 The Automation Fallacy: Why AI Doesn’t Function as a Simple “Job Killer”Prashant Singh Yadav Chapter 1 in The AI Competency Paradox, 2026, pp 3-15 from Springer Abstract: Abstract The notion that artificial intelligence (AI) will inevitably lead to mass job displacement is a widely accepted yet fundamentally flawed perspective. This chapter challenges what we term the Automation Fallacy—the oversimplified belief that AI functions primarily as a job killer that will systematically eliminate human work from the bottom up. By examining empirical evidence and contemporary case studies, we demonstrate that AI’s true impact is more nuanced, involving the transformation of work rather than straightforward elimination of jobs. The chapter introduces the AI-Competency Paradox, which reveals how AI disrupts competencies before it disrupts jobs, with the greatest impact on structured, rule-based knowledge work rather than following the presumed bottom-up pattern of displacement. Drawing from case studies including Tesla’s manufacturing automation missteps and Toyota’s successful human-AI integration, we establish that organizations viewing AI as a simple workforce replacement tool consistently underperform those that strategically realign human capabilities. This challenges businesses to reconsider their approach to AI adoption, workforce development, and competitive strategy. Date: 2026 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-11748-9_1 Ordering information: This item can be ordered from DOI: 10.1007/978-3-032-11748-9_1 Access Statistics for this chapter More chapters in Future of Business and Finance from Springer |
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