Evidence (2160 claims)
Search and filter individual claims pulled from the papers. Looking for a specific finding ("what's the effect on wages?"), you're in the right place. Want to compare whole outcome categories against each other instead? Use the Evidence Explorer.
The board below groups claims two ways: by broad theme (nine paper-level topics) and by outcome category (the 34 claim-level outcomes that the Explorer and Syntheses also use).
Browse by theme
Nine broad, paper-level topics. Click one to filter the claims below.
Adoption
9047 claims
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Productivity
8066 claims
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Governance
7278 claims
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Human-AI Collaboration
6912 claims
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Org Design
4439 claims
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Innovation
4359 claims
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Labor Markets
3652 claims
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Skills & Training
3018 claims
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Inequality
2160 claims
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Claims by outcome category
Counts by direction of finding. These are the same 34 outcome categories the Explorer compares and the Syntheses are written for. A linked row has a published synthesis.
| Outcome | Positive | Negative | Mixed | Null | Total |
|---|---|---|---|---|---|
| Other | 795 | 210 | 105 | 955 | 2131 |
| Governance & Regulation | 886 | 414 | 197 | 126 | 1654 |
| Organizational Efficiency | 826 | 204 | 129 | 87 | 1257 |
| Technology Adoption Rate | 681 | 259 | 128 | 110 | 1189 |
| Research Productivity | 464 | 138 | 65 | 349 | 1028 |
| Output Quality | 503 | 196 | 61 | 53 | 813 |
| Decision Quality | 351 | 180 | 84 | 51 | 673 |
| AI Safety & Ethics | 238 | 288 | 71 | 34 | 637 |
| Firm Productivity | 455 | 58 | 92 | 20 | 631 |
| Market Structure | 186 | 172 | 123 | 25 | 511 |
| Task Allocation | 222 | 70 | 76 | 34 | 407 |
| Innovation Output | 238 | 28 | 48 | 18 | 334 |
| Skill Acquisition | 177 | 62 | 62 | 17 | 318 |
| Employment Level | 107 | 57 | 108 | 13 | 287 |
| Fiscal & Macroeconomic | 135 | 72 | 44 | 26 | 284 |
| Firm Revenue | 172 | 50 | 28 | 5 | 256 |
| Consumer Welfare | 121 | 68 | 45 | 12 | 246 |
| Task Completion Time | 183 | 33 | 10 | 13 | 240 |
| Inequality Measures | 45 | 126 | 50 | 6 | 227 |
| Worker Satisfaction | 95 | 74 | 23 | 12 | 204 |
| Error Rate | 77 | 98 | 11 | 4 | 190 |
| Regulatory Compliance | 84 | 73 | 17 | 7 | 181 |
| Automation Exposure | 61 | 61 | 27 | 14 | 166 |
| Training Effectiveness | 98 | 21 | 14 | 19 | 154 |
| Wages & Compensation | 78 | 37 | 25 | 6 | 146 |
| Developer Productivity | 105 | 18 | 14 | 6 | 144 |
| Team Performance | 87 | 17 | 28 | 10 | 143 |
| Job Displacement | 12 | 83 | 23 | 1 | 119 |
| Hiring & Recruitment | 53 | 8 | 8 | 3 | 72 |
| Social Protection | 39 | 17 | 8 | 2 | 66 |
| Creative Output | 32 | 20 | 8 | 3 | 64 |
| Skill Obsolescence | 5 | 50 | 6 | 1 | 62 |
| Labor Share of Income | 17 | 20 | 17 | — | 54 |
| Worker Turnover | 15 | 15 | — | 3 | 33 |
| Industry | — | — | — | 1 | 1 |
Inequality
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Building integrated One Health data platforms and interoperable metadata standards is a priority to enable child-centered AI applications, surveillance, and economic evaluation.
Policy recommendation grounded in identified data fragmentation; authors argue for investment and international cooperation based on the review's assessment of gaps.
Economic evaluations and AI-enabled allocation algorithms need to internalize cross-sector externalities (e.g., agricultural antibiotic use) and long-term child health/human-capital impacts to prioritize effective interventions.
Recommendation based on synthesis of AMR ecology, economics, and developmental-impact literature; conceptual argument rather than empirical demonstration.
Embedding an explicit, child-centered lens into One Health research, surveillance, governance, and interventions is necessary to protect child health and equity.
Policy and normative argument built from the review synthesis; recommendation rather than empirically tested intervention—draws on identified gaps in surveillance, governance, and evidence.
Vacancies explicitly requiring AI skills carry wage premia.
Wage regressions using an AI-skill flag (vacancies explicitly requesting AI competencies identified via text analysis) showing positive wage differentials for AI-skill vacancies.
Low-skilled workers can benefit indirectly through increased demand for services supplied to high-skilled earners.
Observed indirect (secondary) employment/wage gains in service occupations typically employing lower-skilled workers, consistent with a demand-side channel from higher incomes of high-skilled workers; based on occupation-level correlations in the panel/cross-sectional analyses.
Vacancies demanding new skills (including AI) offer higher wages on average (wage premia).
Vacancy-level regressions estimating wage premia associated with new-skill requirements, controlling for occupation, firm, and other observables; new-skill and AI-skill flags identified by text analysis.
Research gaps include the need for causal evaluations (RCTs or quasi-experiments) of bundled interventions (training + placement + income support), cross-country comparisons of informality's moderating role, and better data on platform employment dynamics.
Identified research agenda and priorities summarized from the literature review and gap analysis in the paper; recommendation rather than empirical finding.
Empirical work on automation should distinguish task vs job displacement, measure platform algorithmic effects on labour demand, and quantify fallback employment options available to displaced informal workers.
Methodological recommendation based on gaps identified in the reviewed literature and limitations of existing studies; no new data collection presented.
Policy responses should go beyond reskilling to include mechanisms addressing informality and job quality (e.g., portable benefits, minimum standards for platforms, guaranteed work or public employment schemes, wage floors, and training linked to placement).
Policy recommendation synthesized from literature on platform labour, social protection, and training program design; normative prescription rather than empirically validated intervention within this paper.
Unchecked shifts toward K_T-dominated production can amplify political risks (rising inequality, fiscal strain) that may fuel populism, protectionism, and demands for renegotiated social contracts.
Theoretical political‑economy discussion supported by historical analogies and model scenarios linking fiscal stress and distributional change to political-instability risks; qualitative case evidence.