Impact of AI and Automation on Future of IT Staffing

AI and automation have significantly impacted the future of IT staffing. The evolution of these technologies has changed how IT professionals are hired, managed and deployed. In this article, we will review and explore AI and automation’s impact on staffing and recruiting in the IT industry.

Before exploring the impact of AI and automation on future IT staffing, let’s start with the basics and learn what artificial intelligence actually is.

What is Artificial Intelligence?

Artificial Intelligence is an area of study in computer science whose goal is to develop an intelligent machine with human-like problem-solving capabilities that can engage in human-like processes such as learning, reasoning and self-correction.

The definition of AI has changed over time due to rapid developments in the field. As of recent, engineers are keenly focusing on developing a machine that can – “imitate intelligent human behavior”.

Now let’s get back to our concern about the significant impact of AI and automation on the Future of IT staffing.

Impact of AI and Automation on Future of IT Staffing

As the next technological revolution, AI and automation haven’t left any industry untouched. IT staffing and recruiting industry is also one of them. Around 70 % of the staffing and recruiting firm executives consider that AI and automation will effectively improve the recruiting process.

Some IT staffing firms have even adopted the early forms of AI to make their business even easier. In the section ahead, we will study the key impacts of AI and automation on future IT staffing.

Automate Recruiting and Resume Sorting

IT staffing agencies can automate many of the manual processes that are tiring and time-consuming. Just for example, recruiters can automate the screening of job applications. It will save the time recruiters spend sorting the resumes to identify the best potential candidate for a given role.

Impact of AI and Automation on IT Staffing

Humans become biased while sorting resumes. They may judge the candidate based on their gender, their race, some kind of disability or any other quality. Well, it is quite difficult to out grain or completely eliminate this biasness. However, AI offers unintended benefits by eliminating the first stage of recruiting biasness.

Thus, automation would ultimately streamline the hiring process, thereby making it faster and more efficient for IT staffing agencies.

Use Deep Learning to Improve Candidate Engagement

With deep learning, AI can improve the rate of candidate engagement. Let’s say, for example, an IT staffing agency can make use of AI to improve its communication with clients.

Each client possesses a unique personality and has different likes and dislikes. For say, some might like to read text messages; some might like to be notified through emails and some like it over the phone call.

employee engagement

So, adapting the deep learning model will help discover the best way to communicate with the clients. Like, the model can learn to identify what time of the day the clients are more likely to receive and respond. The model would keep trying different forms of communication methods until it identifies the best method and time to communicate with each individual client.

This ability would streamline and improves communication with the clients.

Smart Virtual Assistant

Most IT staffing firms are adopting some or other form of virtual assistance. As soon we land on some staffing agencies’ websites, a chatbot encounters us offering us to ask any question that we have.

Smart Virtual Assistant

These chatbots get better at chatting over time and will guide you with your queries and let you explore more services and products.

Analyze Staffing Firm’s Big Data

Analyzing big data is challenging for almost all companies that have collected it over the years. Now what kind of big data the IT staffing firms have?

  • Social media profiles, such as – LinkedIn
  • Resume databases
  • Performance reviews
  • Business cards and many other things

By analyzing the big data, the IT staffing firm’s executive can identify which potential candidates are more likely to show up for the interview, which candidate seems more promising to crack the interview, and which candidates will complete their assignment in time.

Analyze Staffing Firm’s Big Data

So, by analyzing the candidate’s past behaviors, the AI model can predict the candidate’s future actions.

Robotic Process Animation (RPA)

RPA is an AI technology that is designed to perform repetitive, tiring tasks quickly and accurately. This would save the time and cost of an IT staffing firm. The RPA technology frees the executives from skipping the task they don’t enjoy, thereby giving them the time to work on the things that actually require human skills, such as –

  • Emotional intelligence
  • Analytical Reasoning
  • Judgment, etc.

Concluding we can say that AI and Automation are going to have a significant impact on the future of IT staffing. It can exclusively change how IT start-ups build and scale their technical team. With AI and automation, staffing agencies could work more efficiently.

RPA

However, it is most important to note that IT staffing agencies must use technologies like AI and automation only to reduce the efforts required during staffing and recruitment. It must not entirely replace human judgment and decision-making.

So, if you think that AI and automation would entirely replace humans, then you definitely have not met humans. 

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