Beyond Microsoft and Monsanto: Denaturing the Monoculture Metaphor in Computing

Paper Title

Beyond Microsoft and Monsanto: Denaturing the Monoculture Metaphor in Computing

Publication Info

• Topic area: The use and implications of the monoculture metaphor in computing and its broader socio-political and economic contexts.
• Keywords: Monoculture, computing, metaphor, power concentration, lock-in, dependency, open source, platform capitalism, AI monoculture.

Background and Problem

• Problem / challenge: The monoculture metaphor in computing has been oversimplified to focus on technical diversity and biological vulnerability, neglecting its historical and political-economic dimensions. This limits the understanding of systemic power, dependency, and lock-in in computing systems.
• Significance: Addressing monocultures in computing is critical to mitigating systemic risks, fostering resilience, and challenging power concentrations that shape technological ecosystems and societal dependencies.
• Motivation and related work: The monoculture metaphor originated in agricultural and ecological contexts, highlighting vulnerabilities and power dynamics. In computing, it has been applied to describe risks from software homogeneity but often neglects the deeper political and economic structures that sustain monocultures. This paper seeks to recover the metaphor’s radical analytical potential.

Solution

• Proposed approach: A re-examination of the monoculture metaphor in computing, integrating insights from agricultural history, political economy, and science and technology studies (STS) to reveal the systemic power dynamics and dependencies it obscures.
• Novelty:
  1. Traces the historical and epistemological roots of the monoculture metaphor and its migration into computing.
  2. Expands the metaphor’s application to include political-economic arrangements, not just technical diversity.
  3. Critiques the limitations of current uses of the metaphor and proposes richer interpretations.
  4. Applies the framework to emerging AI monocultures and their socio-political implications.
• Procedure and key techniques:
  • Historical analysis of monoculture in agriculture and its parallels in computing.
  • Examination of metaphorical frameworks and their epistemological impacts.
  • Case studies of monoculture dynamics in software ecosystems, platform strategies, financial systems, and AI development.
  • Recommendations for rethinking design and governance in human-computer interaction (HCI).

Results

• Concrete findings:
  • Monocultures are not natural but require active maintenance, suppression of alternatives, and systemic lock-in.
  • Computing monocultures manifest through technical homogeneity, engineered dependencies, financial structures, cultural practices, and design paradigms.
  • Emerging AI monocultures, centered on large language models, exemplify unprecedented power concentration and dependency.
• Advantage over baselines:
  • Provides a more comprehensive framework for understanding monocultures as political-economic systems rather than purely technical phenomena.
  • Highlights the inadequacy of focusing solely on technical diversity as a solution.
• Experiments / evaluation:
  • Historical and theoretical analysis supported by case studies (e.g., Microsoft Windows dominance, AWS dependencies, AI development paradigms).
  • Comparative insights from agricultural monocultures and their systemic impacts.
• Limitations and future work:
  • The paper does not provide a full genealogy of the metaphor’s migration across disciplines.
  • Future work could explore more detailed case studies and develop actionable frameworks for resisting monocultures in specific contexts.

Summary

This paper critiques the oversimplified use of the monoculture metaphor in computing, arguing that it obscures deeper political-economic dynamics of power, dependency, and systemic lock-in. By integrating insights from agricultural history and STS, the authors reveal how monocultures are actively constructed and maintained, both in agriculture and computing. The analysis extends to emerging AI monocultures, highlighting their unprecedented risks and power concentrations. The paper calls for rethinking design and governance in HCI to prioritize resilience, contestability, and collective agency, moving beyond technical diversity to address structural and institutional challenges.