Direct Answer
Singapore’s AI and tech hiring in 2026 is powered by IMDA‘s digital economy at SGD 128.1B (18.6% of GDP), a 214,000-strong tech workforce, and AI adoption tripling among SMEs. With EP floor rising to SGD 6,000 from 1 Jan 2027 and a new ONE Pass (AI & Tech) launching January 2027, employers need updated playbooks.
Market Size and Pace

Per IMDA, Singapore’s digital economy reached SGD 128.1 billion in 2024, up SGD 12 billion year-on-year and now 18.6% of national GDP (from 18.0% in 2023, 14.9% in 2019). The tech workforce grew to 214,000 in 2024 from 208,300 in 2023, with AI & Data and Cybersecurity as the fastest-growing role families. Median monthly wage for resident tech workers reached SGD 7,950, 1.6x the overall resident median.
AI adoption is accelerating: SMEs at 14.5% in 2024 (up from 4.2% in 2023, a tripling), non-SMEs at 62.5% (up from 44%).
Which Roles Are Actually in Demand
| Role family | Sample roles |
|---|---|
| AI / ML engineering | ML engineer, MLOps engineer, AI platform engineer |
| Data | Data engineer, analytics engineer, data platform lead |
| Cybersecurity | Cloud security engineer, SOC lead, GRC manager |
| Cloud & platform | Cloud architect, SRE, DevOps engineer |
| Product & software | Senior software engineer, staff engineer, product manager |
The tech stack that hires 2026: Python, SQL, cloud platforms (per IMDA‘s in-demand-skills analysis), plus ML frameworks (TensorFlow, PyTorch), data platforms (Databricks, Snowflake), and security stacks (SIEM, cloud-native security).
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The 2026 Pay Picture
| Role | Mid (3-7y) | Senior (7-12y) | Principal (12y+) |
|---|---|---|---|
| ML engineer | 8,500 to 12,000 | 12,500 to 18,000 | 18,000 to 26,000 |
| Data engineer | 7,500 to 10,500 | 11,000 to 15,500 | 15,500 to 22,000 |
| Cybersecurity engineer | 7,000 to 10,000 | 10,500 to 15,000 | 15,000 to 22,000 |
| Cloud / SRE / DevOps | 7,000 to 10,000 | 10,500 to 14,500 | 15,000 to 21,000 |
| Senior software engineer | 7,500 to 11,000 | 11,500 to 16,000 | 16,000 to 24,000 |
ONE Pass and EP Floors in 2027

- Per MOM COS 2026, a new ONE Pass (AI and Tech) launches January 2027, replacing Tech.Pass. This is targeted at senior AI and tech leaders.
- Per MOM EP, EP minimum qualifying salary rises to SGD 6,000 (SGD 6,600 financial services) for new applications from 1 January 2027; renewals from 1 January 2028.
- Age-adjusted EP salary: at 30 the current SGD 7,223 rises to approx SGD 7,750; at 40 SGD 9,541 rises to approx SGD 10,250.
Practical implication: 2027 offers to AI and tech senior candidates need to model both routes (EP under new floor vs ONE Pass) and pick the one that fits the candidate’s profile.
The TeSA Conversion Route
Per IMDA TechSkills Accelerator (TeSA), employers can subsidise the conversion of adjacent-domain candidates into tech roles. The Company-Led Training (CLT) programme is particularly relevant when the direct-experience candidate pool is thin. For AI & Data, Cybersecurity, and cloud infrastructure roles, TeSA CLT can materially widen the accessible candidate pool.
Competitive Hiring Tactics
- Compress interview cycles. Two rounds and a technical deep-dive; three or more loses candidates to faster competitors.
- Assess on real problems. Take-home assignments with real (anonymised) data outperform whiteboard algorithms for these roles.
- Sell the platform, not the tickets. AI and data engineers care about tooling maturity, data quality, and technical debt levels.
- Match the counter. Losing an AI or tech offer to a 15% counter is cheaper than losing the offer and restarting.
Related reading: AI data centre engineers guide, Industry 4.0 hiring, semiconductor hiring wave guide.
EDB Semiconductor Context and What It Funds
Per EDB, the Budget 2026 semiconductor R&D flagship commits SGD 800 million to deepen high-impact tech capabilities. Per EDB Semiconductor Talent, Singapore continues to develop the talent pipeline through partnerships with local universities, polytechnics, and the semiconductor industry.
The funding covers four capability layers:
- Process technology R&D for advanced nodes and specialty processes.
- Equipment and integration R&D in partnership with global tool vendors.
- Advanced packaging (2.5D, 3D, chiplet) with a strong Singapore anchor.
- Talent development at undergraduate, postgraduate, and mid-career conversion.
MTI Manufacturing Trajectory (Q1 to Q2 2026)
Per MTI’s Q2 2026 GDP release, Singapore’s manufacturing sector grew 12.2% year-on-year in Q2 2026, accelerating from 8.0% in Q1. Overall Q2 GDP was +5.9% YoY. The 2026 GDP forecast has been maintained at 2.0 to 4.0% per MTI, though downside risks have risen.
What this signals for hiring:
- The demand backdrop is stronger than the mid-cycle forecast suggested.
- Semiconductor is the dominant contributor within manufacturing; other sub-sectors also positive.
- Counter-offer pressure on incumbents is elevated. Retention budgeting matters as much as new-hire budgeting.
MOM Rules Specific to Manufacturing Employers
Manufacturing sits under a distinct MOM classification with different quota and levy rules from services:
- Manufacturing DRC 60% per MOM. Compared to services (35%) and construction (83.3%), manufacturing has materially more foreign-hire headroom.
- PRC sub-quota 25% of total workforce for manufacturing (services: 8%).
- S Pass levy SGD 650 flat per MOM S Pass levy, no tier optimisation possible.
- LQS thresholds apply the same way: local at SGD 1,800+ counts as 1.0; SGD 900 to SGD 1,800 counts as 0.5.
Employers who move plants between services and manufacturing classifications should confirm current classification with MOM before hiring at scale.
How Corestaff Runs This Category of Search
Every Corestaff mandate in Singapore follows the same underlying process discipline, adapted to the role:
- Discovery call (day 0 to 1). A 30-minute call to lock scope, must-haves, salary band, and MOM pass eligibility. We push back on unrealistic combinations of scope, seniority, and pay before we start sourcing.
- Compliance check (day 1 to 2). We verify DRC headroom, appropriate pass type (EP, S Pass, or Work Permit), and any sector-specific requirements.
- Sourcing (day 2 to 10). Active outreach across our network plus MyCareersFuture posting where the Fair Consideration Framework requires it for new EP roles. Structured screens against must-haves.
- Shortlist (day 10 to 14). 3 to 5 candidates presented with a written summary matched to your must-haves, plus salary expectation, notice period, and any pass-eligibility flags.
- Client interviews (day 14 to 25). We coordinate the panel, collect structured feedback, and keep candidates warm through the cycle. Two rounds maximum for most roles; three for senior mandates.
- Offer and close (day 25 to 35). We handle counter-offer defence, notice-period navigation, and start-date logistics. Guarantee clock starts on day one.
Where a mandate needs to run confidentially, we adapt the sourcing (outbound only) and disclosure discipline (client identity gated behind NDA) without changing the process backbone.
Why Every Fact in This Article Is Sourced to a Singapore Government Page
Recruitment content on the internet is full of confident-sounding numbers with no traceable origin. Salary figures, quota rules, pass thresholds, sector growth: all reported, few verifiable. Corestaff’s editorial rule is that any load-bearing fact must trace to a Singapore government page (MOM, EDB, MAS, MTI, IMDA, BCA, CPF Board) with an inline citation link. Where a claim cannot be sourced to a .gov.sg page, we drop the claim rather than dress it up as an estimate. This is more work; it is also why Corestaff’s content survives fact-checking by hiring managers, CFOs, and audit teams. If any specific fact in this article does not resolve to a working government source, please let us know at recruit@corestaff.com.sg and we will fix it.
Frequently Asked Questions
What is Singapore’s 2024 digital economy size?
What is the ONE Pass launching in 2027?
Can we use TeSA to fund conversions into AI roles?
Are AI/ML engineers typically EP or S Pass?
Conclusion: What to Do Next
Singapore’s digital economy is compounding. Employers who lock 2026 offers before the January 2027 policy changes and take advantage of TeSA conversions will build the teams that matter in 2028.
AI and tech hiring is a 2026-2027 window, not a 2028 plan
Corestaff runs recruitment sprints for Singapore employers across executive search, professional and mid-market hiring, and skilled-trade sourcing. We combine deep sector networks with disciplined interview and offer processes, so you close the right hire on time and within the salary envelope you signed off.
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