Hireability as Rhetoric and the Future of Job Search Design

Hireability emerges through candidates’ documents, platform metrics, network traces, and AI interfaces. This article reports the results of a qualitative platform analysis of 30 public artifacts across LinkedIn, GitHub, TikTok, and six AI-assisted job-search tools identifies four patterns: algorithmic ethos, memetic portfolios, ambient networks, and AI-augmented rhetoric. Findings support data-grounded pedagogies that address inequity, accessibility, authenticity, and the limits of digital evidence, positioning hireability as co-produced by candidates and platforms amid AI-driven recruitment and networked professional identities reshaping twenty-first-century technical communication workplaces.