The AI Skills Gap: What Singapore Employers Are Looking For

“AI skills gap” gets used loosely, often to mean whatever a particular course wants to sell. This guide sticks to what job postings data and workforce surveys in Singapore actually show, and where the real gap sits. It is not a hiring requirement checklist, and nothing here predicts what any specific employer wants from you.

What Do Singapore Job Postings Actually Show About AI Skills?

According to IMDA's 2025 Singapore Digital Economy Report, the share of tech job postings specifically requiring AI skills rose from 11% in 2019 to 14% in 2024. Looking more broadly than tech roles alone, Indeed's Singapore hiring data found that as of June 2025, 14.8% of job postings mentioned AI in some form, with 1.7% explicitly referencing generative AI specifically.

The more useful detail sits underneath that headline figure. Indeed's data found AI-related job postings are heavily concentrated: almost half came from the top 1% of employers by posting volume, and close to three-quarters from the top 5%. In practice, this means average figures describe a small number of large, AI-forward employers more than they describe the typical Singapore workplace, and what a specific company is actually asking for varies considerably.

The Real Gap: Employer Adoption Is Outpacing Worker Readiness

The more interesting gap in the data is not a missing skill on a list, it is a mismatch in pace. The same IMDA 2025 report found about three in four Singapore workers surveyed already use AI tools at work, and 85% of them reported the tools made them more efficient. Set against that, a JobStreet survey covering more than 150,000 respondents globally, including 3,260 in Singapore, reported in late 2024, found only 53% of local respondents were willing to reskill to stay relevant for AI, with a large share taking a wait-and-see approach rather than proactively upskilling.

Read together, adoption of AI tools in the workplace appears to be moving faster than workers' own confidence or readiness to formally reskill around it. That gap, between tool use already happening and structured skill-building lagging behind, is arguably the more accurate reading of “AI skills gap” than any single percentage about job postings.

What Employers Say They're Prioritising

Among Singapore firms already using AI, IMDA's 2025 report found three strategies came up most often for the next one to two years: training and upskilling their existing workforce, redesigning jobs to better integrate AI into workflows, and strengthening IT and data infrastructure. Upskilling existing staff, not only hiring new talent, is reported as a leading priority, which is a more direct and verifiable signal than a general claim about hiring criteria.

For tech-specific roles, the same data shows demand shifting within the technical skill set itself. Cloud platform and infrastructure skills, along with core programming languages such as Python and SQL, have grown in demand, while general web development skills have become relatively less prominent. This detail applies specifically to technical job postings and should not be read as a general statement about non-technical roles.

Singapore's Policy Direction on AI and Jobs

In his 2025 National Day Rally address, Singapore's Prime Minister set out a policy intention for the government to manage AI's rollout so that it changes the nature of jobs rather than eliminating them at scale, a position reported by Allen & Gledhill alongside IMDA's announcement of a broader push to build AI fluency across both technical and non-technical workers. That push includes the National AI Impact Programme, which has set a goal of training 100,000 non-technical professionals to become what officials have described as AI-bilingual, alongside separate tech-specific upskilling targets. This is a stated government policy direction, not a guarantee about any specific job or sector, and this guide treats it as exactly that.

What This Means for How You Approach AI Skills

Job postings and workforce data are a better signal than a course description precisely because they are observable and dated, but they are also averages, skewed toward a small number of large employers, and specific to the roles and time period measured. The skills that show up in a finance function look different from those in marketing or HR, the underlying fundamentals of how generative AI works tend to make any function-specific skill easier to apply, and any list, including the data cited above, should be treated as a snapshot rather than a permanent target.

How to Check Employer Demand for Yourself

The data above describes Singapore broadly. Your own situation is one data point within it, and the most reliable way to read it is directly rather than through a generic list.

• Search postings for your specific target role and function, not just “AI jobs” generally, since demand is unevenly distributed and a broad search will overweight roles that are not yours.
• Note which specific tools or tasks are actually named, such as a particular AI assistant or a described workflow, rather than vague phrases like “AI-savvy” or “digitally fluent”, which tell you very little on their own.
• Compare a handful of postings from different companies before drawing a conclusion. A single posting reflects one employer's preferences at one point in time, not a market-wide standard.
• Revisit the search periodically. The data in this guide shows the picture shifting meaningfully within a year or two, so a search done today may look different in twelve months.

Frequently Asked Questions

Does an AI skill mentioned in job postings mean I need it to get hired?

Not necessarily, and no guide, including this one, can tell you what a specific employer requires. A skill appearing more often in job postings is a demand signal worth knowing about, not a personal requirement or a guarantee that having it will result in a job offer.

What percentage of Singapore job postings actually mention AI?

As of June 2025, Indeed's Singapore hiring data found 14.8% of job postings mentioned AI generally, and 1.7% explicitly referenced generative AI, concentrated heavily among a small number of large employers. Separately, IMDA's 2025 Digital Economy Report found the share of tech job postings specifically requiring AI skills rose from 11% in 2019 to 14% in 2024.

Is there really a shortage of AI skills in Singapore's workforce?

The data points to a gap between adoption and readiness rather than a simple shortage. IMDA's 2025 survey found about three in four workers already use AI tools regularly, but a separate 2024 JobStreet survey found only 53% of Singapore-based respondents were willing to reskill for AI, with many taking a wait-and-see approach.

Will AI replace jobs in Singapore?

This guide will not predict that either way for your specific role. What is publicly documented is that Singapore's government has stated an intention to manage AI's rollout so that it changes jobs rather than eliminating them broadly, most recently reiterated in the Prime Minister's National Day Rally address in 2025. That is a stated policy direction, not a guarantee about any individual job.

How do I find out what skills a specific employer wants?

Read actual job postings and, where possible, ask during an interview or informational conversation, rather than relying on a generic skills list. IMDA's data shows AI-related demand is concentrated among a small share of employers, so what a specific company or role actually requires can differ substantially from broader averages.

Does this data apply the same way to every job function?

No. The figures in this guide describe Singapore's workforce and job market broadly, but the specific skills that matter vary by function, and the tech-specific job postings figure in particular applies to technical roles rather than the workforce as a whole. See the function-specific guides in this series for more detail on a particular area.

The Bottom Line

The data shows AI-related demand rising in Singapore job postings, concentrated among a relatively small number of employers, alongside a workforce that has adopted AI tools faster than it has formally reskilled around them. That is a genuine, documented gap. It is not the same as a personal requirement, and no source cited here, government or otherwise, promises a specific outcome for learning a specific skill.

If you want to build the underlying skills these trends point toward, Heicoders Academy's Generative AI Course (GA100) covers foundational prompting and workflow skills relevant across functions. Use the subsidy calculator to check what you might be eligible for, or try the Course Finder Quiz if you are comparing options. Our guide to AI skills for finance professionals looks at one function in more depth, and the AI Skills and Career Relevance hub covers the rest of the series.