JAKARTA - Equinix revealed that the digital economy in Indonesia is beginning to enter a new phase. This phase focuses on the readiness of Artificial Intelligence (AI) infrastructure and high data needs.
This transformation is predicted to shape a more connected and hybrid digital landscape in 2006. The national digital economy is also predicted to continue to strengthen. In line with this prediction, the following are 5 trends that shape Indonesia's digital infrastructure landscape in 2026.
High Density Infrastructure Ready for AI
Low-density rack models are now being abandoned because they are inadequate for processing heavy AI workloads. Power requirements have jumped from just 2-5 kW to more than 30 kW per rack to support analytical needs.
Data centers in Indonesia are starting to adopt the latest generation of cooling technologies such as liquid cooling. This step ensures that sensitive data remains within the country with very low latency.
Resilience as a Basic Standard through Regional DR
Always-on digital services are now the standard expectation for the e-commerce and fintech sectors. Companies no longer tolerate downtime that can harm businesses and users.
The resilience strategy is now expanded by utilizing locations such as Batam, Surabaya, and Singapore as disaster discovery sites. The use of private interconnection is also the key to achieving faster and safer data recovery targets.
Data Sovereignty from the Design Stage
Data sovereignty has shifted from merely a policy discourse to a technical requirement that must be met. This is in line with the full implementation of the Personal Data Protection Law (PDP Law) and PP Number 71.
Many organizations are beginning to implement a 'local computing, global interconnection' model to protect sensitive personal data. This approach facilitates the audit process while enabling regional collaboration without the risk of public internet security.
Distributed AI Gets Closer to Data Location
The AI-based decision-making process is now shifting to the location where data is generated or the edge. The need for real-time responses encourages the use of edge inference nodes in the logistics and manufacturing sectors.
This trend is also supported by the development of an ethical framework and national AI roadmap by the Indonesian government. This architecture combines edge inference, regional computing, and secure interconnection to support innovation.
Hybrid Multi-Cloud as a Standard Operating Procedure
The hybrid multi-cloud model is no longer just a transition phase, but a permanent operational standard. Now, many companies use various cloud platforms to avoid dependence on one service provider only.
Neutral interconnection platforms play an important role as an integration layer between on-premises systems and major cloud providers. This flexibility helps companies optimize costs while meeting national data sovereignty requirements.
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