# Why shaming AI users harms labor movements Organizing against AI-driven obsolescence requires engagement, not stigma - **Source:** [Technology | The Guardian](https://www.theguardian.com/uk/technology) - **Published:** 2026-09-29 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/a9fee3b0-2245-413b-b666-c1939a8adab8 ## AI's explicit labor replacement goal OpenAI defines AGI as outperforming humans in economically valuable work, while Anthropic's CEO frames AI as a general human labor substitute. The industry's stated objective is creating systems that surpass human capabilities across desk-based jobs. Only physically intensive or legally protected roles would remain secure under this paradigm. ## Counterproductive stigma around AI use While valid concerns exist about AI's environmental impact and labor exploitation, shaming individual users fractures potential opposition. This dynamic mirrors how BP popularized 'carbon footprints' to shift climate blame to consumers. The tech industry benefits when criticism focuses on personal usage rather than systemic change. ## Left's strategic disadvantage 69 US Congress members engage with AI existential risk concepts, while leftist groups often reject AI tools entirely. OpenAI's former futurist notes this abdication creates a generational strategic error. Policy debates become dominated by those understanding the technology's capabilities, regardless of political alignment. ## Real-world competitive consequences Workers using AI tools like Claude Code gain productivity advantages that reshape industries. Policy analysts leveraging AI for public databases demonstrate constructive applications. Abstaining from engagement cedes influence to those actively shaping technological implementation in their preferred direction. ## Organizational models for resistance Initiatives like Irreplaceable.org apply climate movement tactics to AI governance, including planned national walkouts. Successful opposition requires building coalitions that convert anger into political power, rather than individual consumer guilt. The focus must remain on democratizing control over development. ## Historical parallels in labor struggles Current dynamics resemble early industrialization periods when workers organized against mechanization. However, modern AI development occurs at unprecedented speed and scale, with fewer physical production constraints. This demands correspondingly rapid, coordinated response from labor movements. ## Corporate governance challenges AI development remains controlled by unelected tech executives under shareholder pressure. The Trump administration's influence on policy further complicates democratic oversight. Effective regulation requires overcoming the most resourced industry in history through mass mobilization. ## Strategic engagement imperative Winning democratic control over AI requires mastering the technology enough to regulate it effectively. Movements must develop technical literacy while maintaining critical perspectives. The alternative is ceding the future to those currently racing to make human labor obsolete across entire sectors. ## Sources covering this story - https://www.theguardian.com/commentisfree/2026/sep/29/ai-replace-humans — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._