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Evidence (1902 claims)

Adoption
5126 claims
Productivity
4409 claims
Governance
4049 claims
Human-AI Collaboration
2954 claims
Labor Markets
2432 claims
Org Design
2273 claims
Innovation
2215 claims
Skills & Training
1902 claims
Inequality
1286 claims

Evidence Matrix

Claim counts by outcome category and direction of finding.

Outcome Positive Negative Mixed Null Total
Other 369 105 58 432 972
Governance & Regulation 365 171 113 54 713
Research Productivity 229 95 33 294 655
Organizational Efficiency 354 82 58 34 531
Technology Adoption Rate 277 115 63 27 486
Firm Productivity 273 33 68 10 389
AI Safety & Ethics 112 177 43 24 358
Output Quality 228 61 23 25 337
Market Structure 105 118 81 14 323
Decision Quality 154 68 33 17 275
Employment Level 68 32 74 8 184
Fiscal & Macroeconomic 74 52 32 21 183
Skill Acquisition 85 31 38 9 163
Firm Revenue 96 30 22 148
Innovation Output 100 11 20 11 143
Consumer Welfare 66 29 35 7 137
Regulatory Compliance 51 61 13 3 128
Inequality Measures 24 66 31 4 125
Task Allocation 64 6 28 6 104
Error Rate 42 47 6 95
Training Effectiveness 55 12 10 16 93
Worker Satisfaction 42 32 11 6 91
Task Completion Time 71 5 3 1 80
Wages & Compensation 38 13 19 4 74
Team Performance 41 8 15 7 72
Hiring & Recruitment 39 4 6 3 52
Automation Exposure 17 15 9 5 46
Job Displacement 5 28 12 45
Social Protection 18 8 6 1 33
Developer Productivity 25 1 2 1 29
Worker Turnover 10 12 3 25
Creative Output 15 5 3 1 24
Skill Obsolescence 3 18 2 23
Labor Share of Income 7 4 9 20
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Skills Training Remove filter
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...