The use of generative artificial intelligence has already impacted the way professionals are hired today. Companies and HR sectors (Human Resources) are increasing the use of automation in recruitment processes. According to The Future of Recruiting report 2025, 37% of organizations adopted AI resources in selection processes.
The data highlights the change in the way talents are identified and evaluated in the job market. AI tools can automatically analyze resumes, identify technical skills and cross-reference information with the requirements required by the vacancy. Technology makes recruitment more agile, reducing operational tasks between selections.
Like this, just having experience and technical skills may not be enough for hiring. If the resume is not structured appropriately for automated reading, the candidate can be eliminated in the initial stages, even if you have qualifications compatible with the position. This is why experts recommend avoiding visually complex resumes, with columns, graphics, images, logos and tables.
How to adapt the curriculum for AI reading
These graphic elements make it difficult for the system to process information, resulting in an incomplete reading of the professional's data. But, at the moment, Strategies for optimizing resumes for automated platforms are already widely publicized. Among the main recommendations are clarity in the organization of information and the objective hierarchy of content, facilitating data extraction by recruitment systems.
In addition to using simple formatting in PDF or Word, the resume must contain keywords related to the vacancy, including technical terms and skills described in the opportunity announcement. Yet, It is recommended to use traditional titles in sections, instead of creative names, to facilitate automatic identification of information. Finally, Adapting the CV to each vacancy and company increases the chances of compatibility with the filters used in the selection processes.
