AI-driven hiring tools are transforming the way résumés are evaluated, with algorithms scanning for specific keywords, structures, and details to decide who gets noticed. While these systems can streamline hiring processes, they also pose challenges for job seekers who don’t tailor their résumés effectively. Understanding what AI wants in a résumé can make all the difference in whether you get past the filters and into the hands of a recruiter.
Résumé Experience Section: Bad Vs. Good
Bad Example Of Job Experience When Submitting A Résumé Scanned By AI
Administrative Assistant, XYZ Corp.
- Handled daily office tasks.
- Managed communication between teams.
- Assisted with scheduling.
This example is vague, lacks measurable outcomes, and omits the keywords that align with job descriptions, reducing its chances of being flagged by AI systems.
Good Example Of Job Experience When Submitting A Résumé Scanned By AI
Administrative Assistant, XYZ Corp.
- Oversaw daily operations, reducing processing time by 15% through improved scheduling workflows.
- Coordinated cross-departmental communications, fostering collaboration among five teams.
- Managed executive calendars and arranged meetings using Outlook and Google Workspace.
This version includes specific keywords like “scheduling workflows” and measurable achievements that demonstrate value while aligning with job requirements.
Résumé Education Section: Bad Vs. Good
Bad Example Of Education Experience When Submitting A Résumé Scanned By AI
Bachelor’s Degree in Business, Generic University
This entry lacks details about coursework or accomplishments that would align with a potential job description.
Good Example Of Education Experience When Submitting A Résumé Scanned By AI
Bachelor of Science in Business Administration, Generic University (Graduated 2023)
- Relevant Coursework: Human Resource Management, Organizational Behavior, Advanced Excel for Business Analytics.
- Capstone Project: Led a team of four in designing a recruitment strategy that improved hiring efficiency by 20%.
The improved version uses keywords like “Human Resource Management” and provides specific examples of accomplishments that resonate with AI screening systems.
Résumé Skills Section: Bad Vs. Good
Bad Example Of Skills Section When Submitting A Résumé Scanned By AI
- Communication
- Organization
- Microsoft Office
This skills list is overly generic and doesn’t highlight job-specific tools or competencies that AI systems prioritize.
Good Example Of Skills Section When Submitting A Résumé Scanned By AI
- HRIS platforms (Workday, BambooHR)
- Advanced Excel (pivot tables, macros)
- Project Management (Asana, Trello)
- Employee Onboarding and Training
This version highlights relevant technical tools and skills that are more likely to match the job description and catch the AI’s attention.
Résumé Formatting: Bad Vs. Good
Bad Example Of Formatting When Submitting A Résumé Scanned By AI
Résumés with graphics, tables, and unconventional fonts are problematic. Many AI systems struggle to read complex layouts, which could cause important information to be missed.
Good Example Of Formatting When Submitting A Résumé Scanned By AI
A clean, text-based résumé with a standard format (e.g., reverse chronological order, bullet points, consistent fonts like Arial or Times New Roman) is best. Simple, structured formatting ensures that AI systems can scan and interpret your résumé without any issues.
Top Tips For AI-Friendly Résumés
Use keywords from job descriptions by tailoring your résumé to include the exact phrases and terms used. For example, if the job mentions “HRIS management,” use that exact phrase rather than a variation like “HR systems.” Quantify achievements whenever possible, such as “increased sales by 25%” or “reduced costs by $10,000 annually.” Avoid excessive jargon, as overloading your résumé with buzzwords can make it appear unnatural and could still get flagged by AI. Stick to bullet points and a clear structure. Avoid using images, columns, and excessive formatting. Customize your résumé for every job application, as AI systems rank résumés higher when they directly reflect the job description.
Conclusion: What AI Wants In A Résumé
What AI wants in a résumé is clarity, relevance, and alignment with job descriptions. By including specific keywords, measurable outcomes, and straightforward formatting, you can significantly improve your chances of getting noticed. Tailoring your résumé to meet the expectations of AI systems isn’t just about getting past the algorithms; it’s about showcasing why you’re the perfect candidate for the role. In a competitive job market, understanding what AI wants can make all the difference.