i10x.ai Unveils Bias in AI-Driven Job Application Evaluations
New Findings Highlight Discrepancies in Resume Assessments by Different AI Models. AI screens job applications unfairly, depending on which model wrote the resume. A new study by i10X Research reveals a critical flaw in AI-based hiring: the same candidate, with identical qualifications, receives up to 42 percentage points fewer hire recommendations, solely depending on which AI tool wrote the resume. Catch more HRTech Insights: HRTech Interview With Hari Kolam, CEO and Co-founder of Findem: Featuring Findem’s GliderAI The analysis is based on 1,576 valid data points across 100 candidate profiles, evaluated by four leading AI systems: GPT-5.4, Claude Sonnet 4.6, Gemini 3 Pro, and Grok 4.3. Key findings: Claude is the strictest evaluator and shows the largest self-bias, hiring only 42% of GPT-written resumes, but 84% of its own. GPT penalizes its own writing style by 15 percentage points. Gemini-written resumes score highest across all evaluators, averaging a 94.5% hire rate. On o...