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China’s ‘intelligent manufacturing’ pilot program measurably improved ESG performance and curtailed greenwashing among listed manufacturers — raising ESG scores by roughly 0.14 and strengthening credibility of sustainability reporting, especially for competitive, growing, and capital‑scarce firms.
medium quasi_experimental openalex
Intelligent Manufacturing Demonstration Projects Driving Corporate ESG Ratings: An Analysis Based on Innovation Efficiency and Cost Management · Guo Hu, Bing Li · Mar 25, 2026
As automation from IoT, AI and robotics reshapes incomes, the paper proposes tying social security contributions to technology-generated income to shore up social protection—and warns that implementing such a scheme will face measurement, institutional and political hurdles.
n/a theoretical openalex
IoT, artificial intelligence, cloud computing and robotics and the contributory principle on social security · Marco António Cabeçais de Carvalho · Mar 25, 2026
Cheaper AI production may swell output without broad entrepreneurial gains: as more creators enter low-marginal-cost markets, scarce human attention dilutes per-producer returns and concentrates rewards among a few winners.
n/a theoretical arxiv
The Economics of Builder Saturation in Digital Markets · Armin Catovic · Mar 24, 2026
The EU's AI Act is poorly equipped to govern autonomous AI agents: rules built for conventional systems leave enforcement, monitoring, and resourcing gaps that risk unchecked failures, misuse, and unequal access unless policymakers rapidly revise institutional design.
n/a commentary arxiv
Regulating AI Agents · Kathrin Gardhouse, Amin Oueslati, Noam Kolt · Mar 24, 2026
Sellers are quietly optimizing for AI: after ChatGPT’s debut, Etsy listings grew richer in machine-readable cues — a form of 'mecha-nudging' that steers algorithmic recommendations without changing human-facing choices.
medium quasi_experimental arxiv
Mecha-nudges for Machines · Giulio Frey, Kawin Ethayarajh · Mar 24, 2026
A targeted uncertainty-visualization helps people handle more complex AI-mediated negotiations: in a lab property-rental study, the Bayesian 'agreement probability' display boosted deal quality and speed and prevented loss of human control once issues exceeded three.
medium rct arxiv
From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization · Mehul Parmar, Chaklam Silpasuwanchai · Mar 24, 2026
A task-based CES framework lets researchers read automation from routine macro data; applying it to Japanese manufacturing reveals rising automation driven by capital deepening despite weak productivity gains.
medium theoretical openalex
The macroeconomics of automation · Hideki Nakamura, Masakatsu Nakamura, Shota Moriwaki · Mar 24, 2026
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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 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... · Fetched Mar 22, 2026