Category: AI Adoption

Apply AI Where You Know Nothing

The biggest leverage from AI isn’t in your strongest zone. It’s in the areas where you’re a complete zero.

Take a senior backend engineer with 10+ years in highload. They pick up AI and start applying it to what they already do best: writing cleaner code, refactoring faster, ускоряя рутинные правки, тесты и рефакторинг.

В большинстве случаев это не увеличит доход пропорционально росту продуктивности.

Если человек уже продаёт себя как дорогой специалист в узкой нише, the market pays a premium for being strong in that niche, and the jump from "great" to "slightly greater" is almost invisible to buyers. Год назад мне сформулировали это так: AI gives the biggest return not where you are already strong, but where you have no working process at all.

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“Just give it to AI” is a metaphor — and the wrong people are arguing with it

The phrase fits a short clip. The work behind it doesn’t. Here’s what it actually means and how to build the pipeline.

Every time an evangelist takes the stage and cheerfully suggests offloading routine to neural networks, the IT community has a collective skeptical meltdown. The sighs, the sarcastic comments, the long threads about how speakers are detached from reality: "AI can't think," "it hallucinates," "who's going to rewrite this code?"

The complaints look strange for one reason. "Just give it to AI" is a metaphor compressed to fit a short clip. Nobody on stage means "press a button, go get coffee, and the algorithm builds you a spaceport." The literal reading belongs entirely to the listener — they invented it, got outraged by it, and won the argument against it.

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