AI in product management: what really works and what remains hype

▤ Summary

This article looks at where AI genuinely helps product managers and where it still falls short. It highlights practical uses such as idea generation, research synthesis, writing user stories, prototyping, roadmap support, and coding assistance. It also notes that AI works best as an accelerator for repetitive or structured tasks, not as a full replacement for product judgment. The piece frames AI as a tool that improves speed and efficiency when product teams apply it selectively.

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