AI in recruitment - What actually works vs. what’s hype
Everyone’s slapping “AI” on hiring tools now - but not all of it actually helps early-stage founders. As someone building or scaling a startup in India, it’s key to know where AI genuinely adds value and where it’s just fluff.
Here’s what actually works in AI-powered recruitment:
1. Resume screening and shortlisting
Real value. AI can scan thousands of resumes and rank the ones most relevant to your JD based on skills, experience, and keywords.
- Saves time for early teams without dedicated HR
- Works best when combined with good job description input
2. Auto-generated job descriptions
Works well. AI can create clear, relevant JDs in seconds based on role titles and keywords.
- Helpful for non-HR founders who don’t want to start from scratch
- But human tweaks are still needed for tone and context
3. Candidate ranking and fit scoring
Promising but mixed. Some tools can predict which candidates are more likely to be a fit based on past hiring patterns.
- Useful for initial filtering
- Accuracy depends heavily on your data and feedback loops
4. AI video interviews or bots
Mostly hype for early-stage. These often feel impersonal and generic. Great candidates prefer human touch, especially in India.
- Can help at scale, but risky for first 10–20 hires
- Early hires are about culture, not just automation
5. Personality or culture fit prediction
Still immature. Many tools claim to assess personality via AI, but it's hard to trust this at early scale.
- Better to do real conversations and trial projects
- Use AI for speed, not deep human judgment (yet)
Founders don’t need fancy AI for hiring - they need fast, focused tools that work. Nirnay.io gives you AI where it actually helps: smart resume filtering, JD creation, and ranking - no fluff, just results.