About This Project

Evidence Over Narrative

Society is trying to figure out what AI means for work and the answers keep changing.

For years I’ve wanted a single place that synthesizes what we actually know about AI’s impact on economic opportunity: not the hype, not the doom, but the evidence.

This site started as a way to track how predictions about displacement, wages, adoption, and corporate behavior evolve as new research, data, and real-world evidence emerge. It quickly grew into something more: a resource for simplifying complex economic research on how AI will impact jobs so that anyone — whether you’re a workforce leader, a parent with a college-bound kid, or just someone trying to plan — can engage with this new and unclear future in a clear-headed way.

Explore the visualizations ( job tasks, full economy, predictions ) and explainers ( J-Curve, historical context, demand elasticity, early indicators ) or chat with Gob, our friendly research-backed robot. The goal is to help the people who need it most have a more thoughtful, evidence-grounded response to what’s ahead.

Who’s behind this?

Matt Zieger built this as a personal project...to learn, know how to better advise his kids on what the future will look like for them, and to just maybe help everyone else wrestling with these questions navigate an uncertain new world. While not formally affiliated with his day job, Matt is Chief Program & Partnership Officer at the GitLab Foundation, where he leads the AI for Economic Opportunity Fund and co-founded OpportunityAI.

Matt Zieger started this as a weekend vibe coding project 180 days ago. In total this has cost $1,755.83.

Have ideas? Reach out on LinkedIn or X.

Methodology & Sources

Full documentation of how we collect, weight, combine, and present evidence across every section of the site.

Read the full methodology

Recently Added

BLS Employment Situation: July 2026 (series CES0000000001, LNS14000000)

Research·Added Aug 20, 2026

Labor Automation Forecasting Hub (commentary updated August 10, 2026)

Institutional·Added Aug 20, 2026

Organizational AI Adoption Jumps Six Points

Institutional·Added Aug 20, 2026

Cracks in the AI Thesis (Ramp AI Index, August 2026)

Institutional·Added Aug 20, 2026

Business Formation Statistics, July 2026 (CB26-130)

Research·Added Aug 20, 2026

Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence (August 2026)

Research·Added Aug 13, 2026

Business Trends and Outlook Survey — Biweekly AI Use (cycles 202614–202616)

Research·Aug 13, 2026

Challenger Report: Layoffs Fall, Hiring Picks Up; AI Leads For Fifth Straight Month

Institutional·Added Aug 7, 2026

Generative AI floods and dilutes the market for books

Research·Added Aug 7, 2026

AI's Impact on Labor and Hiring

Institutional·Aug 5, 2026

What is really happening to jobs? Separating AI hype from reality

Research·Added Jul 31, 2026

The AI Buildout and the Economy: Publicly Available Data to Assess AI's Impact

Research·Added Jul 31, 2026

The Impact of AI on the U.S. Labor Market: Early Evidence from Observed Adoption

Institutional·Jul 30, 2026

AI Labor Market Tracker: July 2026

Institutional·Added Jul 29, 2026

Work at the Frontier: How AI is expanding what people do at work

Institutional·Added Jul 27, 2026

Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI

Research·Added Jul 26, 2026

FRED Adds Data About the Adoption of Generative Artificial Intelligence (Real-Time Population Survey, Category 8)

Research·Added Jul 25, 2026

Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy

Research·Added Jul 24, 2026

Stripe Atlas startups in 2025: Year in review

Institutional·Added Jul 24, 2026

Stripe Atlas hits 100,000 all-time incorporations; Q1 2026 +130% Y/Y

Institutional·Added Jul 24, 2026