, highlighting potent dual-use risks.
high rct Full text arxiv
AI Persuasive Framing in Collective Dilemmas · Anders Giovanni Møller, Alessia Galdeman, Arianna Pera, Luca Maria Aiello · Jun 26, 2026
AI promises faster, more accurate audits through real-time analytics and standardization, but entrenched professional practice, algorithm aversion and skills gaps slow full uptake. The result is not wholesale replacement but a continuous rebalancing of tasks—routine checks are automated while judgment, oversight and new practices rise—requiring firms to redesign work and training to realize benefits.
n/a review_meta Full text openalex
AI in auditing: Drivers and barriers to its adoption and the sociomaterial reconfiguration of the auditor’s role · Márcio Fernando da Silva, Ariel Behr, Fernanda da Silva Momo, António Samagaio · Jun 26, 2026
Saudi-listed companies reporting greater use of AI in auditing exhibit materially less earnings manipulation and stronger audit quality. The association suggests AI can bolster corporate governance, though the evidence is observational and cannot fully exclude selection or reverse causality.
low correlational Summary openalex
The Role of Artificial Intelligence in Audit Quality and Reducing Earnings Management · Nasareldeen Hamed Ahmed Alnor, Ebrahim Mohammed Al‐Matari, Omer Alsir Alhassan M... · Jun 26, 2026
ATHENA reframes competence as situational, facet-based capabilities rather than fixed job traits, proposing a practical scaffold to align recruitment, training and internal mobility with AI-driven changes in tasks; the framework is detailed but unvalidated, offering testable propositions for future empirical work.
n/a theoretical Full text openalex
Reconceptualizing Competence through Facets: ATHENA as a Strategic Framework for Adaptive Talent Management in the Age of AI · Todd Lubart, Jérémy Lamri, Karin Valentini · Jun 26, 2026
Industrial robots raise Chinese firms' productivity via innovation, learning-by-doing and market expansion; but capital-market distortions blunt those gains while strong R&D and efficient finance amplify them.
medium correlational Full text openalex
The application of industrial robots, capital distortion, and firm productivity: empirical evidence from China · Jiajia Zhang · Jun 26, 2026
AI adoption in China’s manufacturing sector raises hiring and pay but deepens internal wage gaps; firms deploying AI show higher employment and wages, yet gains concentrate in technical and service roles while pay dispersion widens, with stronger job gains in regions with developed AI ecosystems and supportive policies.
medium quasi_experimental Full text openalex
Creative disruption or destructive inequality? Firm-level evidence on AI adoption and employment dynamics · 乔冠伦, Anhua Yang, Yuchen Ding, Yaxing Wang · Jun 26, 2026