The Missing Link in Singapore’s AI Strategy

Why It Matters

Singapore’s AI momentum could cement its status as a regional hub, but without solid governance, data quality and modern infrastructure, businesses risk lagging behind global leaders and squandering investment.

Key Takeaways

• 67% of Singapore firms show higher AI risk appetite vs 41% globally
• 43% deploy AI to compete outside their sector, double the global rate
• 30% have eliminated outdated IT, outpacing 18% worldwide
• Only 53% have robust security; AI leaders reach 69%
• Workflow redesign lags: 37% vs 56% among top performers

Pulse Analysis

Singapore’s corporate appetite for artificial intelligence is outpacing the world, according to PwC’s 2026 Global AI Survey. Two‑thirds of surveyed Singaporean enterprises report a higher willingness to take AI‑related risks and allocate funding based on AI opportunities, a stark contrast to the global median. This enthusiasm is translating into strategic moves: nearly half of the respondents are leveraging AI to break into new markets, and a third have already retired legacy IT systems that typically choke AI scalability. The data suggests a market that is not only experimenting with AI but embedding it into growth strategies.

Despite the upbeat metrics, the survey uncovers critical weaknesses that could stall Singapore’s ambition to become an AI hub. Security postures, responsible‑AI policies, and data‑governance structures lag behind the best‑in‑class firms, with only about half of local companies reporting robust safeguards or documented AI frameworks. Moreover, fewer than four in ten firms have reengineered workflows to integrate AI natively, a practice that top performers use to unlock 7‑times higher AI‑driven revenue. These gaps highlight the classic “pilot‑to‑production” bottleneck where sophisticated models fail to deliver value because the underlying operating foundation is weak.

Policy initiatives—such as the National AI Council, regulatory sandboxes, and tax incentives—are strengthening Singapore’s AI ecosystem, but the onus now lies with enterprises to close the execution gap. Investors, vendors, and startups should focus on the less glamorous but high‑impact areas: modernizing infrastructure, establishing cross‑functional governance boards, and consolidating trusted data assets. By addressing these fundamentals, Singapore can convert its AI enthusiasm into measurable business outcomes and solidify its reputation as a leading AI hub in Southeast Asia.