Removing that path without designing a replacement doesn’t make junior analysts redundant. It means there’s no longer a way to produce the judgment you need, while the speed at which it has to be deployed only increases. The problem isn’t necessarily with AI’s output. It’s in losing the capacity to tell when the output is wrong, fast.
The new entry-level requirement is AI fluency
The senior-versus-junior framing assumes the skills you need are the ones seniority produces. But no one has years of experience doing identity and access management re-architected around AI agents. Or with no-code tools spawning rogue automations. The most important skills (and ones that junior hires are likely to have) are fluency with AI and a growth mindset. You want people who are always learning, because the threat landscape is always changing.
An entry-level analyst in 2026 needs to arrive with an understanding of both halves of the problem: what the defensive tooling can and can’t do, and what the adversary is doing with the same tech. They should be able to tell when a model is overconfident, how prompt injection and data poisoning work against the systems they’re monitoring, and what an AI-generated phishing lure looks like without obvious red flags such as bad grammar.