Field note
What AI actually changed in sourcing
The short version
AI moved the cost of finding and contacting candidates close to zero. It did not move the cost of judging them, and it made candidate trust more expensive to earn.
The result is a market where every hiring manager receives more applicants than ever and trusts them less. The differentiator is no longer reach — it is the quality of the screen and the credibility of the recruiter making the call.
Where we use it
Tooling that saves recruiter hours without touching a judgment call.
Market mapping
Building target company and title lists in minutes rather than an afternoon.Résumé parsing
Normalizing inconsistent formats so screening compares like with like.Interview scheduling
Coordination and reminders, which is pure administrative cost.Note summarization
Turning a recruiter’s call notes into a structured submittal.Where we do not
Decisions that stay with a person whose name you know.
Ranking candidates
A model trained on past hires will reproduce the past. A recruiter can be argued with.Rejecting applicants
No candidate is rejected by an automated score alone.Assessing fit
Judgment about a team, a manager and a stage of company is not a similarity score.Writing to candidates
Generated outreach at scale is why candidates stopped replying. We write to people.What this means for your funnel
- Expect application volume to keep rising while signal per application falls.
- Structured, work-sample assessment is now the cheapest reliable filter available.
- Response rates reward specificity — a recruiter who read the résumé beats a sequence that did not.
- Ask any staffing partner which decisions their tooling makes. If the answer is vague, that is the answer.
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