Analysis: about half of all job seekers are using AI chatbots like ChatGPT and Gemini to assist them in writing CVs, cover letters, and completing assessments
About half of applicants are using tools such as ChatGPT to help write cover letters but without editing the language is ‘clunky’
Context & Ripple Effects
Generative AI was already displacing some marketing and social-media writing, with employers accepting a quality trade-off in some roles; job applications extend that same drafting capability into a high-stakes personal workflow through earlier evidence of AI replacing some content-writing work.
The later hiring coverage shows this adoption developing into an AI arms race between applicants and employers, while reports of AI-driven distrust in recruitment underscore why application assistance is not merely a productivity feature.
First-order effects
- Applicants using ChatGPT and Gemini can produce CVs, cover letters and assessment responses faster, but unedited output risks sounding generic or clunky.
- Recruiters and hiring teams face a larger volume of polished-looking application material whose writing quality is less reliable as a signal of the candidate’s own communication skills.
Second-order effects
- Employers are pushed toward interviews, work samples and assessment designs that test candidates more directly, as text-based submissions become easier to generate at scale.
- Job seekers who edit and personalize AI drafts gain an advantage over those who submit raw output, making practical AI literacy part of the application process.
Third-order effects
- If both sides continue adopting automation, hiring may shift from evaluating polished written applications toward verifying skills, identity and authorship—a pressure visible in later reports of distrust around AI in hiring.
- The broader risk is a more standardized, low-signal application market: AI lowers the cost of applying, but may also raise employers’ screening burden and reward systems that can distinguish genuine candidate capability.
The trend: Generative AI is becoming a default work-surface for consequential consumer workflows, prompting institutions to redesign processes built around human-authored text.