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India's solar boom is polarizing employment: mid-level operations roles are shrinking as high-skilled AI and data positions rise, while low-wage installation jobs expand—raising concerns about regional inequality and the need for targeted re-skilling.
medium review_meta Summary semantic_scholar
Job Polarization in Solar Power Plants: A Systematic Literature Review · U. Srividya, U. Krishna · Fetched Mar 17, 2026
Firms that install AI products patent more and patent better — their inventions are more cited, more original and span new technological domains — and these innovation gains translate into higher R&D, productivity and market value, implying roughly a 1.5% boost to aggregate TFP.
medium quasi_experimental Summary semantic_scholar
AI and Productivity: The Role of Innovation · Viral V. Acharya, Xuehua Shao, Zhaoxia Xu · Fetched Mar 17, 2026
AI is accelerating pharmaceutical R&D in pilots—claims include cutting discovery timelines from years to weeks, slashing screening time and improving patient-selection accuracy—but the evidence is fragmented, often proprietary, and constrained by data bias, interpretability gaps and regulatory ambiguity.
n/a review_meta Full text semantic_scholar
THE AI REVOLUTION IN PHARMACEUTICALS: INNOVATIONS, CHALLENGES, AND FUTURE PROSPECTS – AN OVERVIEW · R. Vignesh, M. S. Umashankar, Damodharan Narayanasamy · Fetched Mar 17, 2026
AI adoption helps SME founders spot market opportunities and speeds product innovation while automating routine work, but benefits are uneven and accompanied by displacement and access concerns.
low correlational Full text semantic_scholar
Entrepreneurship in the Era of Artificial Intelligence: Redefining Opportunity Recognition, Labour Substitution, and Innovation Processes · Muhammad Sarfraz Latif, Mansoor Ahmed Soomro, Asif Ahmad, Muhammad Irfan Syed · Fetched Mar 17, 2026
Integrated AI across planning, execution and performance management is linked to measurable gains in supply‑chain forecasting, efficiency and responsiveness; execution capabilities matter most and performance‑management systems strengthen the planning-to-operations pathway.
low correlational Full text semantic_scholar
Smart Supply Chain Ecosystems: Artificial Intelligence Enabled Integration of Planning, Execution, and Performance Management · Zujaj Ahmed, Jauhar Abbas, Ahsan Hussain · Fetched Mar 17, 2026
AI-enhanced ESG analytics appear to boost equity portfolio performance and resilience compared with traditional ESG ratings, delivering higher returns and lower downside risk in the reported backtests; however, the evidence is associative and hinges on proprietary model choices and backtest assumptions.
low correlational Full text semantic_scholar
Green Intelligence in Finance: Artificial Intelligence-Driven ESG Analytics and Sustainable Investment Performance · Hind Gatoi, Islam Belhaoua, Kashf Akhtar, Miqdad Qadir, Nida Mohammad, Muhammad ... · Fetched Mar 17, 2026
AI-powered FinTech speeds cross-border payments and trims trade transaction costs, materially raising international trade efficiency; gains come mainly from better credit evaluation and fraud monitoring that lower uncertainty in trade finance.
low correlational Full text semantic_scholar
Artificial Intelligence in FinTech and Its Implications for International Trade Efficiency · Ali Raza, Muhammad Ali · Fetched Mar 17, 2026
Small businesses in underserved US communities that report higher AI adoption also report substantially better financial literacy, decision-making and higher profit growth (9.5% vs 5.8%), but gains are curtailed by low training uptake, uneven education and demographic barriers.
low correlational Summary semantic_scholar
The role of artificial intelligence in enhancing financial literacy, decision-making and growth, for small businesses in underserved communities · Gifty Akuffo · Fetched Mar 17, 2026
Generative AI has not produced broad job or wage losses yet, but demand for automatable and entry-level roles has fallen while AI-complementary occupations are growing; the net long-term impact will depend on policy, reskilling, and governance.
medium review_meta Full text semantic_scholar
The Impact of Generative AI on the Future of Employment: Opportunities and Challenges · Devansh · Fetched Mar 17, 2026
AI and digital transformation are remaking human capital from static credentials into dynamic learning ecosystems; continuous, data-driven reskilling — coordinated across schools, firms and government — is essential to reduce disruption and preserve competitiveness.
n/a descriptive Full text semantic_scholar
EDUCATIONAL AND PROFESSIONAL STRATEGIES FOR PREPARING HUMAN CAPITAL FOR DIGITAL TRANSFORMATION · Artem Horilyi, Nataliia Ivanova · Fetched Mar 17, 2026
State-of-the-art LLMs sharply boost human task performance—GPT‑4o increases accuracy by ~29 percentage points and Llama‑3.1‑8B by ~23—yet these gains hinge on a distinct collaborative ability rooted in perspective-taking, not just raw problem‑solving skill.
medium correlational Summary semantic_scholar
Quantifying and Optimizing Human-AI Synergy: Evidence-Based Strategies for Adaptive Collaboration · Jonathan H. Westover · Fetched Mar 17, 2026
An AI ensemble that alternates between a trust-building specialist and a performance-focused specialist improves human decision accuracy more than single-model assistants; a simple, provably near-optimal routing rule decides which specialist to use based on context.
medium other Full text semantic_scholar
Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration · H. Amin, Ming Yin, Rajiv Khanna · Fetched Mar 17, 2026
Widespread AI use is producing 'AI brain fry'—employees facing cognitive overload report higher turnover intentions and falling productivity. Employers must redesign work systems, training and governance to make AI a productivity enhancer rather than a drain on human attention.
medium review_meta Summary semantic_scholar
When AI Assistance Becomes Cognitive Overload: Understanding and Managing "Brain Fry" in the Modern Workplace · Jonathan H. Westover · Fetched Mar 17, 2026
A new Trust–Complementarity model argues organisations make better knowledge‑intensive decisions when calibrated trust in AI is paired with complementary human–machine capability use, creating feedback loops that amplify learning; the framework gives executives levers (training, metrics, team design) but remains untested empirically.
n/a theoretical Summary semantic_scholar
Optimising Human– AI Decision Performance: A Trust and Capability Framework for Knowledge Management · Eduardo Carlos Dittmar, Martin Sposato · Fetched Mar 17, 2026
Demand for AI skills in knowledge work has surged since ChatGPT—appearing in 27.8% of job listings and linked to a 17.7% advertised wage premium—while adoption varies from 43.2% in high-tech to 9.7% in the public sector. Conventional appraisal systems miss hybrid human–AI capabilities, so the paper proposes a three-part performance framework (AI Tool Mastery, Collaborative Work Quality, Human–AI Synergy) for firms redesigning work.
low correlational Full text semantic_scholar
Reconstruction of knowledge worker performance evaluation system in the ChatGPT era: an exploratory study based on human-AI collaborative work model · Zhixin Yu, Zhicheng Yu · Fetched Mar 17, 2026
Divergent depths of strategic reasoning among AI agents undermine teamwork, but agents that infer and adapt to partners’ Theory-of-Mind depth recover most coordination losses across matrix, navigation and Overcooked tasks.
medium descriptive Full text arxiv
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination · Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia... · Mar 17, 2026
Generative quantum-code models claim syntactic and semantic competence, but none demonstrate real-device execution, leaving practical deployability and commercial value uncertain; investors and researchers should treat reported performance as provisional until hardware-level validation is provided.
medium review_meta Full text arxiv
Generative AI for Quantum Circuits and Quantum Code: A Technical Review and Taxonomy · Juhani Merilehto · Mar 17, 2026
A modular, multi-agent interviewing system outperforms single‑agent LLM assessments on robustness and auditability, delivering high accuracy and candidate satisfaction while reducing subjective bias; its gains hinge on rubric design and come with higher engineering and compute costs.
medium descriptive Full text arxiv
CoMAI: A Collaborative Multi-Agent Framework for Robust and Equitable Interview Evaluation · Gengxin Sun, Ruihao Yu, Liangyi Yin, Yunqi Yang, Bin Zhang, Zhiwei Xu · Mar 17, 2026
Leaderboard accuracy for frontier LLMs is materially inflated: about 13.8% of MMLU items show evidence of training-data exposure, boosting reported scores (particularly in STEM/professional subjects) and creating memorization fingerprints that can mislead buyers, investors and benchmark-driven procurement.
medium descriptive Full text arxiv
Are Large Language Models Truly Smarter Than Humans? · Eshwar Reddy M, Sourav Karmakar · Mar 17, 2026
A modular pre-processor that recovers implied premises, weights recent context, and verifies semantic alignment can cut misaligned or off-topic AI replies and reduce correction cycles; the approach promises productivity gains and changed labor demands but entails extra compute, latency and careful tuning.
n/a theoretical Full text arxiv
A Context Alignment Pre-processor for Enhancing the Coherence of Human-LLM Dialog · Ding Wei · Mar 17, 2026
Algorithmic lenders improve repayment rates and borrower resilience but raise financial stress; stronger borrower skills and governance arrangements convert algorithmic lending from a mixed risk into net benefit.
low correlational Full text openalex
Architecting financial well-being in algorithmic credit systems: The roles of human capability and institutional design · Christian Anthony Flores · Mar 17, 2026
Moderate data sharing maximizes welfare: a theoretical model finds that sharing big data incurs privacy costs that can slow welfare initially but, when calibrated optimally, drives long-run growth through innovation and multiplier effects. Policymakers should balance privacy protections against the long-term productivity gains of data-driven R&D.
n/a theoretical Full text openalex
Study on the impact of big data sharing on individuals’ welfare—from the perspective of consumption and privacy · Hanghang Dong, Xiaoming Li, Yadi Liu, Chan Wang · Mar 17, 2026
Startups report productivity and skills gains from AI: interviews with a dozen employees find faster task completion, better decision-making and rising digital competencies, though initial adaptation hurdles persist.
low descriptive Full text openalex
AI-AUGMENTED WORKFORCE: THE IMPACT OF ARTIFICIAL INTELLIGENCE INTEGRATION ON EMPLOYEE COMPETENCIES AND PERFORMANCE IN THE DIGITAL ERA · Kadar Nurjaman, Avid Leonardo Sari, A Syathir Sofyan, Rahayu Kusumadewi, Nurhaet... · Mar 17, 2026
Generative AI on Microsoft Azure can yield positive enterprise ROI—largely through productivity and cost efficiencies—provided firms align deployments with business processes, Azure OpenAI/Azure ML integration and strict FinOps cost governance; integration reduces total cost of ownership and improves scalability and compliance.
low descriptive Full text openalex
Measuring Business ROI of Generative AI Adoption on Azure Cloud Platforms · Rahul Modi · Mar 17, 2026
AI can cut material waste and boost factory resource efficiency—case evidence shows up to 25% efficiency gains and 30% less scrap—but gains are uneven, with SMEs and firms in emerging markets falling behind due to data and capability constraints.
medium review_meta Full text openalex
Artificial intelligence as a catalyst for the circular economy: a mixed-methods analysis of sustainable production ecosystems (2023–2024) · A. Lopez, Carlos Luengo Vera, Ángel Javier Álvarez Miguel · Mar 17, 2026