Singapore’s technology hiring landscape is undergoing a structural shift, as employers grapple not with a shortage of talent, but a growing gap in AI readiness.
General Assembly’s “State of Tech Talent 2026” report reveals that 95% of employers in Singapore report ongoing challenges in hiring tech talent, despite a broader availability of candidates.
The findings highlight a deeper transformation in workforce dynamics. As AI adoption accelerates under Singapore’s National AI Strategy 2.0, organisations are increasingly prioritising applied AI capabilities across roles, rather than purely technical expertise. This shift is particularly evident in data-related functions, with 58% of employers identifying data analytics and data science roles as the hardest to fill.
At the same time, the report signals a recalibration of responsibility for workforce development. More than 80% of Singapore employers believe organisations should take at least partial responsibility for AI upskilling—slightly higher than in the United States (48%) and the United Kingdom (41%).
This aligns with broader national efforts such as SkillsFuture, which emphasises continuous learning and workforce adaptability.
, noted the evolving mindset:
“The findings highlight a clear shift in how organisations and individuals are approaching AI skills, with growing recognition that upskilling must be a shared responsibility," said Sima Saadat, country manager of General Assembly Singapore. In Singapore’s tech-driven economy, the ability to apply AI effectively is essential across roles, not just in technical functions.”
However, scaling upskilling remains a challenge. While 69% of employers expect training initiatives to significantly alleviate talent shortages by 2026, 58% cite cost as a major barrier—higher than in the US and UK. This tension is driving organisations to rethink how they build capabilities, with many turning to in-house training programmes while also exploring partnerships with external providers to bridge expertise gaps.
The hiring challenge is further compounded by changing workforce models. Nearly three-quarters of employers in Singapore are outsourcing or planning to do so, reflecting a growing reliance on flexible and cross-border talent.
This trend is reshaping career pathways, particularly for early-career professionals who are now expected to possess hybrid, AI-adjacent skill sets. It is also creating new opportunities for underrepresented groups, including women, by enabling more flexible entry points into the tech workforce.
Despite concerns about automation, sentiment in Singapore remains relatively measured. More than half of employers report that some roles have already been automated, but expectations point to gradual, manageable change. Compared to Western markets, this suggests greater confidence in reskilling and workforce transformation strategies.
As AI continues to redefine work, Singapore’s experience underscores a critical insight: the talent challenge is no longer about quantity, but capability—placing upskilling, adaptability, and ecosystem collaboration at the centre of future workforce strategies.
