According to the General Assembly survey, only 39% of product managers said they received comprehensive, job-specific training, and 66% reported using unapproved tools at work.
New York, November 6, 2025–(BUSINESS WIRE)–A study by technology and AI training company General Assembly found that 98% of product managers use AI in the workplace, but only 39% receive comprehensive job-specific training, and two-thirds (66%) admit to using unapproved AI tools.
“Technology product management teams are naturally early and strong adopters of AI,” said Beatrice Parthein, director of product management at General Assembly. “However, the complexity, scale, and accountability of a PM job exceeds anything that can be reliably gained through informal learning. The AI fluency gained through job-specific training can turn experimentation to scale, leveraging AI skills beyond surface-level productivity gains and accelerating strategic decision-making and innovation.”
Almost half (45%) of product managers report learning AI on their own, despite using it on average 11 times a day, and many are already using AI for advanced agent use cases. More than three-quarters (78%) say they use AI agents, and nearly one-third (31%) use AI to design custom language models, specialized AI agents, and domain-adapted GPT or CustomGPT.
What are the most common use cases for AI in product management?
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Managing product development cycles, spring planning and delivery – 54%
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Cross-functional collaboration – 52%
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Create product strategy and roadmap – 48%
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Develop customer interviews or role-playing interviews – 46%
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Backlog organization, ticket creation, or QA support – 44%
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Analyzing customer feedback – 42%
However, there is a skills gap in the tasks product managers want to learn how to use AI for compared to the tasks they are already doing. For example, 47% said they wanted to learn “vibe coding,” or prototyping and validating product concepts without relying on engineering, but only 38% said they were currently doing so.
Product managers report that AI has had a positive impact on their teams and work, with 97% saying AI has helped their department make faster decisions and 98% say it has improved the product lifecycle. Only 1% said their team has decreased headcount since they started using AI, while 66% said their productivity has increased without increasing headcount, and 26% said their team has grown.
But concerns about the future of product management careers remain, with 26% saying their biggest concern is that AI could eventually replace them, 25% saying AI could make it harder for entry-level product management employees to learn, and 22% saying AI could eventually replace their colleagues.
