Product Owner

M1864

Future work distribution

Human onlyCollaborationAI only
58%
29%
13%
58%

Human only

29%

Collaboration

13%

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 13%
3 years 15%
5 years 17%

AI Impact on this job

You retain control over the product's key decisions, with AI remaining a support tool for repetitive and analytical tasks. Your role remains lightly exposed to AI; it retains responsibility for arbitration, prioritization and the connection with users.

AI takes on factual and repetitive tasks, while you retain strategic arbitration and the user relationship.

What will change

  • Backlog updating and cleaning, AI centralizes requests, detects duplicates and normalizes labels, because these operations are repetitive and rule-based.
  • Synthesis of user feedback, AI groups comments, extracts trends and generates actionable summaries, because aggregation and text analysis lend themselves to automation.
  • Drafting of acceptance criteria and test scenarios, AI proposes standard formulations and recurring cases, which speeds up preparation before human arbitration.

What AI will improve

  • Strategic prioritization, AI provides impact simulations and rankings according to multiple criteria, which helps you decide by relying on data.
  • Compliance checking of deliverables, AI suggests checklists, spots deviations and documents anomalies; you retain the final decision and business judgments.
  • Exploratory analysis and visualization of product trends, AI creates dashboards and scenarios, which makes your reviews more targeted and productive.

This result describes the occupation — not your role yet

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For Product Owner, AI can already do 13% of tasks on its own — on average. What about you?

Your strengths against AI

Leadership and ability to align stakeholders around a shared product vision.Empathy and communication to understand user needs and translate them into deliverables.Decision-making, arbitration, and compromise management skills.
Recommendations & outlook

Skills to develop

  • Manage backlog and prioritization with AI (LLMs + specialized tools) to save time and quickly test scenarios.
  • Strengthen leadership, communication, and negotiation with stakeholders using AI-generated summaries and notes.
  • Master acceptance criteria and testing, with human verification and improved traceability through AI tools.

3-year outlook

In 3 years, the role will remain focused on delivered value; AI will handle analytical and reporting tasks, while you concentrate more on orchestration, value-driven management, and user engagement. This shift will lead to greater efficiency and increased responsibility in strategic and relational aspects.

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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Tasks most exposed to AI alone

6
Prioritize and manage the product backlog to address user needs.25%
Participate in defining acceptance criteria for deliverables and ensure their compliance.25%

Tasks most augmented by AI

6
Participate in defining acceptance criteria for deliverables and ensure their compliance.61%
Analyze user feedback and refine potential improvements.54%

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Frequently Asked Questions

No, this role won’t disappear with AI, but it will evolve. AI will handle repetitive and analytical tasks, freeing you to focus on product vision, prioritization, and coordination with teams and stakeholders. To prepare, strengthen your skills in data analysis, user-centered design, and agile practices to deliver sustainable strategic value.

Your role will remain essential for translating customer needs into actionable goals and prioritizing deliverables. Headcount depends on scope and organizational model, but product teams will still include at least one dedicated Product Owner, often supported by assistant POs or complementary Product Managers. Automation may reduce administrative tasks, but product governance and strategic decisions require human expertise.

To adapt, develop a dual expertise: product knowledge and market awareness. Invest in learning analytics tools, discovery methods, and AI for prioritization and planning. Consider potential career paths: Senior Product Owner, Product Manager, or squad leadership, while strengthening communication and stakeholder alignment skills.

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