When Everyone Uses AI, Everyone Sounds the Same

15 Jul 2026 · 1 min

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1:04

In this talk, Sandy Carter observes that the widespread adoption of AI for resume writing is causing job applications to become increasingly homogeneous, with many candidates submitting near‑identical documents to the same platforms. She warns that this uniformity will make it harder for individual applicants to stand out, especially when recruiters must sift through pools of 800‑1,000 candidates per opening. Carter argues that the decisive factor for future hiring will shift from monetary resources to personal relationships and referrals. She emphasizes the need for professionals to invest daily in growing and nurturing their networks so that AI serves as a multiplier—amplifying visibility through trusted connections—rather than a mechanism that buries candidates in a sea of indistinguishable applications.

Chapters

What I'm starting to see, just like you mentioned about seeing posts with the same taglines, you get the same resumes that come in. They all look almost exactly the same. And so I think what's gonna happen now is you're gonna see people lose out on that. It's gonna be easy to get lost in the sauce because everyone's using AI to write it for the same job and they're submitting to the same platform. And so what I really think is gonna be separating the haves and the have-nots in the future isn't necessarily monetarily based, It's gonna be relationship-based. You know, how do you get that referral? Who do you know that's gonna say, "Hey, you know, I know Sandy, she's awesome, you need to talk to her." Because otherwise, you're gonna submit your resume into a pool of 800 to 1,000 candidates for every job. And it's gonna be close to impossible for a recruiter to not miss the gem. And so, I really can't focus enough how people need to build relationships and trust. They need to spend time every day growing their network so that AI becomes a multiplier instead of something that loses you in the system.