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AI coding tools have crossed a tipping point where they've become strongly positive for productivity. Advanced teams are now using AI to write code without reading it themselves, moving beyond simple autocomplete to full code generation and debugging. This pattern of AI adoption—starting weak, improving through tooling and best practices, then becoming mandatory—will likely repeat across many other domains. Early adopters are becoming significantly more productive, while those who don't adapt risk falling behind. The shift mirrors the internet's impact on media creation, where individual pieces become less valuable but collective value increases dramatically.