Singapore, positioning itself as a global hub for technological innovation, faces a serious challenge in the adoption of artificial intelligence. My analysis of the latest data shows that 78% of local IT leaders point to a critical shortage of infrastructure for real-time data processing, which directly hinders the scaling of AI initiatives.

A study covering 4,625 IT leaders from 14 countries revealed that 72% of companies worldwide face at least three major obstacles when deploying AI. In Singapore, this figure is even higher — 78%. This is an alarming signal for the market, demonstrating that even in technologically advanced regions, the infrastructure base is not keeping pace with ambitions.

The main problems I identify as the most critical:

  • Insufficient infrastructure for streaming data — 72% (up from 61% in 2025). This is a key barrier that is worsening each year.
  • Chronic shortage of qualified AI personnel — 71%. The labor market simply cannot train specialists of the required level fast enough.
  • Uncertainty about data quality and provenance — 66%. Without trust in data, any AI system is doomed to fail.
  • Fragmented data ownership — 65%.
  • Limited integration of new sources — 64%.

The infrastructure deficit hits agentic AI particularly hard — systems that must make decisions in real time based on the current business situation, rather than outdated data. Over 73% of Singaporean IT leaders reported pausing such projects. This is comparable to pan-Asian figures: 74% of projects are frozen, and 53% have been completely shut down.

Paradoxically, 86% of Singaporean leaders recognize streaming data as one of the top investment priorities, alongside AI and machine learning. This suggests that the market is aware of the problem, but the pace of implementing infrastructure solutions has yet to match the growth rate of AI workloads.

My expert opinion: Singapore is at a crossroads. Investment in streaming infrastructure is not just a technical upgrade, but a strategic necessity to maintain competitiveness. If these "bottlenecks" are not addressed within the next 12-18 months, the region risks ceding leadership in agentic AI to more agile and prepared markets, such as the US or China. The streaming data market is becoming the new "digital gold," and those who fail to mine it will be left on the sidelines of the AI revolution.