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ChatGPT reshapes gig work unevenly: in some online markets it raises freelancers’ workload and pay, while in others it replaces them. A Cournot-based inflection-point model and DiD evidence across ChatGPT versions show markets can flip from AI-complementarity to AI-substitution as capabilities improve.
medium quasi_experimental semantic_scholar
Artificial Intelligence and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform · Dandan Qiao, Huaxia Rui, Qian Xiong · Fetched Mar 15, 2026
Emotional intelligence, not technical literacy, best predicts worker productivity: well-being and engagement channel the gains, while AI intensity amplifies but cannot replace human-centered capabilities.
low correlational semantic_scholar
Emotional Intelligence as Human Capital: A Behavioral Economic Perspective on Productivity, Well-Being and Sustainable Economic Growth · Gurulakshmi S, Dr Gayathri R · Fetched Mar 15, 2026
AI drives simultaneous automation and augmentation: it raises productivity and creates new, higher-value tasks even as it displaces routine jobs, concentrating income gains among skilled workers and capital owners and widening geographic and sectoral inequalities without targeted policy action.
medium review_meta semantic_scholar
The Future of Work in the Age of AI: Economic Implications, Policy Challenges, and Emerging Debates · A. Lima · Fetched Mar 15, 2026
Simulations indicate AI-driven HR systems could have meaningfully boosted productivity and profitability in historical industrial firms, with the largest gains in labor‑intensive, hierarchical operations; results depend on modeling assumptions and do not replace causal evidence.
low correlational semantic_scholar
Artificial Intelligence and Human Resource Management: A Counterfactual Analysis of Productivity · Geoffrey Ditta · Fetched Mar 15, 2026
Policy uncertainty dulls markets’ attention to productivity in the AI sector: when economic-policy uncertainty is high, stock valuations of AI and robotics firms respond far less to labor productivity growth, risking mispricing and impaired capital allocation.
medium correlational semantic_scholar
Policy Uncertainty and the Pricing of Productivity · Arsene Oka · Fetched Mar 15, 2026
AI acts largely as skill‑biased technological change: it boosts productivity by complementing high‑skill, non‑routine work while displacing routine tasks, generating short‑run job and wage disruptions that risk widening inequality unless offset by education, reskilling and active labor‑market policies.
medium review_meta semantic_scholar
Analysis of Economics and the Labor Market: With Implications to Artificial Intelligence · Landry Draper · Fetched Mar 15, 2026
Listed agricultural firms in China that adopt AI register sizable productivity gains driven by labor reallocation and cross‑firm resource sharing rather than immediate boosts to university–industry R&D; benefits are concentrated among growing firms and in regions exposed to greater natural risk.
medium quasi_experimental semantic_scholar
Artificial intelligence and the sustainable development of agricultural enterprises: a total factor productivity perspective · Qijia Zhang, Qin Wang, Yutao Liang, Ke Zhang, Hao Hu · Fetched Mar 15, 2026
AI adoption lifts productivity and innovation in listed Chinese design firms, especially where firms have strong digital infrastructure and state or high‑tech backing; gains appear to come from automating routine project tasks and freeing designers for higher‑value work.
medium correlational semantic_scholar
AI-driven design management: enhancing organizational productivity and innovation in design-oriented companies · Ting Zhang, H. Lou, Yuwei Liu, Guoying Lu · Fetched Mar 15, 2026
Robotic greenhouses in Northwest Indiana create bigger local economic ripples than conventional farms, generating larger multipliers for output, jobs and labor income; however, the gains are model-based and hinge on fixed I–O assumptions. Automation raises productivity and shifts employment toward technical maintenance roles, implying public investment in workforce training and local-supply incentives to capture regional benefits.
low descriptive semantic_scholar
ECONOMIC IMPACTS OF ROBOTICS TECHNOLOGY IN REMOTE GREENHOUSE FARMING: EVIDENCE FROM NORTHWEST INDIANA · A. Mitra · Fetched Mar 15, 2026
Fragmented AI policy risks deepening inequality and social fracture unless governments act together; the DARE framework—Digital readiness, Administrative governance, Resilience & ethics, and Economic equity—maps national gaps across five countries and prescribes integrated policy packages to align AI-driven productivity with broadly shared public benefits.
low descriptive semantic_scholar
The DARE framework: a global model for responsible artificial intelligence (AI) deployment · J. Izabayo · Fetched Mar 15, 2026
AI, big data and blockchain are recasting economies around intangible capital and data, boosting productivity and new markets while concentrating risks; China’s state-led push shows how policy can speed ecosystem formation but also intensify governance and equity trade-offs.
medium review_meta semantic_scholar
ECONOMIC DEVELOPMENT IN THE CONTEXT OF DIGITALIZATION – CASE STUDY: DIGITAL ECONOMY FRAMEWORK IN CHINA · Cristina State, Iolanda-Petronela Grosu, Xiaoliang Zhang · Fetched Mar 15, 2026
AI tools are reshaping IT job definitions: employees who actively use AI report stronger competency and performance, forcing firms to rewrite skill taxonomies and training programs to retain productivity and innovation.
low correlational semantic_scholar
Economic Implications of Adopting Artificial Intelligence for Competency Mapping in the it Sector · J. J · Fetched Mar 15, 2026
Generative AI is on track to become an entertainment-first industry, driven by commercial incentives and youth adoption, yet economic evaluation and policy frameworks are unprepared to measure its cultural and welfare effects. The authors propose a 'thick entertainment' lens to treat AI-generated entertainment as socially consequential and call for new metrics, empirical studies, and regulatory attention beyond harm mitigation.
low theoretical semantic_scholar
AI as Entertainment · Cody Kommers, Ari Holtzman · Fetched Mar 15, 2026
Higher counts of granted AI patents are associated with slower GDP growth across countries in these panel models, while investment, government spending and population remain positive growth predictors; the authors argue AI’s productivity gains may be delayed by skills, infrastructure and diffusion constraints.
low correlational semantic_scholar
The Role of Artificial Intelligence in Economic Growth: System GMM Evidence from 42 Countries · Sheeba Zafar, Safia Begum, Sara Shahid, Sidra Shahzadi · Fetched Mar 15, 2026
A Raspberry Pi AI weeder removed 98% of detected weeds in field trials and produced positive hourly profits for small/medium farms (≈₹68.5/hr). However, only about 60% field coverage and limited Wi‑Fi range threaten scalability and wider adoption.
low descriptive semantic_scholar
AI-Enabled Wi-Fi Operated Robotic Weeder for Precision Weed Management · Shreya Y, S. Satish, Nayana Vallabha, K. L, Sathish Kumar B N · Fetched Mar 15, 2026
Women in the UK lag men in generative-AI adoption largely because they worry more about societal risks—not because of access or skills; boosting optimism about AI could raise young women's GenAI use from about 13% to 33%, markedly narrowing the gender gap.
medium correlational semantic_scholar
Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI · Fabian Stephany, Jedrzej Duszynski · Fetched Mar 15, 2026
Large language models can serve as cheap, large-scale instruments for measuring cultural norms, beliefs and narratives—by probing pretrained weights economists can approximate aggregate discourse—yet alignment, fine-tuning and sampling choices can distort those signals, so researchers should prefer base or minimally adapted models, validate against surveys, and publish provenance and prompts.
n/a descriptive semantic_scholar
The Third Ambition: Artificial Intelligence and the Science of Human Behavior · W. R. Neuman, Chad Coleman · Fetched Mar 15, 2026
In aging, high-debt Japan, rapid budget levers win: productivity gains and per-person cost control deliver the fastest fiscal stabilization, whereas raising fertility increases medium-term pressure; a moderate combo of productivity and cost cuts nearly closes the deficit by 2050.
medium theoretical semantic_scholar
Fiscal Dynamics in Japan under Demographic Pressure · Goshi Aoki · Fetched Mar 15, 2026
AI sharply improves operational performance in Indonesia’s downstream petroleum industry—boosting uptime and reducing waste—but those efficiency gains translate into only modest national economic effects because heavy import dependence and expensive, unfinished fuel subsidy reform blunt broader structural impact.
medium correlational semantic_scholar
AI-Based Technological Transformation as a Driver for Development of Oil Refining Market: Case Study of Indonesia · Wiryanta Muljono, Sri Setiyawati, Priyanka Pertiwi Setiawati, Padmanabha Adyaksa... · Fetched Mar 15, 2026
Gen Z who trust AI marketing are much more likely to adopt it and become loyal customers: a survey of 450 respondents finds trust strongly raises adoption intention and produces a total loyalty effect of roughly 0.80 (direct 0.41, indirect ≈0.39).
low correlational openalex
Trust in AI-Driven Marketing and its Impact on Brand Loyalty: The Mediating Role of Adoption Intention among Generation Z Consumers · Norberto M. Secretaria · Mar 15, 2026
Human–AI co‑creation that treats segmentation, targeting and positioning as a self‑organizing system markedly improves firms' adaptability: it was 44% more resilient to shocks, cut planning cycle times by about 90% and raised detection of major market shifts nearly sixfold. These results come from a Fortune 500 lab ethnography, 150 million customer interactions and calibrated agent‑based simulations, but hinge on single‑firm data and simulation assumptions.
medium correlational openalex
The Algorithmic Canvas: On the Autopoietic Redefinition of STP in the Age of Strategic Resilience · Simon Suwanzy Dzreke, Semefa Elikplim Dzreke · Mar 15, 2026
Passive, copy-based use of AI erodes workers' confidence, ownership and sense of meaningful work — and some harms persist after returning to manual tasks; by contrast, active, draft-first collaboration with AI preserves worker agency and avoids these psychological costs.
medium rct openalex
Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects · Elena Hayoung Lee, Yidan Yin, Nan Jia, Cheryl Wakslak · Mar 15, 2026
A new theory argues firms gain AI-driven advantage through a recursive human–machine 'cognitive flywheel', formalized with coupled non-linear dynamics; it recommends fractal governance to reduce automation bias but offers no empirical validation.
n/a theoretical openalex
Governing Human–AI Co-Evolution: Intelligentization Capability and Dynamic Cognitive Advantage · Tianchi Lu · Mar 15, 2026
AI advances in bursts rather than on a smooth curve, and bigger models are not always better for institutions: beyond an environment‑specific optimum, scaling raises trust, cost and compliance liabilities that outweigh marginal capability gains, favoring orchestrated smaller systems over frontier generalists.
medium theoretical openalex
Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI · Mark G. Baciak, Thomas A. Cellucci, Deanna M. Falkowski · Mar 15, 2026
An autonomous agentic AI produces strong backtest returns — a reported 3.11 Sharpe and 59.5% annualized return from interpretable long–short signals on U.S. equities — but findings rest on historical backtests and may not survive trading frictions, capacity limits or changing market regimes.
low descriptive openalex
Beyond Prompting: An Autonomous Framework for Systematic Factor Investing via Agentic AI · Allen Yikuan Huang, Zheqi Fan · Mar 15, 2026