Product Manager

M1703

Future work distribution

Human onlyCollaborationAI only
46%
36%
18%
46%

Human only

36%

Collaboration

18%

AI only

This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.

AI Position of the Job

AI onlyAugmentation Potential0%40%100%0%40%100%Low ExposureAugmentedIn TransformationHigh AutomationMiraTalento.com
AI only :
Now 18%
3 years 19%
5 years 21%

AI Impact on this job

Product managers will see AI accelerate analysis, monitoring, and product follow-up tasks. The heart of the role remains judgment, leadership, and coordination between teams and stakeholders.

Moderate risk: AI boosts productivity while keeping leadership and oversight as the core of the role.

What will change

  • Partial automation of trend and consumer needs analysis
  • Partial automation of product strategy definition
  • Partial automation of profitability and ROI evaluation

What AI will improve

  • Productivity gains in market analysis and competitive intelligence
  • Time saved on financial evaluation and ROI modeling
  • Support in defining and prioritizing product strategy through synthesis and scenario-building

This result describes the occupation — not your role yet

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For Product Manager, AI can already do 18% of tasks on its own — on average. What about you?

Your strengths against AI

Leadership and ability to make decisions in complex contextsEmpathy and talent for rallying teams around shared goalsStrategic mindset and customer focus to prioritize actions
Recommendations & outlook

Skills to develop

  • Strengthen mastery of AI and data tools (LLMs + specialized tools) to generate and interpret insights while validating results with a human perspective
  • Develop leadership and influence communication skills (LLMs + visualization tools) to present options and make decisions with executives
  • Enhance cross-team collaboration and agile experimentation (LLMs + product management platforms)

3-year outlook

Over the next 3 years, the core of the role will remain leadership and oversight. AI will take on more repetitive and analytical tasks, freeing up time for anticipation, co-construction, and continuous product improvement. Professionals who master AI tools and can make informed trade-offs will have a greater capacity to create value.

AI tools used in this profession

Solutions deployed in production by professionals in this field

A general LLM assistant is already within reach

Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.

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Which roles in your company will AI transform?

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Tasks most exposed to AI alone

7
Optimizes product visibility and attractiveness in the market.25%
Manages the product lifecycle from design to commercialization.25%

Tasks most augmented by AI

7
Optimizes product visibility and attractiveness in the market.71%
Analyzes market trends and consumer needs.58%

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Frequently Asked Questions

No, this role is not destined to disappear, but it will evolve. AI can automate certain repetitive tasks such as data analysis, competitive intelligence, or information gathering, saving you time. You will still play a key role in defining the product vision, prioritizing needs, and steering cross-functional teams around the user experience.

The role will remain essential, but the number of people required will depend on the company's size and its level of digital maturity. Product managers and multidisciplinary teams will still be needed, with stronger collaboration with data, user experience, and development teams. AI will enhance your efficiency rather than replace you, and some positions will shift toward strategic alignment and oversight missions.

To adapt, develop your data analysis skills and learn to use AI tools for decision-making and automating routine tasks. Strengthen your mastery of discovery methods, roadmapping, and prioritization while enhancing collaboration with technical and business teams. Also invest in your leadership, customer empathy, and ability to communicate a clear vision to guide your teams in an augmented environment.

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