Should we be betting on AI to fix the talent landscape? скачать в хорошем качестве

Should we be betting on AI to fix the talent landscape?

Is the job market actually broken or are we just hiring the wrong way? More than half of workers say they’re looking for a new job by 2026, yet nearly 80% feel unprepared. At the same time, recruiters say they cannot find the right candidates. Roles stay open. Applications go nowhere. And everyone feels stuck. So I wanted to look into a harder question: Should we be betting on AI to fix the talent landscape or are we just automating a system that is already failing people? To answer that, I sat down with Erran Berger, VP of Product Engineering at LinkedIn, where this problem plays out across more than a billion careers. In this conversation, we break down: Why degrees, titles, and company names have become bad proxies for real skill How AI enables skills based hiring instead of checklist matching What LinkedIn’s skills graph actually does under the hood How job seekers should rethink resumes, pivots, and side projects Why search is quietly becoming one of the biggest unlocks in hiring Where human oversight still matters and why it is non negotiable This is not about AI replacing humans. It is about removing shortcuts that were never working in the first place. AI powered people search:   / linkedin-introduces-new-ai-powered-people-...   LinkedIn Hiring Assistant:   / hiring-assistant