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AI will not automatically create mass unemployment but will radically reshape jobs: it tends to automate routine and many middle-skill tasks while boosting demand for high-skill complements, producing transitional job losses, wage polarization and uneven effects unless education, trade, and social policies manage the adjustment.
medium review_meta openalex
Artificial Intelligence, Automation, and Employment Dynamics: Evaluating the Balance Between Job Displacement and Job Creation · Uday Palake · Mar 31, 2026
AI will not produce permanent mass unemployment, but it will reorder jobs: routine and middle-skill roles face displacement while high-skill, AI-related occupations and new industries expand, and the net effects depend heavily on policy and institutions.
n/a theoretical openalex
Artificial Intelligence, Automation, and Employment Dynamics: Evaluating the Balance Between Job Displacement and Job Creation · Uday Palake · Mar 31, 2026
Generative AI is reshaping how firms are organised: literature mapping shows GenAI creating an 'algorithmic workplace' where decision-making becomes more decentralized and managers shift from micro-managers to curators and coordinators. The emerging discourse links technical constructs (LLMs, GANs) to managerial concepts—implying potential productivity gains, changing skill demands, and new governance challenges, but stopping short of causal evidence.
n/a review_meta openalex
Generative AI and the algorithmic workplace: a bibliometric and conceptual analysis of its impact on organisational decision-making and work design · Carlos Luengo Vera, Alnoor Bhimani, Jose Gómez Gandia, Antonio de Lucas · Mar 31, 2026
Firms that adopt AI, cloud services, robotics and smart devices are more likely to export, while big data and blockchain show no clear export effect; AI boosts exports broadly except to China, and robotics predicts exports to all destinations examined.
low correlational openalex
How Digitalization Shapes Export Potential: Firm-Level Insights From The EU and Beyond · Özlem Fikirli, Hasan Şahin · Mar 31, 2026
When dominant firms raid rivals’ workforces, competition law should look beyond products to people; large-scale 'predatory hiring' can constitute abuse under EU and US antitrust frameworks and merit enforcement even outside merger control.
n/a commentary openalex
Employee Poaching as An Abuse of Dominance Under Article 102 TFEU · Björn Christian Becker · Mar 31, 2026
Moderate AI adoption appears to expand jobs while extreme automation shrinks them: cross-country and firm-level evidence points to a U-shaped relationship between AI intensity and employment elasticities. Policymakers should prioritize reskilling, education and fair governance to ensure AI changes the nature of work rather than simply replacing workers.
medium review_meta openalex
Impact Of Artificial Intelligence (AI) On Employment · Robin Karan, Rajneesh Kumar, Kartikey Tiwari, Ranjit Singh Saravat, Dr Randeep S... · Mar 31, 2026
A new 'Human-Equivalent Work Unit' metric translates AI output into FTEs and dollars, exposing machine labor hidden from current economic statistics; a factory pilot found 8.4 machine-equivalent FTEs worth about $378,000 a year that do not appear on financial or government reports.
low descriptive openalex
HEWU: A Standardized Framework for Measuring Machine-Generated Labor in Human-Equivalent Economic Terms · TIDIANE DOUCOURE · Mar 31, 2026
China’s extra R&D tax deduction lifted sustainability and productivity in intelligent manufacturing firms by easing financing bottlenecks and spurring innovation; gains were largest for large, non-state, capital‑intensive firms and those facing fast technological obsolescence.
medium quasi_experimental openalex
The impact of R&D innovation strategy on the sustainable development of intelligent manufacturing: evidence from a quasi-natural experiment in China · Mingli Chen, Han Xu, Fa Tian, Li Ji · Mar 31, 2026
Transformative AI could rewrite long-run growth: when AI both boosts productivity and autonomously accumulates capital, self-reinforcing feedbacks can permanently raise growth or destabilize equilibria depending on complementarities and absorptive capacity.
n/a theoretical openalex
Transformative AI and the Evolution of Growth Models: Extending the Solow and Endogenous Growth Frameworks for the Age of Machine Intelligence · Shanu N. Nazar · Mar 31, 2026
Routine-biased technological change reshuffled Indonesian jobs in waves from 2001–2019 and hit women differently: women saw higher displacement but often upgraded into interpersonal, non-routine roles, narrowing the gender pay gap temporarily—only for weakening wage returns to female-dominated jobs to undo much of that progress by 2015–2019.
medium quasi_experimental openalex
Routine-Biased Technological Change and the Gender Wage Gap Among Formal Workers in Indonesia · Wulan Isfah Jamil, Bambang Brodjonegoro, Diah Widyawati · Mar 31, 2026
AI adoption raises CO2 emissions on average, but good institutions and strong digital networks blunt the trade-off; the emissions impact is largest in energy-inefficient and AI-advanced countries.
medium quasi_experimental openalex
Artificial Intelligence: A Blessing or a Curse for Climate Action (SDG 13)? The Moderating Roles of Governance Quality and Digital Infrastructure · Partha Pratim Acharjee, Debasis Neogi · Mar 31, 2026
Harsher algorithmic oversight backfires: stricter surveillance on gig platforms makes coordinated worker resistance more viable, driving perpetual arms-race dynamics and paving the way for informal "algorithmic unions."
n/a theoretical openalex
THE RED QUEEN in the DASHBOARD: CO-EVOLUTIONARY DYNAMICS of ALGORITHMIC CONTROL and WORKER RESISTANCE · Aras Yolusever · Mar 31, 2026
Agentic AI is already lifting productivity in banking and investment but evidence is uneven and governance gaps persist; insurance lags behind and standardized evaluation, regulation, and interdisciplinary research are urgently needed.
n/a review_meta openalex
A Comparative & Systematic Review of Literature on the Impact of Agentic AI on Selected Financial Services: Banking, Insurance & Investment · Krishna Kedia, Dhaval J. Thaker, Dr. Chirag Mehta · Mar 31, 2026
Big Data and AI boost efficiency, risk assessment and inclusion across finance, but their unchecked adoption can amplify systemic risk, cyber‑vulnerability and BigTech dependence; coordinated regulation, strong data governance and investment in specialised human capital are required to secure financial stability.
low review_meta openalex
Implications of Big Data Technologies for the Resilience of Financial Institutions · Serhii Zadvornykh, Dmytro Ihorovych Martjanov · Mar 31, 2026
AI innovation spurs new business formation — but only where finance is strong; across 23 countries from 2002–2023, AI’s entrepreneurial payoff appears significant in financially advanced regimes while muted elsewhere.
medium correlational openalex
Can AI technology innovation promote national entrepreneurship development? Exploring the role of financial development · Michael Appiah, Emmanuel Baffour Gyau, Daniel Adu · Mar 31, 2026
Competing AI firms tend to release frontier models prematurely, creating safety externalities that markets ignore; minimum quality standards can restore the social optimum, whereas forced release delays can perversely worsen outcomes by shifting preemption to earlier announcement choices.
n/a theoretical openalex
Optimal Release Timing of AI Systems: A Strategic Analysis with Safety Externalities · Yijiashun Qi · Mar 31, 2026
Long-horizon patient capital is linked to stronger high-quality growth in China's strategic emerging industries, working through digital–green transformation, better information, and easier financing; the payoff is larger for firms that adopt AI and varies markedly by region and industry.
low correlational openalex
The Impact of Patient Capital on the High-Quality Development of Enterprises in Strategic Emerging Industries · Fangfang Ji, Mu Zhang · Mar 31, 2026
Large language models replicate South Asian caste hierarchies in matchmaking: same-caste profiles score up to 25% higher, and inter-caste pairings are ranked according to traditional status across GPT, Gemini, Llama, Qwen and BharatGPT—raising risks that AI-mediated matchmaking could reinforce historical exclusion.
medium descriptive openalex
Sima AIunty: Caste Audit in LLM-Driven Matchmaking · Atharva Naik, Shounok Kar, Varnika Sharma, Ashwin Rajadesingan, Koustuv Saha · Mar 31, 2026
Agentic AI confronts firms not with isolated obstacles but an interdependent sociotechnical web: most barriers are amplified legacy transformation problems, but a few—error propagation in multi-agent systems, role ambiguity, and accountability diffusion—are novel. The central managerial challenge is governance calibration: enabling valuable autonomy while constraining risks requires joint optimization across social and technical subsystems.
n/a review_meta openalex
BARRIERS TO AGENTIC AI ENTERPRISE TRANSFORMATION · Roman Kuziv · Mar 31, 2026
Scaling laws work because 'compute' abstracts away implementation details — but that abstraction also fuels a persistent efficiency race: as loss improvements flatten, progress depends on continual cost and systems innovation to translate real resources into logical compute.
n/a theoretical arxiv
The Unreasonable Effectiveness of Scaling Laws in AI · Chien-Ping Lu · Mar 30, 2026
The internet needs 'Agentic Citizens' — persistent, identity-bearing AI agents that collaborate across platforms — and the authors propose Synergy, a runtime and architecture to make that vision feasible, though the design remains untested at scale.
n/a theoretical arxiv
Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web · Xiaohang Nie, Zihan Guo, Kezhuo Yang, Zhichong Zheng, Bochen Ge, Shuai Pan, Zeyi... · Mar 30, 2026
Countries speak the same AI ethics language but govern very differently: a comparative analysis of 24 policy texts finds five distinct models of AI governance—from Europe’s rights-first approach to China’s state-centric model—driven by underlying political-economic institutions rather than convergent ethical principles.
low descriptive semantic_scholar
Artificial intelligence governance and social policy divergence: a comparative political economy perspective on global AI regulation · Deepak Kumar, Chinmaya Kumar Sahu · Fetched Mar 30, 2026
Agentic AI could halve investment-management costs and threaten large-scale displacement among financial planners; the authors propose mandatory AI literacy, specialized degree tracks, federal retraining and income support, and regulatory incentives to steer a 5–15 year workforce transition.
low descriptive semantic_scholar
STRENGTHENING FINANCIAL WORKFORCE COMPETITIVENESS: A CURRICULAR FRAMEWORK FOR INTEGRATING AGENTIC AI INTO FINANCIAL PLANNING EDUCATION · Satyadhar Joshi · Fetched Mar 30, 2026
Agentic AI is only beginning to surface in U.S. finance firms' annual reports—0.4% of firms in 2024 and 1.6% in 2025—but those that mention agentic systems tend to surround them with denser governance and safety language, implying deployments are currently concentrated where governance is more mature.
n/a descriptive semantic_scholar
Measuring agentic AI adoption and control frameworks in finance · Atta ul Mustafa, A. Aysan · Fetched Mar 30, 2026
A model warns that consumer demand switching to AI services can widen wage gaps in non-traded sectors, but Indian transport data show no clear post-2007 spike in inequality — uptake of AI ride services stayed below 0.7%, muting measurable effects.
low theoretical semantic_scholar
Artificial Intelligence, Demand Switching and Sectoral Wage Gap · Shreya Roy, Bibek Ray Chaudhuri · Fetched Mar 30, 2026