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Evidence (13870 claims)

Adoption
8467 claims
Productivity
7558 claims
Governance
6805 claims
Human-AI Collaboration
6363 claims
Org Design
4132 claims
Innovation
4065 claims
Labor Markets
3526 claims
Skills & Training
2945 claims
Inequality
2066 claims

Evidence Matrix

Claim counts by outcome category and direction of finding.

Outcome Positive Negative Mixed Null Total
Other 749 196 98 892 1984
Governance & Regulation 817 394 188 121 1544
Organizational Efficiency 771 189 124 83 1177
Technology Adoption Rate 627 233 123 96 1088
Research Productivity 411 123 56 332 933
Output Quality 467 178 59 47 751
Decision Quality 320 174 75 42 618
Firm Productivity 435 55 88 20 604
AI Safety & Ethics 214 276 65 33 593
Market Structure 178 167 122 24 496
Task Allocation 207 64 71 32 379
Skill Acquisition 165 59 60 17 301
Innovation Output 203 27 43 18 292
Employment Level 105 52 107 13 279
Fiscal & Macroeconomic 131 69 43 26 276
Consumer Welfare 116 63 42 11 232
Firm Revenue 150 48 26 3 227
Inequality Measures 44 122 49 6 221
Task Completion Time 169 29 8 12 219
Worker Satisfaction 89 63 20 12 184
Error Rate 69 92 10 2 173
Regulatory Compliance 76 68 14 5 163
Training Effectiveness 93 21 13 19 148
Wages & Compensation 77 36 25 6 144
Automation Exposure 51 54 22 12 142
Team Performance 86 17 27 9 140
Developer Productivity 94 17 14 6 132
Job Displacement 12 80 20 1 113
Hiring & Recruitment 51 7 8 3 69
Creative Output 31 17 7 3 59
Skill Obsolescence 5 46 6 1 58
Social Protection 27 16 8 2 53
Labor Share of Income 17 17 17 — 51
Worker Turnover 11 12 — 3 26
Industry — — — 1 1
Nineteen studies met the eligibility criteria and were analyzed using qualitative thematic synthesis.
Reported result of the screening/eligibility process in the review: final included sample = 19 peer-reviewed articles; analysis method stated as qualitative thematic synthesis.
high null result Artificial Intelligence in the Labor Market: Evidence on Wor... number of included studies
We conducted a systematic review guided by PRISMA 2020, searching Scopus and Web of Science (Title/Abstract/Keywords) for English-language journal articles published between 2015 and 2025.
Methods reported in the paper: PRISMA 2020-guided systematic review; databases searched explicitly named (Scopus, Web of Science); query fields (Title/Abstract/Keywords); language and date restrictions stated (English, 2015–2025).
high null result Artificial Intelligence in the Labor Market: Evidence on Wor... N/A (method description)
The study used a mixed-method approach, combining qualitative and quantitative analysis of multiple case studies involving AI applications such as computer vision, robotics, and predictive analytics.
Authors report study design as mixed-method (qualitative + quantitative) applied to multiple case studies examining AI applications (computer vision, robotics, predictive analytics). No numeric sample size reported in the summary.
high null result AI-Driven Construction Project Optimisation Using Predictive... study design / methodology (mixed-method case studies of AI applications)
The paper analyses the complex interactive relationships among job seekers, recruitment platforms, and enterprises on the basis of the classic theory of incomplete information games.
Methodological description in abstract stating the use of incomplete information game theory to model interactions among stakeholders.
high null result Job Search Game Under an Algorithmic Black Box: Generation o... interactive relationships (game-theoretic analysis)
Mainstream recruitment algorithms are taken as the core research object and the multidimensional specific manifestations and internal generation mechanisms of group prejudices in algorithm screening are systematically investigated.
Methodological claim in the paper describing the study's scope and analytic focus (systematic investigation of manifestations and internal mechanisms); no empirical detail provided in abstract.
high null result Job Search Game Under an Algorithmic Black Box: Generation o... manifestations and mechanisms of algorithmic group prejudice
Existing academic research focuses primarily on macrolevel governance paths of algorithmic discrimination, with relatively insufficient in-depth exploration of the microlevel game logic of job seekers and the construction of systematic adaptation strategies.
Paper's literature review/positioning statement claiming a gap in the literature (macro focus vs. microlevel adaptation under-explored); no systematic literature-mapping statistics provided in abstract.
high null result Job Search Game Under an Algorithmic Black Box: Generation o... focus of academic research (macro vs micro)
This paper treats pilots of supply chain innovation and application as a quasi-natural experiment and employs a difference-in-differences method to identify causal effects of supply chain digitalization.
Methodological description in the paper: sample of A-share listed companies (Shanghai and Shenzhen) 2013–2022; DID estimation using policy pilots as exogenous variation.
high null result How Artificial Intelligence Shapes the Human Capital Structu... methodological identification strategy (use of pilot policy as quasi-natural exp...
Future research should prioritize longitudinal and comparative studies to bridge the gap between experimental promise and practical application.
Authors' stated research agenda/recommendation in the review's conclusion.
high null result The Use of Technology and Data Analytics in Modern Auditing:... recommended research priorities
Findings were synthesized narratively due to methodological heterogeneity.
Methods/results statement in the review explaining narrative synthesis choice because of heterogeneity among included studies.
high null result The Use of Technology and Data Analytics in Modern Auditing:... synthesis approach
Risk of bias was assessed using the ROBINS-I tool.
Methods statement in the review specifying ROBINS-I for risk-of-bias assessment.
high null result The Use of Technology and Data Analytics in Modern Auditing:... risk of bias assessment method
The review followed PRISMA guidelines.
Methods statement in the paper indicating PRISMA adherence.
high null result The Use of Technology and Data Analytics in Modern Auditing:... reporting methodology
After screening, 10 studies met the inclusion criteria.
PRISMA-style screening result reported in the review (records screened and included).
high null result The Use of Technology and Data Analytics in Modern Auditing:... number of studies included
A comprehensive search across Scopus, Web of Science, IEEE Xplore, and ScienceDirect yielded 260 records.
Systematic search following PRISMA guidelines reported in the paper; databases searched explicitly listed.
high null result The Use of Technology and Data Analytics in Modern Auditing:... number of records identified
Prior research often treats AI presence as binary, framing it either as a hidden tool or a visible teammate.
Literature-summary claim asserted by the authors (literature review / conceptual critique). No quantitative evidence reported in the abstract.
high null result Who Gets Credit? Operationalizing AI Disclosure as Epistemic... research framing of AI presence (binary hidden vs visible)
The LLM fallacy is situated within existing literature on automation bias, cognitive offloading, and human–AI collaboration, but is distinguished as a form of attributional distortion specific to AI-mediated workflows.
Conceptual positioning and literature synthesis in the paper; claim is analytic rather than empirically tested in the abstract.
high null result The LLM Fallacy: Misattribution in AI-Assisted Cognitive Wor... conceptual distinctiveness of LLM fallacy relative to related constructs
Less attention has been given to how LLM usage reshapes users' perceptions of their own capabilities.
Literature gap claim from the paper's review of prior research on model reliability, hallucination, and trust calibration; no quantitative synthesis or meta-analysis reported.
high null result The LLM Fallacy: Misattribution in AI-Assisted Cognitive Wor... degree of prior research focus on users' self-perception following LLM use
The system evaluation was performed in a deployed multi-tenant enterprise application across three conditions: manual operation, unconstrained AI with safety layers disabled, and full bounded autonomy.
Method description in the paper's evaluation section: deployment context (multi-tenant enterprise app), three experimental conditions, and 25 scenario trials spanning seven failure families.
high null result Bounded Autonomy for Enterprise AI: Typed Action Contracts a... experimental design and conditions
The review focuses on the 2020–2025 period for studies of AI application in financial auditing.
Stated scope/timeframe of literature included in the review.
high null result Implementing Artificial Intelligence in Auditing: A Systemat... timeframe of included studies
Article selection was conducted using the Scopus (Q1–Q4) and Sinta (1–2) databases based on predefined inclusion and exclusion criteria, resulting in a final sample of 15 articles.
Stated data sources and selection procedure in the Methods section; final sample size explicitly reported as 15.
high null result Implementing Artificial Intelligence in Auditing: A Systemat... number of articles included in review
This study employs a Systematic Literature Review (SLR) method following the PRISMA 2020 protocol.
Stated methodology in the paper: explicit use of SLR and PRISMA 2020 protocol.
high null result Implementing Artificial Intelligence in Auditing: A Systemat... use of PRISMA 2020 in review methodology
The study analyzes Chinese A-share listed companies in core digital economy industries from 2015 to 2024 using a panel fixed‑effects regression model.
Study design and methods statement describing the sample frame (A-share listed firms in core digital economy industries, 2015–2024) and the use of panel fixed‑effects regression.
high null result The level of data element utilization in the integration of ... not applicable (methodological/sample description)
We conducted a year-long longitudinal study of AI use in a high-stakes workplace among cancer specialists.
Methodological statement in the paper indicating a year-long longitudinal empirical study with cancer specialists (no sample size or detailed methods reported in abstract).
high null result From Future of Work to Future of Workers: Addressing Asympto... longitudinal usage and effects of AI among clinicians
A total of 160 peer-reviewed articles met the inclusion criteria for the review.
Direct numerical summary reported in the abstract (number of articles meeting inclusion criteria).
high null result The implementation of artificial intelligence in organizatio... number_of_included_studies
This study conducted a systematic review of articles published in Web of Science and Scopus up to December 2025, following established methodological guidelines.
Explicit statement in abstract describing the study method (systematic review), data sources (Web of Science and Scopus), and time cutoff (December 2025).
high null result The implementation of artificial intelligence in organizatio... study_coverage / literature_search
We evaluate AIBuildAI on MLE-Bench, a benchmark of realistic Kaggle-style AI development tasks spanning visual, textual, time-series and tabular modalities.
Evaluation methodology described in paper (benchmark selection and task modalities).
high null result AIBuildAI: An AI Agent for Automatically Building AI Models evaluation coverage across data modalities on MLE-Bench
We surveyed 860 Microsoft developers to understand where they want AI support, and where they want it to stay out.
Primary empirical method reported in the paper (survey) with sample size explicitly stated as 860 Microsoft developers.
high null result To Copilot and Beyond: 22 AI Systems Developers Want Built developer preferences for AI support / rejection
Developers spend roughly one-tenth of their workday writing code.
Statement reported in the paper (abstract). No sample-size or measurement method for this specific statistic provided in the abstract.
high null result To Copilot and Beyond: 22 AI Systems Developers Want Built fraction of workday spent writing code
We examine 12 tasks across two practical settings: an AI consultancy providing solutions to business problems and an AI software team developing software products.
Description of experimental design and sample reported in the paper (method section): 12 tasks, two practical settings.
high null result AI Organizations are More Effective but Less Aligned than In... experimental tasks and settings (methodological sample description)
We tested 9 frontier models on BTB.
Abstract states that nine frontier models were evaluated using the benchmark.
high null result BankerToolBench: Evaluating AI Agents in End-to-End Investme... number of models evaluated
Completing a BTB task takes bankers up to 21 hours, underscoring the economic stakes of successfully delegating this work to AI.
Reported time-to-complete statistic in abstract (claimed maximum of 21 hours per task); implies measurement of human task completion time by bankers.
high null result BankerToolBench: Evaluating AI Agents in End-to-End Investme... time to complete a BTB task (hours)
BTB requires agents to execute senior banker requests by navigating data rooms, using industry tools (market data platform, SEC filings database), and generating multi-file deliverables including Excel financial models, PowerPoint pitch decks, and PDF/Word reports.
Benchmark design specifications reported in abstract describing the tasks and artifact types agents must produce.
high null result BankerToolBench: Evaluating AI Agents in End-to-End Investme... types of tasks and deliverables required by BTB
BankerToolBench (BTB) is an open-source benchmark of end-to-end analytical workflows routinely performed by junior investment bankers.
Paper describes BTB design and explicitly states it is open-source and targets end-to-end workflows for junior investment bankers.
high null result BankerToolBench: Evaluating AI Agents in End-to-End Investme... existence and scope of the BTB benchmark
We collaborated with 502 investment bankers from leading firms to develop an ecologically valid benchmark grounded in representative work environments.
Reported collaboration/sample size stated in abstract: 502 investment bankers involved in benchmark development.
high null result BankerToolBench: Evaluating AI Agents in End-to-End Investme... number of investment bankers collaborating on benchmark development
We ran a longitudinal 20-month empirical study (July 2024 -- February 2026) that chronicles the system's evolution.
Explicit statement of study duration and dates in the paper's abstract.
high null result OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Al... longitudinal observation of system evolution over time (duration)
The global onset of Industry 4.0 and Artificial Intelligence (AI) necessitates a re-evaluation of employment forecasts for Nagpur's medium enterprises.
Interpretive/prescriptive claim based on the paper's framing of technological change (Industry 4.0/AI) and implications for employment forecasting; no empirical sample size or quantitative backing provided in the excerpt.
high null result PREDICTING THE FUTURE OF JOBS IN NAGPUR DISTRICT MIDC: THE R... need to re-evaluate employment forecasts
Medium-scale industries in zones like Butibori and Hingna have traditionally been labor-intensive.
Descriptive statement in the paper about the nature of current industries in Nagpur/MIDC; no sample size or quantitative data reported in the excerpt.
high null result PREDICTING THE FUTURE OF JOBS IN NAGPUR DISTRICT MIDC: THE R... labor-intensity of industries
The full model, including all 11 analytical tabs, is made publicly available to facilitate replication and independent sensitivity testing.
Paper states that the full model and all 11 analytical tabs are publicly available.
high null result AI Capex Is Justified: A Bottom-Up Sectoral Estimate of Arti... availability of the full model for replication
A sensitivity analysis shows that the high-skill capture rate and the pace of friction decay are the two parameters with the greatest influence on the aggregate result.
Paper reports results of a sensitivity analysis identifying parameter importance; explicitly names high-skill capture rate and friction decay pace as most influential.
high null result AI Capex Is Justified: A Bottom-Up Sectoral Estimate of Arti... parameter sensitivity influence on aggregate GDP uplift
AI coverage scores are sourced from Massenkoff and McCrory (2026) and mapped to NAICS industries using employment-weighted averages derived from BLS Occupational Employment and Wage Statistics data for 2023.
Citation to Massenkoff and McCrory (2026) for theoretical LLM task coverage across SOC groups and explicit statement that mapping used employment-weighted averages from BLS OES 2023.
high null result AI Capex Is Justified: A Bottom-Up Sectoral Estimate of Arti... AI coverage by NAICS industry (as mapped from SOC-level coverage)
The core formula multiplies six inputs: base GDP, labor share, AI coverage, productivity gain percentage, adjusted adoption rate, and a skill-weighted capture rate.
Model specification in the paper describing the multiplicative core formula and listing the six inputs.
high null result AI Capex Is Justified: A Bottom-Up Sectoral Estimate of Arti... model input structure (factors multiplied to estimate sectoral GDP impact)
The baselines are implemented as prompts, representing the realistic deployment alternative to a governed framework.
Methodological statement in paper describing how baselines were implemented (as prompts); presented as representing realistic alternative deployment.
high null result Governed Reasoning for Institutional AI implementation approach for baseline systems (prompt-based)
We benchmark three systems on an 11-case balanced prior authorization appeal evaluation set.
Methodological statement in paper describing evaluation; sample size explicitly stated as 11 cases.
high null result Governed Reasoning for Institutional AI benchmark evaluation on prior authorization appeal cases
A motivation–resistance theoretical framework helps study AI knowledge stickiness, where 'motivation' captures within-city diffusion potential and 'resistance' captures frictions preventing knowledge transfer across cities and inducing local lock-in.
Conceptual/theoretical contribution presented in the paper defining the motivation–resistance framework and interpretable constructs (motivation and resistance) for explaining stickiness.
high null result Knowledge stickiness and technological concentration in the ... conceptual framing of factors influencing knowledge stickiness
The study uses a city-year panel of AI patent applications combined with urban statistics for the years 2014–2023 and estimates relationships using a two-way fixed-effects model.
Methodological description in the paper specifying data sources (AI patent applications, urban statistics), temporal coverage (2014–2023) and econometric approach (two-way fixed-effects).
high null result Knowledge stickiness and technological concentration in the ... data and estimation method (city-year panel, two-way fixed-effects)
The two case firms demonstrated contrasting approaches to implementing AI in recruitment.
Findings and case descriptions comparing the two firms' AI recruitment strategies and levels of implementation (n = 2 firms; interviews with 22 participants).
high null result The augmented recruiter: examining AI integration and decisi... implementation_approach_variation
The research contributes by shifting focus to under-researched non-Western workplace settings, particularly technologically advancing Middle Eastern economies like Qatar.
Paper's stated contribution and scope: focus on Qatari organisations and Middle Eastern context.
high null result The augmented recruiter: examining AI integration and decisi... geographic_research_focus
Four key themes emerged from the data: (1) process optimisation through AI integration, (2) subjectivity in AI-powered recruitment, (3) recruitment strategies in the age of AI, and (4) strategic investments in AI.
Findings: thematic analysis identified these four themes from interview data (n = 22) across the two case firms.
high null result The augmented recruiter: examining AI integration and decisi... identified_themes
Thematic analysis was used to identify patterns and relationships within the interview data.
Methods: analysis section reporting use of thematic analysis framework.
high null result The augmented recruiter: examining AI integration and decisi... analytic_method
Data were collected through semi-structured interviews with twenty-two participants across various organisational roles and hierarchical levels.
Methods: semi-structured interviews reported with total participants n = 22 across roles/levels.
high null result The augmented recruiter: examining AI integration and decisi... data_collection
The research investigated two prominent Qatari firms with contrasting AI recruitment implementation approaches.
Methods / case selection: two firms were selected and contrasted on their AI recruitment approaches (number of firms = 2).
high null result The augmented recruiter: examining AI integration and decisi... case_selection