Always setting AI to maximum? That is often a mistake
Low, medium, high, or maximum: learn how to choose the right AI reasoning effort without wasting time or budget.
6 min read
AI rarely enters a company by suddenly replacing an entire profession. It usually starts by helping with one specific task: summarizing a document, preparing an email, sorting requests, or finding information.
That distinction matters. A profession combines experience, relationships, decisions, and sometimes physical skills that AI does not provide. Some steps in the work can still become faster or less tedious.
The International Labour Organization estimates that one in four workers has a job with some exposure to generative AI. It nevertheless considers job transformation more likely than complete replacement.
Practical uses across professions
The following examples require no particular technical expertise. They start with familiar situations and keep a person responsible for the outcome.
| Profession or sector | What AI can prepare |
|---|---|
| Administration and management | Summarize a procedure, prepare meeting notes, organize rough notes, or draft a letter. |
| Human resources | Rework a job posting, prepare interview questions, or summarize responses without making the hiring decision. |
| Sales and customer service | Summarize previous exchanges, sort requests, and suggest a reply to personalize. |
| Finance, accounting, and legal work | Extract information, compare two documents, and prepare a list of points to review. |
| Communications and creative work | Explore angles, draft a brief, adapt copy to several formats, or prepare a translation. |
| Software and engineering | Explain documentation, prepare tests, structure a ticket, or summarize an incident. |
| Education and training | Adapt an explanation, create exercises, or turn long material into revision notes. |
| Healthcare and social support | Structure administrative notes or find information in approved professional resources. |
| Industry, skilled trades, and field work | Turn a voice note into a report, prepare an estimate, or organize a materials list. |
The common thread is simple: AI prepares material that a person already understands and can verify. It is less useful when asked to make a sensitive decision on its own or handle an unfamiliar situation.
What should remain human
A well-written answer can still be wrong. A classification can reproduce bias. A summary can omit the detail that changes the whole decision. AI does not bear the consequences of its mistakes.
A person should keep the final decision when the work concerns:
- someone’s health, safety, or rights;
- hiring, evaluation, promotion, or disciplinary action;
- a financial, legal, or commercial commitment;
- an important message sent on behalf of an organization;
- an unusual situation that requires experience and judgment.
The OECD notes that occupations with high AI exposure still require management, problem-solving, communication, and social skills. Using AI therefore adds a skill: knowing what to delegate and how to check the result.
How to choose a first use case
The best starting point is not the most spectacular project. It is a frequent, low-risk task with an outcome that is easy to review.
- Choose one task. For example, summarize notes, prepare a draft, or sort requests.
- Show the expected result. A real example makes it easier to distinguish a useful answer from a merely convincing one.
- Measure the total time. Include preparation, review, and corrections.
AI does not need to be deployed everywhere. One well-chosen use can already remove a tedious task from the week.
Basic precautions
The first rule concerns the information shared with the tool. The French data protection authority recommends that users never share personal or confidential information with a public generative AI service.
Before getting started:
- use a tool approved by your organization;
- share only the information needed for the task;
- check facts, figures, and sources;
- name the person responsible for the outcome;
- keep another way of working available if the tool is unavailable.
Sensitive information calls for a separate decision between a local solution and an online service. Our guide to local, cloud, and hybrid AI explains the main differences.
What Stellary adds
In Stellary, an AI use can be connected to the work it supports: project documents, tasks, decisions, and history. An agent can receive a clear mission, such as preparing meeting notes or sorting requests, without being given access to everything else.
Autonomy and approval requirements can vary by task. The aim is to make the result visible in the right project context while the team stays in control.
Official sources
- ILO — Generative AI and jobs: a refined global index of occupational exposure
- OECD — How AI is changing workers’ tasks and skill requirements
- CNIL — Questions and answers on using generative AI
- CNIL, France Num, and CPME — Practical guidance for small businesses
FAQ
Is AI useful in every profession?
It can help in many professions, but with different tasks. The most direct uses involve documents, research, sorting, and first drafts.
Do people need technical skills to use AI at work?
No. They mainly need to explain the expected result and review the answer. Professional knowledge remains essential for spotting mistakes.
Which use case should a team start with?
Choose a repetitive, low-risk task that is easy to verify. Then measure the total time and the number of corrections required.
Will AI replace entire professions?
Available studies point mainly to a transformation of tasks. Most professions also involve judgment, responsibility, relationships, and physical skills that remain human.
