AI in HR: How Departments Are Using It Right Now
HR departments are using AI right now for recruiting, payroll accuracy, compliance monitoring, retention analytics, and employee self-service. While 43% of organizations use AI in at least one HR function, most are still in early stages — experimenting or piloting rather than fully embedding AI across the business. The biggest gains are showing up in high-volume, repetitive workflows where AI augments human decision-making rather than replacing it.
Key takeaways
AI is already used in HR for recruiting, payroll anomaly detection, compliance flagging, retention risk analysis, and 24/7 employee self-service via chatbots.
According to a McKinsey survey, 88% of companies use AI, but only 7% have fully embedded it across functions — most are still experimenting or piloting.
The Josh Bersin Company found AI reduces time to draft job descriptions by 90%, cuts time to hire hard-to-fill roles by 25%, and increases manager productivity by 30%.
The U.S. Bureau of Labor Statistics projects HR manager roles will grow 5% between 2024 and 2034 — AI is reshaping these roles, not eliminating them.
Organizations can assess their AI readiness using a five-stage framework: Discovery, Active learning, Launching, Scaled operations, and Mature operation.
When people think about AI, their focus is often on the potential benefits the technology can bring down the road. But as we know, artificial intelligence is here now, and companies aren’t waiting for the future to implement AI in HR in day-to-day work, or to see those benefits.
How HR teams are using AI today
AI is already deeply embedded into the day-to-day HR, payroll, and workforce team operations, says Jae W. Lee, senior director, data & technical product marketing – data, AI, tech & mobile, ADP. “Although use cases may vary among companies and industries, AI supports the talent acquisition teams to make faster and more informed talent decisions across the employee lifecycle.”
For example, AI helps organizations summarize candidate profiles and surface top candidates based on requirements and skills. Companies aren’t just using AI to source candidates, but to help retain employees, Lee says. “AI helps leaders to analyze performance and generate talent insights to potentially flag high-potential employee retention risk as well as with workforce planning.”
Lee said that AI can also help with payroll variance by flagging unusual hours, duplicate entries, tax registration and potential compliance issues. In addition to using AI for HR operations, companies also use it to enhance the employee experience. For example, companies can leverage chatbots to provide employees with 24/7 access to answers on a wide range of HR policy questions, including PTOs, leave, holiday schedules and other HR related topics.
AI adoption is growing, but most organizations are early in the journey
In a recent McKinsey survey, 88% of companies said they used AI. However, as of 2025, the majority of respondents were still at the beginning stages, with 32% experimenting, 30% piloting, 31% scaling and only 7% fully embedding AI in functions throughout the company.
The disparity is similar in HR. According to SHRM, 43% of organizations use AI in at least one HR function, which is most often recruiting.
“The most measurable gains are happening where AI is adopted and repeated in high-volume and repetitive workflows,” Lee said.
Research supports those measurable gains. The Josh Bersin Company found that using AI in HR:
Reduces cost for manager and recruiter interviewer management by 87%
Reduces the time and cost of drafting job descriptions by 90%
Reduces time to hire hard-to-fill positions by 25%
Reduces time to write emails by 80%
Decreases the annual cost of noncompliance by 10%
Increases manager productivity 30% because of systems integration
Lee said that reporting and analytics are key areas where AI drives efficiency, since it requires data clean-up, preparation, and visualization.
“These gains are in areas where AI is augmenting the work of humans, not replacing them,” Lee added.
Another powerful way AI augments the work of humans is by improving proactive decision-making, Lee said. “Instead of a manager realizing that there is an employee retention issue after people resign and leave the company, AI can generate the necessary analytics and insights and surface potential signal risks. This empowers the individual to have a clearer understanding and picture before a decision is made.”
Because AI can quickly synthesize huge amounts of data, leaders have greater visibility into operations, can access faster insights, and can make more informed decisions.
Read more about AI purpose-built for HR and payroll
AI is reshaping HR roles, not eliminating them
Even as AI offers significant changes in how we work, it continues to evolve. From simple agents to advanced and autonomous agents, the capabilities are growing exponentially. As HR leaders take advantage of these capabilities, the HR roles are also shifting and expanding.
“Practitioners are moving away from manual and repetitive processing and more toward overseeing and orchestrating AI, to allow them to spend more time on strategic initiatives such as workforce planning, talent management, and employee experience,” Lee explained. He added that practitioners are learning new skills and acquiring new emerging responsibilities, including interpreting analytics and translating data into people strategies, while validating key strategy recommendations.
Although the HR manager’s role may be changing, it is not going away. Notably, the U.S. Bureau of Labor Statistics anticipates that the role of HR manager will grow 5% between 2024 and 2034, which is faster than average.
“The shift is not about replacing roles and humans, but how AI is reshaping the roles with efficiency, productivity and impact,” Lee said.
Human expertise remains essential
Even as HR managers increasingly use AI, they still need to rely on their own human expertise, oversight, judgement and context to balance efficiency with human-decision-making to use AI effectively and responsibly, Lee said.
“While AI can analyze data and generate recommendations, it lacks the deeper understanding, emotional intelligence, ethics and judgment that humans bring to the decision-making process. These uniquely human qualities are critical across the workforce lifecycle, from hiring through to retirement, ensuring decisions are not only data-driven, but also context-aware, fair and aligned to organizational values.”
AI use cases for HR departments: from basic tasks to advanced agents
Many HR departments have already embarked on the journey with AI, using it on a day-to-day basis for tasks like:
Reminding employees about critical payroll tasks
Finding and correcting payroll anomalies
Offering search in natural language to help HR teams and employees find answers to policy and benefit questions
Creating user-friendly reports based on internal and external data
As the more advanced HR departments use AI agents, HR leaders can:
Help employees understand their individual pay and workforce information
Recommend personalized learning and development opportunities
Source internal candidates to find hidden skills for job recommendations
Examine engagement, performance and productivity trends, increasing retention before it becomes a concern
Even though many companies have begun using AI, others are still trying to figure out how to make AI work for them, Lee said.
Lee suggested that HR departments seeking to implement AI day-to-day to realize measurable outcomes should start with these steps:
Define the business problem
Determine the measurements for success
Ensure data quality and security.
Create governance and accountability processes
The five stages of AI adoption for HR
As companies look at making AI part of their daily work, they should determine where they are in the journey. Think of it in five phases:
Discovery: You’re exploring AI tools and solutions, but no AI or data-related strategies are in place. You may not be clear on how AI can benefit the business, and your data may be in disconnected systems.
Active learning: You’re piloting AI tools and solutions and discussing the bigger AI issues of management strategies, data governance and safety measures. You may have an idea of how AI can help business goals.
Launching: You’re adopting AI tools and solutions across the company with defined business goals. AI management and data governance strategies are set and business goals are clear.
Scaled operations: The adoption of AI tools and solutions is growing and is connected to business objectives. AI is ingrained in the business processes and provides measurable benefits.
Mature operation: AI is fully embedded in the company across functions. AI is autonomous, operating in conjunction with human expertise. AI is a strategic differentiator, providing insights to create business strategy and workforce planning.
While the final phases of the AI journey may still sound a bit futuristic, the beginning phases reflect where many companies are right now. AI already impacts business outcomes, and the scope will only increase.
AI is already changing HR, and the question is not whether to adopt it but how. Those organizations that determine how best to apply AI to HR for administrative and managerial gains will have a proven competitive advantage.
Frequently asked questions
What HR functions benefit most from AI right now?
The most measurable AI gains are in high-volume, repetitive workflows — particularly recruiting, payroll accuracy and compliance, employee self-service, and reporting and analytics. According to SHRM, 43% of organizations use AI in at least one HR function, with recruiting being the most common starting point. More advanced HR departments are also using AI agents for retention risk analysis, personalized learning recommendations, and internal talent matching.
Will AI replace HR managers?
No. The U.S. Bureau of Labor Statistics projects that HR manager roles will grow 5% between 2024 and 2034 — faster than average. As Jae W. Lee of ADP explains, "The shift is not about replacing roles and humans, but how AI is reshaping the roles with efficiency, productivity and impact." HR practitioners are moving toward overseeing and orchestrating AI while spending more time on strategic initiatives like workforce planning and talent management.
How should HR departments start implementing AI?
Start by defining the specific business problem you want AI to solve, then determine how you will measure success. Ensure your data quality and security foundations are solid, and create governance and accountability processes before scaling. Organizations can use ADP's five-stage adoption framework — Discovery, Active learning, Launching, Scaled operations, and Mature operation — to assess where they are and plan their next steps.
Learn more
Read more about AI purpose-built for HR and payroll, and explore how it can streamline operations, improve accuracy and enhance the employee experience.
