55/100

Moderate evidence

GainPublished recordBusinessGood Space

Canaries in the Gold Mine: Early Productivity Gains from Artificial Intelligence Creating Organization Capital

Truvace record
TRV-2026-2510raw data (JSON)
Version
v1Published
First published
Evidence type
Observational studyPreprint, not yet peer reviewed
Sources
1 sourcePeer-reviewed
sha256
1a87c8b95179…check it

Using a new firm-level measure of AI investment based on AI-skilled employment—spanning machine learning through generative and agentic AI—we show that AI investments are associated with productivity growth in recent years, but not over the previous decade. We trace the productivity gains to the accumulation of organization capital that AI helps create: durable firm-specific knowledge acquired through learning-by-doing that enables more efficient production. We build a novel measure of organization capital based…

The gain

In a study of 1,321 U.S. public firms, a one-standard-deviation rise in the growth of a firm's AI-job share over 2018–2024 went with 6.2 percentage points more sales-per-worker growth and 7.5 points more revenue productivity growth, with no gain over 2010–2018.

What this doesn’t fix

AI investment is proxied by AI-skilled hiring, which does not capture firms relying only on off-the-shelf AI tools, and the sample covers U.S. public firms and excludes tech sectors; results are associations in the baseline analysis.

Sources

1 on file
  1. NBER Working Paperdoi:10.3386/w35684
    Peer-reviewed2026-08-01

Cite this record

v1

Truvace Impact Record TRV-2026-2510, v1: “Canaries in the Gold Mine: Early Productivity Gains from Artificial Intelligence Creating Organization Capital.” Truvace, 2026-11-12. /record/TRV-2026-2510 (accessed on the day you copy it). sha256 1a87c8b95179a7d9…

Change history

1 version

Every change made to this record since it was first published, and why. Nothing has changed since it went up.

  1. Publishedv11a87c8b95179…

    Certified into the record

Check this record hasn’t been altered

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2510 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.