Agentic AI Labs Multiply Research Output

Small, distributed teams equipped with agentic AI (coding/analysis agents) can run end‑to‑end research pipelines—replicating studies, reanalyzing datasets, drafting policy memos, and building forecasting systems—far faster than traditional labs. This model scales research capacity by combining low-cost AI subscriptions, global junior fellows, and automated pipelines. — If widely adopted, this model will reshape who produces public knowledge, how fast policy‑relevant evidence appears, and what institutions (journals, funders, universities) must do to certify and govern research.