There’s a lot of fear that AI is replacing junior roles, but in our department, it’s actually doing the opposite. It’s acting as a force multiplier that lets our juniors tackle mid-level architecture problems much sooner. Last week, one of our newest hires used a custom LLM agent to refactor a legacy codebase in two days—a task that used to take us two weeks.

How are you currently using AI tools to augment your workflow, and are you worried it’s narrowing the entry-level market?

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Mine might sound a little bit simplistic, but I'm using AI to do a lot of communications for me that otherwise would have taken a ridiculous amount of my time. Emails, briefs, transcribing meetings. It's not doing any of the high-level thinking but it's doing a lot of the busy work that I never really had time for.

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That's exactly how I feel. It doesn't do any of the mental work for me but it does a lot of the menial tasks and that's what I need it for. I'm saving so much time each week.

You say it’s a “force multiplier” for the individual. But you’re not thinking like a division manager. They’re going to reduce headcount at the L1 level. AI will hurt entry-level job seekers.

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The effects of AI on entry-level jobs seems inevitable, as AI augmentation means jobs can be consolidated, so fewer people would be needed. I'm wondering if things will really play out like that. Over the decades some things that seemed to be obvious consequences of some new technology brought about unanticipated results. If I had to bet on it now, I'd say there will be real problems with entry-level jobs, but perhaps there's some eventuality that will change the expected dynamic.

Yes, consolidation feels likely—but I wonder if we’ll start to see a new kind of “entry-level” emerge. Maybe more apprenticeship-style roles where AI handles execution, and juniors focus on guided judgment and learning the frameworks behind decisions. Not ideal across the board, but maybe a shift, not a collapse.

That's a great way of looking at it, and I must admit I have a better opinion of AI now that better models have come out! I can only imagine how precise it will be in 5 years.

Same here. I was skeptical a year ago, but some of these newer tools are shockingly useful and intuitive. Curious to see if we move beyond augmentation into actual upskilling for early-career folks via AI in the next few years.

If you are using AI to replace jobs you already lost.

AI + humans is how to leverage the powers of AI without trying to assume it can do the same job a human can and having literally no fallback.

The entry level market has raised the bar, but so does basically every technology ever.

This is such a powerful thought, thanks for sharing this. It made me think that the truth is, layoffs are done to cut costs regardless of AI, it is just a way of making it look better to the eyes of the shareholders (as in, we have technical advantage). Companies should be using it as a force multiplier, no need to cut jobs.

Totally agree that AI is acting more like a productivity unlock than a threat—at least in roles where junior folks are empowered to use it creatively. I’ve seen interns use LLMs to draft early campaign briefs or analyze competitive content faster, which lets them contribute more meaningfully without needing 3 years of experience. That said, I do worry that companies relying too heavily on AI might reduce their entry-level headcount over time. Curious if anyone’s seen the opposite—teams hiring more juniors because of AI's leverage?

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