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Labeling content as AI-generated or AI-enhanced reduces user engagement, particularly for emotional posts; delaying disclosure helps only for AI-enhanced content, not fully for AI-generated pieces.
medium rct Full text openalex
AI content labeling and user engagement on social media: The role of AI level, content type, and disclosure timing · Freya Seeger, Michael Wessel, Christiane Lehrer · Mar 24, 2026
Digital transformation among Chinese listed firms deepens cross-regional innovation ties and raises the quality and number of collaborative patents, with faster gains after a critical mass of digital patenting is reached. Network evolution and stronger inter-city relationships appear to mediate these effects, though the evidence is correlational rather than causally identified.
medium correlational Summary openalex
How Does Digital Transformation Affect Cross-Regional Collaborative Innovation: Evidence from A-Share Listed Firms · Binyu Wei, Xiaoyu Hu, Yushan Wang, Guanghui Wang · Mar 24, 2026
Employees who proactively expand their roles to work with generative AI report higher career satisfaction and better supervisor-rated performance because AI increases work meaningfulness, while defensive avoidance of AI erodes careers by increasing work alienation; autonomy magnifies the upside and blunts the downside, and these effects are confined to work rather than life satisfaction.
medium correlational Full text openalex
Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability · Yiheng Liu, Hongzhen Lei, Xiaoqian Qu · Mar 24, 2026
Reconstructed sentiment from sparse AI news reliably precedes stock-price moves by roughly three weeks across multiple pipeline designs; stable, market-relevant sentiment indices require careful aggregation and causal reconstruction rather than only better classifiers.
medium descriptive Full text openalex
Causal Reconstruction of Sentiment Signals from Sparse News Data · Stefania Anca Stan, Marzio Lunghi, Vito Vargetto, Cláudio Ricci, Rolands Repetto... · Mar 24, 2026
People quickly learn to recalibrate trust in miscalibrated AI confidence signals, improving judgment over repeated trials, but a counterintuitive 'reverse confidence' mapping resists correction for many users.
medium other Full text arxiv
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals · ZhaoBin Li, Mark Steyvers · Mar 23, 2026
Arbitrageurs can stitch together cheap models to undercut AI providers—simple strategies delivered up to 40% profit margins in a GitHub issue-resolution benchmark—pushing consumer prices down, squeezing provider revenues, and changing incentives around distillation and market entry.
medium descriptive Full text arxiv
Computational Arbitrage in AI Model Markets · Ricardo Olmedo, Bernhard Schölkopf, Moritz Hardt · Mar 23, 2026
Consulting small panels of AIs improves decision accuracy compared with a single AI, but adding more systems yields no extra benefit; unanimous AI advice encourages harmful conformity while a lone dissent tempers it, and human-like interfaces boost perceived usefulness without increasing pressure to conform.
medium rct Full text arxiv
More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice · Yuta Tsuchiya, Yukino Baba · Mar 23, 2026
Africa’s AI ambitions are held back by patchy high-performance compute, payment and energy bottlenecks, and fragmented data-sovereignty rules; an open-source tracker of continent-wide HPC capacity exposes a scattered landscape and calls for coordinated investments in compute, data and power to close the AI divide.
low descriptive Full text arxiv
Take the Train: Africa at the Crossroad of Modern AI · Cédric Manouan, Miquilina Anagbah, N'guessan Yves-Roland Douha, João Barros · Mar 23, 2026
Standardized futures could turn AI inference tokens into a tradeable commodity and sharply reduce firms' compute-cost volatility; simulations suggest hedging cuts volatility by 62%–78% in high-demand scenarios, though the results rest on stylized models and untested market assumptions.
low theoretical Full text arxiv
AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design · Yicai Xing · Mar 23, 2026
Automation and AI promise sizable productivity gains in Ukraine's mining and metallurgical sector, particularly where robot density is low; but those gains hinge on heavy investment in digital skills, engineering talent and ergonomic human‑systems integration to manage operator stress and operational risk.
medium review_meta Summary semantic_scholar
Human-replacing technologies as a driver of labour productivity growth in the mining and metallurgical complex · Hanna Sereda · Fetched Mar 23, 2026
A 30‑minute teamwork training makes human–agent pairs more effective: trained players delegated more tasks and used clearer strategies, and trained teams kept higher performance when the game's difficulty rose.
medium rct Summary semantic_scholar
Teaming Up With an AI Agent: Training Humans to Develop Human-Agent Teamwork Skills · Yvonne A. Farah, Jiwon W. Kim, Amanda K. Newendorp, Ghazal Shah Abadi, Michael C... · Fetched Mar 23, 2026
AI adoption is reshaping EU labour markets, hitting routine office and administrative roles hardest; the Netherlands, France, Portugal, Italy and Malta appear best positioned to translate AI diffusion into favourable labour‑market transformation.
medium correlational Full text semantic_scholar
Artificial intelligence as a driver of economic growth: Challenges and prospects for the labor market · Svitlana Korobka, Nataliia Tilikina, T. Gorokhova, M. Kravchenko, M. Lukash · Fetched Mar 23, 2026
An AI decision-support system finds Fukui prefecture may be losing roughly 866,000 visits a year—about ¥12 billion in potential revenue—and proposes DHDE-guided cross-prefectural nudges to redirect those flows. The model explains 81% of spending variation in-sample and 68% out-of-sample, but the revenue gains are model-derived and interventions remain untested.
low correlational Full text arxiv
Engineering Distributed Governance for Regional Prosperity: A Socio-Technical Framework for Mitigating Under-Vibrancy via Human Data Engines · Amil Khanzada, Takuji Takemoto · Mar 23, 2026
A closed-loop platform trains 8B enterprise agents that the authors say match GPT-4o on workflow benchmarks while cutting inference costs eight- to tenfold; the approach aims to let firms deploy capable, privacy-preserving assistants without sending data to frontier models.
medium descriptive Full text arxiv
EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises · Ankush Agarwal, Harsh Vishwakarma, Suraj Nagaje, Chaitanya Devaguptapu · Mar 23, 2026
Economies should stop overrelying on forecasts and build adaptive preparedness: a five‑pillar model places AI‑enabled decision systems alongside energy, supply‑chain, human‑capital and financial resilience to manage systemic shocks.
low theoretical Full text openalex
Beyond Forecasting: Adaptive Economic Preparedness in a Geopolitically Uncertain and AI-Driven World · Ravi Kumar Neelayapalem · Mar 23, 2026
AI has been remaking science for six decades: successive generations of tools have outsourced bottlenecks to machines, and an emergent ecosystem of agents, preprint platforms, codebases and citation infrastructure is speeding discovery, changing who can do science and altering incentives for credit.
n/a review_meta Summary openalex
A Brief History of AI for Scientific Discovery: Open Research, Metrics, and Autonomous Agents · Surasak Phetmanee · Mar 23, 2026
An LLM-driven graph workflow slashed API implementation time at Volvo from roughly five hours to under seven minutes per endpoint, achieving 93.7% automation accuracy; the pilot reported an estimated 979 engineering hours saved and unanimous stakeholder satisfaction.
medium quasi_experimental Full text arxiv
LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study · Shuai Wang, Yinan Yu, Earl Barr, Dhasarathy Parthasarathy · Mar 22, 2026
Firms that adopt generative AI report better decision quality and greater strategic agility, and these gains are linked to stronger organizational performance; however, benefits depend on company culture and technological readiness and the evidence is associative rather than causal.
low correlational Full text openalex
The Strategic Impact of Generative Artificial Intelligence on Organizational Decision Making · Muhammad Nawaz Khan · Mar 22, 2026
A cheap Shadow-RAG tutor unlocks latent capability in modern 32B models: on a graduate Applied Mathematics final, structured reasoning guidance lifts accuracy from 74% with naive retrieval to 90%, achieved with just 3 person‑days and a single consumer GPU, while older model generations improve far less.
medium descriptive Full text arxiv
From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG · Zonglin Yang, J. -H. Xie, Lining Zhang, Jiyou Jia, Zhi-X. Chen · Mar 21, 2026
AI deployment and its market value are highly concentrated: just 1.6% of work activities account for over 60% of AI market value, with 72% directed at information-based tasks and only 12% at physical activities.
medium descriptive Full text arxiv
Where can AI be used? Insights from a deep ontology of work activities · Alice Cai, Iman YeckehZaare, Shuo Sun, Vasiliki Charisi, Xinru Wang, Aiman Imran... · Mar 21, 2026
Firms engaged in an automation arms race rationally displace more workers than is socially optimal, eroding demand and harming both workers and owners; conventional fixes—from wages and entry to UBI or upskilling—fail, leaving a Pigouvian automation tax as the only effective remedy.
n/a theoretical Full text arxiv
The AI Layoff Trap · Brett Hemenway Falk, Gerry Tsoukalas · Mar 21, 2026
US mid-to-large firms that adopt AI in recruitment report faster, cheaper, and higher-quality hiring, with top-management support and perceived usefulness driving adoption; making algorithms transparent is crucial for perceived fairness and improved employee experience.
low correlational Full text openalex
Artificial Intelligence Adoption in Talent Acquisition: Effects on Recruitment Efficiency, Algorithmic Fairness Perceptions, and Employee Experience · Aichurek Nuralieva · Mar 21, 2026
Industrial robots strengthen Chinese cities' ability to withstand energy shocks, chiefly by modernising industry and boosting green innovation; the resilience gains are larger in cities with stricter environmental rules and higher science budgets.
medium quasi_experimental Summary openalex
Does the Application of Industrial Robots Enhance Urban Energy Resilience? Evidence from China · Bingnan Guo, Mengyu Li · Mar 21, 2026
Let platforms finance app development: revenue-sharing-as-infrastructure would let developers build on AI platforms without upfront fees, widening participation and aligning incentives between platforms and app-makers. The idea could unlock innovation and latent jobs in low-income countries, but its impact depends on platform strategy, monetization feasibility, and regulatory and payment-system realities.
n/a theoretical Full text arxiv
Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms · Ghislain Dorian Tchuente Mondjo · Mar 20, 2026
Google Gemini favors non-OTA sources for experiential hotel queries far more than for transactional ones, widening the discovery path beyond commission-driven intermediaries; the effect is stronger in Japanese than in English.
medium descriptive Full text arxiv
The End of Rented Discovery: How AI Search Redistributes Power Between Hotels and Intermediaries · Peiying Zhu, Sidi Chang · Mar 20, 2026