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AI puts low-skill assembly and packaging jobs at high risk across Nagpur’s MIDC zones, but is likely to create demand for machine-maintenance and data-supervision roles; without aggressive reskilling, the local workforce faces significant displacement.
low descriptive semantic_scholar
PREDICTING THE FUTURE OF JOBS IN NAGPUR DISTRICT MIDC: THE ROLE AND IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDIUM-SCALE INDUSTRIES · Abhay Udayrao Dhote, Dr. Rekachand Ganpat Gongale · Fetched Apr 14, 2026
A conservative, sector-level model finds AI could add around $1.06 trillion a year to US GDP by 2036 (3.6% of 2024 GDP), mostly driven by services and finance; even under bearish assumptions direct productivity gains approach $800–940 billion and infrastructure payback occurs before 2036.
medium descriptive semantic_scholar
AI Capex Is Justified: A Bottom-Up Sectoral Estimate of Artificial Intelligence's Net Impact on US GDP · V. Jadhav · Fetched Apr 14, 2026
A hierarchical reinforcement-learning controller raises simulated omnichannel supply-chain performance over common heuristics under demand shocks, though it still trails a perfect-information benchmark.
medium descriptive openalex
Omnichannel Supply Chains Amid Demand Shocks: A Centralized Hierarchical Reinforcement Learning Framework · Panagiotis G. Giannopoulos, Thomas K. Dasaklis · Apr 14, 2026
Making agents lose real money disciplined them: deploying multi-agent systems into live markets with capital depletion as the negative reward forced a shift to a strict test-driven workflow and produced a mature trading system with a 2.06 annualized Sharpe ratio. The evidence is intriguing but comes from a single, non-randomized 20-month deployment and may be contingent on market conditions and implementation details.
low descriptive arxiv
OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems · Kun Liu, Liqun Chen · Apr 13, 2026
A high-fidelity benchmark of junior investment-banker workflows shows frontier AI still far from ready for delegation: the best model fails roughly half of task criteria and produces no client-ready outputs in banker assessments; failures cluster on cross-document consistency and tool-based data retrieval.
low descriptive arxiv
BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows · Elaine Lau, Markus Dücker, Ronak Chaudhary, Hui Wen Goh, Rosemary Wei, Vaibhav K... · Apr 13, 2026
Only about half of CHI papers that publish data and code are fully reproducible: missing or poorly documented data, non-runnable analysis, and environment mismatches are the main culprits. The authors urge mandatory executable artifacts, environment capture (containers), clear documentation and incentives to raise reproducibility and strengthen empirical credibility.
medium review_meta openalex
On the Computational Reproducibility of Human-Computer Interaction · Olga Iarygina, Kasper Anders Søren Hornbæk, Aske ; id_orcid 0000-0003-1827-8513 ... · Apr 13, 2026
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 semantic_scholar
AI and Coder Employment: Compiling the Evidence · Leland D. Crane, Paul E. Soto · Fetched Apr 11, 2026