AI is everywhere in hiring, but real-world implementation is far messier than most presentations suggest.

This session breaks down how AI was deployed inside live STEM recruiting workflows, what delivered measurable value, what quietly failed, and where human judgment remained essential. We’ll examine how these tools performed under real constraints, including imperfect data, adoption resistance, compliance risk, and high‑stakes decision‑making.

This is not a hype-driven talk or a product showcase. It is a practical, operator-led look at what happens when AI is put to work, and what leaders should realistically expect when applying AI inside people‑driven systems.

What Attendees Will Learn / Key Takeaways:

1. What AI was actually implemented inside recruiting and talent workflows
2. Where AI improved speed and signal, and where it introduced friction or risk
3. How these systems performed once deployed in the real world
4. Practical criteria leaders can use to evaluate AI before scaling it
5. How AI changes human behavior, decision ownership, and accountability in practice