# Writing Effective Job Descriptions with AI
The average job posting receives 250 applications — but the best candidates often never apply. Research shows that women apply for jobs only when they meet 100% of listed requirements, while men apply at 60%. Minority candidates self-select out when they see culturally coded language they do not identify with. Your job description is not just informing candidates — it is filtering them. The question is whether it is filtering for the right things.
AI helps you write job descriptions that attract qualified candidates instead of repelling them. The key is prompting for clarity, inclusivity, and focus on genuine requirements.
The Job Description Problem
Most job descriptions fail in predictable ways:
- Requirement inflation: "10+ years of experience required" for a role where 5 years is sufficient
- Jargon overload: "Synergize cross-functional deliverables in an agile, fast-paced environment"
- Coded language: "Aggressive," "ninja," "rock star" — terms that research shows discourage women and older candidates
- Kitchen-sink skills: Listing 20 requirements when 8 are actually needed
The Inclusive Job Description Prompt Framework
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What you'll learn:
- Use AI to generate job descriptions that are clear, inclusive, and optimized for attracting qualified candidates
- Apply bias-detection prompting to identify and remove exclusionary language from job postings
- Build job description templates that separate true requirements from preferences to expand the candidate pool