Artificial intelligence has unquestionably changed résumé writing. It can organize information, suggest stronger language, identify repetitive wording, compare a résumé with a job description, and present familiar information from a different perspective. Used judiciously, it can be an impressive writing and research tool.
But there is an important distinction between working with information and discovering information.
AI can work remarkably well with what we give it. Still, it cannot know what we have forgotten, undervalued, or are simply unable to articulate. That distinction becomes enormously important in résumé writing.
Most of my clients do not easily think in terms of professional accomplishments. They know what they do, but they cannot always make the connection between what they do, its value, and its impact on projects and organizations.
They may remember that they managed a department but not readily verbalize their influence on the team under their charge. They may characterize themselves as troubleshooters or problem solvers without recognizing how those abilities translated into tangible achievements such as effecting business turnarounds, penetrating new markets, redesigning operational processes, improving quality, reducing costs, or increasing productivity.
I have often found that even highly gifted and talented professionals undersell themselves and underthink what they have actually accomplished.
That is where the collaborative interview becomes a critical catalyst in helping them tell their story.
If AI simply makes up the missing pieces, it may produce impressive fiction, but it will not produce an authentic characterization of the professional behind the résumé. Writing in the absence of discovery cannot fully differentiate an individual or present that person as distinctly as he or she deserves to be presented.
AI can ask questions, but asking questions and making meaningful human discoveries are not necessarily the same thing. It cannot know from the information supplied what a client has forgotten, minimized, failed to recognize, or casually dismissed as insignificant.
After preparing 12,000+ résumés, I have repeatedly found that some of the most valuable information emerges only through the interview process—asking questions that provoke thought, awaken memory, and bring a client’s story to life.
AI cannot independently remember an achievement its user has forgotten. It cannot see the hesitation in a client who says, “Oh, that really wasn’t anything,” when in fact it was quite something. It cannot instinctively recognize that the accomplishment being casually dismissed may be precisely what differentiates that individual from competing candidates.
Nor can technology completely replace judgment.
A résumé is not improved simply by making every sentence sound more impressive. Overselling can be every bit as detrimental as underselling. The art lies in discovering what is genuinely valuable and presenting it with confidence, accuracy, perspective, and restraint.
AI can certainly assist in that process. I use technology and appreciate what it can do. But I believe the strongest résumé begins in the collaborative writing process. It begins with the story behind the résumé.
Career history is as individual as a fingerprint. Technology may help us organize, refine, and articulate that history, but the questions, reflection, collaboration, and human insight that uncover its most valuable pieces remain profoundly important.
AI can help us say something better. The greater challenge is discovering what needs to be said.
That is precisely where a collaborative and insightful résumé writer can discover, synthesize, and articulate who you are—and transform the raw material of a career into a distinctive professional presentation rather than merely an AI-generated document.
