Streamlining HR – 9 ways generative AI will impact talent acquisition

1. Transforming job advertisements

AI can speed up and improve the quality of job adverts. However, there is a risk of generating similar texts to competitors if they also employ the same AI tool. To counter this, HR professionals should use the tool to enhance original drafts with unique selling points about the company.

AI tools can also be designed with inclusivity in mind, ensuring that job adverts aren't unintentionally biased or masculine in tone. They can help remove prejudiced language and adjust charged words, making job advertisements as inviting as possible to a wide array of candidates. Generative AI systems should also be able to recognize different types of responses from candidates, such as rejection messages, speeding up the communication process for recruiters.

2. Screening resumes with AI

AI can also take an unbiased approach to scoring candidate CVs, aiding recruiters in sifting through thousands of applications. By learning the desired profiles for certain roles, the AI can suggest similar candidates to those who have already been shortlisted, further streamlining the hiring process. AI tools will also be capable of identifying candidates who are potentially going to change their employer. By tracking “leaver” parameters such as employees who have been with the company for over two years, among other characteristics, it will be able to predict potential leavers. 

3. Maximizing efficiency with AI-powered interview notes

Interviews and meetings can often take up a significant portion of an HR professional's day, not to mention the time spent on documenting these interactions. A generative AI system can create  detailed notes from interviews, summaries, and outlines of action points, saving time.

4. Preparing job applications/offers

When preparing a job description for a new role, instead of starting from scratch, HR professionals can input the required skills and responsibilities into the AI system. The AI tool, trained on a vast dataset of job descriptions, will quickly generate a detailed and well-structured job description that clearly outlines the expectations of the role.

5. Preliminary screenings of CVs/applications

When the applications for the new role start pouring in, HR professionals often are faced with hundreds of CVs. Instead of going through each CV manually, they could feed them into an AI system. The AI, having learned to identify key skills and experience from thousands of CVs, will shortlist the most suitable candidates for the role based on the job description – saving valuable time.

6. Automated answers for personnel about HR-related questions

Navigating through HR-related questions, HR professionals often find themselves immersed in intricate issues involving employment law and wage calculation. If an employee has a question like "Am I entitled to overtime pay after eight hours of work?" or "How is my holiday pay calculated?", they could simply input their question into an HR slack channel. A generative AI HR bot would then provide an immediate, well-informed response based on its knowledge of relevant employment laws and the company's wage policies.

7. Automated alerts and summary reports for HR-related data and its anomalies

To manage employee records-related tasks more effectively and efficiently, HR professionals could use a generative AI system. The AI can be programmed to automatically track, summarize, and alert them about all anomalies across different HR-related data for each employee – for example, frequent sick leaves. AI can also keep a record of time bank balances, notifying HR professionals if an employee's balance is excessively positive or negative, which could indicate overwork or underutilization. Furthermore, such a system could track accrued vacation days, ensuring that employees were taking their entitled time off and helping with workload planning.

8. Summarizing employee feedback

HR professionals typically place a lot of emphasis on listening to employees by conducting employee satisfaction surveys. With an AI system, HR professionals could input all the survey responses, and the system would generate a summary, highlighting the main trends, issues, and suggestions. This will allow HR professionals to quickly grasp the overall sentiment and focus efforts on addressing specific concerns

9. Optimizing the available work and employees' skills

One significant challenge for HR professionals is ensuring that employees are assigned to tasks that use their skills effectively. With the generative AI system, they could input the available projects and the employees' skills, and the AI would generate optimal work assignments. This will ensure that employees are engaged and that their skills are used to their fullest potential, leading to higher productivity and job satisfaction.

Bear in mind that the capabilities discussed are largely hypothetical at this stage, as they entail further development and refinement. But with the pace of generative AI development, HR professionals should soon be able to benefit from the kind of scenarios outlined above.