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A skills-focused simulation suggests AI’s technical reach in the U.S. labor market is far larger and more geographically widespread than visible adoption indicates: current AI capabilities overlap with about 11.7% of U.S. wages (~$1.2tn), compared with roughly 2.2% (~$211bn) reflected in present adoption concentrated in tech hubs.
low descriptive Full text semantic_scholar
The Iceberg Index: Measuring Workforce Exposure in the AI Economy · Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, ... · Fetched Mar 10, 2026
AI reshapes labor in two directions: it automates routine, lower-skilled work while augmenting and expanding higher-skill and hybrid roles, widening skills polarization and regional divides but also creating productivity and entrepreneurship opportunities; policy must combine targeted reskilling, infrastructure investment, and social protections to manage distributional risks.
medium review_meta Summary semantic_scholar
The Impact of AI Machine Learning on Human Labor in the Workplace: A Systematic Review of Emerging Trends, Challenges, and Opportunities · Vusi S. Mncube · Fetched Mar 10, 2026
AI and other new digital skills are appearing in roughly one in ten vacancies in advanced economies and pay a clear wage premium. Yet their spread is linked to sharper labor-market polarization—helping high-skilled workers while hollowing out middle-skilled roles and reducing employment in AI‑exposed occupations with low worker complementarity, with young workers hit especially hard.
medium correlational Summary semantic_scholar
Bridging Skill Gaps for the Future · Florence Jaumotte, Jaden Kim, David Koll, Elmer Li, Longji Li, Giovanni Melina, ... · Fetched Mar 10, 2026
AI's aggregate effect on jobs so far has been modest — no mass unemployment — but its gains are uneven: productivity rises concentrate with skilled workers while routine and low-skill roles face displacement, heightening labor-market polarization and calls for targeted upskilling and policy support.
medium review_meta Full text semantic_scholar
The role of generative artificial intelligence on labor market: literature review · A. Zhanabay, R. K. Yelshibayev, R. Islam · Fetched Mar 10, 2026
AI-driven e-commerce and robotic fulfillment boost seller productivity, expand SME market access and regional activity, and reshape jobs rather than simply eliminate them; realizing these gains depends on competition, data governance and active reskilling policies.
medium quasi_experimental Full text semantic_scholar
Artificial Intelligence–Enabled E-Commerce Systems and Automated Warehousing: Economic Effects from Amazon FBA in the U.S. Market · Malay Sarkar · Fetched Mar 10, 2026
A vertically integrated sectors (VIS) accounting method that allocates upstream embodied labor produces substantially different—and arguably more comprehensive—labor productivity estimates for U.S. industrial and electric power subsystems than standard direct-only measures, with important implications for measuring the economy-wide effects of AI and other technologies.
medium descriptive Full text semantic_scholar
Measuring labor productivity dynamics in U.S. industrial and electric power sectors: a case study (2014–2023) · Nahuel Guaita, Silvio Guaita, Mauricio Tano, Eliezer A. Reyes Molina · Fetched Mar 10, 2026
Non-wage employer costs in Latin America average over half of formal wages and formalizing informal workers is on average 88% more expensive than paying informal wages, raising the effective cost of formal employment; these high and rising costs heighten firms' incentives to substitute labor with capital — including automation and AI — especially where automation is technically feasible.
medium descriptive Summary semantic_scholar
Salaried Labor Costs in Latin America and the Caribbean: A Ten - Year Update · Verónica Alaimo, Álvaro Altamirano Montoya, Auri Melissa Minaya · Fetched Mar 10, 2026
Integrated whole-process service models more than double land-productivity gains compared with piecemeal outsourcing for Chinese grain farms (coefficients: 0.486 vs. 0.214), with the largest benefits in major grain-producing and hilly regions driven by eased labor constraints and scale-offsetting effects.
medium quasi_experimental Summary semantic_scholar
Whole-Process Agricultural Production Chain Management and Land Productivity: Evidence from Rural China · Qilin Liu, Guangcai Xu, Jing Gong, Junhong Chen · Fetched Mar 10, 2026
China's rural digitalization measurably raised agricultural green productivity between 2012 and 2022, with infrastructure-driven gains strengthening after a connectivity threshold while digital services show diminishing marginal returns; benefits concentrate in eastern and non-grain-producing provinces.
medium quasi_experimental Full text semantic_scholar
Digital rural development and agricultural green total factor productivity: evidence from China · Zhiqiang Zhang, Qunzhao Deng, Haijiao Du, Wei Yu, Wanyi Li · Fetched Mar 10, 2026
Security-as-a-Service makes it cheaper and faster for firms to run AI in the cloud, widening access especially for smaller companies. But outsourcing security concentrates risk and market power among major providers and raises liability, privacy and competition issues that could distort incentives for AI investment.
low review_meta Full text openalex
Security- as- a- service: enhancing cloud security through managed security solutions · Zainab S. Attarbashi, Azana Hafizah Mohd Aman, Salem Sati, Nur-Adib Maspo, Aisha... · Fetched Mar 10, 2026
AI in hospitality can hit profits at first before boosting them later: firms face short-run adjustment costs but gain from differentiation and productivity over time, producing a U-shaped adoption–profit curve. Widespread robot acceptance needs favorable initial conditions and incentives, and household tourism demand is nonlinearly affected by women’s economic empowerment, with gender-equal households allocating spending most efficiently.
low theoretical Summary openalex
MODELING HOSPITALITY AND TOURISM STRATEGIES · Di Zhu · Fetched Mar 10, 2026
Africa’s informality, institutional hybridity and resource constraints reshape supply‑chain theory and open up high‑value opportunities for AI economics research; IJOPM’s AfIn initiative aims to build local capacity and publish theory and empirical work leveraging these contexts.
n/a theoretical Full text openalex
Continental shift: operations and supply chain management research from an African perspective · Essuman, D., Essien, A., Roehrich, J., Lam, H.K.S., Schleper, M., Blome, C. · Fetched Mar 10, 2026
Rapid AI adoption risks a demand‑driven financial crisis: if AI replaces paid cognitive work faster than income is redistributed or new paid demand appears, falling labour income and compressed intermediary margins can set off a self‑reinforcing collapse in consumption and credit values.
low theoretical Full text arxiv
Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption · Xupeng Chen · Mar 10, 2026
Generative AI reshapes how architecture students think—prompt-led, iterative ‘algorithmic thinking’ speeds ideation but preserves human evaluative judgment, suggesting task-level complementarity rather than wholesale substitution.
low descriptive Summary openalex
Human–AI Collaboration in Architectural Design Education: Towards a Conceptual Framework · Şerife Hikmet, Nazife Ozay · Mar 10, 2026
A game-theoretic framework quantifies when cyber deception pays: deception raises defender utility versus matched non-deceptive baselines but its value erodes as system observability increases, with closed-form break-even conditions and parameter regimes where simple heuristics nearly match optimum.
n/a theoretical Summary openalex
Evaluating Synthetic Cyber Deception Strategies Under Uncertainty via Game Theory Approach: Linking Information Leakage and Game Outcomes in Cyber Deception · Mohammad Shahin, Mazdak Maghanaki, Fengshan Frank Chen · Mar 10, 2026
Large language models can stand in for human subjects in low-stakes pilots and robustness checks, but their behavioral fidelity is inconsistent and error-prone; researchers should treat synthetic participants as heuristic supplements—not substitutes—and adopt standardized evaluation and ethical safeguards.
medium review_meta Full text openalex
Synthetic Participants Generated by Large Language Models: A Systematic Literature Review · Eduard Kuric, Peter Demcak, Matus Krajcovic · Mar 10, 2026
AI tools are rapidly pushing biomedicine toward faster, cheaper discovery: ensemble and deep‑learning models deliver parsimonious diagnostics, cross‑study cross‑omics prediction, and prognostic signatures that can cut reliance on animal models and shorten R&D timelines. If these models survive larger prospective validation and regulatory review, economic value will concentrate in curated data assets, validated models, and supporting validation/compliance services, reshaping firm incentives, skills demand, and infrastructure investment.
medium review_meta Full text openalex
Editorial: Integrating machine learning and AI in biological research: unraveling complexities and driving advancements · Bindu Nanduri, Inimary Toby-Ogundeji · Mar 10, 2026
AI upskilling helps keep stressed pharmaceutical workers on the job but doesn't immediately boost their performance; firms that deploy AI-guided training report smaller stress-related turnover even though stress still undermines output.
low correlational Full text openalex
AI-driven stress management and performance optimization: A framework for employee retention in the IR 5.0 era · Devaraju, Amit Subramanyam · Mar 10, 2026
Short, introductory AI courses for clinicians improve confidence, attitudes and basic skills but leave clinical workflows and patient outcomes unchanged; most programs are brief, academic, and aimed at students or early‑career clinicians, limiting their likely productivity payoff.
medium review_meta Summary openalex
Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review · Leanna Woods, Kayley Lyons, Anton van der Vegt, Quita Olsen, Wenyao Huang, Johns... · Mar 10, 2026
Perceived consumer value drives value-based pricing, but academic research finds no mature digital model to convert that value into algorithmic prices. Studies document growing AI adoption in pricing yet reveal fragmented evidence, methodological limits and unaddressed ethical and governance risks.
n/a review_meta Summary openalex
Pricing Strategy in Digital Marketing: A Systematic Review of the Value-Based Approach · Octaviani Putri Dita Arumsari, Vidya Damayanti, Rizki Amalia Utami, Titis Shinta... · Mar 10, 2026
Recommender-system methods could make social robots far more consistently personalised and ethically constrained, promising higher user welfare and new monetisation paths; however, the claim is a design proposal that still needs real-world trials to quantify welfare, labor, and market effects.
n/a theoretical Full text openalex
Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications · Jin Huang, Fethiye Irmak Doğan, Hatice Güneş · Mar 10, 2026
AI-driven personalization combined with credible sustainability messaging can boost tourist demand by strengthening digital trust and destination image. The paper offers ten testable propositions and an empirical agenda—SEM, experiments, and platform-data analyses—to quantify how algorithmic design and sustainability narratives reshape visitation and market outcomes.
n/a theoretical Full text openalex
Sustainable Marketing Framework for Strengthening Consumer Trust and Visit Intention in Kebumen Tourism · Heri Nurranto, Usep Suhud, Setyo Ferry Wibowo · Mar 10, 2026
FinTech and alternative finance are widening access to capital for Indian MSMEs and startups by offering faster, more flexible, data‑driven credit, but bring privacy, regulatory and concentration risks that require hybrid bank–FinTech solutions and stronger governance.
medium descriptive Full text openalex
Traditional vs. contemporary financing models for MSMEs and startups: A comparative study · J. Madegowda · Mar 10, 2026
A three‑layer security architecture for virtual reality—combining hardware integrity, privacy‑preserving data practices and socio‑behavioral protections—could become a competitive differentiator that raises entry costs and shifts the value of behavioral data toward privacy‑focused services. Without standards or regulation, platforms face weak incentives to invest, so certification and interoperable rules will determine whether safety is a market advantage or a costly compliance burden.
n/a review_meta Summary openalex
Securing Virtual Reality: Threat Models, Vulnerabilities, and Defense Strategies · Andrija Bernik, Igor Tomičić, Petra Grd · Mar 10, 2026
Student access to AI is undermining traditional standardized tests, turning assessment into a policy problem that mixes education and economics. Nations should pivot to formative and performance‑based evaluations and impose data, training and audit standards to prevent widening inequality and commercial capture of student data.
low descriptive Full text openalex
The Future of Assessment: Rethinking Evaluation in an AI-Assisted Learning Environment · Minghui Gu · Mar 10, 2026