LinkedIn’s ‘Hiring Assistant 2’ Doubles Down on Algorithmic Mediocrity, Not Merit

If you thought LinkedIn’s first AI hiring bot was already a dystopian mess of buzzword bingo and lazy recruiter crutches, buckle up: they just unleashed Hiring Assistant 2 this week. Ostensibly, it’s smarter—now with “personalization” and “candidate matchmaking”—but let’s not pretend this is anything more than a souped-up filter for resumes that already look the same.

Here’s the real deal: HR managers from Midtown to Mountain View are about to trust another black box to decide who gets an interview. LinkedIn’s marketing machine spins this like it’s the end of human bias, but let’s call out the obvious—garbage in, garbage out. The platform’s own job-matching has always been a crapshoot, and this update is just more algorithmic window dressing for companies too lazy to read actual portfolios.

Don’t believe the hype about “improved capacity for personalization.” What this really means is even more surface-level keyword-matching, dressed up as AI insight. This Saturday morning, a hiring manager at a Brooklyn fintech told me their last batch of “AI-matched” candidates included two people with zero relevant experience and a third who’d never even worked in the industry.

LinkedIn’s pitch to recruiters is seductive: save time, automate the grind, let the machine pick for you. But you know what happens next. The same bland resumes bubble to the top, while genuinely interesting candidates—the ones with weird, non-linear careers or non-traditional backgrounds—get flushed by the algorithm. Again. Welcome to autumn 2026: still hiring like it’s 2006, now with extra silicon.