AI offers HR teams an opportunity to leap forward
The rapid advancement of AI is creating a silver moment for HR functions around the Middle East. Rather than pursuing incremental improvement, AI enables HR teams to shift through a step change to toward intelligent and insight-driven models, writes Anuvesh Chandra, Director in the Rewards practice of WTW.
Over the last two years, the acceleration in AI technology has been extraordinary. According to a study from Gartner, nearly two-thirds of HR organizations are actively planning or already deploying GenAI.
Global research from WTW found that HR teams are among the most active users of AI, with 74% of respondents agreeing that generative AI is likely or very likely to fundamentally reshape how benefits are designed and managed.
The momentum seen within HR is driven by three main factors. First, AI enables the automation of repetitive work, handling high-volume, low-value tasks that consume HR capacity and freeing teams to focus on more strategic activity. Second, it augments decision-making by applying data-driven intelligence that strengthens judgement, reduces bias, and helps leaders make fairer and faster decisions.
Further, generative AI enables personalisation at scale, redefining the employee experience through its ability to deliver highly tailored content and guidance across large workforces.
The adoption of AI is not about chasing technology. It’s about closing a widening gap between rising expectations from the workforce and finite HR capacity. AI helps HR teams do more with less, while improving quality and fairness.
Transforming core HR functions
Four examples of how AI is transforming core HR functions:
Talent acquisition: Precision at speed
Recruitment has seen the sharpest transformation. AI tools now screen thousands of resumes in minutes, generate inclusive job descriptions, and engage candidates instantly through chatbots.
One global FMCG firm reduced time-to-hire by 75% while improving diversity outcomes. A major facilities management company used an AI assistant that handled over a million candidate queries annually and cut hiring time by 60%. Across sectors, organizations report double-digit improvements in cost-per-hire and quality of hire a undeniable proof that AI isn’t just faster; it’s smarter.
Onboarding and HR operations: Efficiency meets experience
First impressions matter. AI enables personalized onboarding from tailored learning journeys to automated documentation and system access.
At a leading Asian bank, a generative HR chatbot now resolves routine employee queries, saving around 40 staff hours every month. Companies automating onboarding report up to 50% less manual effort per new hire. The result is not only operational efficiency but also a more seamless employee experience.
Performance and development: Continuous, fair, data-Driven
Performance management is shifting from retrospective to real-time. AI synthesizes feedback, drafts reviews, and identifies development opportunities based on actual data. Managers spend less time on paperwork and more on meaningful coaching.
Predictive analytics reveal emerging leaders, potential flight risks, and critical skill gaps. One financial services organization reduced regrettable attrition by 20% by applying AI-driven insights to its talent reviews.
Employee experience and retention: Engagement that listens
AI-powered HR assistants are now active 24/7. These systems answer benefit queries, guiding career choices, and offering instant help. Sentiment analysis tools track engagement across channels and surface issues before they escalate.
AI is enabling proactive retention by combining performance, engagement, and market data to predict turnover risks. In WTW’s 2024 Tech Industry Pay Actions Survey, 73% of companies were already using chatbots to handle reward queries, improving responsiveness and employee satisfaction.
The impact: Productivity, cost, and confidence in decisions
Generative AI can boost HR productivity by up to 30%, within processes with heavy operational load such as recruitment and onboarding showing improvements above 50% in time-to-hire, manual effort, and HR operating costs all drop measurably.
But the real value extends beyond efficiency. AI gives HR a stronger seat at the strategy table. Freed from administrative load, HR teams can focus on workforce planning, capability development, and culture, the critical levers that shape business performance. The divide between AI-enabled HR functions and those that remain manual will only widen from here.
Overcoming AI risks
While AI offers significant benefits, there are also risks that organisations must carefully manage:
Algorithmic bias and discrimination
AI systems trained on historical HR data can unintentionally replicate and amplify biases related to gender, ethnicity, age, potentially leading to unfair hiring, promotion or performance evaluation outcomes. This risk is especially pronounced in recruitment/assessment tools that filter resumes or assess candidates based on patterns in past decisions.
Lack of transparency and explainability
AI models operate as “black boxes,” making it difficult to understand how decisions are made. This lack of clarity can erode trust and complicate legal compliance particularly related to people decisions. This could also trigger legal and compliance risk in some jurisdictions.
Overreliance and loss of human judgment
While AI can automate routine tasks, it lacks empathy, contextual understanding and ethical reasoning. Employees may feel alienated or anxious when HR processes are automated, particularly if they perceive a lack of human touch or fear job displacement.
Hallucinations and inaccurate outputs
Generative AI tools can sometimes produce misleading or incorrect information known as “hallucinations”. In the HR context, that could mean producing flawed performance reviews, inaccurate assessment, inaccurate policy interpretation etc
As with all new processes and technologies, it will be paramount not to lose the “human” factor when adopting AI technologies. Whether it’s ensuring the quality and broadness of data being input, or checking and validating outputs, human oversight will remain essential to HR functions even as AI becomes more prevalent.
A playbook for CHROs
So how can CHROs kick-start and scale their AI ambitions? Five tips to consider:
1) Start small, start smart. Identify one or two high-impact use cases and scale what works.
2) Invest in literacy and governance. Build AI fluency within HR, supported by clear ethical and data-governance frameworks and within existing local regulations.
3) Collaborate, don’t isolate. Partner with technology providers and advisors to accelerate adoption and share lessons learned.
4) Track and tell the story. Use data to quantify productivity gains, cost savings, and employee outcomes and communicate them clearly.
5) Keep HR human. AI should empower empathy, not replace it. The future belongs to HR teams that blend intelligence with humanity.
Conclusion
AI is not replacing HR, it’s unleashing it. The future HR function will be smaller, smarter, and far more strategic, where technology handles the process, and people handle the purpose. The CHROs who act now with a clear vision will redefine what it means to lead a truly intelligent organization. The next era of HR has begun, and it speaks the language of both data and empathy.
