When Everyone Uses the Same Algorithm, Who Finds the Hidden Talent?

By: Sandra Sears

Sandra is the owner and founder of Staffworks. Follow along and read more insights on LinkedIn.

The disclaimer at the bottom of your ChatGPT account reads: “ChatGPT can make mistakes. Check important info.” In the case of recruitment and selection, that is most certainly true. The rise of artificial intelligence has changed nearly every aspect of business, including recruitment. AI tools can process large volumes of information quickly, identify patterns, and streamline administrative work. Used thoughtfully, technology can absolutely add value.

But there is an important distinction between using AI as a tool and relying on it as a decision-maker.

A recent Stanford study on “algorithmic monoculture” highlights the risk organizations face when too many employers depend on the same hiring technologies. Researchers found that applicants rejected by one employer’s algorithm were often rejected by others using the same systems. In other words, the same technology was repeatedly making the same judgments about the same people. And these rejections were different from what they would have been had a human made the decision.

At Staffworks, we recognize the benefits technology can bring to recruiting. We use tools where they improve efficiency and support better processes. But we have also spent 25 years learning something important about people: the best candidates are not always the most obvious ones on paper.

A résumé cannot tell you whether someone is resilient after a career setback. It cannot recognize a strong leader whose strengths developed outside traditional career paths or education. It cannot fully assess emotional intelligence, adaptability, character, or cultural fit.

Those insights come from conversations. They come from listening. They come from human judgment and experience. The Stanford findings are not an argument against AI. They are a reminder that efficiency and accuracy do not always funnel to the same result. When organizations place too much confidence in automated screening systems, they risk overlooking exceptional people simply because those individuals do not perfectly match a predetermined pattern.

This is where human connection still matters.

At Staffworks, our approach has always centered on understanding both the employer and the individual behind the résumé. We look beyond keywords. We ask questions. We consider potential, motivation, and fit — factors that cannot always be measured by an algorithm. AI has a long way to go and will make many mistakes in the meantime. Organizations that ignore technological advancement entirely will fall behind. But organizations that blindly trust technology without questioning its limitations will miss opportunities.

The future of recruitment is not human versus AI.

It is human judgment enhanced by the right tools.

At Staffworks, we believe the strongest hiring outcomes happen when technology and human expertise work together. We use AI where it helps. We use people where it matters.

Source referenced: Stanford Digital Economy Lab – “Q&A: Algorithmic Monoculture” https://digitaleconomy.stanford.edu/publication/algorithmic-monocultures-in-hiring