QUARTERLY RELEASE · SEPTEMBER 2026
Research & data / Economics of artificial intelligence
Economics of Artificial Intelligence: Literature Atlas
A curated quarterly resource for examining the papers, research areas, authors, and open questions shaping the economics of artificial intelligence.
Overview
About the atlas
The atlas organizes economics research on artificial intelligence into six broad areas. Papers are positioned by intellectual similarity, while links identify shared authors, shared concepts, or membership in the same research area. Citation counts provide context about attention to a paper; they are not measures of research quality.
Readers can use the network for orientation, consult the paper index for a conventional bibliography, or review the separate rankings page. Every available record links to an original paper or publisher source.
- Update schedule
- Reviewed and updated quarterly
- Primary sources
- OpenAlex, Crossref, NBER, RePEc, SSRN, arXiv, and publisher records
- Interpretation
- Similarity links and research areas reflect editorial classification, not causal relationships
- AI disclosure
- ChatGPT assisted with discovery, metadata cleanup, summaries, classification, and interface development; source records are provided for verification
110 VISIBLE / ALL 110 PAPERS MAPPEDAI economics, seen as a connected systemEach line has a reason. Select a paper to reveal it.
WHY LINES APPEARShared authorShared conceptSame field
CIRCLE AREA = CITATIONS
102501,000+
Crossref · 2026-09-06Coverage summary
Authors and institutions
Counts describe representation in this atlas; they are not a ranking of research quality or individual influence. Select a name to apply it as a filter.
TOP 5 JOURNAL COVERAGEAER4ReStat3QJE4ECMA3JPE115 PAPERS
AUTHORS · PAPERS IN ATLAS
INSTITUTIONS · PAPERS IN ATLAS
Institution tags combine available publication metadata with a curated author-affiliation layer. Coverage is directional and can include more than one university per paper.
Bibliography
Paper index
Search the 110-paper bibliography by title or author, narrow it to a research area, or open the source record.
SORT
110RESULTSNO.YEARPAPER & AUTHORSFIELDCITEDSOURCE
01Algorithmic CredentialismBlair & GuoPolicy & distribution0NBER↗02Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate ExecutivesBaslandze, Edwards, Graham et al.Firms & adoption3NBER↗03Automation and Rent Dissipation: Implications for Wages, Inequality, and ProductivityAcemoglu & RestrepoLabor & tasks11QJE↗04Behavioral Economics of AI: LLM Biases and CorrectionsBini, Cong, Huang & JinMarkets & competition0NBER↗05Beyond Exposure: Predicting AI Adoption Based on Comparative AdvantageLindenlaub, Oh, Rodriguez & VeldkampLabor & tasks0NBER↗06Canaries in the Gold Mine: Early Productivity Gains from AI Creating Organization CapitalBabina, He & JiangFirms & adoption0NBER↗07Chaining Tasks, Redefining Work: A Theory of AI AutomationDemirer, Horton, Immorlica, Lucier & ShahidiLabor & tasks8NBER↗08Does Generative AI Narrow Education-Based Productivity Gaps?Cruces, Fernández Meijide, Galiani, Gálvez & LombardiLabor & tasks6NBER↗09Firm Data on AIYotzov, Barrero, Bloom et al.Firms & adoption9NBER↗10Let's Chat: Leveraging Chatbot Outreach for Improved Course PerformanceMeyer, Page, Mata et al.Policy & distribution0NBER↗11Task-Specific Technical Change and Comparative AdvantageAlthoff & ReichardtLabor & tasks0NBER↗12The Microstructure of AI DiffusionBonney, Breaux, Dinlersoz, Foster, Haltiwanger & PandeFirms & adoption2NBER↗13The Politics of AIBloom & MakridisPolicy & distribution1NBER↗14Understanding Firms' AI Efforts and Their Economic ImpactTania BabinaFirms & adoption2NBER↗15What Investment Data Implies about the AI TransitionJessica Wachter & Jonathan WachterGrowth & innovation1NBER↗16What Work Does Generative AI Do?Bick, Blandin, Deming & SchumacherLabor & tasks0NBER↗17AI-Powered Trading, Algorithmic Collusion, and Price EfficiencyDou, Goldstein & JiMarkets & competition26NBER↗18Algorithmic Coercion with Faster PricingBrown & MacKayMarkets & competition3NBER↗19Artificial Intelligence and the Labor MarketHampole, Papanikolaou, Schmidt & SeegmillerLabor & tasks77NBER↗20Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?Cheng, Dogan & YildirimLabor & tasks5NBER↗21Artificial Intelligence, Competition, and WelfareAthey & Scott MortonMarkets & competition1NBER↗22Generative AI at WorkBrynjolfsson, Li & RaymondLabor & tasks864QJE↗23Misaligned by Design: Incentive Failures in Machine LearningAutor, Caplin, Martin & MarxMeasurement & methods0NBER↗24Shifting Work Patterns with Generative AIDillon, Jaffe, Immorlica & StantonLabor & tasks22NBER↗25Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AIHumlum & VestergaardLabor & tasks23NBER↗26Technological Disruption in the Labor MarketDeming, Ong & SummersLabor & tasks18NBER↗27Technology and Labor Markets: Past, Present, and FutureLiu, Papanikolaou, Schmidt & SeegmillerLabor & tasks1NBER↗28The Unequal Adoption of ChatGPT Exacerbates Existing Inequalities Among WorkersHumlum & VestergaardLabor & tasks84PNAS↗Coverage note: This is a curated research corpus, not yet an exhaustive or automated database. “Top 5” means regular articles in AER, ReStat, QJE, Econometrica, or JPE; AER Papers & Proceedings and sibling journals are excluded. Working-paper and published versions are sometimes listed separately when they materially changed.
Documentation
Data, coverage, and methodology
This atlas is a research aid rather than a systematic review. Inclusion, field labels, similarity links, proposed open areas, and paper summaries involve judgment. ChatGPT was used in the research and development workflow; each record links to a public source so readers can examine the underlying work.
- 1Quarterly discovery
Search OpenAlex and economics sources including NBER, RePEc, SSRN, and arXiv, then compare candidates with the existing corpus.
- 2Record review
Deduplicate working-paper and journal versions, verify author and publication information, and exclude papers without a substantive economics contribution.
- 3Metadata and summaries
Use Crossref for citation counts and metadata. LLM-assisted summaries are interpretations, not quotations or substitutes for the papers.
- 4Network construction
Connections reflect shared authors, shared concepts, or membership in the same research area. They do not indicate causality or a direct citation relationship.