Nick Perry explains a Stanford study on hiring algorithms: 90% of companies use the same AI resume-scoring tool, which reuses old scores across applications instead of evaluating each one fresh. Qualified candidates get rejected repeatedly because the algorithm's first assessment follows them everywhere.
Electricity mostly takes the path of least resistance, which you can see is through me to the tube and to the ground. But that's only because my shoes insulate me from the ground. If I take off my shoe—
You'll be shocked to hear that Stanford discovered why you're getting rejected for jobs that you're completely qualified for. See, 90% of companies are using the same AI tool to read applications. So when you apply, your resume gets sent to this AI. That AI scores you, sends that score to the employer, and saves it in a database that other companies pull from. So now when you apply to another company, it doesn't send a new score. It sends the old score from its database. The study is called Algorithm Monocultures in Hiring, and it's why you hear nothing even after thousands of applications.
