<p>This article proposes algorithmic survival as a postdigital hidden curriculum of Artificial Intelligence (AI)–mediated work among Philippine business process outsourcing (BPO) staff: the tacit skills, interpretive routines, and adaptive practices through which workers remain employable within workplaces organised by AI systems and opaque performance metrics. The concept is developed through the BPO sector, where a training architecture built around English proficiency and routine service labour is being destabilised as AI absorbs or reorganises these tasks. Methodologically, the article is conceptual and documentary rather than ethnographic. It argues that the sector exhibits a postdigital disjuncture between credentialling and labour. Formal qualifications still regulate access to employment, while the competences required to remain employed emerge through peer networks and everyday encounters with algorithmic management. Algorithmic survival is theorised across five dimensions: dashboard literacy, working with AI suggestions, escalation judgement, affective self-management under automated scrutiny, and collective peer knowledge. Treating the Philippines as a site of Majority World knowledge production rather than merely a recipient of imported technologies, the article offers a framework for rethinking curriculum, assessment, and worker education in the Philippines and in other AI-mediated service economies confronting similar postdigital disjunctures.</p>

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Algorithmic Survival: AI-Mediated Work and the Hidden Curriculum of the Philippine Business Process Outsourcing (BPO) Sector

  • Charles Bodwell

摘要

This article proposes algorithmic survival as a postdigital hidden curriculum of Artificial Intelligence (AI)–mediated work among Philippine business process outsourcing (BPO) staff: the tacit skills, interpretive routines, and adaptive practices through which workers remain employable within workplaces organised by AI systems and opaque performance metrics. The concept is developed through the BPO sector, where a training architecture built around English proficiency and routine service labour is being destabilised as AI absorbs or reorganises these tasks. Methodologically, the article is conceptual and documentary rather than ethnographic. It argues that the sector exhibits a postdigital disjuncture between credentialling and labour. Formal qualifications still regulate access to employment, while the competences required to remain employed emerge through peer networks and everyday encounters with algorithmic management. Algorithmic survival is theorised across five dimensions: dashboard literacy, working with AI suggestions, escalation judgement, affective self-management under automated scrutiny, and collective peer knowledge. Treating the Philippines as a site of Majority World knowledge production rather than merely a recipient of imported technologies, the article offers a framework for rethinking curriculum, assessment, and worker education in the Philippines and in other AI-mediated service economies confronting similar postdigital disjunctures.