The Future End of Design Work: A Critical Overview of Managerialism, Generative AI, and the Nature of Knowledge Work, and Why Craft Remains Relevant

IF 1.8 2区 社会学 0 HUMANITIES, MULTIDISCIPLINARY She Ji-The Journal of Design Economics and Innovation Pub Date : 2024-12-01 DOI:10.1016/j.sheji.2024.11.002
Rodrigo Hernández-Ramírez , João Batalheiro Ferreira
{"title":"The Future End of Design Work: A Critical Overview of Managerialism, Generative AI, and the Nature of Knowledge Work, and Why Craft Remains Relevant","authors":"Rodrigo Hernández-Ramírez ,&nbsp;João Batalheiro Ferreira","doi":"10.1016/j.sheji.2024.11.002","DOIUrl":null,"url":null,"abstract":"<div><div>This article examines the transformation of design work under the influence of managerialism and the rise of Generative Artificial Intelligence (GenAI). Drawing on John Maynard Keynes’s projections of technological unemployment and the evolving nature of work, it argues that despite advancements in automation, work has not diminished but rather devalued. Design, understood as a type of knowledge work, faces an apparent existential crisis. GenAI grows adept at mimicking the output of creative processes. The article explores how the fear of the end of design work fueled by the rise of GenAI is rooted in a misunderstanding of design work. This misunderstanding is driven by managerialism—an ideology that prioritizes efficiency and quantifiable outcomes over the intrinsic value of work. Managerialism seeks to instrumentalize and automate design, turning it into a controllable procedure to generate quantifiable creative outputs. The article argues why design work cannot be turned into a procedure and automated using GenAI. Advocates of these systems claim they enhance productivity and open new opportunities. However, evidence so far shows that flawed GenAI models produce disappointing outcomes while operating at a significant environmental cost. The article concludes by arguing for a robust theory of design—one that acknowledges the unique ontological and epistemic boundaries of design work and underscores why design cannot be reduced to a procedural output.</div></div>","PeriodicalId":37146,"journal":{"name":"She Ji-The Journal of Design Economics and Innovation","volume":"10 4","pages":"Pages 414-440"},"PeriodicalIF":1.8000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"She Ji-The Journal of Design Economics and Innovation","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405872624000960","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This article examines the transformation of design work under the influence of managerialism and the rise of Generative Artificial Intelligence (GenAI). Drawing on John Maynard Keynes’s projections of technological unemployment and the evolving nature of work, it argues that despite advancements in automation, work has not diminished but rather devalued. Design, understood as a type of knowledge work, faces an apparent existential crisis. GenAI grows adept at mimicking the output of creative processes. The article explores how the fear of the end of design work fueled by the rise of GenAI is rooted in a misunderstanding of design work. This misunderstanding is driven by managerialism—an ideology that prioritizes efficiency and quantifiable outcomes over the intrinsic value of work. Managerialism seeks to instrumentalize and automate design, turning it into a controllable procedure to generate quantifiable creative outputs. The article argues why design work cannot be turned into a procedure and automated using GenAI. Advocates of these systems claim they enhance productivity and open new opportunities. However, evidence so far shows that flawed GenAI models produce disappointing outcomes while operating at a significant environmental cost. The article concludes by arguing for a robust theory of design—one that acknowledges the unique ontological and epistemic boundaries of design work and underscores why design cannot be reduced to a procedural output.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.20
自引率
5.00%
发文量
16
审稿时长
16 weeks
期刊最新文献
Editorial Responsible Use of Large Language Models: An Analogy with the Oxford Tutorial System Ill-Defined Problems in Wicked Learning Environments The Future End of Design Work: A Critical Overview of Managerialism, Generative AI, and the Nature of Knowledge Work, and Why Craft Remains Relevant Dealing with Wicked Problems: Normative Paradigms for Design Thinking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1