Should We Change How We Think About Resumes in the Age of AI?

I’ve been preparing for my first full-time job applications recently, and there's a question came to my mind.

We've always been told that resumes and CVs need to be as concise as possible because HR is too busy to read them thoroughly. This forced us to squeeze experience, projects, and education into a single page, meaning we had to sacrifice the stories that truly define our character, simply because they weren't "directly relevant" to the job description.

But should we continue this rule today?

I recently read about a company testing an AI-powered automatic screening process. The feedback? The AI's analysis was shallow and its perspective far too narrow.

But is this an AI problem, or is it actually a resume problem?

I think the issue isn't that current services, like Gemini, ChatGPT and other LLMs aren't smart enough. It feels like a classic case of "Garbage In, Garbage Out." If we only provide AI with flat, standardized, "concise" resumes, we can only expect a shallow analysis in return.

So, with the rise of AI-assisted recruitment and tools that can handle summarizing, perhaps there's no longer a need to pursue "conciseness." Instead, could we shift toward providing "richer" and more multifaceted information? This would give the AI more comprehensive data to analyze a candidate's traits, which in turn helps HR determine if they are truly a good fit for the role and the company culture.