AI fundamentals: AI’s expanding role in HR in 2024 and predictions for 2025
AI fundamentals are key in today’s digital HR landscape. In this resource, Tessa Hilson-Greener, author of HR2035, shares key trends every HR leader should know and offers some predictions for 2025.
Published: 9 December 2024 | Tessa Hilson-Greener
AI continued to transform HR in 2024. In this review of the year’s major technological movements, Tessa Hilson-Greener, author of HR2035, looks at the key tool performers and uptake trends, and offers some predictions for 2025.
AI adoption in HR has moved from experimental to essential. According to Deloitte’s 2024 Global Human Capital Trends report, over 70% of HR leaders reported using AI in at least one HR function, up from 50% in 2023, underscoring AI’s expanded role in reshaping HR processes for efficiency and strategic insight.
“As we move into 2025, new UK legislation on ethical AI use in HR will establish clearer standards, reinforcing transparency and accountability – a critical step towards a fair and people-centred workplace. This regulatory shift, combined with AI’s evolving predictive capabilities, sets the stage for a more integrated and employee-focused HR future.”
Academic research supports this shift: an MIT Sloan study found that AI in HR significantly improves the accuracy of hiring and workforce planning models, leading to better retention and performance outcomes.
AI’s impact on key HR functions in 2024
Talent acquisition and retention
AI tools such as HireVue and Eightfold AI have advanced through enhanced data processing, allowing deeper candidate profiling and predictive analytics to reduce hiring time by up to 30%. Eightfold’s algorithms, for example, use historical hiring data to predict employee success, helping organisations reduce churn.
Personalised employee experience
As companies aimed to enhance employee engagement, tools like Microsoft Viva saw widespread adoption. Viva integrates wellbeing and career-path planning, a capability associated with an 18% increase in employee satisfaction. In fact, recent data from Gartner indicates that organisations using AI for employee engagement saw a 25% increase in retention over those that did not.
Workforce planning and strategy
Workforce planning tools like Visier gained traction, particularly for their predictive capabilities. Research published in the Journal of Management found that organisations using predictive analytics in workforce planning could reduce turnover by up to 22%. These tools help HR leaders make proactive decisions, especially in industries with persistent skills shortages.
Ethics, compliance and trust
Tools like Fairly.ai focus on the ethical management of AI systems, enabling audits to find and mitigate bias – an increasing area of scrutiny. A PwC survey noted that 65% of employees are more trusting of AI-driven HR tools when they have transparent ethics and compliance features.
Key HR AI tool winners of 2024
- Eightfold AI: This platform led with robust predictive analytics that align with workforce needs, providing talent acquisition and retention capabilities that resulted in an average 20% decrease in time-to-hire and improved diversity metrics for companies using it.
- Workday Peakon Employee Voice: Offering real-time sentiment analysis, Peakon gained popularity as companies turned to more dynamic tools to gauge employee morale. Workday’s user data reveals that companies using Peakon reported 15% higher employee engagement scores compared to the previous year.
- Visier: Widely recognised for its analytics in turnover prediction, Visier’s users noted a 25% improvement in workforce stability due to its data-driven insights.
- Microsoft Viva: Viva’s comprehensive employee experience platform, encompassing learning and feedback, saw rapid adoption, particularly among enterprises seeking to boost productivity through employee engagement.
- OIEDU’s AI Teacher: As companies increasingly view employee development as a strategic advantage, OIEDU’s AI Teacher has emerged as a powerful solution to the challenge of delivering personalised, scalable learning. With its forward-thinking features, OIEDU’s AI Teacher is setting the stage for HR-led learning and development (L&D) by empowering organisations to cultivate a skilled, agile workforce. This tool exemplifies the potential of AI-powered learning, offering individualised, flexible skill development aligned with organisational objectives. Supporting this, a recent Harvard study found that students using an AI tutor learned more than twice as much in less time compared to an active learning classroom, while also showing higher engagement and motivation. This evidence underscores how a well-prompted large language model (LLM) can significantly enhance learning outcomes.
Uptake trends in 2024 vs 2023
Widespread adoption
AI adoption in HR increased by around 25% over 2023, driven by demonstrable ROI and positive case studies. A survey from the Society for Human Resource Management (SHRM) found that 65% of HR leaders had integrated AI across multiple HR functions, up from 40% the previous year.
Broadening of AI use cases
Whereas 2023 saw a focus on AI for recruitment, 2024’s adoption was marked by broader applications, notably in workforce planning and personalised employee experience. The Centre for Advanced HR Studies found that companies using AI across at least three HR functions reported a 17% higher organisational efficiency.
Adoption among SMEs
A study by the Chartered Institute of Personnel and Development (CIPD) saw that, in 2024, 35% of SMEs used AI in at least one HR function, a significant increase from 2023. This trend is due to the availability of scalable, affordable AI tools designed for smaller teams.
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Looking ahead: What to expect in 2025
Enhanced predictive capabilities
AI’s predictive power is expected to further mature, with more sophisticated forecasting for workforce needs, skill gaps and training requirements. According to research by the AIHR Institute, 65% of HR leaders plan to enhance their predictive analytics capabilities in 2025.
Stronger ethics and transparency
With continued regulatory focus, transparency will become a must. The European Commission’s AI Act mandates clearer explanations of AI decision-making, which will prompt providers to integrate more transparent features. This shift aligns with findings from Stanford University, where 78% of HR professionals believe transparency improves employee trust in AI tools.
Integrating wellbeing with AI
The use of AI for employee wellbeing is forecast to expand. A McKinsey study highlights that companies actively checking wellbeing through AI report 30% lower absenteeism. AI tools integrating mental health support, pulse surveys and wellbeing metrics will be key as organisations prioritise holistic employee care.
Generative AI in L&D
Generative AI will revolutionise personalised learning, with 2025 expected to see a 40% increase in its use within HR. Companies will use generative AI to provide tailored training content, accelerating skills development.
Conclusion
2024 marked a breakthrough year for AI in HR, with significant advancements in recruitment, workforce planning and employee engagement driving adoption and reshaping the HR landscape. As we move into 2025, new UK legislation on ethical AI use in HR will establish clearer standards, reinforcing transparency and accountability – a critical step towards a fair and people-centred workplace. This regulatory shift, combined with AI’s evolving predictive capabilities, sets the stage for a more integrated and employee-focused HR future.
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About the author
Tessa Hilson-Greener
CEO, AI Capability
Tessa Hilson-Greener is a prominent thought leader in AI for HR, workforce development, leadership and business innovation. As the CEO of AI Capability, she pioneers the integration of AI in HR, enhancing global HR functions and leadership strategies with psychological insights gained over a global 30-year career in HR, learning and development and technology.
Under her leadership, AI Capability is a model for ethical AI implementation, proving how advanced technologies can improve employee engagement, streamline operations and promote continuous learning and inclusivity. Tessa emphasises ethical AI deployment in HR, highlighting the need for human oversight to mitigate risks such as bias and privacy issues, and advocates for AI to support, not replace, human roles, ensuring that AI enhances rather than undermines the workforce.