Recruiter tests AI across 10 tasks, finds broad impact on daily work

A recruiter recently tested how artificial intelligence has changed their daily work by applying AI tools to 10 common recruiting tasks. The experiment, reported by HRMS News, found that AI can assist with everything from drafting job postings to analyzing recruitment data, though human oversight remains essential.

The recruiter, who was not named, used AI tools like ChatGPT and Claude across a range of activities that go beyond simply talking to candidates. The tasks included creating hiring manager hearing sheets, writing job postings, generating images, coordinating interview schedules, and analyzing numerical data. The goal was to see how much of the routine computer-based work could be streamlined.

AI assists with job posting creation and revision

One of the first areas where AI proved useful was in preparing to meet with hiring managers. The recruiter used AI to organize a list of questions to ask, ensuring that all necessary information for a job posting would be collected. This included details about ideal candidate profiles, essential requirements, and workplace atmosphere.

After gathering information from hiring managers, the recruiter used AI to draft the job posting itself. However, the AI-generated text was not used as a finished product. The recruiter reviewed it for accuracy, appropriateness, and potential to mislead applicants. AI was also used to revise job postings when hiring managers requested changes or when application numbers indicated a need for adjustment. The recruiter could ask AI to make text easier to understand, more concise, or more appealing, and then compare multiple rewritten versions.

Beyond text: images, scheduling, and monitoring

AI’s role extended beyond text generation. The recruiter used image generation AI to create visuals for job postings, tailoring images to different roles such as store staff, customer support, or system engineers. This helped convey the nature of the job visually.

For interview scheduling, AI was used to create and refine standard communication templates, such as date confirmations and reminders. The recruiter emphasized that AI was not left to handle scheduling autonomously but was used to streamline the creation of routine messages.

AI also assisted with monitoring recruitment metrics. The recruiter used AI to help organize what should be checked, such as comparing numbers to previous weeks or targets, and identifying where drops occurred. When analyzing data, AI was used to list possible factors behind changes and to point out potential blind spots, serving as a sounding board rather than an authority.

Strategic thinking and practical implications for recruiting teams

The experiment highlighted that AI can support strategic tasks, such as proposing new recruitment measures. The recruiter asked AI to generate 20 ideas for a specific challenge, then evaluated them based on feasibility, cost, effort, fit, and measurability. This approach expanded the range of options considered.

For HR and recruiting teams, the findings suggest that AI can reduce time spent on repetitive computer tasks, allowing recruiters to focus more on human interactions and judgment. However, the recruiter stressed that AI’s output is not always correct and should be used as a tool to enhance thinking, not replace it. The ultimate goal, according to the report, is not to use AI for its own sake but to improve recruiting work overall, such as by identifying why applications are low and addressing underlying issues.

The recruiter also noted that combining AI with automation mechanisms can further streamline workflows, such as deploying job information to multiple platforms at once. This points to a broader shift in how recruiting work is structured, with AI handling initial drafts and data organization while humans provide oversight and strategic direction.

Sources: note