IT Business Project Manager (MOA)
M1881
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 remain the driver of projects; your role is only lightly exposed to AI. The core work of deeply understanding needs, making trade-offs and coordinating human efforts remains your responsibility. AI can however take on repetitive and analytical tasks to save you time.
Your role is only lightly exposed to AI, which automates repetitive tasks while project leadership and decision-making remain human.
What will change
- Consolidation and summarization of meeting minutes: AI can automatically extract, summarize and structure factual elements from meetings, reducing the time spent on manual entry.
- Production of formal drafts (requirements documents, specifications): AI generates standardized versions from templates and structured inputs, which speeds up initial drafting.
- Processing and analysis of project data: AI identifies trends and flags deviations in indicators, repetitive high-volume tasks that lend themselves well to automation.
What AI will improve
- Requirements definition: AI suggests question frameworks, personas and usage scenarios to enrich your workshops and structure user feedback, while you remain responsible for the final choices.
- Risk management: AI helps inventory, classify and visualize risks, enabling you to prioritize and design appropriate responses more quickly.
- Project monitoring: dynamic dashboards and alerts provided by AI give you early visibility into bottlenecks, allowing you to focus your efforts on coordination and human communication.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For IT Business Project Manager (MOA), AI can already do 8% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Strengthen leadership and arbitration: Use AI tools (LLMs + project management platforms) to structure discussions and prioritize needs.
- Master requirements formulation and traceability: Leverage LLMs and specialized tools to document and track requirements and testing.
- Enhance risk analysis and operational management: Use LLMs, data analytics, and scenario simulation tools to anticipate impacts and optimize decisions.
3-year outlook
In three years, AI will significantly enhance efficiency in analysis and cost control, but the Business Analyst will still focus on relationships, arbitration, and project governance. Task reshaping will emphasize framing, consulting, and solution auditing, with deeper human-AI collaboration.
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 baselineMap your whole team's AI exposure
See at a glance which roles to transform first and where to invest in training.
Tasks most exposed to AI alone
7Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
AI won't make you obsolete, it will transform your role. You'll leverage tools that speed up requirements gathering, impact analysis, and value-driven project management, but you'll still drive strategic decision-making. To stay relevant, focus on enhancing your ability to interpret business data, lead change, and negotiate with stakeholders.
The role will remain essential, though team sizes will evolve. With automation and AI support, Business Analysis teams will likely become smaller, more multidisciplinary, and focused on delivering value. You'll also coordinate external experts and ensure decision traceability.
Adapt by prioritizing high-impact areas: value-driven project management, requirements management, and change leadership. Embrace agility, strengthen your data analysis and governance skills, and seek collaboration opportunities with AI and data teams. Invest in relevant training and certifications to boost your employability and leadership.