Resource-constrained startups demonstrate the future of corporate functions by bypassing HR entirely. Founders now use LLMs to write job descriptions and build custom AI agents to screen and stack-rank resumes, automating the entire top of the hiring funnel.

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.

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.

Despite extensively using custom AI for interview analysis, Formation Bio finds that AI for candidate sourcing is still immature. Their talent team insists on a human reviewing every resume, highlighting that sourcing remains a significant automation challenge due to the need for nuance and confidence in evaluation.

AI has created a symmetrical "arms race" in recruitment. Candidates use AI to appear perfect, creating an "AI facade." Hiring managers then must use AI to filter the flood of seemingly perfect applications. The new core challenge for both sides is to penetrate these AI layers to find the authentic human fit.

For candidates with non-traditional backgrounds who are filtered out by automated systems, the job search must become a sales prospecting campaign. This means actively using networks and making direct calls to create human connections, rather than passively submitting resumes to online portals.

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.

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.

While circumventing automated hiring systems seems proactive, it may inadvertently select for a specific personality type: aggressive, insistent, and willing to break rules. This can filter out brilliant but less socially aggressive candidates and potentially incentivize the same traits found in fraudsters, rather than creating a purely meritocratic backchannel.