Singapore Government Calls on Enterprises to Adopt AI with 'Speed and Scale'

Historically, economies are built on decisive infrastructure bets — from ports and connectivity to digital services. Today, AI represents the next foundational investment with far‑reaching economic impact.

In the 2026 budget statement, the Singapore government emphasised that the country’s economic strength – partly attributed to AI investments – led to 5% growth. So, for organisations still treating AI as a side project or a proof of concept, it’s time to move beyond exploratory efforts and adopt AI fully. 

Prime Minister and Finance Minister Lawrence Wong said, “To fully realise AI’s potential, we must go beyond individual pilots and isolated experiments. We must organise at a national level, and move with speed and scale.”

When we read this government statement, we saw a clear direction on how organisations should act.

AI: Singapore’s Strategic Advantage

AI is no longer positioned as a limited prototype, but rather as a strategic advantage that underpins the competitiveness of organisations, and, in effect, Singapore’s economy. In fact, the Singapore government alone is allocating S$1 billion in investments from 2025 to 2030 to boost its public research capabilities in AI.

Furthermore, the government is pushing organisations to operationalise AI across the full value chain — even providing support through an ambitious national AI agenda: 

• Four AI missions spanning advanced manufacturing, connectivity, finance, and healthcare
• A new National AI Council chaired by the Prime Minister
• Champions of AI programme for comprehensive AI use within organisations
• An expanded Enterprise Innovation Scheme that includes tax deductions for AI expenditure as a qualifying activity

These national AI initiatives reflect concrete policy direction, assisting enterprises to pursue end-to-end transformation toward the national goal of leveraging AI for success.

Combating AI Fears with Clear Rules

One of the most notable acknowledgements in the budget statement was recognition that even global companies are "grappling" with AI transformation.

That acknowledgement matters because AI security is not a technology problem — it's a readiness problem.

In fact, #shifthappens The State of AI 2025 report found that, for organisations, the main challenges to AI readiness are:

•  Inaccurate AI output due to outdated or irrelevant data (68.7%)
• Unauthorized exposure of sensitive data due to AI (68.5%)
• Lack of a framework for change management with AI (61.4%)

Intelligent workflows depend on a foundation of well‑managed content. AI can only accelerate decision‑making when data is unified, governed, and consistent across the organisation. And in regulated environments – such as finance, healthcare, or legal – responsible AI deployment requires controls that demonstrate the system is operating safely and as intended.

To organisations that still have apprehensions about AI, Prime Minister Lawrence Wong's words were direct: "Fear cannot be Singapore's response. If we allow uncertainty to paralyse us, we will fall behind in a world that is moving rapidly ahead." 

To combat fears associated with AI, 90.6% of the organizations put an information management framework in place to classify data and prevent data security incidents, according to #shifthappens The State of AI 2025 report.

When AI systems have clean, well-structured, permission-governed data to draw from, they produce better outputs, create fewer risks, and deliver measurable business value — not just impressive demos.

Creating a Safe Space for AI Innovations

One of the most important signals in Singapore’s AI direction is the emphasis on responsibility. Rather than slowing innovation, clear rules and expectations set the conditions for sustainable adoption. In practice, creating a safe space for AI innovation means:

• Data that is organised, classified, and permissioned. AI systems are only as reliable as the information they draw from. This requires a clear understanding of what data exists, where it resides, how sensitive it is, and who is allowed to access it. Without consistent classification and permissions, AI can create inconsistent or unreliable outputs.
• Processes that are transparent and auditable. Enterprises need to be able to explain how AI is used, how decisions are made, and how outcomes can be reviewed. Transparent processes create trust with regulators, customers, and internal stakeholders, and reduce reliance on ad hoc justifications when questions arise.
• Systems that can demonstrate compliance without manual workarounds. Responsible AI cannot depend on spreadsheets, screenshots, or after‑the‑fact reporting. Controls must be embedded into the systems themselves, so compliance, security, and governance are continuously enforced rather than retrospectively proven.

Organisations that treat these foundations as core design principles – rather than afterthoughts – are better positioned to scale AI confidently. They can operate more efficiently because risks are managed proactively. This approach demonstrates to regulators, clients, and their own boards, that AI is being used in ways that are auditable, explainable, and secure.

From controlling access to sensitive data used in AI workflows, to ensuring that AI-generated content is appropriately classified and retained, AvePoint's AI solutions help organisations operationalise responsible AI.

AvePoint is well-positioned to support firms pursuing this pathway. Beyond technical depth and implementation expertise, our consulting teams work closely with clients to design, optimise, and operationalise AI applications and programmes. We help organisations adopt AI responsibly, scale initiatives confidently, and deliver measurable outcomes for businesses and citizens. 

Aligning Enterprise Action with National Direction

Singapore's ambition is clear: to be a trusted global hub where AI is developed, tested, and deployed faster and more coherently than anywhere else. What's needed now are enterprises that are ready to act, guided by clear priorities, disciplined execution, and experienced partners.

AvePoint’s consulting approach focuses on what many pilots miss: the operational backbone needed to scale AI across departments from readiness and use-case design to implementation and adoption.

Singapore’s broader push includes the Enterprise Compute Initiative (ECI), a government programme designed to help Singapore-based companies advance AI transformation through cloud credits or tools, as well as consultancy support for minimum viable product (MVP) development and change management. The programme covers total supportable costs of up to S$150,000, with the Digital Industry Singapore (DISG) providing 70% funding under the Enterprise Compute Initiative (ECI), capped at S$105,000 per company.

For Singapore organisations that want to move from AI intent to implementation, AvePoint is an official ECI partner offering end-to-end support — from identifying AI opportunities and shaping use cases to implementing solutions aligned with business goals.