Collection
Beyond usage: what AI actually does
Experiments, payroll data and spending records that measure outcomes, not whether people say they use AI.
Most AI surveys ask whether companies use AI. These reports measure what happens when they do: controlled experiments on productivity, hiring and job data, what companies actually spend, and what goes wrong. Start with the experiments, then the labor data, then the money.
Reading list
- 01Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer ProductivityA randomized trial: experienced developers were slower with AI but believed they were faster.
- 02Does Generative AI Narrow Education-Based Productivity Gaps? Evidence from a Randomized ExperimentAn experiment where AI narrowed the gap between less- and more-educated workers.
- 03The AI Productivity Paradox Report 2025Telemetry from engineering teams: more output per person, no company-level gain.
- 04State of AI Impact in Engineering: Q2 2026 ReportAI writes half the code, but time on new features hasn't moved.
- 05Remote Labor Index: Measuring AI Automation of Remote WorkHow often AI agents can finish real paid freelance projects.
- 06Firm Data on AI (NBER Working Paper 34836)Executives report wide use but little productivity effect so far.
- 07Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial IntelligencePayroll data on early-career workers in AI-exposed jobs.
- 08Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting DataJunior hiring at firms that adopted generative AI.
- 09Tracking the Impact of AI on the Labor MarketA running check on whether AI is reshaping the job mix yet.
- 10Businesses Are Using AI to Transform Work, Not Cut JobsHow many AI-using firms have actually cut or added staff.
- 11A New Look at AI's Impact on Jobs: Firm-Level AI Spending and Workforce AdjustmentFirms that spend most on AI grew headcount faster.
- 12Challenger Report: September Layoff Plans Fall to 43,281; Seasonal Hiring MutedAnnounced US job cuts that employers attribute to AI.
- 132025: The State of Generative AI in the EnterpriseWhere enterprise AI budgets are going.
- 14Ramp AI Index, September 2026: Cracks in the AI Thesis, Part 2Card and invoice data on what businesses actually pay for AI.
- 15The Fifth Annual Domino Enterprise AI ReportWhether returns are keeping pace with spend.
- 16Cost of a Data Breach Report 2026What AI-enabled breaches cost.
- 172026 GenAI Code Security ReportHow often AI-written code passes security tests.
Other collections
11 reportsWhy the adoption numbers disagreeAI adoption is 18% or 90% depending on who you ask. Read these in order to see why.12 reportsAI in professional servicesUtilization, pricing and adoption across consulting, agencies, accounting, law and engineering.7 reportsMid-market AI: what the data saysThe few surveys that include companies with $10M–$1B in revenue.4 reportsMinnesota AILocal data on AI adoption and jobs in Minnesota and the Upper Midwest.14 reportsEvergreen playbooksGuides and frameworks without survey data behind them. Useful when you are ready to act.