Non-Fiction · Digital book

Hired

By Sikho

Job searching used to be a human-to-human negotiation. In 2026 it's an AI-to-AI negotiation, with two humans standing behind the machines hoping something real gets through. Job seekers now use AI to write resumes and prep for interviews; employers now use AI to screen resumes and run interviews. Hired is the field guide for winning that match — not by out-gaming the machines, but by understanding exactly how they work and building unmistakably human signal that survives them. Grounded in current 2026 research (ATS mechanics, ghost-job data, AI interview screening, algorithmic hiring bias litigation, and salary-negotiation science), the book follows three composite job seekers — Priya Nair, a laid-off product manager; Marcus Chen, a laid-off backend engineer; and Denise Okafor, a 52-year-old marketing director navigating algorithmic age bias — through every stage of the modern hiring funnel: getting past the Applicant Tracking System, spotting ghost job postings, surviving AI-run video screens, differentiating a resume in an AI-saturated market, breaking into the hidden job market through networking and referrals, building 'proof objects' that beat claims, understanding your legal rights against algorithmic bias, structured interview preparation, and negotiating the offer. Practical, evidence-based, and unflinching about how hard this search has become — and exactly how to win it anyway.

285 minutes estimated reading

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