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A comprehensive survey of 1,250 arXiv papers finds most AI 'self‑improvement' work is bounded and verifiable, while genuine recursive self‑improvement remains constrained by grounding, collapse dynamics and compute; crucially, stronger claims of self‑improvement correlate with stronger external evaluators, exposing a shortage of governance‑grade measurement.
medium review_meta Full text arxiv
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops · Mingguang Chen, Licheng Wang, Bo Qu · Jul 08, 2026
ChatGPT reroutes web attention inside the AI intermediary: it produces outbound clicks in just 5.2% of sessions versus much higher Google referral rates, and broader ChatGPT access cut traditional search traffic by roughly 9.4%, hitting ad-supported informational sites hardest.
medium quasi_experimental Full text arxiv
Answering Without Referring: How AI Search Rewrites the Web's Economic Bargain · Qiaoni Shi, Kai Zhu, Kai Gu · Jul 08, 2026
In a controlled lab creativity test, GPT-4 partners yielded as much originality as human partners, while individual motivation and cognitive outsourcing determined who benefited from collaboration. The authors release a two-player AUT platform and dataset to standardize controlled studies of human–AI co-creation.
medium quasi_experimental Full text arxiv
Two-player Alternate Uses Test: A Controlled Testbed for Interactive Human-AI and Human-Human Co-Creation · Babak Hemmatian, Anita Keshmirian, Yijun Lin, Shravan Ramamoorthy, Maryam Jahada... · Jul 08, 2026
Automatically generated LLM ‘skill’ files do not boost data‑science task performance: a large, multi‑model experiment finds no significant improvement from full or ablated generated skills versus task-only prompts.
medium quasi_experimental Full text arxiv
Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows · Wei-Jung Huang · Jul 08, 2026
An orchestration harness — not the model — slashes AI task costs: swapping a conventional production loop for the Writer Agent Harness cut blended cost per task by 41%, tokens by 38% and median latency by 44% across six major models, with task quality roughly unchanged. The harness’s efficiency gains were model-invariant for cost and concentrated as ‘harness leverage’ on stronger models for quality, implying orchestration can multiply returns across an organization’s model menu.
medium quasi_experimental Full text arxiv
The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI · Muayad Sayed Ali, Aliaksandra Novik, Anji Boddupally, Artem Yavorskyi, Chris Nic... · Jul 08, 2026
AI-driven productivity gains in Vietnam’s heavy industry lift GDP by roughly 1–2% through 2035, while rapid IT hardware investment strains electricity capacity and temporarily reduces household consumption; together the twin transition is macro-feasible but shifts output away from textiles and leather into heavy manufacturing and IT, imposing uneven adjustment costs on the manufacturing workforce.
low theoretical Summary openalex
AI-Driven Energy Efficiency versus AI-Induced Energy Demand: A Dynamic Computable General Equilibrium (CGE) Analysis of Vietnam’s Twin Transition · Anh Bui-Tuyet, Nhat Duy Lai, Quyen Hua-Thi-Ngoc · Jul 08, 2026
Cities with more AI invention achieve higher green productivity, especially where green computing infrastructure and low-carbon governance are strong; the positive link holds across robustness tests and a Bartik IV specification.
medium quasi_experimental Summary openalex
Artificial Intelligence and Urban Green Productivity in China: The Role of Green Computing Capacity and Transmission Channels · Xiaoxiao Tian, Wei Guo, Jingyu Liao · Jul 08, 2026
General-purpose LLMs can help scale reproducibility checks but cannot substitute experts: AI-assisted teams matched human-only teams on reproduction rates, yet humans caught significantly more major errors, and autonomous AI achieved just a 37% success rate.
high rct Full text openalex
AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science · Abel Brodeur, David Valenta, Alexandru Marcoci, Juan P. Aparicio, Derek Mikola, ... · Jul 08, 2026
Digital assets are remapping the factors of production: despite comprising far fewer industries, the digital sector now contributes disproportionately to output and productivity growth, implying data, technology and infrastructure should join Smith’s labor–land–capital triad. Economic power is increasingly concentrated in ownership of these digital assets, and economists must rethink their foundational categories to analyze the information economy effectively.
low theoretical Summary openalex
250 years of Smith’s work: How digital platforms bring us back to the core of economic science · Yaroslav Kuzminov, Ekaterina Kruchinskaia · Jul 08, 2026
Sky-high AI spending masks a system in distress: unprecedented capital flows into AI coincide with operating losses and speculative valuations, suggesting AI is functioning as a vehicle of financial expansion rather than the engine of capitalist renewal.
n/a theoretical Full text openalex
Artificial Intelligence and the Limits of Accumulation: Capital, Crisis, and the US Hegemonic Autumn in the World Market · Scott Timcke · Jul 07, 2026
Patent-based estimates suggest AI diffusion has already boosted short-term growth and supports higher living standards over the long run in OECD countries, but there is no clear evidence that gains favor more-educated workers; findings depend on patent proxies and identification assumptions and exclude the recent post-2017 AI surge.
medium quasi_experimental Full text openalex
Economic Growth, AI Adoption and Human Capital Across the OECD: Evidence from a Panel ARDL Model · Joshua Duarte, Carina Freitas, Marta SIMOES · Jul 07, 2026
AI‑powered business intelligence is moving U.S. SMEs from rear‑view reporting to real‑time, predictive operations, promising productivity and resilience gains; however, limited data literacy, unequal access to tools, and gaps in governance tailored to SMEs threaten inclusive benefits.
n/a review_meta Full text openalex
From data to decisions: A narrative review of business intelligence and predictive analytics framework for enhancing SME competitiveness and economic resilience in the United States · Prince Gyane Twum, Matthew Oman-Amoako · Jul 07, 2026
Machine learning substantially improves IRS audit efficiency and revenue forecasting—cutting no-change audit rates by about 15–20 percentage points and forecasting error by up to 30%—but ROI-optimizing classifiers threaten to raise audit pressure on low-income filers unless equity-by-design safeguards, explainability, federated infrastructure, and statutory modernization are enforced.
medium review_meta Full text openalex
From Compliance to Intelligence: Integrating AI and Predictive Analytics into U.S. Tax Compliance and Revenue Systems · Issabella Ampofo, David Amoako, Mary Magdalene Yeboah · Jul 07, 2026
A structured evaluation loop lifts business LLM performance and slashes review costs: applying EvalLoop to sales-brief generation raised the best model from 82.6% to 94.6% after a targeted prompt fix and reduced human review workload by 94%.
low descriptive Full text arxiv
EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems · Kenneth Benavides, Josh Fleischer, Danti Chen · Jul 06, 2026
Listed Chinese firms that adopt generative AI strengthen their supply-chain resilience, mainly via innovation, greater organizational investment and downstream customer optimization; however, benefits are partly undermined by rising supplier concentration that creates a trade-off between flexibility and coordination risk.
medium quasi_experimental Full text semantic_scholar
How Generative Artificial Intelligence Adoption Enhances Firm-Level Supply Chain Resilience: Empirical Evidence from Chinese A-Share Listed Firms · Shi Jun, Yijun Chen, Wenli Hu · Fetched Jul 06, 2026
AI is boosting financial efficiency and inclusion in emerging markets, yet gains are fragile: weak institutions, regulatory gaps and algorithmic and cyber risks could offset benefits unless governance and data‑protection are strengthened.
low descriptive Full text semantic_scholar
Economic and Financial Implications of Artificial Intelligence (AI) Adoption in Emerging Markets: Opportunities, Risks, and Strategic Responses · Aida Mehrad, Mohammad Hossein Tahriri Zangeneh, Mohamed Niroz M. Thawoos, H. Hay... · Fetched Jul 06, 2026
Greater technological capacity and AI adoption are linked to faster growth among the world’s 27 biggest economies by boosting productivity and innovation. Moves toward renewable energy and deeper industrialisation further support expansion, while high unemployment remains a drag.
medium correlational Full text semantic_scholar
AI Readiness, Renewable Energy, and Industrial Development: Structural Approach to Sustainable Growth · Sefa Özbek, Mustafa Naimoğlu, Serkan Şahin, Serhat Çamkaya · Fetched Jul 06, 2026
AI-linked education shifts raise technical skills and boost pay for hybrid competence—but evidence is correlational. Baltic states show high returns from knowledge-intensive AI adoption while Visegrad countries extract lower gains through manufacturing optimization, though findings rely on expert indices and observational links.
low correlational Summary semantic_scholar
AI-Education and Innovation Competitiveness: EU Moderate Innovators · A. Buračas · Fetched Jul 06, 2026
Multinationals that adopt AI for governance and risk report large operational gains — 20% fewer disruptions, 30% better compliance accuracy and decisions 40% faster — while AI risk models outperform traditional approaches (92% vs 75% accuracy); however, results stem from an observational comparison with limited causal identification.
low correlational Summary semantic_scholar
Leveraging AI-Driven Decision-Making to Enhance Corporate Governance and Risk Management in Multinational Firms · Kakhramon Khakberdiev · Fetched Jul 06, 2026
AI will displace tens of millions but create more roles overall — synthesized forecasts point to a net increase of about 78 million jobs by 2030. Firms that emphasize augmentation, reskilling and responsible governance are likeliest to gain durable advantages over automation-only competitors.
low review_meta Summary semantic_scholar
AI-Driven Workforce Transformation: Displacement, Opportunity, and Strategic Implications · Anshu Pokharel, Sabbu Shakya · Fetched Jul 06, 2026
A large bibliometric mapping shows human–AI interaction and collaboration dominate academic attention while conversational AI and ethics are more specialized, and the authors offer a four-type framework—symbiotic, augmented, assisted, substituted—to clarify human–AI relationships and guide future organizational research.
n/a review_meta Summary semantic_scholar
Mapping Human–AI Relationships: Intellectual Structure and Conceptual Insights · N. A. Gómez-Cruz, Dorys Yaneth Rodríguez Castro, Fabiola Rey-Sarmiento, R. Zárat... · Fetched Jul 06, 2026
Korean industries more exposed to AI saw steadily shrinking workweeks after 2022, with the largest reductions by 2025; the pattern is consistent with AI diffusion rather than pre-existing trends.
medium quasi_experimental Summary openalex
Artificial Intelligence Exposure and Working Hours: Evidence From South Korea · Taiwon Ha · Jul 06, 2026
AI adoption alone does not guarantee national productivity gains; small open economies need institutional absorptive capacity—skills, data governance, competition policy and social insurance—to convert AI exposure into shared prosperity.
n/a theoretical Full text openalex
THE AI PRODUCTIVITY TRANSMISSION GAP IN SMALL OPEN ECONOMIES: A DYNAMIC INSTITUTIONAL ABSORPTIVE CAPACITY MODEL · · Jul 06, 2026
Employees who use AI report higher job and innovation performance, largely because AI use raises workers' AI self-efficacy and prompts firms to adopt digital HR practices; the result is based on a 750-person cross-sectional survey from four Chinese cities, so causality is not established.
low correlational Summary openalex
AI Usage and Employee Performance: The Dual Roles of AI Self-Efficacy and AI-Enabled HRM · Yannan Li, Xiaoxiao Geng · Jul 06, 2026
Firms only reap AI returns when they both broaden and deepen deployment: Spanish large firms show higher performance when multiple AI applications are widely diffused across the organisation. Skilled AI staff, digital infrastructure and a data-driven culture determine whether AI delivers business value.
low correlational Summary openalex
Beyond AI Adoption: An Empirical Study on the Antecedents and Performance Outcomes of AI Deployment in Organizations · Laura Ruiz, Ana Castillo, Araceli Rojo Gallego-Burín, Irene Huertas Valdivia · Jul 05, 2026