Evidence (4114 claims)
Adoption
8570 claims
Productivity
7631 claims
Governance
6869 claims
Human-AI Collaboration
6491 claims
Org Design
4175 claims
Innovation
4114 claims
Labor Markets
3566 claims
Skills & Training
2966 claims
Inequality
2066 claims
Evidence Matrix
Claim counts by outcome category and direction of finding.
| Outcome | Positive | Negative | Mixed | Null | Total |
|---|---|---|---|---|---|
| Other | 758 | 199 | 100 | 900 | 2007 |
| Governance & Regulation | 826 | 400 | 191 | 122 | 1563 |
| Organizational Efficiency | 777 | 193 | 124 | 84 | 1189 |
| Technology Adoption Rate | 635 | 233 | 124 | 97 | 1098 |
| Research Productivity | 422 | 128 | 57 | 336 | 954 |
| Output Quality | 476 | 179 | 59 | 47 | 761 |
| Decision Quality | 328 | 177 | 81 | 47 | 640 |
| Firm Productivity | 435 | 57 | 88 | 20 | 606 |
| AI Safety & Ethics | 218 | 277 | 65 | 33 | 599 |
| Market Structure | 180 | 170 | 123 | 24 | 502 |
| Task Allocation | 213 | 64 | 72 | 33 | 387 |
| Skill Acquisition | 170 | 61 | 61 | 17 | 309 |
| Innovation Output | 203 | 27 | 43 | 18 | 292 |
| Employment Level | 105 | 54 | 107 | 13 | 281 |
| Fiscal & Macroeconomic | 131 | 69 | 43 | 26 | 276 |
| Consumer Welfare | 117 | 63 | 42 | 11 | 233 |
| Firm Revenue | 153 | 48 | 26 | 3 | 230 |
| Task Completion Time | 173 | 31 | 8 | 12 | 225 |
| Inequality Measures | 44 | 122 | 49 | 6 | 221 |
| Worker Satisfaction | 89 | 65 | 22 | 12 | 188 |
| Error Rate | 69 | 92 | 10 | 2 | 173 |
| Regulatory Compliance | 77 | 69 | 14 | 5 | 165 |
| Automation Exposure | 56 | 56 | 26 | 13 | 154 |
| Training Effectiveness | 94 | 21 | 13 | 19 | 149 |
| Wages & Compensation | 77 | 36 | 25 | 6 | 144 |
| Team Performance | 86 | 17 | 27 | 10 | 141 |
| Developer Productivity | 95 | 17 | 14 | 6 | 133 |
| Job Displacement | 12 | 80 | 20 | 1 | 113 |
| Hiring & Recruitment | 52 | 7 | 8 | 3 | 70 |
| Creative Output | 31 | 18 | 8 | 3 | 61 |
| Skill Obsolescence | 5 | 46 | 6 | 1 | 58 |
| Social Protection | 27 | 16 | 8 | 2 | 53 |
| Labor Share of Income | 17 | 19 | 17 | — | 53 |
| Worker Turnover | 11 | 12 | — | 3 | 26 |
| Industry | — | — | — | 1 | 1 |
Innovation
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The capacity to create, maintain, and control digital agents becomes a new axis of international inequality, potentially devaluing the demographic dividend of developing countries and revising the logic of comparative advantages.
Geoeconomic theoretical analysis in the paper; no cross-country empirical analysis demonstrating changed comparative advantages presented.
The institutional architecture of modern societies (pension systems, taxation models, etc.) is built on assumptions that are systematically undermined by the rise of an agentic economy, necessitating a revision of fiscal and social models, including discrete taxation of algorithmic employment.
Normative and theoretical analysis linking institutional assumptions to agentic economy dynamics; no empirical policy evaluation or fiscal simulation results reported.
The agent energy profile (AEP) is introduced as a measure of annual energy consumption per unit of cFTE, allowing energy-based comparisons between algorithmic and human cognitive labour.
Methodological/conceptual proposal in the paper; no empirical measurements or energy accounting dataset provided.
The paper proposes a quantitative identification of algorithmic agents via the category of cognitive full-time equivalent (cFTE), enabling comparison of algorithmic and human productivity within a unified analytical framework.
Methodological proposal (definition and proposed use of cFTE) presented in the paper; no empirical validation or implementation sample reported.
The ontological status of technology is transforming from a productivity-enhancing tool to an autonomous participant in economic processes, forming a hybrid factor of production that combines characteristics of both capital and labour.
Theoretical analysis and conceptual framing in the paper; no empirical factor decomposition or production-function estimation provided.
Institutionalising digital agent registration could transform 'shadow demographics' into formal 'algorithmic demographics'.
Policy/theoretical proposition in the paper (institutionalisation as a mechanism); no empirical pilot or legal implementation evidence reported.
The concept of 'shadow demographics' describes a growing algorithmic population that expands in parallel with the stagnation or decline of the human population.
Conceptual definition and theorised dynamics in the paper; no empirical counts or longitudinal measurements of algorithmic population provided.
The expanding role of digital agents in production and market processes creates the preconditions for a gradual decoupling of demographic dynamics from economic growth.
Argumentative/theoretical exposition in the paper; no empirical panel or cross-country time-series evidence reported in the text provided.
AI-based digital agents can be interpreted as functional equivalents of economic actors.
Theoretical and conceptual argument presented in the paper (conceptual interpretation; no empirical sample or quantitative validation reported).
AI-mediated expert networks are an emerging phenomenon that existing coordination theories fail to account for.
Mentioned as an example in the abstract to motivate theoretical gap; no empirical data or sample provided.
GitHub Copilot exhibits 'recursive value creation' as an example of an emerging organizational phenomenon enabled by GenAI.
Illustrative example named in the abstract; no empirical measurement or sample reported within the abstract.
UCF provides a theoretical foundation for understanding organizational coordination when GenAI transforms cognitive constraints from scarce to abundant resources.
Position paper asserts UCF as foundational theory for coordination under transformed cognitive constraints; conceptual argument only.
Three emergent organizational forms illustrate UCF principles: cognitive meshworks (coordinated through competence synthesis), algorithmic ecosystems (achieving emergent optimization), and hybrid intelligence collectives (operating through cognitive complementarity).
Conceptual typology and illustrative examples in the position paper; no reported empirical measurement or sample.
We introduce unbounded cognitive fusion (UCF) as a new theoretical framework explaining coordination through cognitive synthesis rather than price signals or authority structures.
Theoretical proposal and framing within the paper; conceptual development rather than empirical validation.
Generative artificial intelligence (GenAI) fundamentally alters [traditional organizational coordination] assumptions by augmenting human cognitive capabilities across organizational boundaries.
Position paper argumentation and conceptual reasoning presented in the abstract; no empirical data or sample reported.
Future research should explore hybrid frameworks that combine LLM reasoning with quantitative optimization for cost-sensitive environments.
Recommendation in conclusion based on observed results (LLMs perform reasonably but lag optimized methods and transaction costs matter).
A transaction cost analysis revealed that low-turnover LLM strategies retain their competitiveness post-costs, surpassing cap-weighted benchmarks.
Post-transaction-cost analysis reported in results: LLM strategies with low turnover remained competitive after applying transaction cost assumptions and exceeded performance of cap-weighted benchmark.
LLM-generated portfolios outperformed naive diversification (Sharpe ratio up to 0.741).
Backtest results comparing LLM-generated portfolios against naive diversification; reported Sharpe ratio value (up to 0.741) for LLM strategies.
Substantive technological competencies play an important role in shaping network resilience and complement structure-based perspectives in understanding innovation networks.
Synthesis of empirical findings from composite metric identification and disruption simulations on the 282,778-patent-derived networks showing capability-based removals have stronger impacts than structure-only removals.
A composite technological capability metric can be constructed (from textual and network information) to identify core innovators beyond simple topological measures.
Construction and application of a composite metric combining text-derived technological value and network features on 282,778 patents; used to identify core innovators.
Latent Dirichlet Allocation (LDA) on the patent texts delineates fine-grained technological domains within the Chinese AI patent corpus.
Text-mining method applied to a corpus of 282,778 Chinese AI patents using LDA to extract topic/domains.
This study develops a multidimensional, knowledge-driven evaluation framework that integrates text mining with complex network analysis to identify core innovators.
Methodological description: framework built using Latent Dirichlet Allocation (LDA) on 282,778 Chinese AI patents, construction of a composite technological capability metric, and simulation of targeted disruptions across collaboration and knowledge networks.
Managing evolutionary dynamics in software is as urgent as AGI alignment for safeguarding society’s co-evolution with its machines.
Author's concluding normative claim in the abstract; argument based on scenario analysis rather than comparative empirical evidence.
Governance should shift focus from aligning goals to steering evolution; the paper proposes four guidance instruments: replication-rate thresholds (modeled on epidemiological R0), a public vulnerability registry for self-modifying code, tiered digital biosafety levels, and adaptive regulatory sandboxes.
Normative policy recommendation spelled out in the abstract; based on the paper's scenario analysis and argumentation rather than empirical validation.
Cloud platforms, open-source software supply chains, and crypto-economic incentives provide, at electronic speed, the three preconditions of evolution: replication, variation, and differential fitness.
Conceptual/mechanistic claim supported by theoretical argumentation and scenario-building in the paper (no empirical test or sample reported).
The findings offer practical insights for construction firms to enhance innovation performance through effective AI integration and help engineers better leverage AI tools in design and project management workflows.
Authors' stated practical implications based on their empirical findings (survey results linking AI capability, decision-making quality, and innovation performance).
Algorithmic transparency positively moderates the relationship between AI capability and decision-making quality.
Moderation analysis reported on questionnaire data (Credamo, time-lagged) with n=435; authors state a positive moderating effect of algorithmic transparency.
Decision-making quality mediates the relationship between AI capability and innovation performance.
Mediation analysis reported on the same survey dataset (time-lagged Credamo survey) with n=435 using established measurement scales; stated in results.
AI capability is positively associated with innovation performance.
Authors report statistical analysis of questionnaire data collected via the Credamo platform (time-lagged design) using established scales; sample size n=435; result stated in findings.
Make is most compelling for commodity utilities and for differentiating custom applications in the AI era.
Paper's typology and normative recommendation derived from conceptual analysis (no empirical validation reported).
AI fundamentally transforms the governance properties of the Make option, shifting it from Williamson's pure hierarchy to a hybrid governance form that combines code ownership with external AI infrastructure dependency.
Conceptual argument combining transaction cost economics, resource-based view, and assessment of AI infrastructure characteristics (no empirical testing reported).
The 'SaaSocalypse' narrative predicts that AI will render large segments of the Software-as-a-Service market obsolete by enabling firms to build software in-house at a fraction of historical cost.
Statement summarizing an extant narrative in industry and literature (paper cites/describes this narrative; no empirical test in the paper).
Advances in generative artificial intelligence, particularly agentic coding systems capable of autonomous software development, are disrupting the economics of the make-or-buy decision for enterprise applications.
Paper's conceptual analysis combining transaction cost economics, resource-based view, and assessment of current AI capabilities (no empirical sample reported).
Empirically, the decomposition confirms a speculative peak confined to December 1999–March 2000 in the dot-com episode.
Empirical application of the proposed decomposition and bubble test to historical asset price data covering the dot-com episode (data analysis reported in the paper).
A fundamental-versus-speculative decomposition that projects prices onto observable technology proxies and applies the bubble test to the residual corrects for the contamination.
Methodological proposal described in the paper; presented as a corrective procedure (projection of prices on technology proxies and testing residuals).
Embedding a hump-shaped technology shock in the Campbell-Shiller present-value model, the fundamental price becomes locally explosive during adoption.
Analytical/theoretical proof derived from the modified Campbell-Shiller present-value model with a hump-shaped technology shock (model-based derivation).
Our evolved prefetcher achieves a 1.76x geomean IPC speedup over no prefetching, 17% over its VA/AMPM Lite seed (1.59x) and 21% over SMS (1.55x).
Reported experimental result comparing geomean IPC across benchmark set; comparisons made to no prefetching and two specific prefetcher baselines. Benchmark details not included in abstract.
Our evolved branch predictor achieves a 1.100x geomean IPC speedup over Bimodal, 1.5% over its Hashed Perceptron seed (1.085x).
Reported experimental result comparing geomean IPC across benchmark set; compared to Bimodal and Hashed Perceptron seed as baselines. Benchmark details not given in abstract.
Our best evolved cache replacement design achieves a 1.062x geomean IPC speedup over LRU, 0.6% over Mockingjay (1.056x).
Reported experimental result comparing geomean IPC across benchmark set; exact benchmark count/split not provided in abstract. Comparison reported against LRU and Mockingjay baselines.
Across cache replacement, data prefetching, and branch prediction, Agentic Architect matches or exceeds state-of-the-art designs.
Experimental evaluation across three microarchitectural component domains (cache replacement, prefetching, branch prediction) reported in the paper with comparative performance results versus baselines.
We introduce Agentic Architect, an agentic AI framework for computer architecture design exploration and optimization that combines LLM-driven code evolution with cycle-accurate simulation.
Authors' description of the system and methodology in the paper (introduction and methods). No numeric sample size reported in the abstract; evidence is the implemented framework and accompanying descriptions; authors state it is open-source.
PD--RSAC maintained zero feeder-limit violations in the experiments.
Empirical reporting in the paper's experimental results on the simulator that PD--RSAC had zero feeder-limit violations while operating under the formulated constraints.
Experiments on a large-scale EV fleet simulator built from NYC taxi data show that PD--RSAC achieves the highest net profit, reaching $1.22M.
Empirical results reported from experiments run on a large-scale EV fleet simulator constructed from NYC taxi data; PD--RSAC reported net profit of $1.22M in these experiments (paper's experimental section).
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision.
Statement in abstract describing observed industry trend; paper reports a structured survey of industry trends, emerging standards, and technical literature as its method for situating this observation.
Taken together, these insights provide theoretical clarity and practical guidance for responsible GenAI integration into creative work.
Authors' stated contribution and practical recommendations derived from the conceptual framework; no empirical evaluation of guidance effectiveness provided.
The study reinterprets process-oriented creativity theories through structural parallels with GenAI.
Conceptual reanalysis and theoretical reinterpretation based on literature synthesis (paper's theoretical contribution).
The authors propose a role-based integration model that aligns GenAI capabilities with key creative functions: idea generation, synthesis, strategic framing, and facilitation.
Presentation of a novel conceptual model / framework in the paper (theoretical design); no empirical validation or measured outcomes reported.
The paper repositions GenAI as a cognitive collaborator rather than merely a productivity tool.
Argumentative / conceptual claim supported by the proposed theoretical reframing and role-based model in the paper; no empirical testing reported.
There are structural parallels between GenAI architectures and human cognition—such as heuristic search, divergent thinking, and iterative refinement.
Conceptual mapping and theoretical comparison between GenAI architecture characteristics and cognitive/creativity constructs presented in the paper (literature synthesis / theoretical argument).
The study revisits foundational creativity theories to develop a framework for integrating GenAI into creative workflows.
Paper describes a conceptual review and theoretical synthesis of foundational creativity theories leading to a proposed integration framework; methodological (theoretical / conceptual) contribution rather than empirical validation.