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50 Statistics on Artificial Intelligence in HR

HR Analytics

9 minutes

January 12, 2026

Written by Yağmur Erge

Statistics on artificial intelligence (AI) in HR are valuable for those seeking to gain a competitive edge by leveraging technology in today's work environment. Tracking these statistics is one of the most important long-term investments for a company, given the rapid development of AI.

However, what is the impact of artificial intelligence on human resources? How can it be utilized in the professional world, and what are the key statistics on AI in HR?

This blog content will help you better understand the use of AI in HR processes by answering the questions above and enabling you to follow human resources trends more closely.

What Is the Impact of AI on HR?

AI is transforming HR by automating everyday tasks and allowing more data-driven decision-making, freeing up HR teams to focus on critical workforce initiatives. It facilitates recruiting by screening resumes and matching candidates, improves the employee experience with chatbots and personalized learning, and delivers information for performance management, employee retention, and workforce planning.

Despite the numerous benefits of AI in HR, AI investments do not inherently make the human resources field more objective or human-centered. Its influence is determined by data quality, system design, and governance, and when applied incorrectly, it can perpetuate bias and undermine employee trust.

How to Use AI in HR?

AI can be utilized in HR to automate repetitive tasks, like managing payroll, scheduling interviews, and screening resumes. Additionally, it aids in analyzing employee data to measure job satisfaction, forecast employee turnover, and make more informed hiring decisions. AI-powered chatbots also assist staff members by promptly and reliably responding to HR questions.

In a competitive business world, most companies need flexible and easy-to-use hiring software to get ahead of their competitors for these purposes. With the support of AI technology, Hirex helps companies make more accurate hires while supporting the improvement of end-to-end recruitment processes. HR professionals can connect with more candidates and make more informed hiring decisions with a seamless user experience (UX), intelligent application management, and automated recruitment marketing.

Statistics on AI in HR

Artificial intelligence in human resources continues to increase its influence in today's business landscape. That is why employers have to develop strategies to understand AI technology in HR. Here are some key statistics on AI in HR that will help professionals develop these strategies while following trends in human resources:

Workforce Transformation and Adoption of Artificial Intelligence

1. The current global AI adoption rate for human resource management is 21%, and this figure is projected to rise as more businesses discover the potential benefits of AI in their workforce management. (Source)

2. 4% of AI users claim that artificial intelligence has not had a major effect on human resource management in their organization. (Source)

3. An overwhelming 65% of participants think that artificial intelligence has boosted productivity and efficiency in tasks for human resources management. (Source)

4. 38% of organizations plan to utilize artificial intelligence in human resource management (HRM) in the future. (Source)

5. 45% of organizations now employ AI in HRM activities. (Source)

6. 17% of organizations do not now plan on utilizing artificial intelligence in their human resource management practices. (Source)

Artificial Intelligence Tech in Talent Acquisition and Recruitment

7. Compared to traditional hiring practices, AI-powered recruitment technologies can decrease bias by 40%. (Source)

8. Companies that employ artificial intelligence in their hiring process save between 30% and 40% on hiring costs. (Source)

9. 81% of recruiters utilize artificial intelligence technology to find passive candidates through professional networks. (Source)

10. Artificial intelligence will boost the accuracy of hiring predictions by up to 50%. (Source)

11. AI is used by 74% of organizations to establish talent pipelines. (Source)

12. It is anticipated that 94% of hiring procedures would include AI technology at some point by 2030, completely changing the talent acquisition process. (Source)

AI Technology in Employee Retention and Engagement

13. Artificial intelligence recognition tools improve employee satisfaction by 33% by monitoring and rewarding performance in real time. (Source)

14. AI-powered wellness programs decrease employee stress by 25% and burnout rates by 30%. (Source)

15. AI-based career pathing solutions increase employee retention by 20%, demonstrating that individualized development programs are effective. (Source)

16. Internal mobility solutions utilizing artificial intelligence reduce employee attrition by 35%, allowing businesses to keep qualified people. (Source)

Artificial Intelligence in Training and Development

17. AI has the potential to enhance productivity by $4.4 trillion through corporate use cases, with a long-term global economic effect of $15.7 trillion by 2030, or a 26% rise in global GDP. (Source)

18. The percentage of United States workers utilizing AI tools at work has increased from 8% in 2023 to 35% by late 2024, although only roughly 31% of workers claim their companies now provide any AI training. (Source)

19. By 2030, 39% of fundamental job skills are expected to change, primarily due to the impact of artificial intelligence and digital technology. (Source)

20. Programmers who used AI were able to complete 126% more projects each week than those who did not use the technology. (Source)

21. 59% of learners say they use artificial intelligence in their education or training at least once a week, while just 15% said they used AI technologies in their studies on their own in 2023. (Source)

Artificial Intelligence Tech in Performance Management

22. When AI is used within its limitations, it can boost worker performance by over 40% compared to workers who do not use it. (Source)

23. In one Asian financial services organization, call center employee performance for structured tasks improved by 12.9% thanks to AI-generated reviews. (Source)

24. When organizations opt for AI-powered performance management, their goal achievement rates increase by 50%. (Source)

25. Just 14% of employees definitely feel that their performance reviews are fair, which is consistent with the research showing that both managers and employees are unhappy with traditional performance assessments (Source)

26. 71% of organizations agree that employing artificial intelligence for performance management will enhance the overall quality of feedback. (Source)

AI Tech in HR Analytics and Workforce Planning

27. 85% of the HR professionals surveyed believe AI is useful for HR analytics, and more than half (56%) already utilize it in their operations. (Source)

28. 58% of human resources professionals believe AI will alter analytics and data management. (Source)

29. Data privacy emerged as a major concern, with 68% cautious about the data risks that AI brings to human resources processes. (Source)

30. AI tools increase diversity in the workforce by 35% because algorithms can eliminate human prejudice in screening. (Source)

31. AI and automation may change up to 30% of today's job activities by 2030, changing roles, talents, and planning processes. (Source)

Artificial Intelligence in Benefits and Compensation

32. While only 22% of the organizations polled reported utilizing AI for external-pay benchmarking, 63% stated they are thinking about doing so. (Source)

33. AI positions in these organizations often pay 30% more than similar positions in other sectors. (Source)

34. Employees with relevant AI skills make 15–20% more than their peers in comparable roles, even in non-AI-focused businesses. (Source)

35. While IT experts often earn 5-10% more than non-IT employees, they still fall short of AI pay, highlighting the tremendous importance put on this area of knowledge in today's job market. (Source)

36. The typical salary difference between AI positions with and without parental leave or health benefits is between 12% and 20%. (Source)

Privacy and Ethical Issues with AI Adoption

37. Easily created deepfakes were used to deceive a Microsoft API more than 75% of the time. (Source)

38. When employing artificial intelligence, over half of professionals under 35 claim they do not think about ethical issues. (Source)

39. Regardless of the regulations put in place, 44% of people think AI will never be completely ethical. (Source)

40. 38.1% of respondents emphasized the need for better ethical frameworks, citing ethical issues, including bias, transparency, and trust, as major obstacles. (Source)

41. 80% of parents were concerned about the negative impacts of artificial intelligence in education. (Source)

Difficulties in Implementing AI

42. Approximately 42% of respondents stated that a lack of high-quality data is a major problem in applying AI, which may be overcome through synthetic data, data augmentation, and strategic data partnerships. (Source)

43. Although 75% of organizations employ AI, just 35% of employees received AI training in the previous year, so businesses must invest in upskilling their employees to close the skills gap. (Source)

44. IT companies fail 70–80% of their AI initiatives. (Source)

45. According to 51% of respondents, governance and compliance are the biggest obstacles to the implementation of AI. (Source)

46. Data security and privacy are significant challenges to AI adoption, with 47% worrying about consumer data and 43% about employee data. (Source)

AI's future in HR

47. According to 89% of HR leaders, AI technology will affect jobs in 2026. (Source)

48. 89% of questioned senior leaders surveyed say that AI will have an influence on jobs next year. (Source)

49. 92% of organizations intend to boost their AI efforts within the next three years. (Source)

50. North America dominates the AI recruiting market with $280 million in 2023, and it is predicted to grow to $475 million by 2030. (Source)

Conclusion

In this blog content, you have learned the impact of AI on human resources, how to use this technology in this field, and key statistics you can use in 2026.

Whether you are an employer, an HR professional, or simply curious to learn, the relationship between AI and HR is fascinating. However, if you want to discover more, visit Hirex now!