We asked experts how to build a resume for the AI hiring era
The Verge
February 26, 2026
AI-Generated Deep Dive Summary
The rise of AI-driven hiring tools has transformed the way resumes are evaluated, prompting job seekers to rethink how they present themselves to these systems. Experts from leading platforms like Indeed, LinkedIn, and Glassdoor, as well as author Hilke Schellmann, emphasize that the key to optimizing a resume for AI is focusing on relevance, clarity, and quality of content rather than merely chasing keywords or employing overly complex formatting. The goal is to create a resume that not only aligns with human expectations but also resonates with the algorithms designed to assess it.
For tech-savvy readers, understanding how AI parses resumes is particularly crucial, as many companies now use machine learning models to screen applications for specific skills and qualifications. These systems prioritize job-specific language and measurable achievements, which make it easier for AI tools to identify candidates who are a strong match for the role. Overloading a resume with generic buzzwords or irrelevant information can actually hinder its chances of passing through these filters.
Experts recommend tailoring resumes to each job description by incorporating industry-specific keywords and showcasing quantifiable results that demonstrate competence. Simple, clean layouts with clear headings and bullet points are also more likely to be read effectively by AI systems, which often skim resumes for specific data points. Additionally, avoiding overly creative or visually elaborate designs ensures that the resume remains accessible to different parsing tools.
Ultimately, while AI hiring tools aim to streamline the application process, they still require candidates to present their qualifications in a way that is both human-readable and algorithm-friendly. By focusing on substance over style and ensuring their resumes highlight their most relevant skills and experiences, job seekers can position themselves as strong contenders in an increasingly automated hiring landscape.
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Originally published on The Verge on 2/26/2026