Cited by 698Economic Development and Digital TransformationHistorical Economic and Social StudiesEconomic Growth and Productivity

The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?

Mokyr, Joel, Vickers, Chris, Ziebarth, Nicolas L.·2015·Journal of Economic Perspectives

Abstract

Technology is widely considered the main source of economic progress, but it has also generated cultural anxiety throughout history. The developed world is now suffering from another bout of such angst. Anxieties over technology can take on several forms, and we focus on three of the most prominent concerns. First, there is the concern that technological progress will cause widespread substitution of machines for labor, which in turn could lead to technological unemployment and a further increase in inequality in the short run, even if the long-run effects are beneficial. Second, there has been anxiety over the moral implications of technological process for human welfare, broadly defined. While, during the Industrial Revolution, the worry was about the dehumanizing effects of work, in modern times, perhaps the greater fear is a world where the elimination of work itself is the source of dehumanization. A third concern cuts in the opposite direction, suggesting that the epoch of major technological progress is behind us. Understanding the history of technological anxiety provides perspective on whether this time is truly different. We consider the role of these three anxieties among economists, primarily focusing on the historical period from the late 18th to the early 20th century, and then compare the historical and current manifestations of these three concerns.

Integrity signals

Registry

Crossref · 10.1257/jep.29.3.31

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • The handloom weavers and frame knitters with their little workshops were quite rapidly wiped out by factories after 1815.

    “the handloom weavers and frame knitters with their little workshops were quite rapidly wiped out by factories after 1815”

    From Applying AI to Rebuild Middle Class Jobs (2024) · cites this paper as Mokyr et al., 2015

Cited by

Sorted by citations

Authors
Mokyr, J., Vickers, C., & Ziebarth, N. L.
Affiliations
  • Northwestern University (US)
  • Auburn University (US)
  • University of Iowa (US)
Venue
Journal of Economic Perspectives
Published
2015-08-01
Volume
29
Issue
3
Pages
31-50
ISSN
0895-3309 (ISSN-L)
OpenAlex
W1950752004
Cited by
698
References
0
Citations by year
2026: 56 · 2025: 67 · 2024: 91 · 2023: 53 · 2022: 85 · 2021: 68 · 2020: 59 · 2019: 59 · 2018: 57 · 2017: 42 · 2016: 54 · 2015: 5 · 2014: 1
FWCI
144.23
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Economic Perspectives (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Economic Development and Digital Transformation
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Historical Economic and Social Studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Keywords
technology anxiety, economic growth, technological unemployment, inequality, dehumanization, Industrial Revolution, history of economic thought, future of work, technological progress

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