CoChat
Sign Up
Cited by 345Economic Growth and ProductivityFirm Innovation and GrowthImpact of AI and Big Data on Business and Society

The DOI matches its Crossref record; 81 of the 84 references it cites were found in a registry or an index.

The impact of artificial intelligence on labor productivity

Open access
Damioli, Giacomo, Van Roy, Vincent, Vertesy, Daniel·2021·Eurasian Business Review
DOI 10.1007/s40821-020-00172-8
Open this paper in CoChat — free account

Abstract

Abstract Recent evidence indicates an upsurge in artificial intelligence and robotics (AI) patenting activities in the latest years, suggesting that solutions based on AI technologies might have started to exert an effect on the economy. We test this hypothesis using a worldwide sample of 5257 companies having filed at least a patent related to the field of AI between 2000 and 2016. Our analysis shows that, once controlling for other patenting activities, AI patent applications generate an extra-positive effect on companies’ labor productivity. The effect concentrates on SMEs and services industries, suggesting that the ability to quickly readjust and introduce AI-based applications in the production process is an important determinant of the impact of AI observed to date.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s40821-020-00172-8

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 84 references

Research works printed but not linked: 8

  1. Bianchini, S., Millot, V., & Sorbe, S. (2020a). Artificial intelligence technologies and firm-level productivity: Preliminary evidence. Mimeo.
  2. Bianchini, S., Muller, M., & Pelletier, P. (2020b). Deep learning in science. arXiv:2009.01575v2. · arXiv
  3. Commission, E. (2016). Analysis of the impact of robotic systems on employment in the European Union. Luxembourg: Publications Office of the European Union.
  4. Ertel, W. (2018). Introduction to artificial intelligence: Undergraduate topics in computer science. New-York: Springer International Publishing.
  5. European Commission (2003). Commission recommendation of 6 May 2003 concerning the definition of micro, small and medium-sized enterprises. Official Journal of European Union, L124/36.
  6. Ernst, H. (1995). Patenting strategies in the German mechanical engineering industry and their relationship to firm performance. Technovation, 15(225), 240.
  7. Solow, R. (1987). We'd better watch out, New York Times Book Review, July 12, p. 36.
  8. WIPO. (2019). WIPO Technology Trends 2019: Artificial Intelligence. Geneva: World Intellectual Property Organization.

Cited by

Sorted by citations

Items 301–344 of 344

Related

See all

Metadata

Authors
Damioli, G., Van Roy, V., & Vertesy, D.
Affiliations
Joint Research Centre (IT)
Corresponding author
Damioli, Giacomo
ORCID
Damioli, Giacomo
Venue
Eurasian Business Review
Publisher
Springer Science and Business Media LLC
Published
2021-01-21
Volume
11
Issue
1
Pages
1-25
ISSN
  • 1309-422X (ISSN-L)
  • 1309-4297
  • 2147-4281
DOI
10.1007/s40821-020-00172-8
OpenAlex
W3124534840
Cited by
345
References
84
Citations by year
2026: 87 · 2025: 112 · 2024: 76 · 2023: 40 · 2022: 22 · 2021: 8
FWCI
27.82
Type
journal article
Language
en
Open access
Licence
Locations
  • Eurasian economic review : (publishedVersion, cc-by)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders
Horizon 2020 Framework Programme (857088)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
artificial intelligence, labor productivity, AI patents, robotics, firm productivity, small and medium-sized enterprises, service sector, technology adoption, patent activity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review