Talent acquisition has changed a lot over the years, evolving from traditional newspaper ads, job boards, networking platforms, and communities to personal networks and referrals. But now, with the growth of automation and artificial intelligence (AI) in recent years, the process focuses more on coming up with creative solutions to improve the efficiency of hiring.
The Evolution of Talent Acquisition
Key HR management tasks, such as performance management and talent acquisition, used to be costly and dependent on personal opinion. However, with the introduction of AI, these processes have become more data-driven and efficient.Hiring before AI
Before AI, recruiters had to do all the tasks themselves, starting from creating and sharing job ads and going all the way up to the interviews and job offers. As an example, posting one single job could last up to 30 minutes, while sorting through resumes and background checks might take another 20–30 minutes per candidate. On top of these, add 20–60 minutes for interviews and the time for debriefing and offer creation, and a very time-consuming process is what results. This manual workload not only slowed down hiring but also increased the chances of limited talent reach and selecting unsuitable candidates.Hiring After AI
Artificial intelligence (AI) in recruitment has indeed made the recruitment process more efficient and has also led to the mass automation of this process. It automates the first line of hiring so that recruiters can quickly hire new employees, make better decisions based on the available data, and at the same time, help reduce their potential biases. One of the critical areas where AI is extensively applied is:- Sourcing candidates: AI helps recruiters find the best-matched candidate more effectively by identifying individuals who match the job requirements from several online platforms like LinkedIn.
- Screening resumes: Artificial intelligence (AI)-powered technologies can examine and screen numerous resumes within no time to make a match of the desired job requirements over the keywords, experiences, and skills of the candidates in the most efficient way.
- Chatbots: Chatbots handle initial interactions, respond to FAQ, and even evaluate applicants’ skills and abilities before moving them to the next stage.
- Automating Assessments: AI-powered solutions give the recruitment team and HR personnel to collect a wealth of data for each of the candidates to make the most efficient hiring decision.
Benefits of AI in Talent Acquisition
- Improved decision-making: Artificial intelligence (AI) and Automation provide access to data-driven insights that can help recruiters make more informed hiring decisions. These data-driven insights allow organizations to make more strategic decisions about talent acquisition and workforce, which lead to accurate, effective candidate selection and better hiring outcomes.
- Increased efficiency: A major pro of AI is that it increases the efficiency and speed of repetitive tasks like resume screening and interview scheduling. AI-powered tools can swiftly and easily go through resumes and identify top candidates that match the job. Scheduling tools such as Calendly can arrange interview times as well as send follow-ups and reminders for candidates spacing time for recruiters for other tasks.
- Enhance candidate experience: Nowadays, your reputation as a brand depends on the candidates' experience in their hiring process. This is why artificial intelligence is important and plays a vital role in enhancing this process. As we mentioned previously, chatbots can help by giving them the answers they need and the information about the role and company, although the assessments can provide them with insights they need to know about their skills and capabilities.
- Overcome recruitment bias: Forbes reports that 48% of hr managers admit that bias plays a role in candidate selection. Automation can reduce the unconscious bias in the hiring process; they are designed to select people upon their abilities and qualifications, with no bias for age, gender, or religion.