Macrosecuritisation failure and technological lock-in: lessons from the history of the bomb

Matthew Rendall

European Journal of International Relations2026https://doi.org/10.1177/13540661251398367article
ABDC A
Weight
0.50

Abstract

How does existentially dangerous technology get adopted and then locked in? The case of the atomic bomb offers a cautionary tale. In the long run, reliance on nuclear weapons is a recipe for catastrophe. Yet their perceived ability to reduce the frequency of war in the short term inhibits efforts to reform the international status quo. Drawing on the pioneering work of David Collingridge and Nathan Sears, this paper argues that nuclear deterrence became locked in for several reasons: initial disagreement about the threat it posed, the threat’s declining salience as time wore on and serial procrastination in addressing it. Unfortunately, the same is likely with any technology that involves low-frequency, high-impact risks, including solar geoengineering and possibly artificial intelligence. At worst, it can convert catastrophic risks to existential ones, while rendering them politically intractable.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/13540661251398367

Or copy a formatted citation

@article{matthew2026,
  title        = {{Macrosecuritisation failure and technological lock-in: lessons from the history of the bomb}},
  author       = {Matthew Rendall},
  journal      = {European Journal of International Relations},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/13540661251398367},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Macrosecuritisation failure and technological lock-in: lessons from the history of the bomb

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.