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Evidence (2506 claims)

Adoption
5267 claims
Productivity
4560 claims
Governance
4137 claims
Human-AI Collaboration
3103 claims
Labor Markets
2506 claims
Innovation
2354 claims
Org Design
2340 claims
Skills & Training
1945 claims
Inequality
1322 claims

Evidence Matrix

Claim counts by outcome category and direction of finding.

Outcome Positive Negative Mixed Null Total
Other 378 106 59 455 1007
Governance & Regulation 379 176 116 58 739
Research Productivity 240 96 34 294 668
Organizational Efficiency 370 82 63 35 553
Technology Adoption Rate 296 118 66 29 513
Firm Productivity 277 34 68 10 394
AI Safety & Ethics 117 177 44 24 364
Output Quality 244 61 23 26 354
Market Structure 107 123 85 14 334
Decision Quality 168 74 37 19 301
Fiscal & Macroeconomic 75 52 32 21 187
Employment Level 70 32 74 8 186
Skill Acquisition 89 32 39 9 169
Firm Revenue 96 34 22 — 152
Innovation Output 106 12 21 11 151
Consumer Welfare 70 30 37 7 144
Regulatory Compliance 52 61 13 3 129
Inequality Measures 24 68 31 4 127
Task Allocation 75 11 29 6 121
Training Effectiveness 55 12 12 16 96
Error Rate 42 48 6 — 96
Worker Satisfaction 45 32 11 6 94
Task Completion Time 78 5 4 2 89
Wages & Compensation 46 13 19 5 83
Team Performance 44 9 15 7 76
Hiring & Recruitment 39 4 6 3 52
Automation Exposure 18 17 9 5 50
Job Displacement 5 31 12 — 48
Social Protection 21 10 6 2 39
Developer Productivity 29 3 3 1 36
Worker Turnover 10 12 — 3 25
Skill Obsolescence 3 19 2 — 24
Creative Output 15 5 3 1 24
Labor Share of Income 10 4 9 — 23
Clear
Labor Markets Remove filter
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.
low-medium positive Bridging Skill Gaps for the Future Employment and wages in low-skilled service occupations (indirect demand effects...
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.
medium-high positive Bridging Skill Gaps for the Future Wages / estimated wage premia for vacancies requiring new skills
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.
speculative positive Who Loses to Automation? AI-Driven Labour Displacement and t... evidence on effectiveness of bundled interventions and cross-country moderation ...
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.
speculative positive Who Loses to Automation? AI-Driven Labour Displacement and t... quality of empirical measurement (ability to isolate task vs job displacement an...
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.
speculative positive Who Loses to Automation? AI-Driven Labour Displacement and t... worker welfare and employment security under combined policy interventions
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.
speculative positive The Macroeconomic Transition of Technological Capital in the... political risk indicators (populist support, policy volatility) — discussed qual...