The Hidden Costs of Coding With Generative AI

Generative AI tools can make developers up to 55% more productive, but rapid deployment creates dangerous technical debt. In brownfield environments with legacy systems, AI-generated code compounds existing problems when it’s deployed by inexperienced developers. To avoid costly system failures, organizations must establish clear guidelines, make technical debt management a priority, and train developers to use AI responsibly.

Authors

Geoff J.M. Parker (ORCID: https://orcid.org/0000-0003-2934-2234)
Edward Anderson
Burcu Tan (ORCID: https://orcid.org/0000-0002-9869-1908)

Publication Details

Journal: MIT Sloan Management Review
Published: 2025-08-18
DOI: https://doi.org/10.63383/hadw7619
Primary Topic: Computability, Logic, AI Algorithms
Type: article
Field-Weighted Citation Impact: 0.00

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article

The Hidden Costs of Coding With Generative AI

Geoff J.M. Parker, Edward Anderson, Burcu Tan

Aug 18, 2025

MIT Sloan Management Review

Computability, Logic, AI Algorithms

article

The Hidden Costs of Coding With Generative AI

Geoff J.M. Parker, Edward Anderson, Burcu Tan

August 18, 2025article en

Abstract

MIT Sloan Management ReviewVol. 67(1)

Openalex Percentile: Top 78%

Computability, Logic, AI Algorithms

DOI Source OpenAlex

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The Hidden Costs of Coding With Generative AI — Geoff J.M. Parker, Edward Anderson, et al. · MIT Sloan Management Review (2025) | TGRS Research Map | TGRS