Singapore Enterprises Stalled by AI Execution Gap Despite High Ambition
Event summary
- 79% of Singaporean enterprises will not advance AI initiatives without proven business outcomes and a defined risk management plan.
- 82% of organizations cite storage performance and data access as their primary technical barrier to AI deployment.
- 92% of respondents report employees using personal devices to access AI tools for work, highlighting the prevalence of Shadow AI.
- 83% of APJC organizations are replacing transactional vendors with strategic partners who co-create multi-year roadmaps.
The big picture
Singapore's enterprises are moving beyond AI experimentation to business-critical deployment, but legacy infrastructure, data security gaps, and energy constraints are stalling progress. The shift towards strategic partnerships and modernized enterprise foundations highlights the critical role of secure, scalable infrastructure in turning AI ambition into measurable value. This trend reflects broader industry dynamics where AI success depends on more than software, requiring a holistic approach to data governance, energy efficiency, and long-term accountability.
What we're watching
- Infrastructure Bottlenecks
- How storage performance and data access constraints will affect the pace of AI adoption in Singapore.
- Regulatory Compliance
- Whether enterprises can balance AI innovation with data sovereignty and security requirements.
- Strategic Partnerships
- The extent to which co-creative partnerships will drive measurable business outcomes from AI investments.
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