AI has moved from boardroom curiosity to boardroom priority in Singapore. Once viewed as experimental, it is now reshaping how enterprises engage customers, optimise operations, and future-proof their business models. 

Singapore’s leadership in digital transformation is evident in its AI trajectory. According to IDC, AI spending in Singapore is projected to grow at a compound annual growth rate (CAGR) of 25.3%, rising from US$1.7 billion in 2023 to US$4.2 billion by 2027. This growth is reinforced by the government’s National AI Strategy 2.0, which positions AI as a foundation for economic competitiveness and societal progress.

NTT Data looks at the Smart Cities of Tomorrow

The question for business leaders has shifted. It is no longer “Why AI?” but “How can we embed AI responsibly and at scale?” This marks a new phase of maturity—moving beyond pilots into enterprise-wide adoption aligned with governance and trust.

From pilot projects to scalable AI architectures

The opportunity is undeniable. But enthusiasm alone does not deliver impact. Many enterprises remain stuck in proof-of-concept mode, constrained by fragmented initiatives, governance gaps, and infrastructure limitations.

Pilots will always have a place, but AI initiatives can no longer remain science projects. Business leaders must now pivot to scalable architectures aligned to industry-specific outcomes, grounded in transparency, compliance, and trust. That means building integrated systems instead of isolated experiments and treating AI as a core lever for business transformation.

Infrastructure plays a defining role in this evolution. The growing preference for hybrid or on-premises AI deployment reflects a pragmatic approach to addressing latency, data compliance, and sovereignty concerns. Enterprises are seeking agility, but not at the cost of control.

Governance, risk, and compliance: from optional to essential

Governance, risk, and compliance (GRC) has rapidly moved up the boardroom agenda, and for good reason. As AI becomes more pervasive, so do the ethical, regulatory, and operational risks that accompany it.

Yet execution lags. Nearly half (47%) of organisations in the region are still only evaluating or planning AI adoption in the next 12 months—well behind Asia-Pacific (56%) and global (49%) averages. Singapore leads as the regional hub with advanced AI maturity and infrastructure, with ROI challenges remaining a stumbling block. Achieving responsible AI at scale will require more than investment: it demands robust frameworks, auditability, and a culture of accountability. GRC is no longer a check-box but more like the foundation for trust and growth.  

Talent as the strategic enabler

The war for AI talent is intensifying. But the most forward-looking enterprises are not merely hiring; they are building. According to a recent report, Singapore tops AI readiness among 109 countries with growing interest in picking up GenAI skills. This further reiterates Singapore’s strategic positioning in driving an AI-ready workforce to enable a digital-ready future. Internal upskilling, combined with strategic partnerships, remains equally crucial for capability creation.

These partnerships are no longer seen as transactional vendors, but are co-creators of enterprise AI. They bring in specialised expertise, accelerate implementation, and help organisations stay ahead of the curve while building long-term internal fluency.

AI at the centre of business

AI is now influencing how businesses engage customers, deliver services, and accelerate go-to-market strategies. It’s not just improving operations — it’s reshaping the customer experience.

Use cases are rapidly maturing: from AI-powered chat agents and engineering design automation to personalised marketing and predictive analytics. The impact is real — measurable gains in productivity, responsiveness, and speed to value are making AI a strategic lever, not just an operational asset.

Sector-specific use cases come to life

AI’s trajectory is no longer generic. Enterprises are deploying it with precision, aligned to their sector’s unique imperatives.

  • In BFSI, AI is being deployed in fraud detection, risk scoring, and personalised financial services. The Monetary Authority of Singapore (MAS) has been actively guiding the sector through its FEAT principles (Fairness, Ethics, Accountability, and Transparency), ensuring responsible adoption. 
  • In Manufacturing, AI plays a growing role in predictive maintenance, quality assurance, and sustainability tracking. Singapore’s push in advanced manufacturing and semiconductors makes AI adoption particularly relevant for precision engineering. 
  • In Retail, local retailers are adopting AI to improve inventory management, automate pricing, and personalise customer experiences. While the extent varies, Singapore’s e-commerce maturity makes retail one of the fastest-moving AI frontiers. In Healthcare, hospitals and medtech companies are leveraging AI for diagnostics, clinical decision support, and patient engagement. These efforts are aligned with the government’s Smart Nation and Healthier SG priorities, ensuring both innovation and compliance with ethical standards.

Productivity at the Edge

Employee productivity is emerging as a key outcome. Once considered a soft benefit, it is now among the top business priorities. Early-stage adoption of AI-powered PCs signals the start of this trend, with organisations seeking to enhance digital fluency and output at the edge.

AI as a business imperative, not just technology

These shifts all point to a single truth: AI is no longer a standalone tech initiative in Singapore. It is central to business strategy. But the winners will not be those who deploy the most tools. They will be the ones who get the fundamentals right: governed, clean data; secure and scalable infrastructure; and an operating model that integrates AI into everyday decisions.

 Singapore’s AI opportunity is massive, but unlocking it will require courage, clarity, and commitment from enterprise leaders. In this new era, AI leadership is business leadership.

The article titled “From ambition to action: how ai is reshaping enterprise priorities in Singapore” was authored by Sumir Bhatia, President – Asia Pacific, Lenovo ISG

About the author

Sumir is the President of Infrastructure Solutions Group (ISG) for Asia Pacific and is responsible for leading Lenovo’s growth across its enterprise solutions and services offerings. As the leader of 17+ markets in AP, Sumir supports regional business leaders with creating customer delight, building alliances, and executing product & go-to-market strategies while building and empowering teams to drive innovation and excellence.

Sumir’s strong technical and business acumen, understanding of the changing business landscape, and ability to deliver value to customers and all stakeholders, makes him a transformational business leader. Under his leadership, ISG business in AP has seen tremendous growth, new product lines, and rapid expansion. As a diversity advocate and leadership coach, he is a regular at global and regional leadership conclaves and industry events and brings his unique perspective to smartify the boardroom.

With over three decades of senior leadership experience in the AP IT industry, Sumir has worked with talented teams and led enterprise portfolios in top multinationals such as Dell, Nortel Networks, HCL Group, and Thakral Group. Aside from Asia Pacific, Sumir has also led GTM execution in EMEA. Sumir coined the term ‘Smart Normal’ – a mindset that determines not only how we respond to a dynamic business environment but also how we interact with our stakeholders to bring smarter technology for all. True to his vision to take Lenovo from ‘the pocket to the data centre to the cloud’, ISG AP today provides scalable, secure, and flexible as-a-service solutions across the cloud, edge, HPC, and analytics to AI portfolios for small to large to multi-national businesses.

His expertise includes AI-driven commercial solutions, sales and business development, channel marketing, data centre and infrastructure solutions, and cloud and hybrid technology.

Sumir holds a Bachelor of Engineering and Computer Science from the BMS College of Engineering, India. He is presently based in Singapore with his family.