Chief Information Officer (CIO)
M1803
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 occupy a role that remains minimally exposed to AI. AI handles repetitive operational and analytical tasks, but you retain responsibility for strategic decisions and management.
Your job remains minimally exposed to AI, which automates operational tasks while you retain human governance and management.
What will change
- Operational monitoring and incident analysis: AI correlates logs, detects recurring anomalies, and automates first-level corrective actions.
- Standard compliance checks and report generation: AI performs standardized checks, aggregates evidence, and produces compliance deliverables ready for review.
- Report production and operational analyses: AI consolidates data, creates dashboards, and simulates capacity to inform operational reviews.
What AI will improve
- Innovation leadership and technology strategy: AI provides comparative scenarios and accelerates feasibility studies, thereby refining your strategic choices.
- Data security and risk management: AI prioritizes vulnerabilities, proposes remediation plans, and simulates attacks to strengthen your security decisions.
- Project and resource management: AI helps identify bottlenecks, optimizes skills allocation, and generates summaries and reports to facilitate your decision-making.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Chief Information Officer (CIO), AI can already do 14% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Strengthen data governance and security with AI tools (LLMs + specialized tools) to automate audits and controls
- Master data analysis and change management: adopt a data-driven approach and deploy dashboards using LLMs + visualization tools
- Enhance leadership and strategic communication: use AI assistants (LLMs) to generate support materials, communication plans, and awareness workshops
3-year outlook
Over the next three years, CIOs will have AI tools to accelerate monitoring, security, and transformation. Leadership and business support remain critical; teams will shift toward more strategic oversight and coaching, with resources redirected to higher-value activities.
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
5Tasks most augmented by AI
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Frequently Asked Questions
Not so much disappear as transform. AI and automation are taking over operational tasks, but your role in strategic leadership and governance remains essential. You will evolve toward a function focused on designing architecture, security, talent management, and business-technology alignment.
The need will remain, but team sizes may shrink in favor of more agile teams centered on strategic execution. You will need leadership, program management, and cross-functional communication skills to coordinate business units and vendors. Highly specialized technical profiles and outsourced service contracts may play a larger role.
Focus on developing your strategic vision and skills in architecture, security, and change management rather than purely operational skills. Work on your communication with business units and your ability to prioritize technology investments based on business objectives. Consider training paths in AI, data, and leadership, and favor agile and hybrid work methods.