The Commonplace
Home Papers Evidence Explore Trends Syntheses Digests About 🎲 Workforce Futures

Papers (1699)

Filter: Sort:
An AI assistant that combines OCR with LLMs slashed petroleum engineering design time by about 75% and eliminated over 95% of clerical errors in a >1,000-well deployment, enabling large operators to standardize designs and mine decades of legacy ‘dark’ data — though the evaluation lacks independent controls.
low descriptive Summary semantic_scholar
Transforming Engineering Workflows: A Data-Driven Generative AI Solution for Multidisciplinary Design Generation and Optimization · Shunnan Zhao, Jing Chen, Yufeng Liu, Bo Zhou, Yuhong Lin, Fan Jiang, Jun Zhu, Yu... · Jun 16, 2026
Manufacturers with stronger AI capabilities report faster, leaner supply chains; tight customer ties amplify responsiveness gains while close supplier integration converts AI into efficiency.
low correlational Summary semantic_scholar
Aligning customer and supplier integration for AI-enabled supply chain responsiveness and efficiency · Deyu Zhong, Ki-hyun Um, Lixia Jia · Jun 16, 2026
AI’s climate impact is non‑linear: initial adoption can raise corporate emissions, but deeper AI use cuts emissions after a threshold, largely by improving green innovation, energy efficiency and industrial upgrading; the emission‑reducing effects are strongest in China’s eastern provinces.
medium correlational Full text openalex
A study on the nonlinear impact and mechanism of artificial intelligence application level on corporate carbon emission intensity · Shunqing Yuan, Lianfang Zhang, Wei Liu, Bin Yang · Jun 16, 2026
Augmentation AI is creating new, higher-paid work and drawing students into exposed fields, while automation AI lowers wages and worsens outcomes for low-skilled workers; employers are increasingly hiring AI, data and prediction skills, and returnees from cross-border work suffer a short-lived employment penalty and higher unemployment claims.
medium quasi_experimental Full text openalex
Artificial Intelligence, Skills, and Labor Mobility: Understanding the Transformation of Work · David Marguerit · Jun 16, 2026
The current AI boom is not a replay of the dot‑com crash: stronger revenue models and institutional investors underpin growth, but scaling is threatened more by energy and grid constraints than by lack of demand.
medium review_meta Full text openalex
THE AI INVESTMENT CYCLE: STRUCTURAL ANALOGIES WITH THE DOT-COM BUBBLE AND EVIDENCE FOR A MATURE TECHNOLOGICAL EXPANSION · Andriny Dias Mascarenhas · Jun 16, 2026
Fine-grained task decomposition for LLM trading agents materially improves risk-adjusted returns in historical Japanese equity backtests; better semantic alignment between analysis steps and decision layers appears to be the mechanism.
medium quasi_experimental Full text openalex
Toward Expert Investment Teams: A Multi-Agent LLM System with Fine-Grained Trading Tasks · Kunihiro Miyazaki, Takanobu Kawahara, Stephen Roberts, Stefan Zohren · Jun 16, 2026
Firms using agentic AI see gains in circular procurement only when organizational groundwork exists: structured resource scanning, integrated procurement systems and active supplier collaboration unlock AI’s benefits.
low correlational Summary openalex
Agentic AI and Circular Procurement Performance: An Empirical Study · Surajit Bag, Susmi Routray, Andrea Chiarini, Rasem Qudaih · Jun 16, 2026
LabOSBench offers a low-cost, browser-based simulation benchmark for scientific-instrument control across 96 subtasks; existing multimodal GUI agents handle structured actions but fail to reliably perform feedback-driven tuning and extended workflows, revealing gaps before real-world lab automation.
n/a descriptive Full text arxiv
LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control · Anqi Zou, Han Deng, Chengyu Zhang, Junquan Hu, Yu Wang, Yuxiang Xing, Aokai Zhan... · Jun 15, 2026
A low-cost benchmark shows no detectable race/gender disparity in Claude Haiku 4.5’s agent actions in a pilot across hiring, lending and triage, and introduces a sensitive, reproducible toolkit (AgentFairBench) for uncovering action-level bias when present.
medium quasi_experimental Full text arxiv
AgentFairBench: Do LLM Agents Discriminate When They Act? · Triveni Morla, Rohith Reddy Bellibaltu, Manpreet Singh, Manmeet Singh Kapoor · Jun 15, 2026
An AI-enabled placement tool cut search time and tightened adherence to housing-placement rules in a London-borough pilot, raising officer satisfaction while keeping legal accountability intact; the modular cloud design promises replication across councils but evidence is limited to a single-site trial.
medium quasi_experimental Full text arxiv
Optimising Temporary Accommodation Placement Across London with AI-Powered SaaS in E-Governance Systems · Hankun He, Jordan Richards, Gopalakrishnan Netuveli, Kumar Aniket, Ramya Pachatc... · Jun 15, 2026
Agentic AI is most valuable as a supervised productivity tool for SMEs, not as a full replacement for workers; targeted, partially autonomous workflows—backed by integration, governance and employee enablement—are the likeliest source of near-term gains.
n/a commentary Full text arxiv
The Integrator Advantage: Controlled Agentic AI for Small and Medium-Sized Companies · Christopner Koch, Joshua A. Wellbrock · Jun 15, 2026
A 90-day simulated coffee economy shows modern LLM agents can run a firm profitably in a controlled multi‑agent market, with active communication linked to higher earnings; however, some models repeatedly choose inaction despite plausible plans.
low descriptive Full text arxiv
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies · Issa Sugiura, Daichi Hattori, Kazuo Araragi, Keita Ogawa, Shota Onose, Taro Maki... · Jun 15, 2026
Frontier conversational AI out-persuades expert humans and raises far more money: in large preregistered trials, AI beat world-class debaters and incentivized persuaders and produced nearly three times the real donations of professional canvassers; the edge appears driven mainly by AI's ability to deploy larger quantities of information rapidly.
high rct Full text arxiv
AI systems out-persuade expert humans · Kobi Hackenburg, Caroline Wagner, Luke Hewitt, Ben M. Tappin, Ed Saunders, Hanna... · Jun 15, 2026
Linking agents' tool-use traces to monetary exposure makes autonomous AI economically insurable: a trace-economic underwriting system cuts pricing error from $17.7K to $569 in a testbed and lowers CVaR95 by 72% on 1,000 real software-engineering traces.
medium quasi_experimental Full text arxiv
When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic Underwriting · Binyan Xu, Xilin Dai, Fan Yang, Kehuan Zhang · Jun 15, 2026
AI assistants favor highly rated and higher-priced hotels and even a search list position — a content-free artifact — meaningfully shifts recommendations worth roughly $12 per night; eco-labels get outsized weight while manager replies are largely disregarded.
high rct Full text arxiv
Whose hotel does the AI recommend? An algorithm audit of reputation signals in LLM-assisted hotel selection · Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Asher Ali · Jun 15, 2026
A layered insurance contract can make actuarial runtimes robust to strategic operators: by closing two attack surfaces with minimal-authority and no-splitting and fixing the rest via aggregation, escalation fees and a model-identity menu, the authors prove incentive compatibility and satisfy individual rationality and weak budget balance in equilibrium.
n/a theoretical Full text arxiv
Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design · Hao-Hsuan Chen · Jun 15, 2026
Generative AI can speed development and reduce defects when embedded in enterprise quality systems, but benefits hinge on governance, human oversight and explainability; evidence is illustrative rather than rigorously validated.
low descriptive Full text semantic_scholar
Prompt-Driven Integration Workflow Generation: A Technical Analysis · R. Vasa · Fetched Jun 15, 2026
S&P 500 firms that publicly pursue more and broader AI initiatives enjoy higher market valuations and improved operational efficiency; board power and involvement alter these benefits—concentrated power boosts valuation gains but can erode operational efficiency, while active boards amplify returns to diversified AI strategies.
low correlational Full text openalex
Competing With Artificial Intelligence: Board Governance And Competitive Ai Actions · Yuanyuan Chen, Danish H. Saifee, Annie Tian · Jun 15, 2026
Many corporate AI initiatives that work technically become 'zombie' investments that never deliver business value. Escaping this trap requires shifting from centralized experiments to high-impact use cases, decentralized governance, and explicit attention to user adoption and organizational alignment.
low descriptive Summary openalex
Zombie Ai Investments: From Technical Success To Business Failure · Dieu Hang Piekut, Renata Gabryelczyk · Jun 15, 2026
In BRICS economies, greater AI adoption is linked to measurable poverty reduction: a 1% rise in AI use corresponds to roughly 0.14% lower poverty in the short run and 0.39% in the long run. Gains are larger over time and depend on human development, clean‑energy access and sound governance, while rising inequality offsets benefits.
medium correlational Full text openalex
AI for poverty reduction (SDG 1): driving inclusive economic growth in BRICS countries · Vikas Garg, Ernesto D.R. Santibañez González, Pooja Kaushik, Arun Kumar · Jun 15, 2026
Embodied AI raises productivity but deepens power imbalances: algorithms displace worker decision-making and extract uncompensated behavioral data, reinforcing monopoly capital and unequal access to technological dividends; coordinated institutional, organizational, and individual rights reforms are needed to rebalance human–machine production relations.
n/a theoretical Full text openalex
Challenges and Reconstruction of Human-Machine Collaboration in the Era of Embodied Intelligence · Yutang Guan · Jun 15, 2026
China’s AI Pilot Zones accelerate green innovation in manufacturing by easing firms’ financing constraints. The policy’s effect is amplified via fintech development and is largest for non-state, large, and eastern-region listed firms with higher digital transformation and human capital.
medium quasi_experimental Summary openalex
How Does Artificial Intelligence Policy Boost Green Innovation in Manufacturing?—A Quasi-Natural Experiment Based on the AI Pilot Zones Policy · Fengyi Li, Tingting Zheng, Hongmei Li · Jun 15, 2026
China's national supercomputing centers nudge firms away from financial speculation and back into the real economy: treated firms cut financial asset holdings by roughly 1.1 percentage points and raise fixed investment, R&D and capex intensity, with strongest effects in computing‑intensive industries and spillovers to neighbouring cities.
medium quasi_experimental Full text openalex
Computing power infrastructure and corporate financialization: evidence from China’s supercomputing centers · Jianxiang Zhang, Maoguang Wang, Xinzi Xia · Jun 15, 2026
Digital adoption lifts agricultural exports from developing countries: firms that digitize see export values jump about 24% and are far more likely to secure required certifications, with the biggest gains accruing to SMEs and exporters of high‑risk products.
medium quasi_experimental Full text openalex
Digital pathways to high-quality and sustainable agricultural exports: evidence from the EU market · Xiaofei Chu, Yanlei Hou · Jun 15, 2026
Innovation and productivity — not AI adoption — predict export success among Vietnam's manufacturing SMEs; technology purchases alone do not translate into stronger export performance.
medium correlational Full text openalex
Internal capabilities, digital transformation, and SME export performance: Evidence from Vietnam’s manufacturing industries · Dinh Thi Mung, Tran Quang Minh · Jun 15, 2026