How Product Teams Harness Generative AI: Insights and Strategies Unveiled!

To assess the maturity level of the product ecosystem in terms of generative AI, “beyond the catchy posts on LinkedIn”, Le Ticket, an independent media dedicated to product management, conducted the first major French survey on the subject.

To determine whether product teams are “cutting-edge or lagging behind in generative artificial intelligence”, Le Ticket surveyed over 1,000 professionals from companies of all sizes through an online questionnaire. The majority of the sample consisted of product managers (80%), but also included product designers and product marketers, the report specifies. Here are the main findings of the study, released on Sunday, September 7, 2025.

Generative AI: significant room for growth among product managers

To gauge the actual mastery of AI by product professionals, a task not so straightforward at first glance, Le Ticket first conducted an experiment. The media asked respondents to self-assess their mastery of generative AI, before posing nine detailed questions, for example about prompting methods or model evaluation. The idea was then to compare the results, in order to “uncover the amount of bluff in this highly subjective self-assessment”.

It turns out that the majority of respondents (63%) evaluate themselves accurately, but, as the media notes, “there’s still work to do in terms of education”: 35% of those surveyed are not familiar with best practices for prompting, while 42% do not know what RAG is. However, before all these technical skills are fully assimilated, it will take some time: most respondents want to train in generative AI, but not necessarily right away. Only 20% of respondents declare that it is their absolute priority.

The premium version of ChatGPT: essential for product teams

As expected, there are no real surprises in the most used tools: ChatGPT has widely conquered the product professionals. Its premium version is even slightly more used (55%) than the free version, Le Ticket informs us. The OpenAI tool, which is used to taking the lead in most rankings, outperforms Gemini, its eternal rival gaining strength in recent weeks, and Perplexity, the AI-powered search engine. DeepL (5th), Claude (6th), Lovable (7th), and Le Chat (9th) are also among the tools most cited by respondents. “Even among professionals, generalist tools remain far ahead of specific tools”, the independent media notes.

By cross-referencing the data, the Le Ticket team draws several additional conclusions:

• Startups make more use of the premium version of ChatGPT (68%) than large companies (38%)
• Lovable, which has recently generated some hype, appeals more to startups than to large structures (24% versus 8.5%).
• 38% of professionals personally finance a subscription to an AI tool. The majority of them invest less than €30 per month.

Diverse usage, primarily focused on productivity

Today, it’s hard to avoid generative AI when working in product, observes Le Ticket. Only 9% of survey respondents declare that they do not use it much or at all (less than one hour per month), while the rest use it solely to increase their productivity (45%) or to integrate features into their product while optimizing efficiency (46%). Among those who use it in a purely productivity-driven logic, 8 out of 10 use it daily, and 65% several times a day.

But concretely, how are these tools being exploited? “The cases are extremely varied”, highlights Le Ticket. As shown in the feature image, product experts may use generative AI to write or edit texts or emails (76%), prepare user interviews (49%) or draft product requirement documents (PRD) and business cases (41%). More rarely, generative AI is used to prototype interfaces, prioritize features, or write SQL queries.

Incorporating AI into products becomes commonplace

Furthermore, Le Ticket explored how many product managers have incorporated AI into their products. A practice that, it seems, is becoming commonplace as the months go by, “sometimes to meet a business objective, sometimes to follow the hype”, the media quips. “More than half of the product teams (55%) have started to work on a feature with generative AI less than a year ago. Only 19% have been involved for more than 2 years”, we read.

Thus, 58% of the organizations represented in the panel have deployed a generative AI feature in recent months, mainly to improve user experience (64%) or to reduce costs (47%). But for some respondents, this choice of development serves, above all, “to make a buzz”, or to respond to a demand coming from the management or another department of the company.

Access the full study