arXiv:2607. 05404v1 Announce Type: cross Abstract: Frontier AI's labor-market effects matter to workers, firms, and policymakers, but current evidence generally comes from a handful of high-income economies.
By Arul Murugan, Tom\'as Aguirre, Abhishek Nagaraj, Rishi Bommasani
The paper introduces LiveMacroEval, a live benchmark that tests large language model (LLM) agents’ ability to produce hourly nowcasts for sixteen major U.S. macroeconomic indicators before their official release. It evaluates LLM performance against institutional nowcasts, Bloomberg ECOS consensus, and an auto-ARIMA baseline using a LiveMacro Score linked to announcement-window equity returns and a LiveBetting Score from simulated Polymarket-style trading. Over six months, state-of-the-art LLMs with web search achieved overall accuracy comparable to professional benchmarks, though performance varied across indicators.
By Xinyue Zhao, Ruiyi Zhang, Liqin Ye, Rui Cao, Pengtao Xie, Sudheer Chava
arXiv:2601. 20875v2 Announce Type: replace-cross Abstract: Governments with limited fiscal and administrative capacity need to know which Sustainable Development Goals (SDGs) propagate progress through the goal system and how quickly.
By Md Muhtasim Munif Fahim, Md Jahid Hasan Imran, Md. Naim Molla, Luknath Debnath, Tonmoy Shil, Ehsanul Bashar Pranto, Md Mostafizur Rahman Likhon, Md Shafin Sanyan Saad, Md. Rezaul Karim
arXiv:2607. 26068v1 Announce Type: cross Abstract: Existing AI governance frameworks, including the EU AI Act and NIST AI RMF, address safety, transparency, and accountability but do not operationalize quantitative constraints on macro-socioeconomic stability.
By Sivasathivel Kandasamy
arXiv:2608. 01432v2 Announce Type: replace Abstract: Artificial general intelligence (AGI) may weaken scarcities in labour, expertise, information, and productive capability that underpin established theories of economic value.
By Keyun Ruan
How much could AI revolutionize the economy?
By Jack Clark