Three countries are making bold moves to build homegrown artificial intelligence capabilities outside Western control, signaling a fundamental shift in how nations approach technological sovereignty. The UAE is projecting its AI market will balloon to $213 billion by 2035, Indonesia is establishing university-based AI research hubs to tackle local challenges, and regional telecom operators are embedding AI directly into connectivity services. These parallel developments reveal a pattern: emerging economies are no longer waiting to adopt AI from abroad; they are building the infrastructure, talent, and policy frameworks to create it themselves (Sources 1, 2, 3).

How Is the UAE Becoming a Global AI Powerhouse?

The UAE's transformation into an AI leader didn't happen by accident. The country appointed the world's first Minister of State for Artificial Intelligence back in 2017, five years before ChatGPT launched. That early commitment has compounded into a comprehensive national strategy. The UAE's AI market is estimated at $5.50 billion in 2025 and is projected to grow at a compound annual rate of 44.15% over the next decade, reaching approximately $213.06 billion by 2035. To put that growth in perspective, the market is expected to expand roughly 38.7 times its current size in just ten years.

What makes this projection credible isn't just optimism; it's backed by concrete infrastructure investments and policy commitments. Abu Dhabi's sovereign investment vehicle, MGX, has committed $49 billion specifically to AI investments. The emirate is also building Stargate UAE, a 5-gigawatt AI data center campus that will rank among the world's largest computing facilities outside the United States. The first phase, delivering 200 megawatts of capacity, is scheduled to be completed by 2026.

Perhaps most striking is the UAE government's pledge to transition 50% of all government services to autonomous AI systems within two years, a world-first commitment announced in 2026. This isn't theoretical; it's a concrete policy target that will drive massive demand for AI infrastructure and talent.

What Do These Numbers Mean for AI Adoption?

The UAE's AI adoption rate already exceeds most developed nations. According to market research, 70.1% of the UAE's working-age population is using AI, a figure that has climbed steadily from 64.0% earlier in 2025 and dwarfs the U.S. adoption rate of 28.3%. This isn't a passive statistic; it reflects how deeply AI has woven itself into daily work and life across the country.

The talent pipeline is accelerating too. Demand for AI-related jobs in the UAE has more than tripled over four years. Job postings for AI roles jumped from roughly 1.0% of all postings in 2021 to 3.2% by 2025, surpassing rates in the United States, United Kingdom, Germany, and France. Meanwhile, Abu Dhabi's base of AI companies grew by 67% in 2025 alone, reaching approximately 700 companies, and UAE-based AI startups raised $519 million in funding that year, representing 60% of all AI investment in the Middle East and North Africa region.

By 2030 to 2031, AI is expected to contribute $96 billion to UAE's GDP, representing roughly 13.6% to 14% of total economic output, the largest AI contribution among all Gulf Cooperation Council nations.

How Are Telecom Operators Embedding AI Into Everyday Services?

While the UAE builds sovereign compute infrastructure, regional telecom operators are making AI accessible to businesses through connectivity services. e&, the UAE's major telecom provider, has become the first in the region to embed agentic AI directly into core business connectivity plans. Agentic AI refers to systems that can understand objectives, organize information, and carry out sequences of tasks under defined controls.

The company launched this capability in its Business Pro fixed internet services and enterprise connectivity plans, with mobile customers able to add it to existing packages. Alongside this, e& introduced Sovereign AI Compute in partnership with Core42, a sovereign cloud specialist. This service combines UAE-based GPU capacity with secure, high-performance connectivity, allowing businesses to develop, test, train, and deploy AI applications while keeping sensitive data within national borders.

"The launch aims to address common barriers to AI adoption, including infrastructure constraints, security considerations and the need for specialist resources. e& UAE enables customers to start with built-in AI tools and scale into sovereign computing, security and cloud services as needs grow," according to the company's announcement.

e& UAE, Official Statement

For small and medium-sized businesses, this approach removes significant friction. Rather than assembling AI infrastructure, security, compute, and connectivity from separate vendors, companies can now activate agentic AI as part of their existing internet or mobile service. Larger enterprises and government entities can combine these capabilities with e&'s enterprise connectivity products to support business-critical applications and data-intensive workloads.

Why Are Universities Becoming Centers of Sovereign AI Development?

Indonesia is taking a different but complementary approach by positioning universities as hubs for sovereign AI research and talent development. The country launched the UGM Indosat NVIDIA AI Technology Centre in Yogyakarta, a joint initiative involving the Ministry of Communication and Digital Affairs, telecom operator Indosat, NVIDIA, and Universitas Gadjah Mada (UGM).

The centre operates under Indonesia's AI Centre of Excellence programme and focuses on three priority areas that directly address national challenges:

• Healthcare: Researchers at UGM's Faculty of Medicine are developing eNose-TB, an AI-powered screening system that analyzes breath samples to identify potential tuberculosis cases. Indonesia records more than one million new tuberculosis cases annually, and the technology aims to improve screening in rural and underserved communities.
• Agriculture: The SmartAgri project combines satellite imagery, sensor data, and local farming knowledge to generate recommendations on irrigation and crop management, supporting small-scale farmers in a sector that employs nearly 30% of Indonesia's workforce.
• Disaster Management: Tech4Disaster is developing a geospatial AI platform designed to improve emergency preparedness by processing satellite and sensor data more efficiently. Given Indonesia's location along the Pacific Ring of Fire, the technology aims to strengthen disaster monitoring and accelerate response during earthquakes, volcanic eruptions, and other natural disasters.

The centre combines NVIDIA's AI software and models with GPU Merdeka, Indosat's sovereign GPU-as-a-service platform, providing local researchers with access to advanced computing infrastructure and development frameworks. This addresses a critical bottleneck: although Indonesia has a large research community, limited access to advanced hardware, AI models, and specialized software has historically constrained the development of locally focused AI solutions.

"The initiative is intended to strengthen the country's technological independence and reduce its reliance on imported AI technologies," stated Meutya Hafid, Indonesia's Minister of Communication and Digital Affairs, adding that the centre reflects the country's ambition to move beyond AI adoption and become a contributor to global AI innovation.

Meutya Hafid, Minister of Communication and Digital Affairs, Indonesia

What Are the Practical Steps Nations Are Taking to Build Sovereign AI?

These three examples reveal a consistent playbook for sovereign AI development:

• Policy Commitment: The UAE appointed a dedicated AI minister in 2017 and set a target to automate 50% of government services by 2026. Indonesia's government is actively supporting university-based research centers. Clear policy signals attract capital and talent (Sources 1, 3).
• Capital Deployment: The UAE's MGX fund has committed $49 billion to AI investments. Indonesia is leveraging partnerships with private telecom operators and global technology companies to share infrastructure costs. Sovereign wealth and strategic partnerships fund infrastructure without requiring governments to build everything alone (Sources 1, 3).
• Infrastructure Development: The UAE is building Stargate, a 5-gigawatt data center. Indonesia is embedding AI compute into university research centers. Both approaches create local capacity to train models and run applications without dependence on foreign cloud providers (Sources 1, 3).
• Talent Development: The UAE is seeing AI job postings triple in four years and startup funding surge. Indonesia is establishing university-based centers to train researchers and students on locally relevant problems. Building talent pipelines ensures long-term capability, not just short-term projects (Sources 1, 3).
• Practical Integration: e& is embedding AI into telecom services so businesses don't need to assemble complex stacks. Indonesia is focusing AI research on healthcare, agriculture, and disaster management, problems that matter to citizens. Sovereign AI succeeds when it solves real problems, not when it exists in isolation (Sources 2, 3).

The broader pattern is clear: nations are no longer content to be consumers of AI built elsewhere. They are investing in the compute infrastructure, research institutions, policy frameworks, and talent pipelines required to build AI systems that reflect their own priorities and values. The UAE's $213 billion market projection, Indonesia's university-based research hub, and e&'s embedded AI services are not isolated initiatives; they are part of a global shift toward technological sovereignty that will reshape how AI is developed, deployed, and governed over the next decade.