How is artificial intelligence changing the role of human resource management in a company?

Artificial intelligence is significantly changing the role of human resources management by automating routine tasks and freeing up HR professionals for more strategic work. This change doesn't mean the disappearance of HR, but rather a shift in focus towards people management, culture development, and supporting the business. In the following questions, we will explore what this means in practice, especially from the perspective of small and medium-sized enterprises.

What tasks can AI take over from HR?

AI can take over repetitive and data-intensive HR tasks such as resume screening, shift scheduling, absence tracking, onboarding material distribution, and survey analysis. These are tasks that involve processing large amounts of data or following clear rules, and AI can perform them quickly and consistently.

Practical examples of HR tasks taken over by AI include:

• Automated pre-screening of applicants based on predefined criteria
• Automating onboarding processes with chatbots
• Analysis and reporting of personnel survey results
• Employment contract and document template management
• Absence and vacation balance tracking
• Identifying training needs through performance data analysis

It is important to note that AI handles tasks that have a clear structure and a measurable outcome. Situations requiring discretion, empathy, and human understanding still remain the responsibility of the HR professional.

How will artificial intelligence change the recruitment process in practice?

Artificial intelligence is transforming the recruitment process by accelerating candidate screening, improving the candidate experience, and helping to identify the best-suited candidates from a large applicant pool. In practice, AI analyzes applications, automatically answers candidate questions, and can even schedule interviews without manual coordination.

AI-aided recruitment steps are generally divided as follows:

• Recruitment of applicants Artificial intelligence identifies potential candidates from networks and platforms based on the job description.
• Preliminary round Automatic evaluation based on the content of the application and the set criteria
• Communication Chatbots answer applicants' questions and keep them updated on the progress of the process.
• Interview analysis Some systems analyze video interview responses and identify certain features

Although AI significantly enhances recruitment, the final hiring decision should always be left to a human. Recruitment is a human process, and assessing fit requires an understanding of context that AI does not yet possess.

Can AI completely replace an HR professional?

AI cannot completely replace an HR professional because a significant part of human resource management requires human judgment, emotional intelligence, and situational awareness. AI is a powerful tool, but it cannot lead change negotiations, support a supervisor in a difficult personnel situation, or build organizational culture.

The role of an HR professional will not disappear, but it will change. As routine tasks are automated, HR can focus on areas where humans are irreplaceable:

• Supporting and coaching leaders
• Developing Organizational Culture
• Strategic Human Resource Planning
• Conflict resolution and managing difficult situations
• Building trust between staff and management

In other words, AI makes the HR professional better, not unnecessary. At its best, AI frees up HR to do what humans are best at: leading and supporting people.

What are the risks associated with using AI in HR?

The use of AI in HR involves several significant risks, the most prominent being algorithmic bias, data privacy issues, and over-reliance on automation. These risks can lead to unfair decisions, breaches of legal obligations, or the loss of employee trust.

Algorithmic bias and discrimination risks

AI learns from historical data, and if past recruitment or performance evaluations have contained systematic biases, AI can repeat and reinforce them. This is a particularly sensitive issue in recruitment, where automated screening can discriminate against certain applicant groups without anyone noticing.

Data Protection and Processing of Personal Data

HR data is by nature highly sensitive. AI systems handle large amounts of personal data, which places strict requirements on compliance with GDPR regulations. The company must know where the data is located, who can access it, and how it is protected.

Many noteworthy risks include the lack of transparency in AI decision-making, staff experience with oversight, and the uncritical reliance on AI-generated recommendations without human review. Risk management requires clear internal policies, responsible persons, and regular evaluation.

How can a small and medium-sized enterprise (SME) adopt artificial intelligence in HR?

A company can adopt AI in HR by starting small and concrete: choosing one repetitive process, such as applicant communication or employee surveys, and automating it first. Comprehensive change does not happen all at once but step by step.

A practical approach for SMEs:

1. Map the current state Identify which HR tasks are the most time-consuming and repetitive in nature
2. Choose the appropriate tool: Find lightweight, ready-to-deploy solutions that integrate with existing systems
3. Pilot limited: Try it first in one process before wider implementation
4. Evaluate the results: Measure whether automation saved time and improved the quality of the outcome
5. Expand thoughtfully: Take it one step at a time, when the first step works well

Many small and medium-sized enterprises (SMEs) do not have an in-house HR department that can lead this change. In such cases, an external HR partner can help both in clarifying processes prior to AI implementation and in selecting suitable solutions. Learn more To Töölön Vire's HR Services and see how we can support your company's HR management in practice. If you would like to discuss your situation in more detail, contact So let's set up a meeting.