AI is reshaping work across every function and HR is no exception. In hiring, development, and workforce planning, the disruption is already here. The challenge is no longer whether to adopt AI, but how to use it with intent.
Across APAC, the most effective HR teams aren’t chasing every new tool. They’re applying AI in focused ways, to make hiring more inclusive, internal mobility more transparent, and workforce planning more skills-based.
We see AI delivering measurable impact in three core areas:
- Scaling hiring across complex business units
- Diversifying candidate pipelines
- Enabling internal mobility to meet future skills needs
One thing I’ve consistently heard from HR leaders: impact only comes when AI is applied to real problems, not automation for its own sake.
Hiring with more precision
Here's an example of applying AI to a well defined problem. Aurecon, a global design and engineering company, needed to fill highly specialised roles. Traditional sourcing was slow and missed important skill signals. By using LinkedIn’s Hiring Assistant, recruiters were able to identify qualified candidates quickly. As one Aurecon recruiter described it as “like having your own little resourcer working in the background”, surfacing talent while they slept.
This freed up their recruiters’ time to focus on the strategic talent decisions required for hiring for specialised roles.
Here are some tips for scaling hiring across complex business units:
- Start simple: When using AI-powered search tools, try entering keywords that describe the skills you need, not just job titles. For example, instead of searching for “Project Manager,” use “data analysis” or “stakeholder management” to surface candidates with relevant abilities.
- Don’t hesitate to check the “recommended” or “suggested” candidates: AI often surfaces profiles you might not have considered, but who could be a great fit. When you come across suggested candidates who aren’t suitable, provide detailed feedback on why they don’t match your needs. This helps the AI learn and improve its recommendations over time.
- Use natural language search: Some hiring tools, including LinkedIn’s Hiring Assistant, lets you type in phrases like “people with leadership experience in tech” or “candidates open to remote work.” This can help you find adaptable talent across industries.
Hiring for potential, not pattern matching
In Singapore, 70% of job skills are expected to change by 2030, signalling that experience alone is no longer a reliable signal. Yet traditional sourcing methods still tend to favour familiar titles and industries. This limits access to adaptable talent and often reinforces bias.
AI can identify skills that transfer across industries. That means companies are more likely to find candidates with potential, not just proximity. For teams focused on diversifying their pipeline, AI opens up new possibilities. The result is more inclusive hiring, stronger teams, and better business performance.
Some suggestions on how to get started hiring for potential:
- Set up filters: Most AI tools let you filter by location, experience level, or learning credentials. Try using these filters to expand your talent pool, and don’t overlook adjacent or related qualifications. For example, candidates with certifications in fields that complement your core requirements.
- Try skill-based searches: Instead of relying on job titles or previous roles, use AI tools to search for specific skills that are critical for your open positions. For example, enter “problem solving” or “cross-functional collaboration” to find candidates who demonstrate these abilities—even if they come from different industries. This approach helps you uncover adaptable talent and reduces bias toward familiar backgrounds.
Supporting career growth from within
Beyond acquisition, upskilling and retention of the existing workforce are critical aspects of a company’s talent strategy as well. More than half of professionals in APAC worry they’ll fall behind without upskilling.
70% say access to lifelong learning gives them confidence to adapt. Yet nearly half still don’t know which skills will matter most.
This is where AI can really shine. Tools like LinkedIn’s Career Hub helps close that gap. It uses AI to help HR teams map out skills, suggest next steps, and create personalised learning journeys. It’s a smarter way to close skill gaps and keep people engaged, especially at a time when this need has never been clearer.
What the best talent teams are doing differently
Across APAC, forward-looking companies are making one important shift: they treat AI as a strategic partner, not a tech add-on. They define the business outcomes first then deploy AI to deliver. That’s how they scale hiring, diversify teams, and build internal talent pipelines that last.