A curated list of AI tools, libraries, and resources transforming how economists conduct research, teach, and analyze policy — from natural language data access to causal machine learning.
Scope: Tools with specific value for economists. General-purpose AI assistants are in the Appendix.
This list is maintained by the OpenEcon team — building open-source infrastructure connecting AI to economics.
- AI-research-setup — New to this? Start here to set up Claude Code and Codex for economics research on macOS and Windows.
- OpenEcon Data — Query 330,000+ economic indicators from FRED, World Bank, IMF, and 10+ sources in plain English. Available as web app, Python API, and MCP server.
- Stata-MCP — Run Stata from VS Code, Cursor, Claude Code, and GitHub Copilot with real-time output, data viewer, and graph display.
- Econ Writing Skill — AI agent skill for writing economics papers, synthesizing 50+ guides by Cochrane, McCloskey, Shapiro, Head, and other leading economists.
- Econ Paper Review Skill — AI referee reports for economics papers: verified comments, editing notes, and a step-by-step revision plan before a real referee sees it.
- Econ Slides Skill — Turn your paper into a professional Beamer talk with a timed speaker script: conference, seminar, job-market, and discussant decks with verified layouts and honest numbers.
- Econ Auto Research — The vision: an economist-directed AI pipeline from research question to working paper, with adversarial self-refereeing. Star to shape the roadmap.
- overleaf-sync-now — Keeps local LaTeX in sync with Overleaf so AI coding agents never edit a stale paper.
- MCP Servers for Economic Data
- Coding Tools for Economists
- Causal Inference and Econometrics
- Simulation, Forecasting and Macro Modeling
- Literature Review and Research Discovery
- Economic Data and Analysis
- Academic Writing and LaTeX
- Document Processing and OCR
- NLP and Sentiment for Economics
- Policy, Labor and Alternative Data
- Finance-Specific AI
- Data Collection Tools
- Papers and Books
- Courses, Conferences and Community
- Appendix: General-Purpose AI
Model Context Protocol (MCP) servers let AI assistants query economic databases directly. Connect Claude, Cursor, or other MCP-compatible tools to live data from FRED, World Bank, IMF, and more.
- Alpha Vantage MCP - Official server for stocks, forex, commodities, and economic indicators.
- BEA MCP Server - Exposes U.S. Bureau of Economic Analysis data including GDP, personal income, and regional accounts.
- BLS MCP Server - Bureau of Labor Statistics data: CPI, unemployment, employment, and wages via BLS API.
- Census MCP Server - Natural language queries for U.S. Census demographic data.
- Data Commons MCP Server - Query Data Commons public statistics from Census, World Bank, WHO, and BLS to ground AI answers.
- ECB MCP Server - Query European Central Bank exchange rates, policy rates, yield curves, and euro-area monetary statistics.
- Eurostat MCP Server - Query Eurostat APIs for EU statistics with dataset search, filtering, and CSV export.
- Financial Datasets MCP - Stock market data including prices, financials, and SEC filings via MCP.
- FRED MCP Server - Access all 800,000+ FRED time series with date filtering and frequency adjustment.
- IMF Data MCP Server - WEO forecasts, balance of payments, and more from the IMF.
- Nasdaq Data Link MCP - Access Nasdaq/Quandl financial and economic datasets.
- OECD MCP Server - Access 5,000+ OECD statistical datasets via SDMX API with prompt templates.
- OpenEcon - Natural language interface to 330,000+ economic indicators across FRED, World Bank, IMF, and more, with CSV, JSON, and DTA export.
- SEC EDGAR MCP - Connects AI assistants to U.S. SEC EDGAR filings, financial statements, and insider-trading data.
- TAM MCP Server - One server, eight sources: Alpha Vantage, BLS, Census, FRED, IMF, Nasdaq, OECD, and World Bank.
- U.S. Census Bureau Data API MCP - Official Census Bureau server connecting AI assistants to demographic, economic, and population statistics.
- UN Comtrade MCP Server - Access UN Comtrade international trade statistics with country and HS commodity code lookup.
- World Bank Data360 MCP - Official World Bank server giving AI agents structured access to Data360 development indicators.
- World Bank MCP Server - Community server for the legacy World Bank Open Data API (the official one is World Bank Data360 MCP above).
Browse the MCP Registry to discover more servers.
- AI-research-setup - Step-by-step guide to setting up Claude Code and Codex for economics research on macOS and Windows.
- Aider - AI pair programming in your terminal with git integration and 260+ LLM support.
- awesome-econ-ai-stuff - Reusable AI skills for economists (SKILL.md standard) covering Stata, Python, and LaTeX workflows.
- Cline - Autonomous coding agent for VS Code with Plan/Act modes and MCP integration.
- Jupyter AI - Official JupyterLab extension with
%%aimagic commands for code generation and explanation. - Jupyter AI Agents - AI agents for JupyterLab with MCP integration for connecting notebooks to FRED, World Bank, and more.
- Marimo - Reactive Python notebook stored as pure .py files with built-in AI assistant.
- opencode - Open-source, provider-agnostic AI coding agent built for the terminal with a TUI.
- Positron IDE - IDE from Posit (makers of RStudio) with native R and Python support and an AI data assistant.
- Stata-MCP - Execute .do/.ado/.mata files from VS Code, Cursor, Claude Code, or GitHub Copilot with real-time output panels, built-in data viewer, and graph display.
Build automated research pipelines — from data collection to analysis to report generation.
- Agno - Open-source Python framework with memory, knowledge, and 100+ toolkits including MCP support.
- AutoGen - Microsoft's multi-agent conversation framework for complex research workflows.
- chatlas - Posit's Python interface for LLMs with streaming, tool calling, and structured output.
- CrewAI - Role-based multi-agent systems for collaborative research workflows.
- DeerFlow - ByteDance's research SuperAgent for long-horizon tasks with sandboxed code execution.
- DSPy - Stanford framework for programmatic LLM optimization — "programming, not prompting."
- Econ Auto Research - Vision stage: an economist-directed research pipeline — identification judgment, pre-specified analysis, and referee-grade self-checking — built on the OpenEcon toolchain.
- ellmer - Tidyverse R package for calling LLM APIs with tool calling and structured data extraction.
- Google ADK - Google's modular multi-agent framework with MCP and A2A protocol support.
- GPT Researcher - Autonomous deep research agent producing cited reports from web sources.
- LangGraph - Stateful agent workflows built on cyclic graphs.
- MetaGPT - Multi-agent framework simulating roles (PM, analyst, engineer) with structured SOPs.
- OpenAI Agents SDK - Lightweight production-ready multi-agent framework with handoffs and guardrails.
- Pydantic AI - Type-safe agent framework with structured input/output, ideal for working with economic data.
- smolagents - Hugging Face's minimalist agent library where agents write actions as Python code.
- The AI Scientist - Sakana AI framework for fully automated research with LaTeX paper generation and automated reviewing.
- awesome-causal-inference - Curated list of causal inference resources, courses, and tools.
- causal-learn - Causal discovery algorithms (PC, FCI, GES) from the PyWhy ecosystem.
- CausalML - Uber's uplift modeling and causal inference with machine learning.
- CausalPy - Bayesian causal inference for quasi-experiments (DiD, synthetic control, RDD) powered by PyMC.
- DoubleML - Chernozhukov et al. (2018) Double/Debiased ML in Python and R.
- DoWhy - End-to-end causal inference: model, identify, estimate, refute.
- EconML - Microsoft/PyWhy library for heterogeneous treatment effects via Double ML and causal forests.
- grf - Generalized Random Forests for heterogeneous treatment effects (Athey, Tibshirani, Wager).
- pyfixest - Fast high-dimensional fixed-effects regression in Python with IV, Poisson, and modern difference-in-differences estimators.
- Causal-Copilot - LLM agent automating end-to-end causal discovery, inference, and reporting from natural-language queries.
- CausalAgent - Multi-agent AI for end-to-end causal inference through conversation.
- CausalFM - Foundation models for causal inference; pre-trained models replace per-problem estimation (ICLR 2026).
- CausalMatch - ByteDance's causal matching engine at industrial scale.
- CausalPFN - Prior-fitted transformer for amortized, in-context ATE and CATE estimation without per-dataset retraining.
- CImpact - Causal impact for time series with frequentist and Bayesian methods.
- contdid - DiD with continuous treatment, by Brantly Callaway.
- diff-diff - Scikit-learn-style difference-in-differences library for Python.
- differences - Python implementation of Callaway and Sant'Anna staggered difference-in-differences with multiple periods and triple differences.
- DoubleLingo - Double ML with LLM-based nuisance models for causal inference on unstructured data.
- moderndid - GPU-accelerated modern DiD with staggered adoption and event studies.
- pysyncon - Python synthetic control suite with classic, augmented, penalized, and robust estimators plus placebo inference.
- Salesforce CausalAI - Causal analysis for time series and tabular data.
- scpi - Synthetic control with prediction intervals for single, multiple, and staggered-adoption units, in R, Python, and Stata.
- TexIV - Extract instrumental variables from text data using ML.
- xtdml - Stata module for double machine learning in static panel models with fixed effects.
- AgentSociety - Large-scale LLM-driven social simulator modeling urban, social, and economic spaces with taxation and banking.
- BeforeIT.jl - Bank of Italy's agent-based macroeconomic model in Julia.
- Concordia - Google DeepMind library for generative agent-based modeling of social, economic, and market interactions.
- EconAgent - LLM agents with personality traits simulating macroeconomic activities (ACL 2024).
- LLM-ABM Survey - Tsinghua's toolkit and survey for LLM agent-based modeling.
- LLM-Economist - Mechanism design with 3–1,000+ LLM agents for optimal taxation research.
- MarS - Microsoft engine simulating financial markets via a generative Large Market Model of order flow.
- Chronos - Amazon's pretrained time series models with Bolt variant for 250x speedup.
- Durbyn.jl - Julia port of R's forecast package.
- emerging-trajectories - LLM-based forecasting of political and economic events.
- Lag-Llama - First open-source foundation model for probabilistic time series forecasting.
- neuralforecast - Neural forecasting models (N-BEATS, NHITS, Transformers) for economic time series.
- Now-Casting.com - Real-time GDP nowcasts for major economies, updated as data releases occur.
- Project Spectrum - BIS/ECB/Bundesbank GenAI for inflation nowcasting, categorizing 34M+ products for CPI.
- statsforecast - Fast statistical forecasting for econometric time series.
- Sundial - Generative time-series foundation models giving probabilistic forecasts via flow matching without discrete tokenization.
- tabpfn-time-series - Zero-shot time-series forecasting that repurposes the TabPFN-v2 tabular foundation model, no training needed.
- TimeGPT - Nixtla's foundation model for time series trained on 100B+ data points.
- TimesFM - Google's decoder-only time series foundation model pre-trained on 400B+ time points.
- TiRex - NX-AI's xLSTM-based zero-shot time-series foundation model topping the GIFT-Eval forecasting leaderboard.
- Toto - Datadog's open-weight time-series foundation model, paired with the 350M-observation BOOM benchmark.
- uni2ts - Unified time series transformer models.
- Axelrod - Iterated Prisoner's Dilemma research with 200+ strategies and tournament simulations.
- Nashpy - Two-player game solver with support enumeration, vertex enumeration, and Lemke-Howson.
- pygambit - Game theory computation for extensive and strategic form games with a Python API.
- Deep Learning for Dynamic Econ - Neural networks to solve DSGE models (course materials).
- econpizza - JAX-based solver for fully nonlinear heterogeneous-agent (HANK) macroeconomic models via automatic differentiation.
- gEconpy - DSGE toolkit in Python.
- MacroModelling.jl - Julia DSGE toolkit.
- OpenSourceEconomics - JAX-compatible DC-EGM, Kalman filters, and econ-project-templates.
- optimagic - Numerical optimization for economists (formerly estimagic).
- alphaXiv - Line-by-line discussion on arXiv papers with AI-powered analysis.
- ASReview - Active learning for systematic reviews, reducing screening time by up to 95% (Nature Machine Intelligence).
- Asta - Ai2's open agentic-science assistant for paper finding, cited literature synthesis, and data analysis.
- Connected Papers - Visual graphs of related papers from a seed paper.
- Consensus - Evidence meter categorizing findings as yes/no/mixed across 200M+ papers.
- Elicit - Research agents synthesizing up to 80 papers into structured briefs from a large literature corpus.
- Inciteful - Free citation network analysis using graph algorithms to find key papers and connections.
- Kosmos - Autonomous AI scientist reading 1,500+ papers per run to synthesize fully cited research reports.
- LangChain Open Deep Research - Open-source configurable deep-research agent producing cited reports across any LLM and search tools.
- Litmaps - Dynamic multi-seed citation mapping with monitored searches and daily alerts for new papers.
- Meta-Mar - Free meta-analysis platform where AI reads PDFs and extracts quantitative outcomes.
- MindMap AI - Turns research papers, PDFs, and notes into structured visual mind maps for literature synthesis.
- OpenAlex - Fully open catalog of scholarly works with a free REST API and semantic search.
- OpenScholar - Retrieval-augmented LM for scientific literature synthesis across 45M+ papers (Nature 2026).
- PaperQA2 - RAG system for question answering and summarization over scientific literature.
- Rayyan - AI screening for systematic reviews with 90% time reduction and PRISMA flowcharts.
- ResearchRabbit - Citation network and semantic similarity discovery rebuilt with Litmaps.
- SciSpace - Deep review with iterative search and Zotero integration across 280M papers.
- Scite - Classifies 1.5B+ citations as supporting or contrasting with AI-driven research rankings.
- Semantic Scholar - AI-powered academic search with citation analysis, TLDR summaries, and free API across 220M+ papers.
- STORM - Stanford's LLM-powered system that researches topics and generates full reports with citations.
- Suppr - AI literature search, document translation, and deep-research reports over PubMed and OpenAlex, with a Zotero plugin.
- Undermind - Autonomously reads hundreds of papers and produces structured reports with timelines and categories.
- Zotero PapersGPT - Zotero AI plugin supporting ChatGPT, Claude, Gemini, and more for PDF chat and summaries.
- Julius AI - Upload datasets and ask questions in natural language; returns charts, regressions, and reports.
- Microsoft Data Formulator - Describe charts in English and get publication-quality output with Python code.
- OpenEcon Data - Query 330,000+ economic indicators from FRED, World Bank, IMF, Comtrade, StatsCan, Eurostat, BIS, and more in plain English. Export to CSV, JSON, DTA, or Python. Try it | GitHub
- fedfred - Modern Python client for the FRED API at scale.
- FRED API v2 - Bulk retrieval of all series in any release across 800,000+ time series.
- FXMacroData - API and MCP server for macroeconomic releases, calendars, FX, commodities, and bond yields, queryable in plain English.
- Global Macro Database - Open-source macro dataset covering 241 countries, 1086–2024, from contemporary and historical sources.
- Trading Economics API - 300,000+ indicators from 196 countries with Python and R packages.
- AI Research Feedback - Claude Code skills giving multi-agent referee-style feedback on economics papers before submission.
- Econ Paper Review Skill - Agent skill producing tough, fair referee reports on economics papers — verified comments, editing notes, and a revision plan. Works with Claude Code and OpenAI Codex.
- Econ Slides Skill - Agent skill turning a paper into a professional Beamer talk plus a timed speaker script — conference, seminar, job-market, and discussant decks with compile-and-render verification. Works with Claude Code and OpenAI Codex.
- Econ Writing Skill - Agent skill for writing economics papers, synthesizing 50+ guides by Cochrane, McCloskey, Shapiro, Head, and others. Works with Claude Code and OpenAI Codex.
- OpenAI Prism - Free LaTeX workspace with citation management, Zotero sync, sketch-to-equation, and real-time collaboration.
- Overleaf AI Assist - LaTeX error fixing, table generation, and equation generation from prompts or images.
- overleaf-sync-now - Keeps local LaTeX in sync with Overleaf so AI coding agents never edit a stale paper.
- Paperpal - Academic writing assistant on Overleaf, Google Docs, and Chrome.
- Refine.ink - AI referee generating peer-review-quality feedback on academic papers, piloting with top economics journals.
- Rigorous - Open-source AI pre-submission peer review generating referee-style manuscript feedback using your own LLM keys.
- Thesify - AI reviewer evaluating argumentation, methodology, and rigor.
- Typst - Modern LaTeX alternative with dramatically simpler syntax and sub-second compilation.
- Underleaf - Chrome extension for image-to-LaTeX and smart citation generation.
- DeepSeek-OCR - Open-weight vision model converting document images to Markdown with formula and table recognition.
- Docling - IBM open-source document parser with 0.97 table recognition accuracy.
- eScriptorium - Open-source platform for segmenting, transcribing, and OCR-ing historical and handwritten manuscripts.
- Marker - PDF to Markdown/JSON at 122 pages/sec with multi-page table merging.
- Mathpix - Screenshot-to-LaTeX OCR for equations, tables, and diagrams with PDF-to-Overleaf conversion.
- MinerU - PDF, web, and e-book content extraction with OCR for 84 languages.
- Mistral OCR 3 - Costs $1–2 per 1,000 pages with support for cursive, complex tables, and low DPI.
- OlmOCR - Allen AI's fully open-source OCR with SOTA accuracy on tables, equations, and handwriting.
- PaddleOCR-VL - Vision-language OCR extracting layout, formulas, and structured tables from documents across many languages.
- Pix2Text - Open-source tool recognizing layouts, tables, and math formulas in images, exporting LaTeX and Markdown.
- Surya - Open-source OCR toolkit for 90+ languages with layout, reading-order, and table recognition.
- Transkribus - Handwritten historical document transcription with 140+ AI models in 100+ languages.
- CentralBankRoBERTa - Fine-tuned RoBERTa for sentiment classification in central bank communications.
- EconBERTa - World Bank DeBERTa trained on 9.4B tokens from 1.5M economics papers with NER.
- FinBERT - Fine-tuned BERT for financial sentiment, widely cited in economics and finance research.
- FinSentGPT - Fine-tuned ChatGPT for multilingual financial sentiment, tested on ECB Monetary Policy Decisions.
- FinVADER - VADER updated with financial lexicons.
- GABRIEL - OpenAI toolkit turning text, images, or audio into quantitative measures for social scientists.
- Llama-3.1-Hawkish-8B - Llama-3.1-8B fine-tuned for financial NLP, including hawkish/dovish classification of Fed communications.
- SentiBigNomics - Sentiment analysis designed for economic text with aspect-based and negation handling.
- WorldCentralBanks - Annotated corpus and per-bank models classifying monetary policy stance in central bank communications worldwide.
- EUROMOD - EU tax-benefit microsimulation covering all 27 member states (open-source, EUPL-1.2).
- ImpactAI - World Bank DIME tool synthesizing RCT evidence with effect sizes across interventions.
- OpenFisca - Open-source microsimulation engine for computing taxes and benefits on population data.
- Plural Policy - AI bill summarizer with version comparison and momentum indicators across U.S. jurisdictions.
- PolicyEngine - Open-source U.S. tax-benefit microsimulation.
- Anthropic Economic Index - Open dataset and recurring reports mapping which economic tasks and occupations people use AI for.
- Lightcast - 2.5B job postings, 800M profiles, and 160+ countries with AI skills taxonomy.
- LinkedIn Economic Graph - Labor trends, skills migration, and talent matching data for academic researchers.
- Revelio Labs - 100M+ employment records with academic access via WRDS.
- CARTO - AI agents that reason with spatial data via natural language.
- Clay Foundation Model - Open foundation model for Earth observation generating embeddings from global multi-sensor satellite imagery.
- FlyPix AI - No-code custom AI models on satellite and drone imagery for economic measurement.
- Neudata - Alternative data intelligence cataloging thousands of non-traditional data sources.
- Overture Maps - Open global geospatial data of places, buildings, addresses, and transportation, released monthly.
- Stanford Satellite + AI - HDI for 61,530 municipalities from satellite imagery (Nature Communications, 2026).
- ai-hedge-fund - Educational multi-agent system mimicking famous investors to research stocks and propose trading decisions.
- awesome-quant - Curated quantitative finance resources.
- Dexter - Autonomous financial research agent with task planning and real-time data.
- Fin-R1 - Financial reasoning LLM by Shanghai University of Finance and Economics.
- FinGPT - Open-source financial LLMs for sentiment, forecasting, and reports.
- FinRobot - AI agent platform for financial analysis combining LLMs, RL, and quantitative methods.
- Open Financial LLM Leaderboard - Public leaderboard benchmarking LLMs across financial NLP, question answering, and forecasting tasks.
- OpenBB - Open-source financial research platform with AI copilot and economic data integration.
- TradingAgents - Multi-agent LLM framework simulating analyst, researcher, trader, and risk-manager roles for trading decisions.
- Crawl4AI - Open-source web crawler producing LLM-ready markdown for RAG and data pipelines.
- Crawlee - Open-source crawling and scraping library that extracts web data for AI, LLM, and RAG pipelines.
- Firecrawl - Webpages to structured markdown with AI extraction endpoint.
- Kadoa - No-code AI extraction for financial and economic data.
- ScrapeGraphAI - LLM-powered scraping that adapts to website changes automatically.
- Anthropic Interviewer - AI-conducted adaptive qualitative interviews at scale across 159 countries.
- ATLAS.ti - AI-powered qualitative coding reducing manual effort by 90%.
- Conveo - AI video interviews with multimodal analysis at scale.
- Outset AI - Hundreds of AI-moderated interviews simultaneously in 40+ languages.
- TheySaid - AI-moderated surveys with conversational follow-ups.
Warning: Nature reports AI chatbots infiltrating online surveys. Implement detection for MTurk/Prolific studies.
- Gretel - Synthetic data with differential privacy (acquired by NVIDIA in 2025). Open-source library (archived).
- MOSTLY AI - High-fidelity synthetic datasets with GDPR/HIPAA compliance.
- SDV - Open-source synthetic data generation with CTGAN, CopulaGAN, and GaussianCopula models.
- Synthcity - Generates and benchmarks synthetic tabular, time-series, and survival data with privacy and fairness metrics.
| Paper | Authors | Venue |
|---|---|---|
| Generative AI for Economic Research | Korinek (2023) | JEL |
| AI Agents for Economic Research | Korinek (2025) | NBER |
| Deep Learning for Economists | Dell (2025) | JEL |
| DiD Causal Forests | Gavrilova et al. (2025) | J. Applied Econometrics |
| Economics in the Age of Algorithms | Mullainathan (2025) | AEA P&P |
| Generative AI at Work | Brynjolfsson, Li, Raymond (2025) | QJE |
| How People Use ChatGPT | Chatterji et al. (2025) | NBER |
| A Research Agenda for the Economics of Transformative AI | Brynjolfsson, Korinek, Agrawal (2026) | NBER |
| LLMs: An Applied Econometric Framework | Ludwig, Mullainathan, Rambachan (2025) | NBER |
| ML Who to Nudge | Athey, Keleher, Spiess (2025) | J. Econometrics |
| The Simple Macroeconomics of AI | Acemoglu (2025) | Economic Policy |
| A.I. and Our Economic Future | Jones (2026) | NBER |
| AI in Economics Research | Bahoo et al. (2025) | J. Economic Surveys |
| Teaching Economics to the Machines | Chen et al. (2026) | NBER |
- Deep Learning for Economists - Melissa Dell, JEL 2025 with companion Jupyter notebooks.
- The Means of Prediction - Maximilian Kasy on how AI works and who benefits (UChicago Press, 2025).
- The Scaling Era - Dwarkesh Patel's oral history from Amodei, Hassabis, and Zuckerberg interviews.
- AI for Economists - Jesse Lastunen's prompt-focused templates.
- AI Tools for Economists and Policy Analysts - Will Rinehart's (AEI) regularly updated guide mapping AI tools and prompts to economics and policy tasks.
- Claude Blattman - Chris Blattman's (UChicago) open-source guide to AI research workflows with Claude Code, no coding required.
- Claude Code Academic Workflow - Pedro Sant'Anna's (Emory) ready-to-fork Claude Code template for economics research and teaching.
- Data Analysis with AI v2.0 - Gabor Bekes, CEU Vienna (2026). 12-week course covering LLMs for IV, DiD, and simulations.
- EconDL - Melissa Dell's Jupyter notebooks for deep learning in economics.
- Economics of Transformative AI - Stanford course with slides and exercises.
- genaiforecon.org - Korinek's companion site with semi-annual updates on tools and techniques.
- How to Learn and Teach Economics with LLMs - Cowen and Tabarrok's (GMU) practical guide to using GPT for learning, teaching, and researching economics.
- ML and Causal Inference - Susan Athey, Stanford GSB.
- ML and Economics at Oxford - Maximilian Kasy's reading group.
- Modern AI for Economics Research - Markus' Academy talk by Benjamin Golub on Cursor, AI refereeing, and prompting for research.
- Reflections on Vibe Researching - Joshua Gans (Toronto) on where LLMs aid theory work and where human judgment stays essential.
- Research in the Time of AI - Paul Goldsmith-Pinkham (Yale) on where AI compresses the research timeline and where taste matters.
- The Economics of AI - Korinek, UVA on Coursera.
- Using AI in Research and Teaching - Paul Goldsmith-Pinkham, Yale SOM.
- ESIF Economics and AI+ML - Econometric Society, Cornell, June 2026.
- IESE Economics of AI - Barcelona, February 2026.
- NBER AI and Economic Measurement - Stanford, May 2026.
- NBER Digital Economics and AI - Spring 2026.
- NBER Economics of AI - Long-running Economics of AI conference, Toronto, September 2026.
Newsletters: genaiforecon (Korinek) | Causal Inference (Cunningham) | Autonomous Econ (Wong) | One Useful Thing (Mollick) | paulgp (Goldsmith-Pinkham) | Frankly, the Counterfactual (IU O'Neill)
Podcasts: Dwarkesh Podcast | Exponential View
People: Anton Korinek | Scott Cunningham | Erik Brynjolfsson | Antonio Mele | Melissa Dell | Sendhil Mullainathan
Institutions: NBER AI | Stanford DEL | OECD.AI | World Bank ImpactAI | EconTAI
Widely known tools listed for completeness with notes on what economists specifically value.
| Tool | Best For (Economists) |
|---|---|
| ChatGPT | Deep Research mode for analyst-grade reports from 500+ sources |
| Claude | Coding (Stata, R, Python), long document analysis (200K context) |
| Claude Code | Agentic terminal coding with MCP integration for Stata and economic data |
| Cursor | AI-native code editor with Background Agents |
| DeepSeek R1 | Open-source (MIT), self-hostable for data privacy |
| Gemini | Writing, visual reports, Google Workspace integration |
| GitHub Copilot | Agent Mode with RStudio integration |
| NotebookLM | Document synthesis, Audio Overviews, 1M token context |
| OpenAI Codex | Parallel task execution with reusable agent skills |
| Perplexity AI | Academic Focus mode filtering for peer-reviewed journals |
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