By now, it’s clear to us that AI is not just a passing trend, but it’s here to stay, whether we like it or not. Luckily, most of us can agree that AI has a lot of benefits. Not just in our personal lives, but professionally as well. There are many cases of managers and HR leaders utilising AI to ease their workload and free up their time. AI in HR is becoming more commonplace and is transforming the way teams manage their HR processes.
Table of Contents
- Key Facts
- What is Artificial Intelligence (AI)?
- How is AI used in HR?
- Benefits of AI in HR
- Future AI trends in HR
Key Facts
- AI in HR helps HR teams automate routine work, analyse workforce data and improve decisions across recruitment, onboarding, payroll, performance and compliance.
- In South Africa, PwC’s 2025 Africa Workforce Hopes and Fears Survey found that 91% of senior executives who used AI in the previous 12 months said it improved their quality of work.
- Skills readiness is the main implementation risk: PwC found that only 30% of African workers believe their current skills will remain relevant as GenAI affects nearly 50% of roles.
- For the business case, PwC reported that 72% of African workers using AI expect GenAI to increase their productivity over the next three years.
What is Artificial Intelligence (AI)?
AI stands for artificial intelligence. It refers to technology that performs tasks that typically require human intelligence, such as learning, problem-solving, decision-making, responding to language, and interpreting images and other sources of information.
Examples of AI include:
- Virtual assistants such as Siri and Alexa
- Language translation applications such as Google Translate
- Email host filtering spam and blocking unwanted emails
- Systems that make recommendations, such as those on Amazon and Netflix
Types of AI
When discussing capability, AI is commonly grouped into three levels:
| AI type | What it means | HR relevance |
|---|---|---|
| Narrow AI | Systems designed for a specific task, such as recommendations or spam filtering. | Most current HR AI tools fall into this category. |
| General AI | A theoretical system with human-like intelligence across tasks. | Not available for operational HR use. |
| Artificial superintelligence | A theoretical system that exceeds human intelligence across several areas. | Not available and not relevant for current HR planning. |
Whilst these types of AI are becoming more commonplace, their use in HR may be limited. The following specific types of AI support the work of HR teams:
- Conversational AI – natural language processing (NLP) powers chatbots and virtual assistants who provide instant support to employees and candidates.
- Voice technology – synthetic human-like speech generated by AI can respond to employee requests, read policy documents or books for those who need support, and provide voice-overs for training and development content.
- Generative AI – tools trained on large datasets that can draft job descriptions, learning materials and recruitment outreach for HR review.
- Machine learning – learns from existing data to identify trends and predict the workforce, for example, whether candidates are a good fit and if someone is likely to leave.
- Automation AI – outsources complex administrative tasks that traditional automation technology cannot fulfil, such as screening CVs for specific keywords and comparing candidates against particular criteria.
Now that we’ve outlined the kinds of AI used in HR, let’s look at where AI supports HR teams and where human review still matters.
How is AI used in HR?
For AI in human resources in South Africa, use cases should be assessed against both operational value and legal risk. The Frontiers in Artificial Intelligence 2026 South African telecoms study found that behavioural intention had a positive relationship with actual AI adoption in HR, with β = 0.32 and p = 0.00.
Recruitment
- Screen resumes and remove information that may lead to bias in decision-making (e.g. name, gender, age).
- Allows job descriptions to be posted on multiple job boards at the same time.
- Chatbots to answer queries from candidates.
- Summarise interview transcripts and flag role-related evidence for human review, without relying on body language as a standalone decision factor.
- Takes notes and centralises all candidate communication and information.
In recruitment, keep AI outputs advisory rather than final. The CCMA’s 2025 unfair-discrimination information sheet states that workplace assessments must be job-relevant and justifiable, which makes human review essential when AI screens or ranks applicants.
Onboarding & Offboarding
- Chatbots answer employees’ questions.
- Automatic assistants guide recruits through the necessary paperwork and training requirements.
- Machine learning can suggest the best training and development programs based on the employee’s needs.
- Reminds new hires to complete tasks and upload vital documents.
- Simplifies the onboarding process by automating the process.
Employee Satisfaction & Retention
- AI technology can feedback, absenteeism rates, and employee productivity to understand trends in employee engagement and predict issues in retention.
- Chatbots provide immediate 24/7 support on HR policies, benefits, and management queries.
- Generate custom reports to understand key metrics regarding employee retention and workforce data, for example.
Learning & Development
- Generative AI can personalise career development plans based on skills and career goals, making them more attractive to employees and increasing retention rates.
- Voice technology creates artificial coaches or trainers to provide training.
- AI tools in HR can help identify skills gaps within the workforce.
Performance Management
- Tracks performance, monitors employee growth, and suggests feedback where appropriate.
- Facilities 360-degree feedback by automating the collection of insights from peers, managers, and self-assessments.
- Data-driven analysis of productivity measures reduces manager bias.
Payroll & Benefits
- Automation supports accurate and timely payments. Utilising AI in HR means that your tools will notify you of any anomalies in your payroll data, including PTO accruals and usage. Luckily, modern PTO software already integrates smoothly with your payroll systems to automate this process, giving your team full visibility into hours worked and approved absences.
- AI-driven tools can detect anomalies in payroll data.
- Generative AI can create personalised benefit plans for individual employees.
Compliance
- Automation can track changes to laws and ensure necessary changes to working practices are flagged.
- Machine learning detects language that may be discriminatory.
- Chatbots can provide real-time feedback on questions about compliance.
South African employers should be especially careful with automated decisions that affect recruitment, performance, promotion or dismissal. The National Consumer Tribunal’s POPIA guidance explains that a data subject may not be subjected to a decision with legal or substantial effects if it is based solely on automated processing, subject to limited exceptions.
AI governance should also cover fairness, transparency and accountability. SA news reported that South Africa’s draft AI policy was withdrawn on 26 April 2026 after fictitious sources were identified, a public example of why human verification is necessary when AI is used for official or HR-sensitive work.
Benefits of AI in HR
In recent years, AI has significantly changed how HR leaders approach their daily work. There are several benefits to utilising AI to simplify your HR processes. In many ways, AI has created efficiencies in HR departments and enabled them to be more strategic with their human resources procedures. Let’s take a look at how AI technology is allowing HR professionals to say goodbye to their time-consuming tasks.
The productivity case is measurable. PwC’s 2025 Africa Workforce Hopes and Fears Survey found that 76% of African workers using GenAI said it increased their quality of work, whilst 34% expected it to reduce time spent working over the next three years.
- AI applications can automate repetitive tasks, which saves teams valuable time and allows HR leaders to add personalised touches to their work that they otherwise wouldn’t have been able to. These tasks include screening resumes, responding to employee queries, and scheduling interviews.
- Throughout the hiring process, AI can simplify your recruitment tasks from publishing job descriptions to multiple job boards at one time, summarising candidates’ experiences, and taking notes during interviews.
- Automation tools and auto-fill reduce the chance of human errors entering your HRIS or business management software.
- Generate custom reports and HR analytics quickly, where AI can identify patterns and present data-driven insights so you can make well-informed decisions.
- Generative AI tools can help HR teams quickly create personalised learning and development programs so you can up-skill your workforce.
- AI tools can support HR teams by using the data available to track employee performance over different periods and understand skills gaps and issues in succession and talent pipelines, so that there is a more detailed understanding of the workforce.
- Various HR AI tools can also help to identify patterns and flag anomalies, which can help ensure better compliance with employment law and company policies.
- AI tools can support high-quality remote and hybrid work by keeping track of productivity and engagement in teams wherever they are based. This enhances visibility and allows HR leaders to make decisions to create a positive workplace culture.
- Significant cost savings through the automation of routine tasks. Additionally, it reduces the manpower required throughout the recruitment, retention, and training processes and allows for smaller HR teams to have a comprehensive HR strategy.
- For HR teams that need a clearer audit trail, Factorial can centralise employee records, approvals and HR workflows so managers can review AI-assisted outputs against the underlying people data before decisions are finalised.
If your South African organisation also processes employee or candidate data from the EU, the EU AI Act guide below can help HR and legal teams compare European AI governance duties with local POPIA and employment-law obligations.
Future AI trends in HR
If you are deciding how to use AI in HR, start with the HR processes that carry the clearest value and the lowest legal risk. Deloitte’s 2026 Global Human Capital Trends research frames workforce adaptation as an intentional leadership choice, not a purely technical upgrade.
- Greater personalisation and customisation capabilities that can predict employee burnout, well-being issues, and offer real-time feedback rather than waiting for quarterly performance evaluations.
- HR leaders will be able to rely on predictive analytics to anticipate workplace trends like turnover, talent shortages, and employee performance issues.
- More formal AI governance, including approval rules, bias checks, data-retention controls and clear accountability for AI-assisted HR decisions.
- More AI-human partnerships where AI tools guide leaders and managers to make the best decisions for their teams. Whether that’s throughout the hiring process, onboarding process, or wherever – AI can provide valuable insights, allowing HR professionals to boost their organisational success.
Overall, AI in HR is becoming a core part of modern workforce management. For South African employers, the priority is to use AI where it improves accuracy, speed and insight whilst keeping people accountable for employment decisions.
The strongest HR strategies will pair automation with clear governance, documented review steps and ongoing skills development for the HR team.
FAQ
How is AI being used in HR?
AI is used across HR to automate repetitive tasks like screening resumes, scheduling interviews, and answering employee queries with chatbots. It also provides data-driven insights for performance management, personalises learning and development plans, and helps ensure compliance by tracking legal changes.
Is HR at risk with AI?
AI is transforming HR roles, not eliminating them. By automating administrative work, AI allows HR professionals to focus on more strategic initiatives like employee engagement, culture, and talent development. It acts as a supportive tool that enhances human decision-making rather than replacing it.
How to use AI for HR?
HR teams can use AI to automate time-consuming administrative tasks, reducing errors and freeing up time for strategic work. It can also be used to analyse workforce data to identify trends, predict retention issues, and make more informed, data-driven decisions about talent and performance.
How to use AI in recruitment?
In recruitment, AI can screen resumes, post jobs to multiple boards simultaneously, and use chatbots to answer candidate questions. An all-in-one business management software like Factorial can centralise candidate communication and notes, simplifying the entire hiring process for greater efficiency.
By now, it’s clear to us that AI is not just a passing trend, but it’s here to stay, whether we like it or not. Luckily, most of us can agree that AI has a lot of benefits. Not just in our personal lives, but professionally as well. There are many cases of managers and HR leaders utilising AI to ease their workload and free up their time. AI in HR is becoming more commonplace and is transforming the way teams manage their HR processes. Fortunately, we can say goodbye to manual, repetitive tasks and rely on AI technology to speed up our processes. Let’s take a deep dive into how HR can leverage AI and what benefits can HR professionals expect.
