
Volume III of a three-volume research compendium covering AI's economic impacts across 25 topic areas. This volume contains Reports 16–25, extending the analysis into systems-level infrastructure, future-oriented domains, and emerging sectors. 660 KB across 10 research files — ~481 footnoted citations — 86,225 words — 50 topic areas. Reports included:16: AI and Transportation, Autonomous Vehicles, Logistics, and Mobility Systems (autonomous vehicles, logistics/supply chain, MaaS, transportation safety, labor/equity)17: AI in Manufacturing, Industry 4.0, and Smart Factories (smart factories, predictive maintenance, cobots, reshoring, manufacturing labor)18: AI in Government Services, Public Administration, and Democratic Governance (government services, public safety, democratic governance, procurement/ethics, public workforce)19: AI and Retail, E-Commerce, Consumer Behavior, and the Consumer Economy (retail AI, personalization, retail labor, food service, consumer protection)20: AI, Demographics, and Workforce Futures (aging populations, immigration/talent flows, future of work scenarios, inequality, education pipeline)21: AI and Scientific Discovery, R&D, and the Transformation of the Scientific Method (drug discovery, materials science, weather/climate modeling, scientific method, reproducibility)22: AI and Insurance, Actuarial Science, and Risk Management (insurtech, actuarial AI, claims automation, cyber insurance, systemic risk, regulation)23: AI and Media, Journalism, Information Integrity, and the Attention Economy (news automation, information integrity, attention economy, copyright, content licensing)24: AI and Environment, Biodiversity Conservation, Natural Resource Management, and the Mining-Hardware Nexus (conservation monitoring, wildfire prediction, data center footprint, mining nexus, climate modeling)25: AI and Entrepreneurship, Small Businesses, the Startup Ecosystem, and the Solopreneur Economy (solopreneur economy, startup ecosystem, SMB adoption, equity gaps, venture capital) Cross-cutting findings: (1) Physical infrastructure is AI's binding constraint. (2) The "barbell economy" is emerging — AI benefits very large and very small firms while hollowing mid-sized enterprises. (3) AI is restructuring information trust across journalism, science, and government. (4) Demographic headwinds make AI adoption non-optional. (5) The environmental cost-benefit remains unresolved. Companion to Volume I (DOI: 10.5281/zenodo.19004727) and Volume II (DOI: 10.5281/zenodo.19012877).
AI economic policy, transportation AI, manufacturing AI, government AI, retail AI, demographics, scientific discovery, insurance AI, media AI, environmental AI, entrepreneurship, solopreneur economy, barbell economy, Industry 4.0, information integrity
AI economic policy, transportation AI, manufacturing AI, government AI, retail AI, demographics, scientific discovery, insurance AI, media AI, environmental AI, entrepreneurship, solopreneur economy, barbell economy, Industry 4.0, information integrity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
