Papers (1134)

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Industries with greater AI intensity charge lower prices, and the fall in prices is partly driven by reduced labor and materials costs; however, the result is correlational rather than strictly causal.

medium correlational semantic_scholar

Early Evidence on the Relationship Between AI, Costs, and Prices BEA’s Industry Economic Accounts · Tina Highfill, Jon Samuels · Fetched Apr 11, 2026

Strong governance, privacy-by-design and automated compliance are central to financially sustainable AI in healthcare; without them, regulatory friction and trust deficits threaten long-term adoption and value realization.

n/a review_meta semantic_scholar

Conceptual framework for AI governance, data privacy compliance, and financial sustainability in digital health · Ngozi Vivian Ekechi, David Excel Ozowara, Chukwudera Obumneke Anunagba · Fetched Apr 11, 2026

Governments should govern frontier AI through adaptive, scenario-aware institutions rather than fixed compliance regimes; effective oversight requires capability monitoring, conditional controls, and institutional redesign to remain robust across divergent technological futures.

n/a commentary semantic_scholar

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 · F. C. Xavier · Fetched Apr 11, 2026

In Pakistan's ICT sector, internal readiness — not outside pressure — drives AI uptake; firms with compatible infrastructure and stronger technical capability are far more likely to adopt AI, while regulatory or market pressures show little effect.

low correlational semantic_scholar

Drivers of AI Adoption: The Role of Innovation Attributes, Organizational Capability, and the External Environment · Maria Hashmi, Naelati Tubastuvi · Fetched Apr 11, 2026

Markets where firms hold algorithmic advantages see fewer new entrants and rising concentration; concentrated data and cumulative learning deepen incumbents' edge, while interoperability and data access can restore contestability and inform competition policy reform.

medium correlational semantic_scholar

Algorithmic Advantage and Barriers to Entry in AI-Driven Markets · S. Chandra Sekhar · Fetched Apr 11, 2026

AI could shrink average household incomes in Ireland and widen inequality: under a central scenario about 7% of jobs are displaced in the short–medium term, with productivity gains and higher returns to capital accruing mainly to top earners while middle- and higher-income households suffer the largest average income losses; the tax-benefit system cushions poorer households but public finances face strain if job losses are large.

medium descriptive semantic_scholar

Artificial Intelligence and income inequality in Ireland · Karina Doorley, S. O’Connor, Richard O'Shea, Dora Tuda · Fetched Apr 11, 2026

Clear, high-quality data builds trust in AI decision-support systems, and that trust helps drive organizations' intentions to adopt them; those intentions correlate with higher self-reported decision-making efficiency.

low correlational semantic_scholar

Decision-Making in Complex Systems Using AI-Based Decision Support: The Role of Trust, Transparency, and Data Quality · G. Bondac, S. Stanescu, C. Ionescu, Anisoara Duica, Marilena Carmen Uzlău · Fetched Apr 11, 2026

Explainable AI helps teachers perform better in the moment under concurrent assistance but erodes longer-term trust; an RCT of 120 pre-service teachers finds explanations boost immediate execution only in concurrent setups and do not transfer to independent tasks, while paradoxically suppressing accumulated trust.

medium rct semantic_scholar

How AI-Assisted Decision-Making Paradigms and Explainability Shape Human-AI Collaboration · Yingying Wang, Qin Ni, Tingjiang Wei, Haoxin Xu, Lu Liu, Liang He · Fetched Apr 11, 2026

AI is being adopted across Latin America to boost prediction and automate business decisions, delivering efficiency and cost gains where data, training and governance are in place; however, most evidence is descriptive, geographically concentrated and highlights persistent challenges around data quality, transparency and resistance to change.

medium review_meta semantic_scholar

Artificial Intelligence for Business Decision-Making in Latin America: A Systematic Review of Evidence, Contributing Countries, and Key Insights · Luz Maribel Vásquez-Vásquez, Elena Jesús Alvarado-Cáceres, V. H. Fernández-Bedoy... · Fetched Apr 11, 2026

Rewiring the org chart beats culture programs: decentralizing authority and flattening hierarchies reliably speeds decisions and boosts adaptive behavior across manufacturing, platforms and healthcare; culture change and pay tweaks rarely achieve the same systemic effects.

medium review_meta semantic_scholar

People Don't Follow Strategy—They Follow Structure: Why Organizational Design Drives Adaptation More Than Culture or Incentives · Jonathan H. Westover · Fetched Apr 11, 2026

AI knowledge both concentrates and disperses: moderate local stickiness channels AI activity into narrower sub-technology branches, but beyond a threshold stickiness promotes dispersion; complexity reshapes the curve, and the inverted-U is clearest in eastern and smaller Chinese cities.

medium correlational openalex

Knowledge stickiness and technological concentration in the AI industry: an empirical study of Chinese cities · Li Zhang, Quanjun Zhang, Houyuan Meng · Apr 11, 2026

Large language models tend toward a stronger baseline ‘algorithmic monoculture’ than humans but still adjust strategically to incentives; they coordinate exceptionally well on similar actions yet lag humans in maintaining necessary diversity when divergence is rewarded.

medium rct arxiv

Strategic Algorithmic Monoculture:Experimental Evidence from Coordination Games · Gonzalo Ballestero, Hadi Hosseini, Samarth Khanna, Ran I. Shorrer · Apr 10, 2026

AI chatbots can significantly spur real-world actions—raising petition signing by about 20 percentage points and increasing donations—yet shifts in attitudes do not correlate with who acts, warning that attitude-based studies may misstate AI's behavioural impact.

high rct arxiv

Artificial intelligence can persuade people to take political actions · Kobi Hackenburg, Luke Hewitt, Caroline Wagner, Ben M. Tappin, Christopher Summer... · Apr 10, 2026

The United States and Israel lead a new Geoeconomic Complexity ranking built from venture-capital specializations, with Cloud Computing, Cybersecurity and Medtech concentrated among a small set of high‑ranked countries. Using RCA-style metrics and eigenvector methods, the paper also simulates each country's most feasible single-technology move to boost sovereign positioning.

medium descriptive arxiv

The Geoeconomics of Venture Capital An Economic Complexity Approach to Emerging Technological Sovereignty · Benjamin Leroy, Davi Marim, El Ghali Benjelloun, Arthur Rozan Debeaurain, Jean-M... · Apr 10, 2026

Non-tech Chinese firms that digitalize tend to push decision-making down to subsidiaries, especially when diversified or facing uncertainty; this decentralisation is associated with measurable productivity gains.

medium correlational semantic_scholar

Does Organizational Power Allocation Respond to Technological Shift in the Digital Age? Empirical Evidence From Chinese Listed Firms · Danyang Chen, Lili Jiu, Yuanyuan Liu · Fetched Apr 10, 2026

AI-driven change in India is widening labour-market divides: high-skill, high-wage roles are growing while routine middle-skill jobs shrink, and weak reskilling efforts risk leaving many workers stuck in low-skill employment.

low descriptive semantic_scholar

Artificial Intelligence and labour market polarisation in India: Strategies for workforce reskilling · Gunjan Maan · Fetched Apr 10, 2026

China’s green data-center pilot raised city inclusive green growth by around 0.9 percentage points a year, largely by mobilising government and public environmental action; gains concentrate in digital clusters and weaken with distance.

medium quasi_experimental openalex

How does green digital economy policy enable inclusive green growth in cities? — from the perspective of government and public environmental participation · Xiangyi Li, Nanxing Xie, Mingguo Xia · Apr 10, 2026

Firms with higher AI adoption and clearer rules report better compliance and stronger trade outcomes, according to a 350‑firm survey; harmonized cross‑border data governance shows the largest link to improved trade efficiency and market expansion.

low correlational openalex

Artificial Intelligence and International Business Law: Transforming Global Trade, Governance, and Compliance · Samirul Islam · Apr 10, 2026

A new nonparametric method lets randomized trials recover comparable treatment effects on latent outcomes by estimating 'bridge functions' that link imperfect indicators to a common scale. The approach also delivers debiased estimators robust to weak identification and provides practical guidance on measurement design to support identification and efficiency.

n/a theoretical arxiv

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes · Jiawei Fu, Donald P. Green · Apr 09, 2026

Forcing workers to use generative AI together reduced both document output and average quality, while a short training that framed AI as a thought partner improved quality among the best performers; but session timing imbalances, dropout and automated grading quirks mean the results should be interpreted cautiously.

medium rct arxiv

Scaffolding Human-AI Collaboration: A Field Experiment on Behavioral Protocols and Cognitive Reframing · Alex Farach, Alexia Cambon, Lev Tankelevitch, Connie Hsueh, Rebecca Janssen · Apr 09, 2026

medium descriptive arxiv

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest · Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, Thomas L. Griffiths · Apr 09, 2026

AI agents struggle to automate everyday online tasks: in a 153-task live-website benchmark, leading models complete only a minority of tasks (best at about one-third), highlighting major gaps before agents can reliably replace routine web-based work.

medium descriptive arxiv

ClawBench: Can AI Agents Complete Everyday Online Tasks? · Yuxuan Zhang, Yubo Wang, Yipeng Zhu, Penghui Du, Junwen Miao, Xuan Lu, Wendong X... · Apr 09, 2026

Feedback interdependencies in recommendation systems can be made both stable and fair: under a multi-agent bandit model the induced cooperative game has a non-empty core and is convex for identical creators so the Shapley value lies in the core; for heterogeneous creators a simple regret-based payout rule guarantees core membership and satisfies most Shapley axioms.

n/a theoretical arxiv

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits · Ramakrishnan Krishnamurthy, Arpit Agarwal, Lakshminarayanan Subramanian, Maximil... · Apr 09, 2026

China’s domestic rules may make it easier to gather data and secure IP for AI development, but U.S. export controls and outbound investment limits give Washington the upper hand in denying critical hardware and models—shaping an exclusionary global AI race.

low descriptive arxiv

Navigating Turbulence: The Challenge of Inclusive Innovation in the U.S.-China AI Race · Jyh-An Lee, Jingwen Liu · Apr 09, 2026

A new 300-item benchmark shows state-of-the-art LLMs fall far short at automating learned procedures: top models score about 65% versus human baselines, excelling at priming but failing inhibition and conditioned avoidance. The results suggest implicit memory deficits are structural and unlikely to be fixed by scale alone, with implications for dependable assistant behavior and productivity.

n/a descriptive arxiv

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models · Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong · Apr 09, 2026

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