In the digital age, demand for highly skilled IT professionals continues to grow. Up to 97 million new AI and automation jobs could be created worldwide by 2030, while 75 million positions will be eliminated due to technological advances (World Economic Forum). This presents HR with the challenge of finding people with the right, often unique competencies.
Thanks to the speed of information processing, AI can help weed out the candidates with the best fit for the organization’s needs from a large number of applications. As a result, automating processes can create engaged, aligned teams and increase the efficiency of the HR department.
In small companies, where each employee often performs multiple functions, saving time and resources is extremely valuable. Automating the recruitment process allows you to quickly and efficiently wade through hundreds of resumes, selecting only those that best match the requirements of the position. This allows the HR team to focus on direct contact with selected candidates, which is particularly important in building a positive image of the company as an employer.
Automating recruitment can:
It is also worth noting the positive impact of automation on the candidate experience. Job seekers appreciate a shorter recruitment process and quick feedback. This is especially important for small businesses, which often compete for talent with larger players in the market. By providing an efficient and friendly recruitment process, small companies can attract quality candidates who are interested in more individual approach and development opportunities that smaller organizations offer.
Source: DALL-E 3, prompt: Marta M. Kania (https://www.linkedin.com/in/martamatyldakania/)
Traditional methods for finding job candidates, such as:
On the other hand, a well-conducted traditional recruitment process gives the candidate valuable feedback and allows him or her to select a person who will fit into the company’s team in many respects.
Undoubtedly, automation of recruitment helps speed it up and solves the problem of personal biases, but the pros and cons calculus does not give a clear result. In place of the problems associated with traditional recruitment, other problems arise:
Speed | Risk of excluding valuable candidates |
Wide range | Unclear evaluation criteria included in algorithms |
Consistency | Difficulty in assessing soft skills |
Lower costs | Distrust of candidates |
For example, the system may reject a good candidate simply because his or her resume does not contain certain keywords. For this reason, a combination of automation and human evaluation works best.
Artificial intelligence can analyze hundreds of applications in seconds and select the resume that best matches the requirements. How is this possible?
The key is machine learning. Algorithms analyze examples of successful recruitments and learn to recognize patterns that indicate a good candidate fit. Based on this, they can predict the degree of fit between new applications and company requirements and suggest the most promising ones.
Another technique is the creation of so-called “digital twins” of employees, i.e. detailed profiles of ideal candidates created by algorithms based on data analysis. New applications are compared with such a model.
AI-based recruitment automation tools – such as:
Source: Beamery (https://beamery.com/talent-acquisition/)
They successfully identify qualities such as creativity, ability to cooperate, or initiative. They also make it possible to analyze the commitment and satisfaction of current employees.
How does recruitment automation translate into team development and engagement?
First, it helps build a team with a high match of competencies to the company’s needs. Second, it saves the HR department time, which can be spent on skills development and team integration. Third, algorithms can assess the aptitude and motivation of candidates, which is conducive to building an engaged team.
Equally important, the use of AI tools does not end with recruitment. It can play a significant role in developing employees’ skills. For example:
– AI systems identify competency gaps in the team and suggest appropriate training,The modern trend in HR called skill-based hiring is ideally combined with AI capabilities. In this approach, what matters are the specific skills and aptitudes of candidates, not just experience or diplomas.
At the same time, the development of AI in HR is opening up new opportunities for personalizing the recruitment and development of employees. AI can help identify skill gaps and suggest individual development paths, which is key to keeping employees engaged and satisfied.
In conclusion, although AI is not yet widely common in the recruitment processes, its potential in this area is enormous. In the future, we can expect AI to play an increasingly important role in identifying and developing talent, making it an extremely promising tool for the future of HR. However, we need to ensure the transparency of the assessment algorithms and the good quality of the data on which the models are taught, so that they do not contain biases.
If you like our content, join our busy bees community on Facebook, Twitter, LinkedIn, Instagram, YouTube, Pinterest, TikTok.
Author: Robert Whitney
JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.
Pinterest, which made its debut on the social media scene a decade ago, never gained…
Thinking carefully on a question of how to promote a startup will allow you to…
A podcast in marketing still seems to be a little underrated. But it changes. It…
Video marketing for small business is an excellent strategy of internet marketing. The art of…
Are you wondering how to promote a startup business? We present crowdfunding platforms and websites…
How to use social media to increase sales? Well, let's start like that. Over 2.3…