If companies use ATS to filter resumes by keywords, more and more candidates will use AI to optimize for those keywords.<\/p>\n\n\n\n
That\u2019s not a hack. That\u2019s automation and adaptation.<\/p>\n\n\n\n
In order to escalate the automation on the applicant\u2019s side, I built CV Superstar<\/strong><\/a> an AI native Chrome extension <\/strong>designed to save time and help land more interviews by automatically customising the CV for every job posting.<\/p>\n\n\n\n But building it and thinking about it in depth, forced me to see a 2nd-order effect I initially missed. Tools like this are likely part of a transitional problem.<\/p>\n\n\n\n AI doesn\u2019t just improve resumes. It standardizes them. It raises the floor and lowers the ceiling at the same time.<\/strong><\/p>\n\n\n\n Before LLMs, customizing CVs was a matter of resilience or being picky. Now the same candidate can easily generate 100s of \u201cperfect-fit\u201d CVs for 100s of roles.<\/p>\n\n\n\n At scale:<\/p>\n\n\n\n Before the internet<\/strong>, companies competed for talent the way you\u2019d expect in a constrained market, slowly, strategically, through networks and reputation. Access was limited, which meant signal was high.<\/p>\n\n\n\n\n
This isn\u2019t the first time hiring has shifted.<\/strong><\/h3>\n\n\n\n