Generic AI cover letters are easy to spot. They rely on phrases like passionate, hard worker, and great fit without proving anything. A better use of AI is to identify the most relevant experience for the role and build a concise letter around that evidence.
See how moving from vague enthusiasm to specific evidence transforms the impact of a cover letter opening.
I am passionate about this opportunity and believe I would be a great fit.
My background in customer support operations, trend identification, and CRM documentation aligns closely with the role's emphasis on accuracy, proactive problem-solving, and cross-functional coordination.
The stronger version names real skills, connects them to the role's stated priorities, and gives the reader something concrete to evaluate. That's what makes a cover letter worth reading.
Using AI before you understand the job description means the letter won't reflect the actual priorities of the role. Read and analyze first.
Letting the letter become too long or too formal works against you. Hiring managers skim. Concise and direct wins every time.
Failing to sound like a real person with relevant experience is the most common AI tell. Your voice and judgment should come through clearly.
AI can help with structure and phrasing, but the substance should come from your real experience and judgment. A letter that's entirely AI-generated tends to lack the specificity that makes it compelling.
Usually concise is better. Focus on relevance rather than repeating your entire work history. Three to four tight paragraphs is typically enough to make a strong case.
No. A useful cover letter is selective and tied to the specific priorities of the role. Reusing the same letter signals that you haven't done the work to understand what the employer actually needs.
How to Use AI to Write Better Cover Letters