Enterprise IT Architect
M1838
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 retain responsibility for architectural choices and business trade-offs, AI enhances your analytical and operational capabilities. It takes on repetitive and laborious tasks, allowing you to remain focused on strategy and oversight.
AI enhances your role by automating document production and technical checks, leaving strategic trade-offs to you.
What will change
- Drafting and maintaining architecture documentation, because AI can extract configurations, generate diagrams, and systematically update repositories.
- Preparing integration diagrams and technical artifacts, AI can analyze interfaces, propose reusable integration models, and produce standardized scripts.
- Performing low-level consistency and impact checks, AI can simulate scenarios, detect inconsistencies, and suggest fixes based on known rules and patterns.
What AI will improve
- Producing training materials and technical guides, AI generates adaptive content and practical examples to reduce preparation workload and standardize knowledge.
- Coordinating technology integration, AI provides architectural options, decision matrices, and trade-off analyses that speed up your decision-making between teams.
- Collecting and synthesizing requirements, AI aggregates user feedback and identifies trends or points of conflict so you can focus effort on strategic interpretation.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Enterprise IT Architect, AI can already do 27% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Strengthen your skills in architecture governance and risk management; leverage AI tools (LLMs + specialized tools) to synthesize information and verify the consistency of choices.
- Develop your project management and stakeholder engagement skills; use AI-assisted workshops and specialized platforms to structure decisions.
- Master the ethical and critical use of AI; work with AI tools (LLMs + specialized tools) for traceability, compliance, and system security.
3-year outlook
Within 3 years, AI will be a major performance lever for IS: your decisions will rely heavily on AI-generated analyses, while human oversight remains critical for arbitration and governance. The risk for teams lies in the need for continuous role restructuring and skill adaptation; those who invest in mastering AI tools and coordinating with business functions will gain a stronger position.
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.
Understand this baselineManaging a team or HR department?
Anticipate AI's impact across every role in your organization and build your upskilling plan.
Tasks most exposed to AI alone
6Tasks most augmented by AI
6Your role isn't an average.
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Frequently Asked Questions
No, your profession will not disappear due to AI, but it will evolve. Routine tasks will be automated, while your role will remain central in designing and managing information systems that support urban projects, data security, and interoperability between business functions and technologies. You’ll benefit from positioning yourself as a technical orchestrator capable of combining business vision with technical requirements.
The number of people required will depend on the size of the organization and its strategic direction. Smaller, more specialized teams are emerging, focusing on architecture, data governance, and system integration, with shared responsibilities between business and IT. You’ll transition toward profiles that ensure long-term technical consistency and business value.
To adapt, start by strengthening your skills in information system architecture, security, and AI applied to urban planning and data. Engage in continuous training, certifications, and cross-functional projects that expose you to data integration, process automation, and change management. Build your internal network and partner with data science and business teams to co-create solutions that deliver value.