The platform's initial indicators are now available at indicators.stanford.edu, providing regularly refreshed statistics on how AI influences employment trends, productivity gains, and the spread of new tools

The Stanford Digital Economy Lab, part of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), has introduced the AI Economic Indicators, a freely accessible platform to monitor how artificial intelligence is altering employment patterns, output levels, and economic value generation.

The AI Economic Indicators offers frequently refreshed statistics, interactive visual tools, and evidence-based approaches in a single location, supplying decision-makers, analysts, business owners, and employees with resources to interpret this transformative technology.

"We are navigating without clear guidance during a pivotal era for global development. Relying on informal reports or delayed metrics for AI developments is not viable," said Erik Brynjolfsson, Professor at Stanford University and Director of the Stanford Digital Economy Lab (DEL). "Timely and reliable data is essential to identify where AI generates benefits and where it alters job structures."

Addressing limitations

Standard economic measures were not designed for innovations capable of reshaping tasks at a detailed level or providing consumer benefits outside traditional pricing frameworks. This shortfall can result in meaningful changes being overlooked or detected only after significant delays.

The Indicators aims to bridge this shortfall by serving as a convenient repository of selected insights intended to support informed choices by government officials, corporate leaders, and individual professionals.

Initial rollout

The AI Economic Indicators begins with three visual tools, each refreshed at intervals suited to its underlying information sources.

The Canaries Dashboard. Developed in partnership with ADP Research and the Stanford Digital Economy Lab, this tool leverages DEL's access to anonymized ADP payroll records to follow employment results each month. It extends prior analysis from Canaries in the Coal Mine: Six Facts about the Recent Employment Effects of Artificial Intelligence (Brynjolfsson, Chandar, and Chen, 2025), highlighting roles and sectors most exposed to AI as potential precursors to wider shifts in jobs and compensation.

"This collection represents a major advance for understanding the AI-driven economy, supplying economists, executives, and officials with a near-instant perspective on labor transformations that has been missing," said ADP chief economist Dr. Nela Richardson. "Examining the extensive job records from ADP payroll information allows tracking of pay rates, recruitment trends, professional progression, and additional factors to observe technology impacts on employment."

The Takeoff Tracker. This tool examines whether AI progress is altering economic conditions by following indicators inspired by Nobel laureate William D. Nordhaus's work on economic singularity. It converts productivity figures, investment levels, facilities, and related factors into categorized signals based on their indication strength for an AI-fueled economic shift.

The Adoption Monitor. This tool follows AI uptake among individuals and organizations through polls and global information sources. Tracking adoption reveals diffusion patterns and potential locations for upcoming economic changes.

Further tools, data collections, and assessment projects are scheduled for release in upcoming periods.

"This functions as an ongoing, dynamic resource rather than a fixed site. It will continue expanding to address emerging needs," said Christie Ko, executive director at DEL. "The launch content represents only the beginning. Beyond aiding those requiring improved information, the initiative itself will support advanced academic investigations."

About the Stanford Digital Economy Lab

The Stanford Digital Economy Lab is a cross-disciplinary research team examining how digital innovations are changing employment, structures, and economic systems. The Lab's findings assist organizations, officials, learners, and experts in addressing the challenges and opportunities of technological evolution. The Lab operates within the Stanford Institute for Human-Centered AI (HAI) and receives co-sponsorship from the Stanford Institute for Economic Policy Research (SIEPR).

SOURCE Stanford Digital Economy Lab