AI is increasingly being used to improve how organisations measure and support employee performance and well-being.
According to Dr Serena Huang, founder of Data with Serena and author of The Inclusion Equation, AI provides insights that go far beyond traditional annual reviews or turnover statistics.
AI tools can detect early signs of burnout, identify high-potential staff, and even flag overly controlling management styles. More importantly, they offer the potential to personalise development pathways based on employee needs and aspirations.
Huang emphasises, however, that ethical use is vital. Transparency and privacy must remain central to ensure AI empowers rather than surveils workers. Far from making human skills obsolete, Huang argues that AI increases their value.
With machines handling routine analysis, people are free to focus on complex challenges and relationship-building—critical skills in sales, leadership, and team dynamics. AI can assist, but it is emotional intelligence and empathy that truly drive results.
To ensure data-driven efforts align with business goals, Huang urges companies to ask better questions. Understanding what challenges matter to stakeholders helps ensure that any AI deployment addresses real-world needs. Regular check-ins and progress reviews help maintain alignment.
Rather than fear AI as a job threat, Huang encourages individuals to embrace it as a tool for growth. Staying curious and continually learning can ensure workers remain relevant in an evolving market.
She also highlights the strategic advantage of prioritising employee well-being. Companies that invest in mental health, work-life balance, and inclusion enjoy higher productivity and retention.
With younger workers placing a premium on wellness and values, businesses that foster a caring culture will attract top talent and stay competitive. Ultimately, Huang sees AI not as a replacement for people, but as a catalyst for more human-centric, data-informed workplaces.
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