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Countries with greater diffusion of cognitive technologies saw measurable gains in entrepreneurial opportunities: a one-standard-deviation rise in a Cognitive Tools Index is associated with a 0.33 increase in a composite Market Opportunity Index between 2020 and 2024. The result—from a dynamic panel with instrumental variables—points to the value of digital infrastructure, human capital and open data to sustain innovation.
medium quasi_experimental Full text openalex
Innovative Cognitive Tools for Studying Market Opportunities for Entrepreneurship · Taliat Bielialov, Maryna Salun, Alina Lytvynenko, Halyna Yamnenko, Olha Romanko · Mar 16, 2026
Generative AI can reliably spot employment-law claims and draft investigatory plans comparable to junior associates, potentially saving firms many hours of research; but frequent incorrect case citations mean human lawyers must still verify and supervise outputs.
low descriptive Summary openalex
Robot Wingman: Using AI to Assess an Employment Termination · Perritt, Henry H., Jr. · Mar 16, 2026
A shared AI professional vocabulary crystallized quickly in early 2024, but practitioners never coalesced into a distinct occupation; instead, AI skills diffused into existing jobs rather than creating a new 'AI Engineer' class.
medium descriptive Full text openalex
NLP Occupational Emergence Analysis: How Occupations Form and Evolve in Real Time -- A Zero-Assumption Method Demonstrated on AI in the US Technology Workforce, 2022-2026 · David Nordfors · Mar 16, 2026
A hybrid AI hiring engine combining Transformer embeddings and a skills knowledge graph improves candidate retrieval and provides factor-level explanations compared with traditional keyword search on the JobSearch-XS benchmark; the system is released with a demo and installable package.
n/a descriptive Full text arxiv
JobMatchAI An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI · Mayank Vyas, Abhijit Chakraborty, Vivek Gupta · Mar 15, 2026
AESP lets AI agents transact at machine speed on crypto rails while preventing them from gaining unilateral control over funds by combining deterministic policy checks, tiered human review, cryptographic dual-signing and escrow, context-isolated privacy, and a hardened crypto substrate; the protocol is released as an open-source TypeScript SDK with a formal evaluation plan but lacks field validation.
low descriptive Full text semantic_scholar
AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement · Jian Wang · Fetched Mar 15, 2026
AI could substantially raise social welfare in health, education, environment and civic services, but those gains will not be automatic — governments must couple procurement, standards and risk frameworks with international cooperation to prevent bias, unequal access and systemic harm.
low review_meta Full text semantic_scholar
AI for Good: Societal Impact and Public Policy · Dr.Madhulika Sonawane, Mr. Nilesh Sapkale · Fetched Mar 15, 2026
Psychological readiness, not just technical capability, is the main obstacle to AI adoption in U.S. firms; a new organizational-psychology framework prescribes a five-phase HR and governance roadmap to unlock productivity benefits.
n/a theoretical Full text semantic_scholar
Developing Organizational Psychology Frameworks to Prepare the U.S. Workforce for Artificial Intelligence Integration and Competitiveness · Anita Naa Adoley Badoo · Fetched Mar 15, 2026
Hybrid human–AI translation substantially improves employment outcomes for limited-English immigrants—up to 40% better job-placement accuracy and ~20% higher retention—while reductions in public translation services push workers toward informal, inequitable solutions.
low correlational Full text semantic_scholar
Translation Models Empowering Immigrant Workforce Integration in the US Policy and Economic Implications · Haytham Othman Hassan Abdalla, Manal ELtayeb Mohamed Idris, Nawal Mosa Mohammed ... · Fetched Mar 15, 2026
AI is not just a technology but a tool of geopolitical power: the United States, China and the European Union are shaping three distinct AI orders that concentrate economic value and lock other countries into dependency through control of models, data and standards; regulatory divergence and standards competition will reconfigure trade, investment and market access.
low theoretical Summary semantic_scholar
The Geopolitics of Artificial Intelligence: Power, Regulation, and Global Governance · Cuneyt Yilmaz · Fetched Mar 15, 2026
AI appears to deliver the biggest macro gains in weaker or early-regime conditions within G7 countries, but shows no measurable benefit in high-performing regimes; by contrast, FinTech and financial development deliver larger payoffs in upper-tail regimes, and high governance scores correlate negatively at the top quantile—a pattern the authors interpret as institutional rigidity limiting advanced-system gains.
low correlational Summary semantic_scholar
Towards Smart, Economic Performance and Sustainable Monetary Policy: The Role of AI and FinTech in G7 Economies · M. Ageli · Fetched Mar 15, 2026
India frames AI as a key engine for future growth and smarter government, yet policy currently rests on a fragmented legal patchwork; without clear, enforceable data governance and competition rules, AI risks concentrating gains, eroding privacy, and widening regional and skill‑based inequalities.
n/a descriptive Full text semantic_scholar
Regulation and governance of artificial intelligence in India · Malte Jauch · Fetched Mar 15, 2026
Academic economics on AI is clustered around supply chains, labor markets and large language models, with a sharp rise in LLM studies after ChatGPT; crucial policy questions—measuring AI-driven growth, evaluating industrial policy, and assessing regulatory and cross-border effects—remain underexplored.
n/a review_meta Summary semantic_scholar
Mapping the Landscape of the Economics of AI Literature: Gaps and Opportunities for Research and Policy · Lucy Hampton, J. L. Poquiz · Fetched Mar 15, 2026
Information, not experience, shifts public support for government AI: learning about AI markedly changes citizens' attitudes—even overriding prior beliefs and personal experience working under an AI manager—whereas being managed by an AI alters task performance but leaves views on public-sector AI largely unchanged.
high rct Full text semantic_scholar
The Politics of Using AI in Policy Implementation: Evidence from a Field Experiment · Yotam Margalit, Shir Raviv · Fetched Mar 15, 2026
AI-enabled forecasting and intelligent dispatch can materially raise revenues, extend life and cut emissions for grid-scale batteries, improving levelized cost of storage and payback times; however, most claimed gains stem from simulations and isolated demos, and scaling them requires better data, lighter algorithms and market rules that reward speed and degradation-aware operation.
n/a review_meta Summary semantic_scholar
Grid-Scale Battery Energy Storage and AI-Driven Intelligent Optimization for Techno-Economic and Environmental Benefits: A Systematic Review · N. Ketjoy, Y. Muna, M. Kaewpanha, Wisut Chamsa-ard, Tawat Suriwong, C. Termritth... · Fetched Mar 15, 2026
Strong governance turns AI and other technologies into sustainable development gains, while weak governance systematically blocks progress—especially in developing and transition economies. Investments in transparency, rule of law, and interoperable information systems are prerequisites for AI to deliver equitable, climate‑resilient benefits.
low descriptive Full text semantic_scholar
Good Governance and Sustainable Development: Pathways, Principles, and Policy Imperatives · Pradip Kumar Das · Fetched Mar 15, 2026
Across several Central and Eastern European economies, AI adoption rarely boosts output unless firms already have standardized processes, management systems and skilled workers; without these complements, AI gets filtered out in a 'productivity funnel'. Policy and investment should prioritize organizational readiness and skills alongside AI tools to realize productivity gains.
medium correlational Full text semantic_scholar
The complementarity trap: AI adoption and value capture · G. Pitić, Mihajlović Čolić, Teodora Ilić, Milica Simić · Fetched Mar 15, 2026
Where deployed, digital and AI tools shave processing times and reduce errors in Nigeria’s ports, but national gains are muted by poor connectivity, legacy systems and weak regulatory and institutional capacity; scaling benefits will require coordinated investment in infrastructure, skills and governance.
low review_meta Summary semantic_scholar
Digital and Ai-Driven Logistics in Nigeria’s Maritime Supply Chain: Adoption, Barriers, and Performance Outcomes · Onah Tobechukwu Francis, Ukpai Ukpai Eni · Fetched Mar 15, 2026
Developers who use generative-AI tools frequently report notable gains in productivity and code quality, with usage frequency the strongest predictor of perceived benefit. Adoption spreads from Enthusiasts to Pragmatists while security worries and a stalled market for AI testing tools slow broader diffusion.
low correlational Full text semantic_scholar
Developers in the Age of AI: Adoption, Policy, and Diffusion of AI Software Engineering Tools · Mark Looi, J. Quinn · Fetched Mar 15, 2026
High upfront costs and weak supply‑chain integration are the chief bottlenecks to Industry 4.0 adoption in Thailand's auto sector; expert-driven prioritization shows financing and supply‑chain coordination should come before capability-building to unlock the biggest gains.
low descriptive Summary semantic_scholar
Evaluating Critical Barriers to Industry 4.0 Adoption in the Thai Automotive Sector Using an Integrated Fuzzy BWM-PROMETHEE II-DEMATEL Framework · T. Kiatcharoenpol, P. Sirisawat · Fetched Mar 15, 2026
Chinese listed firms with stronger AI capabilities and externally oriented cultures are materially more likely to adopt blockchain, while market competition, government support and regional digital finance also boost adoption; firms adopting blockchain report reduced earnings‑management, suggesting governance gains.
medium correlational Summary semantic_scholar
The effects of AI technology, externally oriented corporate culture and environment on blockchain technology adoption · Chengliu He, Ying Han Fan, Xinru Yue, Grantley Taylor, Yizao Chen · Fetched Mar 15, 2026
UK firms that adopt generative AI report better business performance, largely because AI fuels product innovation rather than just efficiency gains; adoption is concentrated where technological competence and top-management backing exist, and is dampened by regulatory uncertainty.
low correlational Summary semantic_scholar
Generative AI Adoption and Business Performance in the United Kingdom: An Empirical Investigation of the Mediating Roles of Operational Efficiency and Product Innovation · Oyakhire Victor Alaba · Fetched Mar 15, 2026
AI uptake in Slovak firms increased from 2021–24 but stayed below the EU27 average and did not deliver measurable short-term gains in national labour productivity; any benefits will likely hinge on organisational change, skills investment and a longer horizon.
low correlational Summary semantic_scholar
Artificial Intelligence Adoption and Labour Productivity in Slovakia and the EU27: Implications for Sustainable Economic Growth · J. Kádárová, Milan Fiľo, Dominika Sukopová, Monika Dúlová · Fetched Mar 15, 2026
AI uptake among entrepreneurial firms is driven more by outside forces — infrastructure, peer influence and competition — than by internal expectations, and adoption is linked to strategic renewal and stronger triple‑bottom‑line performance; paradoxically, higher initial performance expectations reduced adoption, reflecting implementation frictions.
medium correlational Summary semantic_scholar
Drivers and Sustainable Performance Outcomes of AI Adoption Intention: A Multi-Theoretical Analysis in the Entrepreneurial Ecosystem · Mahdi Ashkani, Léo‐Paul Dana, A. Rashidi, Fatemeh Shafaei, Aidin Salamzadeh · Fetched Mar 15, 2026
AI tools can sharply improve efficiency and create flexible work opportunities for women micro‑entrepreneurs in Jaipur — some studies report up to 40% cuts in manual processing time. However, poor connectivity, limited digital skills and a lack of gender‑responsive policy risk preventing these gains from spreading equitably.
low review_meta Full text semantic_scholar
Role of AI in Enhancing Work Efficiency and Opportunities for Women Employees in Micro Firms in Jaipur: A Systematic Literature Review · Jailata, Prof. (Dr.) Saurabh Kumar · Fetched Mar 15, 2026
AI-controlled irrigation boosted wheat yields by 35% while cutting water use by 36% and diesel consumption by 30% in a Baghdad trial, delivering strong private returns (IRR 30%; NPV $18,121). If replicated on farms, the technology could align farmers' profits with water- and energy-savings, though results come from a single-season research-station experiment.
high rct Summary semantic_scholar
Economic Analysis of AI‐Driven Resource Efficiency in Sustainable Agriculture in Iraq · Shayma A. Al-Rubaye · Fetched Mar 15, 2026