Let's Finally Ditch Motivation Letters
The author argues that motivation letters for job applications are largely ineffective and often filled with generic, uninformative content. Instead of providing genuine insights into why a candidate is suitable for a role, these letters tend to offer platitudes and boilerplate responses. The problem is exacerbated by the increasing use of Artificial Intelligence, which can generate these standardized texts even more efficiently. This reliance on AI further dilutes any potential for authentic self-expression or unique qualifications to shine through. The core issue is that the format itself encourages superficiality rather than substantive answers to the fundamental question: 'Why are you the right person for this job?' The author suggests that the current system prioritizes a formulaic approach over genuine assessment of a candidate's fit and potential contributions.
The proliferation of AI-generated content in application processes, exemplified by motivation letters, highlights a tension between efficiency and authenticity. While AI can rapidly produce standardized text, it risks homogenizing candidate pools and obscuring genuine individual merit. This trend may necessitate a re-evaluation of recruitment strategies, potentially shifting focus towards more dynamic assessment methods that are less susceptible to AI manipulation. Over time, organizations may need to develop more sophisticated vetting processes that can discern authentic skills and cultural fit beyond easily replicable written statements, adapting to a future where AI can mimic human expression with increasing fidelity.
AI-generated to prompt reflection — not editorial opinion, not advice, not a statement of fact. How this works.