Llm Assisted Economic Productivity: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Llm Assisted Economic Productivity (2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Llm Assisted Economic Productivity in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Scaling Laws for Economic Productivity: Experimental Evidence in LLM‑Assisted Consulting, Data Analyst, and Management Tasks

Authors: Ali Merali

Year: 2025

Published in: ArXiv

Institution: Yale University

Research Area: LLM-Assisted Economic Productivity, Consulting, Data Analysis

Discipline: Economics, Artificial Intelligence

The paper identifies scaling laws linking LLM training compute to professional productivity gains, showing an 8% annual reduction in task time influenced by both compute and algorithmic advances, but with uneven impacts across task types.

Methods: A preregistered experiment involving professional tasks completed by consultants, data analysts, and managers using 13 different LLMs.

Key Findings: Economic productivity impacts of LLMs in professional settings, time savings across task categories, and contribution of compute versus algorithmic progress.

Citations: 1

Sample Size: 500