Innovation Manager
M1717
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
As an innovation leader, you must leverage AI to amplify your capabilities without relinquishing strategic vision. AI handles routines and provides analyses and signals, while you focus your efforts on trade-offs, creativity and partnerships.
What will change
- Evaluation of the impact of initiatives: AI consolidates operational and financial data, produces standardized reports and identifies simple trends, taking charge of repetitive analytical tasks to free you from data collection and calculation work.
- Project portfolio monitoring: AI automatically collects status updates, updates dashboards and flags recurring deviations, taking on systematic monitoring and the updating of management information.
- Monitoring and opportunity detection: AI scans public and specialized sources, aggregates weak signals and highlights emerging themes, taking on the routine aspect of market surveillance.
What AI will improve
- Portfolio management and prioritization: AI provides enriched dashboards, scenarios and operational recommendations so you can make trade-off decisions more quickly and with better information, providing strong support for daily decision-making.
- Strategic evaluation of initiatives: AI simulates scenarios, performs benchmark comparisons and proposes composite metrics, which moderately amplifies your analytical capacity to adjust strategy.
- Collaboration with R&D: AI accelerates idea generation, synthesizes experiment results and suggests prototype iterations, strengthening the productivity of exchanges and your role as a creative facilitator.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Innovation Manager, AI can already do 15% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master data analysis and governance with AI tools (LLMs + specialized tools) to measure ROI and KPIs.
- Strengthen leadership and cross-team collaboration using AI-powered project management and collaboration tools (LLMs + collaborative platforms).
- Develop strategic monitoring and scenario planning with AI (LLMs + traceable benchmarking and monitoring platforms).
3-year outlook
In three years, AI will accelerate innovation cycles and free up time for strategic leadership and decision influence. The core of the profession will remain human: judgment, creativity, and leadership will be key drivers, and you will work with AI tools to expedite decisions and experiments.
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
7Tasks most augmented by AI
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Frequently Asked Questions
No, not entirely. AI will transform certain operational and analytical tasks, but your role will remain central in defining the vision, prioritizing initiatives, and driving change. You will become more focused on anticipating opportunities and supporting teams in execution.
Demand will remain significant, but staffing levels will vary depending on projects and the company's maturity. The role will often be shared with cross-functional teams and external partners, which may reduce or increase internal needs based on the portfolio.
To stay relevant, you can strengthen your expertise in agile methodologies, data analysis, and innovation portfolio management. Focus on building both internal and external networks and your ability to translate results into strategic decisions. Adopt an experimental approach and document your successes to demonstrate long-term value.