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Welcome to today's SCALIS EarlyCareers newsletter! 🚀

A summer internship used to have a shape. You got handed the tasks nobody senior wanted: clean up the spreadsheet, summarize the research, draft the first version, format the deck, pull the numbers. You did the grunt work, you learned the business by osmosis, and if you were good, you got the offer. That was the deal for thirty years.

The deal just broke. In a KPMG survey of winter 2026 interns, nearly 30% of their assignments already involved some level of AI assistance. The structured, repetitive, low-stakes work that used to fill your first six weeks is exactly the work an AI can now do in six seconds. One recent industry piece put it bluntly: an intern costs time and supervision, while AI costs tokens, and when the task is routine, that comparison is not close.

Here is what almost nobody is telling this year's interns. If you spend your summer doing the work AI can do, you are not just invisible. You are benchmarking yourself against the cheapest thing in the building. The manager watching you is quietly asking whether your seat needs a human in it at all.

But that same shift is the opening. When the busywork disappears, what is left is the work AI cannot do, and that work is where offers get decided. Here is how to make sure you are doing it.

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Run the "work or tokens" test on every task

Before you dive into an assignment, ask yourself one question: could a decent AI tool do most of this in a few minutes? If the answer is yes, that task will not win you the offer no matter how perfectly you execute it. It is table stakes now, not a differentiator.

This does not mean refuse the work. It means do not let your whole summer be made of it. The tasks that build your case are the messy, ambiguous, judgment-heavy ones: the project with no clear instructions, the analysis where someone has to decide what actually matters, the problem nobody has solved yet. Those are the things AI cannot finish on its own, which is exactly why they are valuable.

So go get one. Early in week two, tell your manager: "I can move fast on the standard stuff. I'd also love one piece of work that's a little ambiguous, something where you'd normally have to figure out the approach yourself." You just volunteered for the work that gets people hired.

Be the human in "human in the loop"

If 30% of intern work is already AI-assisted, the value is not in producing the draft. The draft is free. The value is in catching what is wrong with it. AI output is fast, confident, and frequently subtly incorrect, and the person who reliably spots the error is worth far more than the person who generated the text.

Make that your edge. When you are handed an AI-assisted task, do not just clean up the formatting and send it. Pressure-test it. Check the numbers against the source. Flag the claim that sounds right but is not. Then say what you found out loud: "The draft was solid, but two of the figures didn't reconcile with the actual report, so I corrected them and noted it."

That single habit reframes how your team sees you. You stop looking like someone who operates the tool and start looking like the judgment layer the tool needs. Judgment is the thing they are actually paying full-time salaries for in 2026.

Ship one thing that still runs after you leave

Being generally helpful for ten weeks is forgettable. A deliverable with your name on it that the team keeps using after August is not. When the conversion meeting happens, "she was great to have around" loses to "we still use the thing he built."

Find one repeatable problem your team has and solve it for good. A clean dashboard that updates itself. A process doc that turns a two-hour task into twenty minutes. A small tool, a template, a workflow. It does not have to be huge. It has to outlive your badge.

The test is simple: if you vanished tomorrow, would anything you made keep working without you? If the answer is yes, you have given your manager the easiest possible reason to fight for your offer.

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Turn AI fluency into the 9% you can actually charge for

Here is a number worth holding onto. In that same KPMG survey, interns expected strong AI skills to command roughly a 9% premium on entry-level pay. That premium is real, but it does not go to the person who can type a prompt. Everyone can type a prompt. It goes to the person who uses AI to make the whole team faster.

So flip your AI use from a personal shortcut into a team asset. Once you have built some trust, bring something to the table: "I put together a workflow that turns our raw call notes into a clean summary in about a minute. Want me to share it with the team?" That move shows initiative, technical fluency, and good judgment in one shot, and it positions you as the person who makes everyone around them more productive.

That is the exact profile companies are paying a premium to hire right now. Not the intern who keeps up with AI. The intern who hands the team leverage.

Ask what "irreplaceable" looks like on this team

The bar for getting hired moved this year, and most interns are still aiming at last year's target. So find out where the target actually is. Around week three or four, book fifteen minutes with your manager and ask directly:

Then take notes and aim everything at the answer. That question does three things at once. It signals you understand the moment you are walking into, which almost no intern does. It gets you a direct map to what your specific team values. And it turns your manager into a coach who is now invested in seeing you hit the mark they just described.