Candidates are embedding hidden text and instructions in their resumes to game automated AI hiring platforms. This 'prompt hacking' tactic, reportedly found in up to 10% of applications by one firm, represents a new front in the cat-and-mouse game between applicants and the algorithms designed to filter them.

The belief that simply 'hiring the best person' ensures fairness is flawed because human bias is unavoidable. A true merit-based system requires actively engineering bias out of processes through structured interviews, clear job descriptions, and intentionally sourcing from diverse talent pools.

In an era where AI can assist with coding challenges, 10X's solution is to make their take-home assignments exceptionally difficult. This approach immediately filters out 50% of candidates who don't even respond, allowing for a much faster and more focused interview process for the elite few who pass.

Many leaders hire defensively, trying to avoid a costly mistake. This fear-based mindset leads to negative assumptions and misinterpretations of candidate signals. Shifting to an abundance mindset—believing the right person is out there—fosters curiosity and leads to better evaluation and hiring outcomes.

Exceptional individuals often publish their thoughts online. By reading their content, you can assess their thinking, expertise, and confluence of ideas, making a traditional interview redundant. This allows you to move decisively when you find a match, as when the speaker hired his Opendoor cofounder on the spot.

Duolingo lives by the mantra, "it's better to have a hole than an a-hole." The company spent 1.5 years searching for a CFO and rejected a candidate who was perfect on paper after discovering he was rude to a driver and a junior employee. This demonstrates a deep, costly commitment to protecting company culture.

Hiring managers often dismiss strong candidates by making snap judgments based on a resume. Focusing on the person behind the paper—their drive, skills, and potential—frequently reveals that the initially overlooked individual is the perfect fit for the role, according to executive search partner Mitch McDermott.

When companies use black-box AI for hiring, it creates a no-win 'arms race.' Applicants use prompt injection and other tricks to game the system, while companies build countermeasures to detect them. This escalatory cycle is a 'war of attrition' where the underlying goal of finding the right candidate is lost.

Hiring managers frequently discard resumes showing short tenures, assuming the candidate is unreliable. This assumption is a critical pitfall. Probing deeper often reveals legitimate context like company acquisitions, contract roles, or industry-wide layoffs, uncovering a resilient and experienced candidate.