New data from LinkedIn does not say that adding "artificial intelligence" to his profile is enough to get a mission. However, they show that AI's skills are gaining value well beyond technical occupations and that entrepreneurship is progressing as a professional path, particularly in France.
On 27 October 2026, LinkedIn said that “Founder” was among the ten fastest-growing roles in France, the United States, the United Kingdom, Germany and India between July and September 2026. The platform also reports that the share of job postings mentioning AI literacy skills increased by around 65% over twelve months.
Finally, LinkedIn notes that members who report IA culture skills are 78 % more likely to be recruited and 11 % more likely to be promoted than members who do not. These figures describe an association in network data. They do not prove that a keyword added today will cause a hiring tomorrow.
For a creator, coach, consultant, trainer or independent, the right strategy is therefore to link each IA skill to evidence: an identifiable project, a method, a measurable result and an understood limit. The aim is not to appear more technological. It is to become more understandable and credible.
Information verified on 28 October 2026. Not all international and French figures cover the same area. When LinkedIn does not provide a French breakdown for a statistic, this article does not present it as specific to France.
What LinkedIn actually released on 27 October 2026
In its official announcement on the evolution of professional opportunitiesLinkedIn crosses several signals from its network: declared professions, skills added to profiles, job offers and career movements.
The first signal concerns entrepreneurship. Between July and September 2026, Founder appears in the top 10 of the fastest growing roles in the United States, the United Kingdom, Germany, France and India. This means that this role is progressing in the LinkedIn data of these markets. This is neither a ranking of the best paid trades nor an official measure of the number of business start-ups within the meaning of INSEE.
The second signal concerns AI. Over the same period, AI Engineer was among the ten fastest-growing professions in Canada, Germany, India, France, Brazil, the United Kingdom and the United States. But LinkedIn emphasises a broader point: opportunities are not limited to people who build models.
The share of tenders requesting skills culture IA increased by around 65% over twelve months. LinkedIn uses this expression to describe the ability to use AI tools in a professional setting, rather than only the ability to develop them. Demand extends to marketing, design, product management, project management, administration and writing.
LinkedIn also says that only 1.2% of its members currently list an AI skill on their profile. Globally, founders are twelve times more likely than the average member to report such a skill. Four in ten professionals surveyed also say that AI has made them more likely to start a business.
This data is based on a considerable set: LinkedIn Pulse announces aggregating the signals of 1,4 billion members, 71 million companies and 42 000 skills. The size of the network makes trends interesting, but it does not turn self-reported profiles into a comprehensive administrative register.
Why “78% more likely to be hired” does not mean “add three keywords”
The most spectacular statistic deserves the most careful reading. LinkedIn notes that members reporting IA culture skills are 78 % more likely to be recruited and 11 % more likely to be promoted than those who do not.
This is a correlation. Those who inform these skills can also work in more dynamic sectors, have recently updated their profiles, publish more, take on training, take on more sought-after jobs or move to companies that are already investing in AI. The data does not dissociate the causal role of the IA competency line.
The basic probability is not given in the advertisement. A relative increase of 78 % therefore does not allow you to calculate your personal recruitment opportunity. Nor does she, alone, say anything about job level, salary, type of contract or quality of opportunity.
LinkedIn Pulse's methodology states that skills and experiences are provided by members. Coverage also varies by country and sector. These figures must be read as directional signals of the LinkedIn network, not as a universal labour market law.
The right conclusion is more useful: the ability to employ the AI in its profession becomes an increasingly present vocabulary in offers and courses. Your profile must show where this capacity produces value. A list of terms without context may attract a search, but it is not enough to gain confidence.
Turn an AI skill into evidence: two practical examples
LinkedIn lets you add up to 100 skills and indicate the roles in which you used them. Its Projects section also lets you associate up to five skills with a project and add images, documents, websites or presentations. The Featured section can highlight posts, articles, links and media as work samples.
The most credible structure has five elements: problem, use of AI, human intervention, result and evidence. It avoids two extremes: presenting AI as autonomous magic or completely hiding its role.
Marketing consultant automates analysis without inventing results
A consultant simply lists “ChatGPT” and “generative AI” among her skills. This remains weak evidence: no one knows whether she tested two prompts or transformed a real client workflow.
She could create a project titled “Monthly analysis of customer feedback”. The description explains that she organised verbatim feedback, defined a category framework, used a model to prepare classification, manually checked ambiguous cases and reduced preparation time from four hours to one hour and thirty minutes across three cycles. She adds an anonymised screenshot of the framework, a short methodology note and the limitations of the test.
Competency is no longer a slogan. It becomes a verifiable result. The consultant does not publish customer data or absolute promise; She shows what she really did and what she kept under human control.
A trainer transforms a course, but keeps the pedagogy
A trainer uses the AI to convert a masterclass into a summary sheet, exercise and questionnaire. On her profile, she links this competence to a concrete pedagogical project. She explains that the AI prepared the variants, while it defined the objectives, checked the answers and adapted the examples to its learners.
The evidence may include an extract before, a support page, completion rate, or anonymized returns from a cohort. It avoids saying that AI has "revolutionized learning" if it has not measured this effect.
This approach joins the VIFLY guide on how to create with the AI without becoming generic the tool accelerates part of the work, but experience, selection and responsibility remain the differentiating elements.
The viewpoint VIFLY : your profile must prove a value chain
The VIFLY perspective is simple: visible competence attracts attention; contextualized evidence builds trust; a future action turns this confidence into an opportunity.
Therefore, a professional profile should not resemble a software inventory. Toolnames change fast. The lasting value lies in the ability to diagnose a problem, choose a method, use the AI at the right stage, check the result and explain the impact.
This logic also applies to the title "Founder". Adding to his profile does not automatically create a company, customers or expertise. A credible founder specifies the problem he solves, the public he serves, the built product or service and the evidence already available.
The VIFLY guide on errors in an unprofessional profile shows why a wave bio, an invisible offer and the lack of evidence are losing opportunities. For an independent person, the phrase "jouses who get what" remains more useful than an accumulation of fashionable terms.
Once the promise is clear, article VIFLY on how to building an independent offer helps link expertise to an understandable service. IA skills can strengthen this offer; they do not replace its profit, its scope or its price.
Finally, LinkedIn remains a third party space. Its Selection section is useful, but its content is only visible to connected people and is not indexed in the LinkedIn search according to the platform documentation. One VIFLY LinkHub can serve as a stable destination to bring together case studies, resources, offer and other professional links.
Nuances, limitations and points to watch
The Founder data do not measure all business creations. They reflect the roles reported on LinkedIn between July and September 2026. An increase may reflect more entrepreneurial activity, updated profiles or both.
Not all IA skills figures are specific to France. The Founder role and the AI Engineer ranking explicitly cite France. The increases in 65 %, 78 % and 11 % are presented in the general analysis of LinkedIn; they must not be converted into a French rate without a published breakdown.
A declared jurisdiction is not a certification. LinkedIn distinguishes between the member's added skills, recommendations, projects and certain verified competencies. Do not present self-declaration as an independent validation.
Do not publish confidential data to make evidence. Anonymize the files, remove the identifiers, get the necessary permissions and replace sensitive captures with a clearly reported demonstration or fictitious data set.
Avoid unverifiable results. “Tenfold productivity” is meaningful only if its scope, period and method are explained. Prefer a modest but traceable figure to an unsupported spectacular promise.
Access to opportunities remains uneven. LinkedIn indicates that women account for about a quarter of new IA hires and that more than 90 % IA roles have been assigned in 2025 to individuals with at least one bachelor's degree. Skills alone therefore do not erase educational gaps, geographical differences or recruitment biases.
What should you do now? A seven-step action plan
- Choose three skills you have actually used. Remove the tools simply tested and keep the capabilities mobilized on a concrete project.
- Connect each skill to an experience. Indicate in which mission, activity or function it served.
- Create a project sheet. Describe the problem, your method, the role of the AI, your human control and the result achieved.
- Add sharing evidence. Use an anonymized document, an advance, a demonstration, a presentation or a detailed publication.
- Rewrite your title and summary. Start with the audience and result, then place the AI as a method when it is really relevant.
- Prepare the next action. Refer to a case study, offer, form or reservation rather than a confusing list of links.
- Measure the useful signals. Follow profile visits, qualified requests, messages, reservations and questions received, not just impressions.
In particular, a consultant can extend his profile to a page clearly showing his service, then to VIFLY Booking when an appointment is the logical follow-up. This continuity joins the VIFLY analysis of LinkedIn Advice Sessions : the monetisation of expertise depends first of all on proof and an understandable offer, even when the tools integrated with LinkedIn are not available in France.
LinkedIn figures therefore do not justify a keyword race. They point to a deeper development: knowing how to use AI becomes a cross-cutting competence, while more professionals present themselves as founders. Those who will turn this trend into opportunities will probably be those who will be able to show what they have built, how they have verified it and why it matters to a real person.
Frequently Asked Questions and Sources
Does the Founder role really progress in France?
Yes, according to LinkedIn’s network data. Between July and September 2026, “Founder” was among the ten fastest-growing roles in France, as well as the United States, the United Kingdom, Germany and India. This ranking does not replace official business-creation statistics.
Is adding an AI skill automatically increasing the chances of hiring?
No. LinkedIn notes that members who report these skills have better professional results, but this relationship does not prove that adding a keyword causes hiring or promotion.
What is an AI culture competence?
It is the ability to use artificial intelligence tools in a professional setting: to prepare, analyse, produce or automate while understanding limitations and the need for verification. It differs from the engineering work of building AI systems.
How to prove IA competence on LinkedIn?
Link it to a role or project, describe the problem addressed, explain your human contribution and add media or a verifiable result. LinkedIn lets you associate up to five skills with a project.
Should the names of all the tools used be displayed?
No. Mention the important tools, but focus on sustainable competence and result: analysis, automation, visual creation, research or structuring. The name of a tool can change faster than your know-how.
Does a LinkedIn Selection section suffice as a portfolio?
It is useful to highlight samples, but LinkedIn indicates that it is only visible to connected members and that its content is not detectable by research. A controlled external destination remains useful.
Sources
- LinkedIn Newsroom — LinkedIn data shows where opportunity is emerging as work changes, 27 October 2026.
- LinkedIn Pulse — Work is changing fast. Access to opportunity is changing with it, 27 October 2026.
- LinkedIn Pulse — Work & AI Pulse and methodology, data updated in September 2026.
- LinkedIn Help — Add and remove skills on your profile.
- LinkedIn Help — Add projects to your profile.
- LinkedIn Help — Featured section on your profile.