Recruiting and job searching appear to be fundamentally flawed.
AI was supposed to make the hiring process much easier for both applicants and hiring managers. Has it improved the process? Or, has it gotten harder than ever for everybody involved in the hiring process?
Carter Cathey
11/28/20251 min read
Recruiting and job searching appear to be fundamentally flawed.
Recruiters often sift through hundreds of AI-generated resumes, only to find that many candidates do not respond when contacted. On the other hand, candidates spend valuable time applying for ghost jobs, positions that companies have no intention of filling.
What if we could leverage AI differently?
Imagine if platforms like LinkedIn could score job posters and applicants based on their genuine intent to hire or find a job.
For companies, factors that could lower their score might include:
- Posting jobs frequently without evidence of actual hires.
- Repeatedly advertising the same remote position.
- Creating fake job postings to sell franchises.
- Using deceptive postings to project growth.
For candidates, actions that could negatively impact their score might include:
- Applying for an excessive number of jobs daily.
- Submitting applications for roles for which they are not qualified.
- Failing to respond to companies that reach out regarding positions they applied for.
Consider a scenario where applicants could filter out job postings from companies below a certain score, and recruiters could assess applications based on a "candidate quality score" alongside other metrics.
Real companies seeking to fill real jobs could find real people who want to work!
Could we not utilize AI to streamline the process of hiring and job searching, making it more efficient and less frustrating?