Evidence (8570 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 |
Adoption
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AI adoption intensifies existing sustainability challenges for the newsroom, as journalistic content and labour increasingly support AI systems without corresponding financial return.
Qualitative interview data and organisational analysis from Al-Masry Al-Youm indicating increased use of journalistic outputs for AI purposes and lack of matched revenue; sample size not reported in the excerpt.
Reliance on global technology providers embeds forms of platform dependency within newsroom operations at Al-Masry Al-Youm.
Qualitative case study based on in-depth interviews with journalists, editors, and technical staff at Al-Masry Al-Youm (Egypt); analysis of newsroom practices and integration of third-party/global AI tools. Sample size not reported in the excerpt.
Research on platform governance remains fragmented and lacks an integrative perspective.
Conclusion drawn from the systematic literature review (644 publications) indicating fragmentation in the scholarly literature.
Participants in platform ecosystems cannot be governed through traditional command-and-control mechanisms.
Conceptual claim supported by the literature synthesized in the systematic literature review (644 publications).
Government subsidies exert a negative moderating influence on the relationship between fintech development and corporate total factor productivity.
Moderation analysis reported in the paper on Chinese A-share listed manufacturing firms (2015–2023); paper states government subsidies weaken the positive fintech–TFP relationship (no numeric interaction estimates provided in the excerpt).
Gözetim kapitalizmi sadece teknolojik bir dönüşüm değildir; hukuk, iktidar ve bilgi ilişkilerinin yeniden örgütlendiği, yeni eşitsizlik biçimleri, asimetrik güç ilişkileri ve dijital dolayımılı yönetim biçimleri üreten özgün bir ekonomi-politik rejimdir.
Genel sonuç/sonuçlandırma çıkarımı; sentezleyici teorik analiz; argument based on mapping between technology, law, and power (no empirical evidence in abstract).
Foucaultcu perspektiften algoritmik yönetimsellik, bireyi yalnızca denetlenen bir özne haline getirmekle kalmayıp, aynı zamanda davranışsal fazlanın üreticisi olan bir veri-nesnesine dönüştürmektedir.
Foucault teorik çerçevesiyle yapılan kavramsal analiz; literatüre dayalı argüman; no empirical sample provided in abstract.
Kişisel verilerin metalaştırılması, Julie E. Cohen’in 'biyopolitik kamusal alan' kavramsallaştırması üzerinden değerlendirildiğinde, kişisel bilgi ekonomik üretim ve davranışsal öngörünün hammaddesi olarak hukuksal dispozitif tarafından yapılandırılmaktadır.
Teorik değerlendirme ve kavramsal çerçeveleme; atıf yapılan literatüre dayanıyor; no empirical testing reported.
Hukuk sistemi veri üretimi, dolaşımı, mülkiyeti ve ticarileştirilmesini kurumsallaştırarak gözetim kapitalizminin kurucu unsurlarından biri haline gelmiştir.
Hukuk teorik analizine dayanan argüman; çalışmada Julie E. Cohen ve Foucault perspektifleriyle hukuksal dispozitif incelenmektedir. No quantitative/legal-empirical dataset cited in abstract.
Bu rejimde davranışsal veriler algoritmik altyapılar aracılığıyla sürekli biçimde çıkarılmakta, işlenmekte ve metalaştırılmaktadır.
Kavramsal/diskurs analizi ve literatüre atıf (Zuboff); no empirical measurement or sample described in abstract.
Neither setup speaks to the operationally most relevant case for marketing practice: building detailed individual twins from the pre-existing heterogeneous panel data that firms already accumulate through CRM systems, loyalty programs, and repeat surveys.
Author's argument / positioning (identifying a gap between existing published twins and practical marketing use cases).
Traditional review perspectives organized by method, data type, or application domain understate a deeper shift toward human–AI hybrid decision systems.
Critical assessment within the integrative conceptual review contrasting existing review axes with the proposed decision-system perspective (no empirical sample size).
The benefits of the digital economy are uneven: urban residents gain more than rural residents, widening the urban–rural income gap.
Heterogeneity analysis (urban vs. rural) in the two-way fixed effects panel on 31 provinces (2011–2021) showing larger estimated income effects for urban areas.
Existing SID generation methods rely heavily on unsupervised quantization, and in realistic scenarios the lack of explicit supervision makes it difficult to dictate which items should share an SID, resulting in limited capability for query-dependent ranking.
Background/related-work claim in paper describing limitations of prior SID generation methods (argumentative/literature-based claim). No experimental quantification in the excerpt.
GPU utilization surged from 57% to 94% following the mining software's public release, displacing legitimate research workloads.
Measurement of GPU utilization levels before (57%) and after (94%) the public release of mining software; authors attribute displacement of research workloads to the utilization surge.
Budget GPU rental prices rose 38% following the mining software's public release.
Market measurements of budget GPU rental prices before and after the public release of the mining software, reporting a 38% increase.
The mining computation is commodity integer arithmetic portable to any hardware platform, offering no vendor lock-in.
Analysis of the computation showing it relies on basic integer arithmetic operations and is implementable across diverse hardware architectures.
Mining is unprofitable at current PRL prices ($0.21) across all GPU tiers (-54% to -72% ROI).
Profitability analysis/calculation across GPU tiers using current token price of $0.21; reported ROI range of -54% to -72%.
Statistical distribution checks are trivially defeated by adversarial Gaussian sampling.
Demonstration that adversarial Gaussian-sampled outputs pass the system's statistical distribution checks; experimental or analytic demonstration reported.
The verification protocol accepts random matrices by design, confirmed by 44 pool-accepted shares from our open-source miner across NVIDIA, AMD, CPU, and Apple Silicon hardware.
Protocol analysis showing acceptance criteria; empirical confirmation via 44 pool-accepted shares generated by an open-source miner run on multiple hardware architectures (44 accepted shares observed).
The dominant mining software contains no inference code.
Static/dynamic analysis of the dominant mining software deployed on the network showing absence of AI inference routines.
Pearl's 24 EH/s network -- representing approximately 320,000 GPU-equivalents consuming an estimated 112 MW -- produces zero useful AI computation.
Empirical measurement of Pearl network hashrate (24 EH/s) and mapping to GPU-equivalents and power consumption; analysis of miner code and verification showing no useful AI inference performed.
Existing LLM4Rec paradigms neglect the trade-off between LLM semantic rewards and recommendation preference rewards during reinforcement learning (RL) alignment.
Author assertion identifying a second limitation of prior work (paper's problem statement).
Existing LLM4Rec paradigms are bottlenecked by the difficulty of measuring and improving chain-of-thought (CoT) quality in open-domain recommendation during supervised fine-tuning (SFT).
Author assertion about limitations of prior LLM4Rec paradigms (literature/diagnosis in the paper).
The path coefficient for R&D expenditure is negative, suggesting a possible short-term adjustment effect (even though the mediation is not significant).
Reported negative path coefficient in mediation analysis (value/statistical significance not provided beyond being nonsignificant); interpretation offered by authors as a potential short-term adjustment effect.
Even creating a new brain‑privacy right would invite weak protection and insufficient incentives for brain‑data supply.
Argumentative claim in the paper based on normative analysis of legal incentives and data-supply dynamics (no empirical data or quantified modeling provided).
Privacy rights under the empowerment model cannot fully protect brain privacy.
Theoretical/legal critique in the paper contrasting empowerment-style privacy rights with the nature of brain data (argumentative, no empirical validation).
Much of the literature on AI systems has focused on aligning users' goals with the agents that act on their behalf, and this work may overlook the need to establish a new normative baseline.
Characterization of existing literature (literature-review/position claim) presented in the paper; no systematic review or quantification provided in the excerpt.
These systems have access to reams of sensitive user data.
Stated as a factual consequence of the described integration (conceptual observation in the paper); no empirical measurement or dataset cited in the excerpt.
In the absence of general design principles, hybrid components are typically introduced through ad hoc decisions tailored to specific domains.
Observational/literature-framing claim in the abstract describing current practice; not presented as a quantified empirical result in this paper.
The effect concentrates at mid-market and is largest on the most priors-reliant generation route in our audit.
Cross-analysis within audit linking where recommendation-set changes occur (mid-market) and magnitude by generation route (priors-reliant routes show larger effects).
Mid-market brands swap up to 75% of the recommendation set as the persona changes.
Empirical observation from audit showing proportion of mid-market recommended brands that change when persona is prefixed; reported maximum swap percentage.
Prefixing the user message with a persona drops the recommendation-set similarity (Jaccard) by Delta = -0.12 to -0.20 relative to a same-persona baseline.
Empirical comparison of recommendation-set Jaccard similarity between persona-prefixed prompts and same-persona baseline across audit runs; reported effect range and baseline comparison.
Pure implementations of the data mesh paradigm frequently underdeliver because teams inherit new responsibilities without the platform maturity, tooling, or coordination mechanisms to exercise them effectively.
Argument/observation presented in the paper as rationale for proposing a new architecture (anecdotal/experience-based reasoning rather than reported empirical trial).
Enterprise data platforms face an enduring tension between domain self-service and holistic governance (a flexibility-versus-control trade-off).
Conceptual statement in the paper describing the problem motivating the work (literature/architectural framing).
Achieving this system-level transformation takes time: it requires trust and accountability infrastructure, machine-legible and interoperable data and interfaces, the design and adoption of these new workflows, and economic incentives that favor reconstruction rather than local optimization.
Argumentative claim listing necessary preconditions and complementary investments; presented conceptually without reported empirical measurement in the provided text.
The main reason [the disruption has not fully arrived] is not model capability, nor even the tools built to harness those models; rather, most organizations are still using AI to accelerate workflows designed for a pre-AI world.
Argued in the paper as an explanatory thesis; supported by conceptual argument and illustrative examples (consumer markets, education, news, coding) rather than reported empirical analysis in the provided text.
The disruption many expect has not fully arrived.
Stated as an observation in the paper's introduction/abstract; no empirical method, sample size, or data reported in the excerpt.
Reputation mechanisms presuppose persistent identity, behavioral continuity, sanction sensitivity, and costly non-fungibility; absence of any of these undermines reputation systems.
Analytic claim in the paper articulating necessary conditions for reputation mechanisms to function; presented as theoretical grounding rather than empirically tested criteria.
The analogy from human identity verification and reputation mechanisms (e.g., 'Know Your Customer', credit scores) to 'Know Your Agent' regimes is fundamentally incomplete.
Comparative conceptual argument in the paper highlighting disanalogies between human actors and modular language model agents; no empirical comparison or data provided.
Identity-based, ex post, regulative, sanction-based governance, such as reputation, is structurally inapplicable to dissociative agents.
Normative/theoretical argument in the paper deduced from properties of dissociative agents and requirements of identity-based governance; no empirical or experimental support reported.
Dissociativity leaves agents without grounding for identifiability, predictability, credibility, and rehabilitability — the very properties that reputation mechanisms aim to sustain — thereby collapsing trust.
Conceptual inference in the paper combining the dissociative characterization of agents with the functional requirements of reputation systems; no empirical validation provided.
An agent's persona is fluid, vulnerable to adversarial attack, and may not internalize sanctions.
Argumentative claim in the paper citing susceptibility of modular agent components (prompts, tools, memory) to manipulation; no empirical attack experiments or sample sizes reported.
Language model agents are ontologically dissociative: they are essentially an assemblage of mutable modules -- foundational models, system prompts, tool-access policies, external memory, and, in some cases, a multi-agent system as a whole -- any of which may change agent behavior.
Theoretical characterization and system-level description in the paper; lists components that can be changed to alter behavior; no empirical measurement or sample reported.
The share of diffs receiving timely review has declined, exposing a widening gap between code supply and reviewer bandwidth.
Observational telemetry/operational metrics reported in the paper indicating a decline in timely reviews relative to diff supply. No specific numeric sample size provided in the excerpt.
Differences in patent and trademark classification systems represent a challenge to linking patent and trademark data.
Stated methodological challenge in paper; no quantified measure of the challenge provided in excerpt.
The economic impact of patented technologies remains unclear unless patent data is linked to other data, which can reveal the mechanisms through which new technology diffuses.
Argumentative claim in paper asserting need for linked data to understand economic impact; no empirical sample or specific method reported in excerpt.
These results suggest the problem is not in any specific auditor but in any audit whose evidence comes from the audited party.
Synthesis and conclusion drawn from the authors' analyses and experiments across the studied auditing frameworks.
We call this a trust paradox: every audit must trust some artifact, but current frameworks trust exactly the ones a provider has the strongest reason to manipulate.
Conceptual framing and critique of existing auditing frameworks (argument/analysis in paper).
The audit therefore reduces to a consistency check on the provider's own reports.
Logical implication derived from the provider-controlled hiding of model/tokenizer/execution (argument/analysis in paper).