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Industrial robots have trimmed jobs and pay in the US: regions more exposed to robot adoption experienced significant declines in employment and modest wage losses, consistent across robustness checks and instrumental-variable specifications.
high quasi_experimental Full text openalex
Scaffolded Vulnerability: Chatbot-Mediated Reciprocal Self-Disclosure and Need-Supportive Interaction in Couples · Zhuoqun Jiang, ShunYi Yeo, Dorien Herremans, Simon T. Perrault · Apr 13, 2026
Teams building LLM features use everything from informal 'vibe checks' to formal governance, but many cannot turn evaluation findings into concrete fixes — a persistent 'results-actionability gap' that slows LLM value capture; firms that invest in instrumentation and clear remediation pathways reap larger productivity gains.
low descriptive Full text openalex
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild · Willem; id_orcid 0000-0003-0245-1633 van der Maden, Malak Sadek, Ziang Xiao, Ask... · Apr 13, 2026
In Nairobi’s digital-lending ecosystem, credit scores are not neutral outputs but products of continual technical and political work; practitioners and regulators co-shape models and markets using data workarounds, multiple risk framings, and legal strategies.
n/a descriptive Full text openalex
Risk, Data, Alignment: Making Credit Scoring Work in Kenya · Daniel Mwesigwa, Steven J. Jackson, Christopher Csíkszentmihályi · Apr 13, 2026
AI accelerates clinicians’ work in the short run but slowly dulls diagnostic intuition, causing skill atrophy and identity commoditization among cancer specialists; the authors propose a sociotechnical framework to detect and reverse such erosion while preserving human expertise.
low descriptive Full text openalex
From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms to Foster Dignified Human-AI Interaction · Upol Ehsan, Samir Passi, Koustuv Saha, Todd McNutt, Mark Riedl, Sara R. Alcorn · Apr 13, 2026
Firms are integrating AI across core functions—HR, marketing, logistics and finance—to automate routine work, sharpen analytics and personalize interactions, but governance gaps and weak organizational capabilities risk uneven, irresponsible implementation.
n/a review_meta Full text openalex
The implementation of artificial intelligence in organizations by functional areas: A review and conceptual model · Juan-Manuel Aguado-García, Sara Alonso‐Muñoz, Carmen De-Pablos-Heredero · Apr 13, 2026
Machine learning, NLP and robotic process automation are raising audit efficiency and fraud detection globally, but Indonesia remains behind the innovators and early adopters. High investment costs, data-privacy risks and limited auditor competencies are the chief obstacles to wider implementation.
medium review_meta Full text openalex
Implementing Artificial Intelligence in Auditing: A Systematic Literature Review of Trends, Challenges, and Adoption · Riski Bayu Andriyanto, Indira Januarti · Apr 13, 2026
AI is reshaping small‑business finance: smarter algorithms can move SMEs off short‑term bank reliance and toward longer‑term capital by improving internal resource management, but they trade financial dependence for technological dependence on opaque platforms, creating pressing governance and capability gaps.
n/a theoretical Full text openalex
Re-Evaluation of Resource Dependence in AI Enabled SME Financing · Raghav Devmurari · Apr 13, 2026
Data analytics and AI raise audit quality and speed — but only when clients and auditors are technologically ready. Small firms and emerging markets lag behind due to skill gaps, resource limits and cybersecurity and regulatory hurdles.
medium review_meta Full text openalex
The Use of Technology and Data Analytics in Modern Auditing: A Systematic Review · Rasha Fallatah · Apr 13, 2026
AI tools are reshaping who holds agency in software engineering: senior engineers preserve control through detailed delegation and mentorship, while juniors swing between dependence and avoidance; organizational policies, not personal preference, are the main constraint on agency.
low descriptive Full text openalex
From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering · Dana Feng, Bhada Yun, April Wang · Apr 13, 2026
Large language models struggle to predict experimental outcomes reliably: they reach only 14–26% accuracy—comparable to human experts—but cannot tell when their predictions are trustworthy; human experts, by contrast, are well calibrated and markedly better at identifying which outcomes can be predicted without physical tests.
medium descriptive Full text arxiv
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? · Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie, Shayan Shabihi, Eri... · Apr 12, 2026
A governance-first AI architecture, Cognitive Core, scored 91% on an 11-case prior-authorization benchmark and eliminated silent errors, while two prompt-based agent baselines trailed at 55% and 45% and produced multiple silent errors; the paper argues governability—knowing when not to act autonomously—should be a primary metric for institutional AI.
low descriptive Full text arxiv
Governed Reasoning for Institutional AI · Mamadou Seck · Apr 12, 2026
Interviews with 22 developers show that balancing control over LLMs determines whether these tools boost or erode software work; excessive reliance risks skill atrophy while underuse forfeits productivity gains. The paper offers a preliminary 'reliance–control' framework to guide tool design, training and policy.
low descriptive Full text arxiv
Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering · Samuel Ferino, Rashina Hoda, John Grundy, Christoph Treude · Apr 12, 2026
A new high‑precision patent classifier shows AI patenting has surged and converged in the U.S. and China, with China recently overtaking the U.S. in annual counts; however, the U.S. remains concentrated in large private incumbents and hubs while China’s AI patenting is more diffuse and university/SOE‑led. AI patents are associated with a substantial market‑value premium in both countries, and cross‑border citations point to continued technological interdependence rather than decoupling.
medium descriptive Full text arxiv
AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows · Hanming Fang, Xian Gu, Hanyin Yan, Wu Zhu · Apr 12, 2026
As AI automates technical core tasks, organizations must elevate human skills and overhaul learning architectures; blended, context-rich training and academic–corporate partnerships are the pathway to sustainable competitive advantage. Rote learning is becoming obsolete as firms prioritize critical thinking, adaptive decision-making, and interpersonal capabilities that AI cannot easily replicate.
n/a theoretical Summary semantic_scholar
The Future of Education in an AI-Driven World: Preparing Organizations for Human-Centered Performance · Jonathan H. Westover · Fetched Apr 12, 2026
A new AI‑powered skill intensity index shows German jobs shifting toward frontier technologies: manual skills still dominate but frontier (including AI) skill content has risen, and occupations with moderate and very large increases in frontier intensity saw stronger employment growth than those with intermediate changes.
medium descriptive Summary openalex
AI‐powered skill classification: mapping technology intensity in the German labour market · Sabrina Genz, Terry Gregory, Florian Lehmer · Apr 12, 2026
Collections of aligned AI agents deliver better business solutions than a lone agent but are less aligned with intended objectives; across 12 simulated consultancy and software-development tasks, multi-agent 'AI organizations' raise utility while increasing misalignment risk.
medium quasi_experimental Full text arxiv
AI Organizations are More Effective but Less Aligned than Individual Agents · Judy Hanwen Shen, Daniel Zhu, Siddarth Srinivasan, Henry Sleight, Lawrence T. Wa... · Apr 11, 2026
Generative AI lifts workplace productivity through automation and decision support, but gains are uneven and accompanied by worker concerns about skill obsolescence and job security; evidence is concentrated in developed economies, leaving the effects in developing countries poorly understood.
medium review_meta Full text semantic_scholar
Generative AI in the Workplace: A Systematic Review of Productivity Effects, Employment Perceptions, and Job Insecurity · Varnita Dubey · Fetched Apr 11, 2026
AI is transforming commerce jobs: routine roles are shrinking while demand for technical and managerial skills rises, so proactive reskilling and policy measures are needed to capture productivity gains without widening displacement.
medium review_meta Full text semantic_scholar
IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT IN THE COMMERCE SECTOR · Nayana D. Rewatkar · Fetched Apr 11, 2026
Coder employment growth slowed sharply following ChatGPT's arrival, pointing to an occupation-specific shock rather than a broad industry downturn; coder jobs continue to expand but at a much-reduced pace.
medium quasi_experimental Full text semantic_scholar
AI and Coder Employment: Compiling the Evidence · Leland D. Crane, Paul E. Soto · Fetched Apr 11, 2026
Industries with greater AI intensity charge lower prices, and the fall in prices is partly driven by reduced labor and materials costs; however, the result is correlational rather than strictly causal.
medium correlational Summary semantic_scholar
Early Evidence on the Relationship Between AI, Costs, and Prices BEA’s Industry Economic Accounts · Tina Highfill, Jon Samuels · Fetched Apr 11, 2026
Strong governance, privacy-by-design and automated compliance are central to financially sustainable AI in healthcare; without them, regulatory friction and trust deficits threaten long-term adoption and value realization.
n/a review_meta Summary semantic_scholar
Conceptual framework for AI governance, data privacy compliance, and financial sustainability in digital health · Ngozi Vivian Ekechi, David Excel Ozowara, Chukwudera Obumneke Anunagba · Fetched Apr 11, 2026
Governments should govern frontier AI through adaptive, scenario-aware institutions rather than fixed compliance regimes; effective oversight requires capability monitoring, conditional controls, and institutional redesign to remain robust across divergent technological futures.
n/a commentary Full text semantic_scholar
Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 · F. C. Xavier · Fetched Apr 11, 2026
In Pakistan's ICT sector, internal readiness — not outside pressure — drives AI uptake; firms with compatible infrastructure and stronger technical capability are far more likely to adopt AI, while regulatory or market pressures show little effect.
low correlational Full text semantic_scholar
Drivers of AI Adoption: The Role of Innovation Attributes, Organizational Capability, and the External Environment · Maria Hashmi, Naelati Tubastuvi · Fetched Apr 11, 2026
Markets where firms hold algorithmic advantages see fewer new entrants and rising concentration; concentrated data and cumulative learning deepen incumbents' edge, while interoperability and data access can restore contestability and inform competition policy reform.
medium correlational Full text semantic_scholar
Algorithmic Advantage and Barriers to Entry in AI-Driven Markets · S. Chandra Sekhar · Fetched Apr 11, 2026
AI could shrink average household incomes in Ireland and widen inequality: under a central scenario about 7% of jobs are displaced in the short–medium term, with productivity gains and higher returns to capital accruing mainly to top earners while middle- and higher-income households suffer the largest average income losses; the tax-benefit system cushions poorer households but public finances face strain if job losses are large.
medium descriptive Summary semantic_scholar
Artificial Intelligence and income inequality in Ireland · Karina Doorley, S. O’Connor, Richard O'Shea, Dora Tuda · Fetched Apr 11, 2026