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Indonesian telco giant Indosat adopts Google Agentspace AI

Indosat Ooredoo Hutchison has become the first company in Indonesia to adopt Google Agentspace, an AI platform aimed at improving employee workflows and decision-making.

This announcement occurred during Google Cloud Next 2025, which took place last week in Las Vegas, United States.

Google Agentspace enables employees to build AI agents that simplify workflows by connecting with internal systems securely.

Indosat CEO, Vikram Sinha, said the platform will boost employee efficiency, knowledge sharing, operations, and customer engagement.

This move marks a major step in AI integration at work, as Indosat aims to drive growth and innovation in Indonesia through the technology.

🔗 Source: Katadata


🧠 Food for thought

1️⃣ Indonesia’s pioneering position in Southeast Asia’s AI landscape

Indosat’s adoption of Google Agentspace reflects Indonesia’s broader leadership in regional AI implementation, not just a single company initiative.

Indonesia has consistently led Southeast Asia in AI adoption rates, reaching 24.6% in 2018 compared to the regional average of 14% 1.

This early adoption aligns with the country’s National Strategy for Artificial Intelligence that outlines a comprehensive roadmap from 2020 to 2045 focusing on key sectors including health services, bureaucratic reform, and education 2.

The country’s strong digital foundation is expected to drive significant economic growth, with AI projected to add $366 billion to Indonesia’s GDP by 2030 2.

Major Indonesian tech companies like Gojek and Tokopedia have already been leveraging AI solutions, establishing a pattern of technological innovation that Indosat is now continuing with its Google Agentspace implementation.

2️⃣ Enterprise AI adoption remains challenging despite growing technology access

While tools like Google Agentspace promise easier AI implementation, the broader context reveals significant hurdles companies like Indosat must overcome.

Research shows 74% of organizations struggle to extract scalable value from AI integration, with over 90% facing difficulties merging AI with existing systems 3.

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