Economic consequences of premature obsolescence in low-code and AI development

Mukhamadiev , Sanjar

Pioneering Studies and Theories · 2026-yil

Annotatsiya

Information systems in the digital economy are increasingly replaced or abandoned within 2-5 years of deployment-far shorter than their intended lifespan. This article investigates premature system obsolescence as an economic problem rooted in algorithmic and data structure decisions made at the design stage. Through a systematic analysis of 24 industry reports and academic sources, we demonstrate that incorrect algorithm selection - particularly in Low-Code/NoCode (LC/NC) platforms and AI-Driven Development (AIDD) environments - is a primary structural cause of performance degradation, technical debt accumulation, and costly system replacement. Our empirical findings show that systems built with O(n²) sorting algorithms degrade to unacceptable performance thresholds within 2.8 years on average, compared to 12.5 years for systems using optimal O(log n) structures. The economic cost differential reaches $4.8M per incident for worstcase algorithm choices vs. $180K for optimal implementations. We argue that LC/NC and AIDD paradigms, while accelerating development speed, systematically eliminate the developer's ability to make informed algorithmic decisions, thereby creating a structural vulnerability that manifests as premature obsolescence. Recommendations for algorithm-aware development frameworks are proposed.

Maqola ma’lumotlari
MualliflarMukhamadiev , Sanjar
JurnalPioneering Studies and Theories
NashriyotХалқаро Нордик университети
ISSN3060-5105, 3060-5105
Nashr sanasi2026-04-06
Jild2
Son2
Betlar120-127
TilIngliz
Ilmiy sohaIqtisodiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

information system obsolescence, algorithm selection, data structure, technical debt, Low-Code/No-Code, AI-driven development, software performance degradation, economic consequences, complexity analysis, system lifecycle

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAMukhamadiev , Sanjar (2026). ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT. Pioneering Studies and Theories, 2(2), 120-127. https://pstjournal.uz/index.php/pst/article/view/120
GOST (OAK)Mukhamadiev , Sanjar ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT // Pioneering Studies and Theories. – 2026. – T. 2, № 2. – P. 120-127.
MLAMukhamadiev , Sanjar. “ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT.” Pioneering Studies and Theories, 2(2), 120-127, 2026. https://pstjournal.uz/index.php/pst/article/view/120
ChicagoMukhamadiev , Sanjar. “ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT.” Pioneering Studies and Theories, 2(2), 120-127 (2026). https://pstjournal.uz/index.php/pst/article/view/120
HarvardMukhamadiev , Sanjar (2026) ‘ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT’, Pioneering Studies and Theories, 2(2), 120-127. https://pstjournal.uz/index.php/pst/article/view/120
BibTeX
@article{mukhamadievsanjar2026,
  title = {ECONOMIC CONSEQUENCES OF PREMATURE OBSOLESCENCE IN LOW-CODE AND AI DEVELOPMENT},
  author = {Mukhamadiev , Sanjar},
  journal = {Pioneering Studies and Theories},
  year = {2026},
  volume = {2},
  number = {2},
  pages = {120-127},
  url = {https://pstjournal.uz/index.php/pst/article/view/120}
}

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