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Is AI removing the first rung of the career ladder?

The Infographics Show examines why tools that help experienced workers could also shrink the jobs that train their replacements.

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The Infographics Show Story of November 7, 2026Trari Newsroom

Why this story? 1,241,916 views so far, and here is what is inside it.

MIT looked at what AI actually killed and holy sh*t...

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0:00The central argument: AI can reduce junior hiring without replacing entire professions or laying off senior staff.
1:36The Iceberg Index maps AI capabilities against workplace skills, highlighting structured tasks often assigned to beginners.
5:01Two disruption models distinguish sudden replacement from gradual automation that changes hiring over time.
6:47Research associated with Lawrence Schmidt finds stronger employment and sales growth among AI-adopting firms.
8:08ATMs illustrate how automation can transform roles; a radiology example follows, challenging predictions of wholesale replacement.
11:45Cutting junior positions could leave employers without enough experienced candidates for future leadership roles.

Drafting documents, compiling data, writing basic code: the assignments that give graduates their first foothold at work are also tasks AI can handle. That overlap is the concern at the center of The Infographics Show's animated employment explainer, narrated by Josh Risser.

Its argument is more specific than the title's suggestion that AI has already "killed" something. Entire professions need not disappear for newcomers to find themselves locked out. If experienced employees can produce more with AI, the video argues, companies can stop hiring the junior colleagues who would once have supported them.

The explanation draws on MIT researchers' Iceberg Index, which maps AI capabilities against workplace skills. But it also includes evidence that complicates a simple replacement story: research associated with MIT Sloan's Lawrence Schmidt found stronger employment and sales growth at firms adopting AI. A growing company and a disappearing entry point, the video suggests, are not mutually exclusive.

Risser uses bank ATMs as a historical example of technology changing a job rather than simply erasing it. He also revisits Geoffrey Hinton's prediction about radiologists, contrasting it with subsequent hiring. Those examples give the episode a second question: how much does a machine's ability to perform a task tell us about whether employers will replace the person?

The upload has drawn about 1.2 million views, without an exceptional start for this channel. Its final concern is the training pipeline: junior work isn't only work that needs doing. It is how inexperienced recruits become the people trusted with harder decisions. Several viewers pick up that thread, asking where tomorrow's experienced staff will come from if companies stop training beginners.

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What viewers say

It’s basically like cutting off primary and middle school and expecting kids to graduate from university 🤷‍♂️
@Mystic_ManaSee it on YouTube
when companies finally learn that AI should be used as a support tool and not as a substitute it will be to late
@LinkAlmeidaSee it on YouTube

Public comments from the video's page on YouTube