- Finance and Technology Posts Show Highest AI Adoption Among LinkedIn Content Creators
- Mid-level professionals use AI more to maintain visibility and career growth
- Senior executives rely on AI to efficiently manage high communications performance
The rise of artificial intelligence tools has transformed the way professionals communicate on LinkedIn, creating a notable increase in automated content across multiple industries.
In a new Publicate study of nearly 1,000 publications, sectors that rely on rapid production and data-driven workflows show the greatest incorporation of AI-generated material.
Finance leads with 73.8% of posts reflecting the use of AI, followed by technology at 57.8% and legal at 54.7%.
Age patterns reveal different pressures
Industries based on trust and personal interaction, such as healthcare and human resources, maintain lower levels of reliance on AI.
In healthcare, 45.8% of posts show AI contributions, while HR reports 39.7%, reflecting a cautious approach toward automation.
Analysis by career stage shows mid-level professionals as the most active users of AI tools, with adoption rates reaching 54.42%, reflecting the need to maintain visibility, demonstrate expertise and show career progress in increasingly competitive environments.
Senior executives follow closely at 53.61%, with a large proportion using AI to meet the demands of high communication performance efficiently.
Entry-level staff (52.17%) also show a high reliance on AI, offsetting limited experience or uncertainty in producing polished positions.
On the contrary, senior (46.42%) and junior (45.00%) professionals show comparatively less usage.
This suggests a preference for producing personal content or a greater reliance on internal communication channels rather than public posts.
Sectors such as construction and education show moderate levels of AI use, reflecting a balance between traditional communication methods and selective automation.
In these industries, posts typically include summaries of project updates, research results, or instructional content, while narrative or reflective posts are still largely written by humans.
The type of content influences AI engagement. Posts that convey structured information, such as insights into data, trends, or technical updates, are most often created with AI support.
In contrast, content that focuses on personal experience, mentoring, or guidance tends to be written without automation.
There are also variations within sectors. Even in industries with higher overall adoption, some posts maintain a narrative or conversational style, and content aimed at sharing industry updates or professional insights with a broader network shows higher AI engagement rates.
Posts written for internal discussion, professional reflection, or relationship-focused communication tend to rely more on human authorship.
Industries with structured processes or tasks that generate measurable results also tend to integrate AI more frequently.
On the contrary, sectors where interpersonal skills, advisory functions or trust-based interactions are essential show a more limited involvement of AI.
“AI has become the new professional assistant,” said Chris Bradley, founder of Publicate.
“But as automation becomes more common, there is a growing question about whether efficiency is starting to outweigh authenticity.”
Companies and career sites increasingly recognize the efficiencies that AI brings, but they also face challenges when evaluating the credibility of automated content.
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