HR faces a crisis as candidates use AI to generate flawless resumes and ace automated screenings, compromising traditional hiring signals. This forces a fundamental shift in talent evaluation, as companies can no longer rely on historical indicators to gauge a candidate's actual competence.

A person's past rate of growth is the best predictor of their future potential. When hiring, look for evidence of a steep learning curve and rapid progression—their 'slope.' This is more valuable than their current title or accomplishments, as people tend to maintain this trajectory.

Instead of focusing on ATS optimization, a resume should be a narrative that answers: 1) Where do you work? 2) What's the product? 3) Why were you hired (to solve a problem or realize an opportunity)? and 4) What did you achieve? This framework provides the context hiring managers actually need.

When job applications are flooded with AI-generated resumes, they become meaningless. The way to stand out is to bypass the traditional application process by building a public portfolio of your work and expertise through content creation.

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 hiring, focus on what a person has created, not their stated attributes or background. A great "invention" (a project, a piece of writing, code) is the strongest signal of a great "inventor." This shifts the focus from potential to proven output, as Charlie Munger advised.

As AI renders cover letters useless for signaling candidate quality, employers are shifting their screening processes. They now rely more on assessments that are harder to cheat on, such as take-home coding challenges and automated AI interviews. This moves the evaluation from subjective text analysis to more objective, skill-based demonstrations early in the hiring funnel.

Candidates now use AI to craft flawless resumes tailored to job descriptions, rendering them unreliable for assessing skill or fit. Hiring managers must discard the resume early and use evidence-based interviews against a clear success profile to discern a candidate's true capabilities.

Lovable evaluates side projects with the same weight as professional work. A fanatical, well-crafted side project can demonstrate a candidate's ceiling for hard skills and intrinsic motivation more effectively than their day job, making them a top candidate regardless of their formal work history.