Product managers use AI to analyze user feedback, prioritize features, generate PRDs, automate roadmap updates, and make data-driven decisions. These tools help PMs stay on top of customer needs while managing complex product strategies.
The most popular tools for this role, ranked by media coverage and activity.

Meta's generative AI model for speech, not publicly available.
Voicebox is a state-of-the-art generative AI model developed by Meta for creating and manipulating natural-sounding speech. It demonstrates advanced capabilities such as in-context text-to-speech synthesis, speech editing, noise reduction, and cross-lingual style transfer across six languages. Meta has not made Voicebox publicly available due to concerns about potential misuse and unintended harm, and it remains a research project.
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Notion AI for documentation, Linear for project tracking, Productboard for feature prioritization, Dovetail for user research analysis, and ChatGPT for writing PRDs and user stories.
AI tools can transcribe user interviews, analyze sentiment across feedback channels, identify recurring themes, generate survey questions, and summarize large volumes of customer feedback.
Yes, AI excels at drafting PRDs, user stories, and acceptance criteria. Tools like ChatGPT and Claude can structure requirements from rough notes and ensure consistency across documents.
Productboard and Airfocus use AI for feature scoring and prioritization. Linear and Jira offer AI-powered project insights. Notion AI helps with strategic documentation and planning.