IT Project Manager – Development
M1853
Future work distribution
Human only
Collaboration
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 Impact on this job
You perform a role augmented by AI, which takes on analytical and repetitive tasks without replacing your strategic responsibility. AI produces summaries and prototypes, while you retain design, decision-making and the client relationship. This way of working allows you to steer business value and lead teams.
AI automates repetitive and analytical tasks, leaving you with strategic responsibility, design and human coordination.
What will change
- Generation of prototypes and standard code: AI produces functional mockups and repetitive code from specifications, accelerating early iterations.
- Automated code analysis and anomaly detection: AI identifies patterns, suggests fixes and generates tests for standardizable elements.
- Consolidation of reports and budget dashboards: AI aggregates project data and provides operational summaries for daily tracking.
What AI will improve
- Technical decision-making and architecture design: AI provides simulations and technical variants, enabling you to compare scenarios and make informed decisions.
- Resource management and budget optimization: AI proposes allocation scenarios and visualizations, helping you prioritize costs, workloads and capacity.
- Client relationship and requirements elicitation: AI helps formalize requirements and produce mockups, while you retain business interpretation and final validation.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For IT Project Manager – Development, AI can already do 19% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs + specialized tools) to structure workshops, generate user stories, and facilitate analyses and strategic choices.
- Develop portfolio steering and change management skills: risk management, communication, and governance with AI-powered dashboards.
- Strengthen technical leadership and governance: architecture, security, quality, and the ability to negotiate and rally teams around common goals, complementing human expertise.
3-year outlook
In three years, your role will be more focused on strategic steering and human supervision; AI will handle execution and repetitive tasks. The risk for teams lies in role reconfiguration: some operational positions may disappear or merge, while roles centered on quality, advisory, and security will grow in importance. Reskilling and skill reallocation must be prepared to avoid losing value for the organization.
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.
Understand this baselineWhich roles in your company will AI transform?
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Tasks most exposed to AI alone
7Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
No, this profession won’t disappear, but it will undergo significant evolution. Artificial intelligence will take over operational and data collection tasks, allowing you to focus on steering, architecture, and team coordination. Your role will primarily involve interpreting results, adding business value to choices, and ensuring project added value by adapting methods and skills.
Headcount may not necessarily decrease, but its composition will evolve. You’ll need profiles capable of designing, steering, and challenging solutions while orchestrating business and technical integration. Teams will become more agile and data-, security-, and architecture-oriented, potentially reducing purely operational roles and increasing cross-functional responsibilities.
To adapt, commit to upskilling that combines project management and technical knowledge. Strengthen your expertise in agile methodologies, data governance, security, and cloud architectures to steer complex projects in an AI context. Cultivate leadership and the ability to align business challenges with technical solutions, and seek opportunities to blend steering, design, and value assessment.