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How to move the needle on artificial intelligence adoption

The Enterprise Compute Initiative can help businesses move beyond pilot projects in their AI journey and drive industry-wide transformation.


In brief

  • Resource-constrained companies face challenges in enterprise-wide AI adoption due to the significant infrastructure and talent investments required. 
  • The ECI offsets AI development expenses and helps enterprises access a higher level of technical expertise needed for large-scale deployment of AI solutions. 
  • It also helps them develop and implement sector-specific AI solutions that are not available off-the-shelf from software providers.

The call for enterprises to invest in technology to enhance productivity and competitiveness is loud and clear. In Budget 2025, a new S$150 million Enterprise Compute Initiative (ECI) was announced to help enterprises grow their artificial intelligence (AI) R&D and productization capabilities.

According to the Infocomm Media Development Authority’s Singapore Digital Economy Report 2024, only 4.2% of small- and medium-sized enterprises (SMEs) and 44% of larger enterprises have adopted AI. Meanwhile, the technology is not standing still. AI has evolved from its traditional forms into generative AI and agentic AI. Clearly, there is much room for enterprises in Singapore to stay in step and accelerate the use of AI for growth and innovation.

From adoption to scale

Like most transformation projects, enabling enterprise-wide AI adoption requires a holistic approach across people, processes and technology, whether it is finding the right AI talent, choosing the right AI software or having the right AI infrastructure. Typically, large multinational organizations have the advantage of internal funding, larger budgets and in-house AI teams to develop solutions on a large scale and train the workforce to use the new tools effectively. 

Smaller enterprises, on the other hand, are often resource-constrained and invariably face challenges in building AI applications in-house due to the significant infrastructure and talent investments required. This group of enterprises may therefore find the ECI helpful and timely.

The initiative offers enterprises access to cloud compute credits, training programs from cloud service providers and grants to use consultancy services by system integrators to help them develop and scale AI solutions. This removes implementation burdens like a lack of understanding of whether solutions are right for their business and the potential impact on existing processes and the workforce. It is particularly useful for organizations that have compelling AI use cases; the extra boost in funding and external vendor support can help them accelerate their AI builds.

Aside from offsetting expenses in AI development, the ECI addresses a vital part of the enterprise AI journey — it helps enterprises move beyond proofs-of-concept and pilot projects. Advancing beyond these initial stages requires a higher level of technical expertise that is likely not available within organizations. Leveraging the ECI to tap into readily available professional expertise can hold the key to unlocking significant productivity gains and cost efficiencies at scale.


The ECI helps enterprises tap into a higher level of technical expertise needed to move beyond proofs-of-concept and pilot projects in their AI journey, which they would likely lack otherwise.


Taking a collaborative approach

SMEs also stand to benefit from AI solutions that have been developed through the experiences of larger players in the sector. The ability to implement such solutions with confidence, knowing that they have been proven to work, can be motivating.

Under the existing Productivity Solutions Grant (PSG), there are existing off-the-shelf digital solutions that offer SMEs a cost-effective and accessible entry point for AI adoption. However, these primarily cater to uses in general business functions.

It would be highly complementary to add tailored AI solutions developed through the ECI to the suite of PSG-supported solutions. In this regard, the ECI also potentially creates opportunities for enterprise use cases to be used as blueprints for broader AI adoption, which could uplift entire sectors.

Alternatively, Singapore could create a platform akin to a national AI application store that houses all AI solutions that can be adopted with government support. This AI store could also include shared services for AI maintenance and support as well as cloud and infrastructure management. This could potentially drive down the total cost of technology ownership, ensuring that both affordability and innovation remain priorities.

AI for Singapore, made in Singapore

The ECI marks a pivotal step in advancing AI adoption in Singapore, particularly in addressing enterprise needs for sector-specific solutions that are not available off-the-shelf from software providers.

The initiative strengthens enterprises’ ability to adopt — and scale — AI, laying the foundation for industry-wide transformation. It also provides fertile ground for nurturing the AI talent pool while facilitating knowledge transfer.

With lowered adoption barriers, at least from funding and expertise perspectives, SMEs are better enabled to keep pace with the AI evolution. A strong and innovative Singapore enterprise core will further enhance the country’s attractiveness to foreign investments and position it favorably in the race for leadership in AI innovation.

This article was first published in The Business Times on 11 April 2025.

Summary

Enterprises may not be able to afford the significant infrastructure and talent investments needed to build AI applications in-house and move beyond proofs-of-concept and pilot projects. The ECI allows them to offset AI development expenses and tap into a higher level of technical expertise to help achieve significant productivity gains and cost efficiencies.

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