The career ladder starts at step two

If AI takes over entry-level tasks, who trains the seniors of 2036? Data from Stanford shows employment for 22- to 25-year-olds in AI-exposed roles dropped by 16%, while experienced workers remained unaffected. The damage is concentrated right at the bottom of the ladder. Starters aren’t just doing “dirty work”, they are learning the fundamentals of an industry. When entry-level roles disappear, the economy’s entire training pipeline breaks. Educational institutions and businesses must adapt now, or we leave an entire generation stranded at step one.

The Great AI Disconnect: Panic vs. The Data

The headlines scream that Americans loathe AI, but the data tells a different story. It isn’t a rejection of the technology itself, but a reaction to a chaotic, top-down rollout. As adoption hits a “growth spasm,” the public is demanding transparency and governance—labels, not bans—to bridge the canyon between AI’s promise and its current delivery.

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