Learn how AI tools can improve your experiences in HR from automated recruitment practices to tailored employee performance reviews and training plans.
Artificial intelligence (AI) is reshaping how human resource (HR) teams recruit, onboard, retain, and upskill employees. By leveraging AI in your HR department, you can streamline existing processes and build a more efficient, data-driven workplace. In fact, the global AI in HR market was valued at $3.25 billion in 2023 and is projected to grow at a compound annual growth rate of about 25 percent per year through 2030, reflecting a rising demand for more efficient HR processes [].
Explore how you can use AI to your advantage in different areas of HR. Plus, consider the advantages, disadvantages, and use of AI in HR examples to build a comprehensive understanding of AI and the role it plays in this field.
AI has many practical uses in HR, including streamlining repetitive tasks throughout the hiring and onboarding processes and providing deeper insights into employee behavior and workforce trends. Rather than replacing human roles, human resource professionals use AI to improve overall efficiency and enhance decision-making where applicable.听
The use of AI looks different in each facet of HR. To understand the role AI plays in each step, consider the following.
AI tools can help enhance the hiring process by analyzing job applications, scheduling candidate interviews, and profiling potential candidates to indicate who may be a good fit. For example, during recruitment, you might use AI to:
Generate interview questions and job descriptions
Identify candidates with relevant skill sets
Rank potential hires based on their experiences
Communicate with potential candidates via chatbot
Screen potential candidates and invite them to apply
Once you鈥檝e recruited and hired new employees, you can continue to use AI during the onboarding process. You can:
Generate personalized new hire training materials and documents
Automate the delivery of required information
Provide continual onboarding support via chatbots
AI provides objective insights into employee performance driven by data, giving it the potential to support a fair evaluation process and provide personalized feedback. AI can integrate and capture more types of data than humans, collecting and analyzing Slack conversations and emails regarding work quality to provide a more comprehensive overview of employee performance.听
Not only does this real-time feedback system help employees stay on track and improve engagement, but it also bypasses human error, such as recency bias. AI systems collect data throughout the year, providing a more complete assessment, rather than relying on periodic assessments or actions directly prior to review.
According to McKinsey talent trends research, providing opportunities for employees to continually learn and develop is a key driver of business success []. To keep up with the demand for employee growth opportunities, many successful companies employ adaptive learning, which involves learning programs that match the needs and interests of individual employees.
AI provides a way to perform precise skills assessments of employees, personalize their growth opportunities with tailored learning paths and assignments, and identify opportunities for employees to reskill or upskill within their current role. It also identifies pathways for employees to move within the company, helping to retain talent as your employees evolve and want to try new responsibilities.
AI provides a way to automate payroll processing, reducing the workload of HR professionals. These automated systems can reduce pay errors, consider regulations and compliance concerns, and provide transparent documentation of employee pay records and changes over time.
In addition, AI technologies can track organizational spending and budgeting, identifying areas of overspending or strain on the company. This helps leaders make informed decisions about where to invest resources, what initiatives are succeeding, and what areas could use improvement.
By incorporating AI into your HR processes, you can reduce the time and effort you spend on repetitive tasks (such as writing job descriptions) while improving the productivity of your HR pipeline at each stage. For example, you can streamline your hiring and onboarding processes, integrate large volumes of HR data to make the most informed decisions, and empower your employees by providing tailored growth and learning pathways based on their roles and goals.听
By continually incorporating a wide range of employee-specific data, you can also quickly identify gaps in employee skills and areas of opportunity. This helps you continually strengthen your organization鈥檚 performance by identifying potential obstacles before they become a problem. Plus, your employees can build needed skills quickly, helping them continue to advance and boosting overall engagement and satisfaction.听
The major disadvantages of AI in HR revolve around ethical and security concerns. For AI to provide data-driven insights, you need to provide the technology with a large amount of data. This inherently leads to concerns around privacy and security risks, especially with sensitive employee information.听
In addition, AI algorithms may have internal biases that aren鈥檛 immediately apparent. This is an important area for human oversight, as you want to ensure equity and fairness across your employee base. To minimize the disadvantages of AI in HR, combining human interaction and oversight with AI technology can help maximize the benefits without compromising employee privacy or perpetuating inequity within the workplace.
AI is unlikely to replace HR. Instead, AI allows HR professionals to streamline operations and focus their energy on areas that benefit more from human insight and creativity. For example, while AI can automate payroll processes or provide spending recommendations, it lacks a human perspective. This hinders it from making nuanced decisions, such as how to build an effective team or resolve conflict between two employees鈥攁reas that are important when it comes to HR.
As AI progresses, you can employ different algorithms based on your needs as an HR professional. For example:
You might use generative AI to generate job descriptions and performance reviews.
You might use deep learning algorithms to provide recommendations for employee and organizational success.
You might use automation to detect fraud or process payrolls.
You can find many AI-powered HR platforms to streamline the integration of AI technologies into your workflow. Depending on your HR needs, you can choose between options such as Workday, HireVue, and SAP SuccessFactors. Considering their unique features can help you decide which one best fits your needs.
Best for: Large organizations needing an all-in-one HR solution
Workday provides a combined platform for employee experience, payroll processing, and human capital management. Many large organizations use this platform, including Southwest Airlines, Best Buy, and Puma. Plus, if you expand to integrate AI into finance, IT, or legal matters, Workday has options for platform extensions.
Best for: Organizations focused on high-volume recruitment and hiring
HireVue is famous for its AI-powered video interview features, which are able to analyze candidate responses and behaviors and provide insight into their communication skills. If you work in a company that utilizes high-volume hiring, then the speed and consistency of HireVue may come in handy.听
Best for: Organizations wanting to optimize employee performance, especially across global offices
SAP SuccessFactors is part of the SAP business suite, which is convenient for organizations comfortable with other SAP applications. With SAP SuccessFactors, you can employ automated compliance processes that adapt across office locations (a great feature for global organizations), identify talent and recruit and onboard new employees, and automate time and payroll tracking across departments.
Because AI tools can integrate into each stage of the HR process, you can take advantage of this technology in many different HR positions. As a human resource specialist, you might use AI to identify hiring needs, streamline orientation processes, and assist with the interview process. According to the US Bureau of Labor Statistics, you can expect to earn a median annual salary of $72,910 in this position, with a positive career outlook of 8 percent growth from 2023 to 2033 [].
As a human resources manager, you might use AI to help organize your workforce talent, oversee benefit programs, design tailored training programs, and improve recruitment processes. In this role, you often have more responsibilities and take on leadership tasks, which corresponds with an attractive median salary of $140,030 and a job outlook of 6 percent from 2023 to 2033 [].
By using AI in HR, you can build a more efficient workplace by integrating automated processes, data-driven recommendations, and personalized employee feedback. On 糖心vlog官网观看, you can explore the use of AI in this field through Specializations such as the Generative AI for Human Resources (HR) Professionals Specialization by IBM, which provides the opportunity to build a foundational understanding of fundamental models, capabilities, and applications of generative AI.
Grand View Research. 鈥, https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-hr-market-report.鈥 Accessed April 28, 2025.
McKinsey. 鈥, https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/increasing-your-return-on-talent-the-moves-and-metrics-that-matter.鈥 Accessed April 28, 2025.
US Bureau of Labor Statistics. 鈥, https://www.bls.gov/ooh/business-and-financial/human-resources-specialists.htm.鈥 Accessed April 28, 2025.
US Bureau of Labor Statistics. 鈥, https://www.bls.gov/ooh/management/human-resources-managers.htm.鈥 Accessed April 28, 2025.
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