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Women in Sweden are concentrated in occupations predicted to be most exposed to generative AI, creating a risk that ChatGPT-style tools could widen the gender pay gap. Simulations based on exposure scores and assumed task complementarities suggest increased wage disparity, though the magnitude depends heavily on adoption patterns and modelling assumptions.
low correlational Summary semantic_scholar
<scp>Pre‐AI</scp> Sorting, <scp>Post‐AI</scp> Inequality: Generative <scp>AI</scp> and the Gender Wage Gap · Malin Gardberg, F. Heyman, M. Olsson, Joacim Tåg · Fetched May 25, 2026
An AI-powered econometric system that combines official indicators with live job-posting text and modern machine-learning models yields sharper, faster labour-market forecasts than classical methods; the gains hinge on data coverage and continual model maintenance.
medium descriptive Summary semantic_scholar
AI-Augmented Econometrics: Transforming Labor Market Analysis with Scalable Data Pipelines and Predictive Models · Pavan Kumar, Reddy Dhanireddy · Fetched May 25, 2026
Uzbekistan's AI push is creating a two-speed labor market: brisk demand for IT and digital skills but a structural shortage of qualified workers and a widening education–employer mismatch, prompting targeted employment and training reforms.
low descriptive Summary semantic_scholar
The Impact of Artificial Intelligence During the Transformation of The Labor Market in Uzbekistan · Abduraimova Nigora Rajabovna · Fetched May 25, 2026
Generative AI is concentrating in Beijing’s urban core and has stalled wage growth there despite continued inflows of skilled workers, creating a ‘high‑skill trap’; a difference‑in‑differences analysis around ChatGPT’s release suggests the impact is causal.
medium quasi_experimental Full text arxiv
Generative AI impacts on intra-urban inequality and skill premium in Beijing · Xiliu He, Haoxiang Zhao, Mingyi Ma, Edward Wen Chuan Lai, Koei Enomoto, Anni Hu,... · May 25, 2026
Adopting an AI coding assistant coincides with a sharp expansion of developers' technical frontier: adopters average ~41 more monthly commits, 1.5 additional repositories, and roughly half a new programming language cumulatively, with gains growing over time.
medium quasi_experimental Full text arxiv
Coding Beyond Your Training: Claude Code and the Technological Frontier of Software Developers · Alexander Quispe · May 25, 2026
AI can make organizations more brittle: by accelerating structural crystallization, AI-driven optimization risks eroding the relational adaptability that enabled many firms to survive the pandemic; organizations should design for temporary structures and protecting generative renewal rather than maximising static efficiency.
n/a theoretical Full text openalex
The Lantern in the Vault: AI, Crisis, and the Ontology of Organizational Survival · Kazunori Ohumi · May 25, 2026
AI activity lifts demand for China’s education and training market primarily in bullish conditions, while policy uncertainty tends to depress it during calmer periods. Risk spillovers from AI to training are larger and more volatile than those from policy uncertainty, implying policymakers should balance AI-driven opportunity with market stability.
low correlational Full text openalex
Quantile-based Nonlinear Impact of Artificial Intelligence and Economic Policy Uncertainty on Education and Training Market in China · Liyao Cui · May 25, 2026
AI innovation reshapes employment toward higher‑skill roles rather than merely displacing workers; difference‑in‑differences evidence shows AI complements high‑skilled labor and shifts the occupational mix upward (with gains also observed at the low end).
medium quasi_experimental Full text openalex
Impact of artificial intelligence innovation on labor structure: a study based on staggered DID method · Yufeng Dou, Yiru Niu · May 25, 2026
AI use among German firms surged from 2023 to 2024, particularly in manufacturing and services, led by larger firms and risk-tolerant managers; adopters report expecting meaningful long-term productivity gains.
medium correlational Summary semantic_scholar
AI adoption among German firms · T. Licht, Klaus Wohlrabe · Fetched May 24, 2026
AI investments pay off mainly by speeding decision-making: firms' technical and managerial AI capabilities raise performance chiefly through greater decision-making agility, but the payoff depends on how dynamic and complex the external environment is; configurational analysis shows multiple routes to high performance depending on firm and environmental conditions.
low correlational Summary semantic_scholar
AI for decision-making: exploring the linkage from AI capability to firm performance · Boram Kwon, Junyeong Lee, Hyungjin Lukas Kim · Fetched May 24, 2026
Translators have been converted into AI's unpaid data capital: their aligned translations fuel modern machine translation and LLM training, yet contract terms and copyright interpretations treat these outputs as mined data rather than creative labour, leaving translators unrecognised and uncompensated. The paper maps the data-supply chain across translators, LSPs, platforms and model developers and proposes legal and design directions to redistribute value.
n/a descriptive Full text arxiv
Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data · Masaru Yamada · May 24, 2026
Treat AI agents as first-class workers: a new enterprise workforce design frames AI and humans with a unified operational schema and a hybrid capacity model, promising up to 28% lower scheduling inefficiency and clearer attribution where two-thirds of firms report failures; the framework is conceptual and still needs real-world testing.
low descriptive Full text openalex
Workforce Unit Abstraction for Governing Hybrid Human and Artificial Intelligence Operations · G. Yuvaraj · May 24, 2026
AI is enhancing trading efficiency, ESG analytics and risk assessment in major financial centres but is also introducing opacity, bias and systemic fragilities; whether these benefits materialize for sustainable finance hinges on adaptive, coordinated regulatory oversight.
low descriptive Summary openalex
Artificial Intelligence in Financial Security Markets: Catalyzing Sustainable Development Through Innovation, Risk Mitigation, and Adaptive Governance · Suleman Bawa, Ibn Wahab Benin, Harika Kancham, Pedro Munoz-Ramirez · May 24, 2026
AI deployment alone does not guarantee productivity gains; workforce skills, incentives and organizational flexibility determine whether technical advances translate into value. Managers and policymakers must address learning, capability and incentive structures—not just procure models—to realize AI's economic potential.
n/a commentary Full text arxiv
Position: Adopting AI in Practice Does Not Guarantee the Productivity Boost · Won Ik Cho, Seong-hun Kim, Geunhye Kim · May 23, 2026
LLMs turn bug-finding into a volume problem rather than a scarcity problem: cheaply produced candidate reports flood defenders, moving value toward evidence-rich remediation, triage, and release capacity, with open-source maintainers especially strained.
medium descriptive Full text arxiv
Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput · Alfredo Pesoli, Herman Errico, Lorenzo Cavallaro · May 23, 2026
HARMONY: a proposed operating model for agentic R&D that seeks to reverse the productivity decline by shifting researchers' time from hidden coordination work to strategic science through bounded autonomous agents, orchestration metrics, and a new sciencepreneur role; evidence is conceptual and based on four expert interviews and foresight scenarios.
low theoretical Full text arxiv
From Replacement to Orchestration: A Socio-Technical Architecture for Agentic AI in Corporate R&D · Haithem Boussaid, Marc Heemskerk, Jimmy Siméon, Adam Breen, Merouane Debbah · May 23, 2026
AI improves efficiency and customer personalisation for Delhi startups, but founders’ openness and experimentation—not firm size or money—determine who benefits; the biggest obstacles are talent shortages and organisational resistance.
low descriptive Full text semantic_scholar
Navigating the Intelligence Frontier: AI Adoption as a Success Factor Among Entrepreneurs in Delhi/NCR · B. Mukherjee, Jagat Narayan Giri · Fetched May 23, 2026
Fewer than one in four U.S. manufacturing plants reported using AI in 2021, with uptake concentrated among larger, digitally modernized facilities; cost, unclear use cases and skill gaps—not past productivity—appear to limit diffusion.
medium correlational Summary semantic_scholar
The Adoption of Industrial AI in America · Kristina McElheran, Mu-Jeung Yang, Zachary Kroff, Erik Brynjolfsson · Fetched May 23, 2026
Generative AI accelerates startups' growth experiments and automates data housekeeping, but faster testing produces lasting gains only when teams correct analytic biases and institutionalize measurement into reusable knowledge.
low descriptive Summary semantic_scholar
Reframing growth hacking in resilient startups: the role of generative AI in experimentation, decision-making and learning · Gabriele Santoro, Gianluca Centraco, Michael Christofi, A. Ključnikov · Fetched May 23, 2026
AI exposure reshapes firm skill portfolios: displacement cuts routine cognitive roles while augmentation raises demand for nonroutine analytical skills, and both produce shallower, more dispersed skill mixes concentrated in small, low-threshold firms; policy should favor broad, portable reskilling over deep single-track specialization.
medium quasi_experimental Summary semantic_scholar
Toward Sustainable Workforce Development: How AI Reshapes Skill Demand Structure—Evidence from 67 Million Job Postings in China · Lingzhe Zhang, Chenglei Zhang · Fetched May 23, 2026
AI should learn the unsaid: rather than only processing explicit knowledge, future systems must model experts' tacit sensing longitudinally through a Tacit Signal Infrastructure and Long-term Cognitive Operations. To make this practical and accountable the paper proposes a new professional role—the Cognitive Operations Manager—and a training/research framework (CORTF) to govern, validate, and train these capabilities.
n/a theoretical Full text arxiv
Tacit Signal Infrastructure: Towards AI Systems that Model Expert Sensing Over Time · Annie Yuan · May 23, 2026
Decision-makers report greater optimism and trust toward machine forecasters than human analysts, but a pervasive ambiguity-insensitivity—stronger among the financially literate—blunts the influence of beliefs on trust.
medium quasi_experimental Full text openalex
Trusting human versus machine predictions as a decision under ambiguity · Enrico Diecidue, Ahmed Guecioueur, Qiong Xia · May 23, 2026
AI is reshaping jobs: it automates routine tasks while spawning new roles, but the net effect on employment and inequality depends on reskilling, firm practices and policy; without deliberate workforce investment and governance, displacement and rising inequality are likely.
low review_meta Full text openalex
Impact of Artificial Intelligence on Employment and Society · Sayali Nipane · May 23, 2026
Algorithmic management can silence factory workers: in Malaysian manufacturing SMEs, HR algorithms and monitoring may erode autonomy, competence and relatedness, creating a sense that speaking up is futile and driving acquiescent (resignation) silence. The paper offers three testable propositions and HR interventions to mitigate this risk.
n/a theoretical Full text openalex
Algorithmic Management and Acquiescent Silence: The Mediating Role of Perceived Voice Futility in Malaysian Manufacturing SMEs · Nabeela Abid, Harcharanjit Singh, Arslan Hussain · May 23, 2026
A new concordance maps patents to market-facing trademarks, giving researchers a practical way to trace how patented technologies diffuse into products and markets; the validated mapping can be used to study technology adoption at firm, regional and national levels.
n/a descriptive Full text openalex
A concordance between patent and trademark classes to link technologies to markets · Milad Abbasiharofteh, Carolina Castaldi, Sergio Petralia · May 23, 2026