A recent study from Console Connect reveals that Singaporean business executives are adopting a cautious approach towards the rapid implementation of generative AI. This study, conducted by Arlington Research among 1000 CTOs and senior IT leaders globally, includes regions such as Singapore, the UK, the USA, Australia, and Hong Kong. The findings indicate that 82% of Singaporean executives believe that the rapid adoption of generative AI will have a long-term impact on their technology infrastructure planning, compared to a global average of 76%.

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The research also suggests that Singaporean businesses are lagging behind in preparing for the implementation of generative AI. The survey reveals that 81% of respondents stated that their network infrastructure is insufficient to fully support the demands of generative AI, despite 89% including it in their future technology roadmap. In contrast, globally, 69% of leaders believe their infrastructure cannot handle generative AI, and 88% of organizations have also included it in their technology plans.

Additionally, globally, 76% of respondents feel increasing pressure on their IT teams to promote generative AI within their organizations, with this figure reaching 80% in Singapore. As generative AI generates a significant amount of additional data, the cost and complexity of handling this data and moving it between public and private clouds are also increasing.

As businesses begin to build hybrid and multi-cloud architectures to support the demands of generative AI, they need to reconsider how they access cloud services. Console Connect notes that industry leaders are becoming increasingly aware of the long-term consequences of accepting generative AI without strategic planning.

Security issues have also garnered significant attention in this survey. 58% of Singaporean respondents believe that generative AI could expose their networks to cyber-attacks or data breaches, which, although lower than the global average of 71%, is still a significant concern. Cybersecurity risks and a lack of corresponding IT skills are seen as the main obstacles for businesses when adopting generative AI.

Finally, Paul Gampe, CTO of Console Connect, stated that businesses are increasingly focusing on the need for secure connections when deploying critical AI applications, as the public internet is no longer suitable for handling many such applications and workloads. The shift towards automation and Network-as-a-Service offers businesses the possibility of breaking free from traditional network infrastructure and the limitations of the public internet, providing the opportunity to connect to the cloud through automated, private, and secure networks.

Key Points:

- 📊 82% of Singaporean CTOs are concerned that the rapid adoption of generative AI will have a long-term impact on technology infrastructure.

- 🌐 81% of Singaporean respondents say their current network infrastructure cannot meet the demands of generative AI.

- 🔒 Over half of Singaporean respondents worry that generative AI will increase cybersecurity risks.