Artificial intelligence has changed the conversation about work, but perhaps not in the way many expected. Rather than diminishing the importance of people, AI is making human capability more valuable than ever. For CHROs, this presents both a challenge and an opportunity. Success will depend less on adopting the latest technology and more on redesigning how organisations identify, develop and deploy talent.
In a recent HR Future Live Podcast, Vijay Swaminathan, CEO and co-founder of Draup, shared why HR leaders need to move beyond traditional metrics and embrace a more strategic role in business performance.
HR’s role has become more critical, not less
For years, HR has measured success through hiring volumes, turnover rates and engagement scores. While these metrics remain useful, they no longer tell the full story.
As AI accelerates the pace of business, organisations have far less time to recover from poor hiring decisions or skills gaps. The distance between an idea and delivering value to customers has shortened dramatically. That means every employee has a greater opportunity to influence commercial outcomes.
According to Swaminathan, organisations should begin treating every hire with the same level of rigour once reserved for executive appointments. The right person can accelerate innovation and revenue, while the wrong appointment can delay product development, customer satisfaction and growth.
For CHROs, this shifts recruitment from an operational process to a strategic business decision.
Talent decisions are financial decisions
One of the strongest messages from the discussion is that hiring should no longer be viewed solely through a people lens.
Every recruitment decision carries financial implications.
When organisations can develop and launch products faster, delays become costly. If replacing a poor hire takes several months, businesses may lose valuable market opportunities before the new employee even starts.
This requires a more precise approach to talent acquisition.
Practical actions for HR leaders
- Strengthen collaboration between HR and business leaders to define the capabilities needed for future growth.
- Prioritise quality over speed in critical hiring decisions.
- Build stronger talent communities before vacancies arise, rather than relying only on reactive recruitment.
- Review whether current hiring processes identify adaptability, learning agility and AI readiness, rather than technical experience alone.
Clean workforce data is becoming a competitive advantage
Many organisations have invested heavily in HR technology platforms, yet workforce data often remains fragmented or inconsistent.
Job descriptions become outdated. Skills inventories lack accuracy. Employees perform work that differs significantly from what appears on paper.
AI depends on quality data. If workforce information is incomplete, AI simply magnifies existing problems.
Swaminathan believes HR must work far more closely with operational leaders to understand how work is actually performed. Rather than viewing jobs as static descriptions, organisations should map skills, workflows and business processes together.
This creates a far richer understanding of where AI can automate tasks and where human expertise delivers the greatest value.
AI should remove administration, not human judgement
Many HR professionals remain hesitant about AI because they believe they need technical expertise.
Swaminathan argues the opposite.
HR does not need to build AI. It needs to learn how to use it effectively.
The greatest opportunities often involve eliminating repetitive administrative work so HR professionals can spend more time supporting leaders and employees.
For example, one organisation used AI to translate employee policies into sixteen languages, dramatically reducing both cost and effort. Others are using AI to improve job descriptions, identify workforce skills and produce first drafts of documentation.
Where AI delivers the greatest value
- Translating policies and employee communications.
- Creating stronger job descriptions.
- Mapping workforce skills across the organisation.
- Producing first drafts of HR documents.
- Reducing manual administrative workload.
These applications allow HR teams to focus on higher-value conversations around leadership, culture and workforce transformation.
AI supports hiring, but people make the final decision
One area where AI is already proving its value is high-volume recruitment.
Reviewing hundreds or even thousands of CVs is time-consuming and can introduce unconscious bias. AI can rapidly shortlist candidates based on clearly defined criteria, allowing recruiters to focus on the strongest applicants.
However, Swaminathan cautions against relying on AI for final hiring decisions.
Once candidate pools become small, human judgement remains essential. The differences between top candidates are often subtle, involving cultural fit, leadership potential and unique strengths that technology cannot fully evaluate.
The most effective organisations combine AI efficiency with experienced human decision-making.
Measure what truly predicts performance
As AI expands HR analytics, organisations have access to more workforce data than ever before.
That does not mean every metric deserves executive attention.
Swaminathan suggests HR leaders focus on measures that genuinely influence organisational capability. One example is talent density, which reflects the concentration of high-performing, innovative people within teams.
By contrast, he questions whether some burnout metrics provide meaningful strategic value. Temporary fatigue can be influenced by numerous external factors and may not accurately represent organisational health.
Instead of reporting every available metric, CHROs should ask one question: Will this data help leaders make better decisions?
Curiosity may become HR’s most valuable capability
Perhaps the most thought-provoking insight from the conversation was not about AI at all.
Swaminathan challenged the traditional idea of expertise.
Technology is evolving so rapidly that younger employees often possess valuable AI knowledge alongside experienced leaders. Rather than assuming seniority always brings the answers, organisations should create environments where questions are valued as highly as expertise.
For CHROs, this means building cultures where learning, experimentation and collaboration become competitive advantages.
The organisations that thrive will not necessarily be those with the most advanced AI tools. They will be those whose leaders remain curious enough to continuously rethink how work gets done.
About the expert
Vijay Swaminathan is the CEO and co-founder of Draup, an AI-powered talent intelligence platform that helps organisations make smarter workforce decisions. With more than two decades of experience in labour market intelligence, workforce strategy and AI, he works with global enterprises to redesign work, improve talent decisions and prepare organisations for the future of work.
