Actuary
C1105
This job doesn’t expose everyone equally
⚡ AI hits junior profiles the hardest.
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 work as an actuary and AI augments your practice by handling repetitive analytical tasks. These tools speed up calculations and the production of summaries, while your methodological expertise and responsibility for choices remain central.
Your profession is augmented by AI, which automates repetitive tasks while you retain decision-making and interpretation.
What will change
- Perform statistical analyses to quantify risk, as AI executes calculations quickly and tests numerous models, making these operations largely automatable.
- Develop probability tables from historical series and external data, as AI aggregates datasets and adjusts distributions, reducing the time spent on these technical deliverables.
- Draft reports and generate presentations summarizing conclusions, as AI prepares text, charts and key points from results, easing the production of repetitive documentation.
What AI will improve
- Choice of assumptions and interpretation of results: AI proposes scenarios and diagnostics, allowing you to inform your decisions with expert judgment.
- Model exploration and validation: AI generates variants and identifies limitations, accelerating iterations and improving the quality of methodological choices.
- Communication and formatting: AI produces ready-to-use visualizations and summaries, which allows you to tailor the message to decision-makers and stakeholders.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Actuary, AI can already do 38% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Train and practice using AI tools: LLMs, specialized tools, particularly for backtests, calibrations, and dashboards.
- Strengthen skills in model explainability and risk governance (risk governance, model audits).
- Develop storytelling and presentation skills to structure recommendations for executives.
3-year outlook
Within 3 years, AI will have enhanced the speed and quality of analyses, but key functions will remain human: verification, governance, and advice. Teams will need to reorganize around tasks requiring human judgment and supervision, which may lead to a reshaping of roles and areas of specialization.
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
10Tasks most augmented by AI
10Your role isn't an average.
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Frequently Asked Questions
No, your profession won’t disappear, but its form will evolve. AI and automation can handle routine tasks and data collection, but you remain essential for interpreting results, assessing uncertainties, and advising executives on financial risks and strategies. You’ll gain value by focusing on explanation, framing issues, and communicating with business teams.
The need will persist, but your role will expand and become more complex. You’ll work more in teams, focusing on model governance, reporting, and strategic advice rather than isolated calculations. This way, you’ll remain a key lever for risk management and aligning decisions with business reality.
To adapt, you should invest in developing skills in data science, programming (Python/R), and data governance. Work on cross-functional projects that combine your business expertise with these technical skills to demonstrate your added value. Finally, prioritize communication and advisory roles with business teams to turn technical results into strategic decisions.