AI Infrastructure in Emerging Markets: $750B Investment Shift

The convergence of artificial intelligence, 5G networks, edge computing, and hyperscale data centers is fundamentally reshaping the global technology landscape. However, this transformation is not just occurring in Silicon Valley or London – emerging markets are positioning themselves as the architects of AI-ready infrastructure, creating unprecedented opportunities for investors, governments, and enterprises ready to capitalize on this digital revolution. This blog covers how emerging markets are becoming key players in the global AI infrastructure boom, highlighting investment shifts into AI-ready data centers, 5G networks, and edge computing that are driving economic growth and digital transformation.

How Strategic AI Investments are Transforming Economies

The numbers tell a compelling story. Global AI data center investment reached a record US$57B in 2024, with emerging markets capturing an increasingly significant share of this capital deployment. This is not merely about catching up to developed economies – it is about leapfrogging legacy systems, much like how previous technologies such as the PC, internet, and smartphones enabled rapid progress in these regions. By bypassing outdated infrastructure, emerging markets are establishing the foundation for the next generation of AI-powered economic growth.

As AI infrastructure is rapidly adopted in these regions, the resulting economic benefits are expected to drive productivity and GDP growth, ultimately improving living standards. Over the next decade, these advancements are projected to transform societies, enabling sustained economic development and greater prosperity.

How The Data Center Boom is Transforming Emerging Markets

The global AI data center market is experiencing explosive growth, valued at US$167.8B in 2024 and projected to reach US$236.4B by 2025, a staggering 31.6% growth rate driven by insatiable demand for AI-ready infrastructure. This surge is fueled by significant data center construction as big tech and major companies invest heavily in building new, AI-capable facilities, especially in emerging markets. Emerging markets are no longer peripheral players in this expansion; they are becoming central to the global AI economy.

Latin America exemplifies this transformation, with over US$2B in data center investment anticipated in 2024 alone. The regional market is expected to double from US$5-6B in 2023 to US$8-10B by 2029, demonstrating the accelerating pace of digital infrastructure development across emerging economies.

Where Emerging Markets Are Building AI Infrastructure

India: Bridging the Data Divide

Despite hosting nearly 20% of the world’s data, India commands only 3% of global data center capacity – a disparity that represents both challenge and opportunity. The country requires an additional 45-50 million square feet of real estate dedicated to data centers to meet AI infrastructure demands. With India’s AI market forecasted to reach US$20-22B by 2027, this infrastructure development is critical for the nation’s digital transformation.

Latin America: A Digital Acceleration

Brazil leads regional investment, accounting for approximately 40% of Latin America’s total data center capital deployment. São Paulo leverages access to 10 major submarine cable routes, positioning itself as a regional connectivity hub essential for AI-driven technologies. Meanwhile, Mexico’s Querétaro has emerged as an unexpected data center destination, attracting investments through strategic power supply initiatives and competitive land costs.

Middle East: Sovereign Technology Vision

The UAE and Saudi Arabia are making bold investments in AI infrastructure. Abu Dhabi is setting new standards with Microsoft’s US$1.5B investment in G42 and Oracle’s plans for fivefold expansion. Saudi Arabia’s partnership between the Public Investment Fund and Google Cloud, valued at US$71B in economic impact, underscores the region’s commitment to becoming a technology hub. These countries are also making strategic investments to secure resources and protect sensitive data as part of their AI infrastructure plans, ensuring digital sovereignty and resilience in the face of global supply chain shifts.

Africa: Awakening an AI-Driven Future

Africa is taking critical first steps toward AI-ready infrastructure. Zimbabwe’s Cassava Technologies, partnering with Nvidia, is developing Africa’s first AI factory, addressing the continent’s significant computing capacity shortage, which currently accounts for just 0.1% of global resources. Investments in AI infrastructure are also supporting the growth of local manufacturing capabilities, helping to build resilient supply chains and foster new industries across the region.

When Delphos structured financing for the Diamer Bhasha Dam (US$13B), we proved that complex infrastructure in emerging markets can attract global capital. We bring the same structuring expertise to AI infrastructure.

How AI Workloads are Driving Infrastructure Innovation

AI workloads are transforming data center design and operations, demanding more powerful hardware and enhanced network infrastructure. While traditional data centers operated at around 8kW per rack, AI facilities now require up to 17kW per rack, with some applications reaching 120kW, resulting in vast amounts of energy and cooling needs. This surge in power demands is spurring innovation to boost productivity and efficiency in data center operations.

Advanced Cooling Solutions

Liquid cooling technologies are key to managing the heat from AI workloads. Predictive maintenance and remote monitoring ensure optimal performance and reduce downtime. Direct-to-chip and liquid immersion cooling improve energy efficiency, with some data centers cutting power usage effectiveness by 10%. These advanced cooling solutions are often offered as services to enhance operational reliability.

Edge Computing Integration

Edge computing adoption is accelerating in emerging markets to support latency-sensitive AI applications in fintech, healthcare, and agriculture. By processing data closer to end users, these markets overcome local challenges and build robust infrastructure for broader AI use. The rise of connected devices drives the need for real-time monitoring and advanced data management across various sectors.

Why 5G Rollout is The Foundation of AI Infrastructure

5G networks provide essential connectivity for AI applications, enabling high-speed data transfer and real-time processing. Global 5G connections reached 2.25B users by the end of 2024, growing faster than 4G LTE did. This expansion is strong in emerging markets, where strategic investments in next-generation connectivity support applications like autonomous vehicles and large-scale AI workloads.

Standalone 5G Deployment

As of March 2025, 72 operators in 131 countries have launched commercial 5G Standalone networks, delivering the low latency and reliability AI demands. The 5G services market, valued at US$125.4B in 2024, is projected to reach US$2.21T by 2030 with a 62.2% CAGR, driving innovation across multiple verticals.

Enterprise and Private 5G

Private 5G networks are gaining traction and are expected to represent 20% of mobile network infrastructure spending by 2030. Network slicing revenues grow over 60% annually, enabling dedicated connectivity for AI workloads and critical applications. These tailored services support diverse enterprise needs and unlock new business opportunities.

Policy and Capital Driving AI Infrastructure Growth

The AI infrastructure boom in emerging markets is propelled by massive amounts of capital flows and strategic policy frameworks designed to foster sustainable growth. Several factors are driving this surge, including large companies seeking to secure resources and reduce costs for long-term infrastructure projects. Global AI infrastructure investments now total approximately US$750B, featuring landmark initiatives such as the US$100B Stargate project. This capital deployment increasingly targets emerging markets, where governments are implementing spectrum auctions, tax incentives, and regulatory stability to attract investment.

These policy frameworks not only enable infrastructure growth but also support the expansion of manufacturing and other critical sectors in emerging economies, fueling broader economic development.

Capital Deployment Trends

Emerging markets benefit from proactive spectrum management, facilitating 5G and beyond, which is a key driver of AI technology adoption. Tax incentives and regulatory sandboxes encourage innovation while maintaining oversight, enabling faster integration of AI tools across different verticals. Workforce readiness and upskilling initiatives ensure that most businesses can adapt to AI-driven changes, especially in sectors like software development, where generative AI tools are transforming productivity and task automation.

According to projections from the International Monetary Fund, investment in AI infrastructure will significantly impact global economic growth and job markets, underscoring the importance of robust data processing capabilities and enhanced security measures to protect sensitive data.

Policy Innovation

Emerging markets are pioneering regulatory frameworks that balance rapid technology adoption with necessary safeguards. These include:

• Spectrum Management: Efficient allocation and auctions to support expanding network infrastructure
• Tax Incentives: Financial benefits aimed at encouraging data center construction and AI infrastructure investment
• Regulatory Sandboxes: Controlled environments that allow experimentation with AI models while ensuring compliance
• Public-Private Partnerships: Collaborative ventures that leverage physical assets and expertise from both sectors

These innovations accelerate technology adoption and foster growth in sectors reliant on AI capabilities, helping emerging markets increase productivity and competitiveness on the global stage.

“Capital is flowing into AI and data infrastructure at unprecedented speed, but the winners will be the markets that pair investment with progressive policy. Governments that unlock energy, spectrum, and data reforms will shape the next decade of digital leadership.” – Bart Turtelboom, CEO of Delphos

Risk Mitigation Strategies

Despite promising opportunities, emerging markets face challenges such as regulatory bottlenecks, power and water scarcity, and the need for skilled workforce development. Protecting sensitive data and ensuring data privacy are paramount, especially given the massive amounts of information processed and stored in AI infrastructure projects. Integrated approaches that combine remote monitoring, predictive maintenance, and enhanced security protocols are critical to mitigating risks and maintaining trust in digital systems.

By addressing these factors proactively, emerging markets can secure their position as leaders in AI infrastructure development, supporting sustainable economic growth and technological innovation.

Policy reform opens the door, but only the right capital structure makes projects bankable. Delphos specializes in bridging that gap.

What the Future of Tech Infrastructure Looks Like

The outlook for AI data centers and 5G networks in emerging markets is highly promising. Generative AI tools and AI use are set to drive substantial productivity gains and economic benefits, reshaping industries and labor markets.

AMD CEO Lisa Su believes the AI accelerator market will grow to US$500B by 2028. Generative AI models require enormous computing power for both training and deployment. As a result, there is a rising emphasis on specialized data centers designed and optimized to handle the heavy demands of these sophisticated AI operations.

While foundation models excel at human-like conversations and creative tasks, they have limitations in professional problem-solving that requires reliable, context-specific information. Maximizing AI’s impact will require focusing on tools tailored for practical, high-value applications.

The Rise of AI Sovereignty

Emerging markets are increasingly focused on AI sovereignty – the ability to develop, deploy, and govern AI systems within their own borders. The development of local AI tools is a key component of achieving AI sovereignty, enabling countries to optimize operations, reduce costs, and enhance system reliability through AI-driven solutions. This trend is driving investment in local infrastructure, talent development, and regulatory frameworks that support indigenous AI capabilities.

Why Investors and Governments Choose Delphos

AI infrastructure is redefining how economies grow, but capital, regulation, and sustainability must align to make projects investable. That is where Delphos comes in. With more than 30 years of structuring expertise across emerging markets, we transform bold digital infrastructure visions into bankable, scalable investments.

Our Approach

• Unlock Capital: Structuring innovative financing for data centers, 5G, and edge computing.
• Navigate Policy: Engaging with regulators to ensure market entry and compliance.
• Build Sustainably: Embedding ESG principles into every infrastructure transaction.
• Mitigate Risks: Anticipating FX, policy, and operational risks to protect investor confidence.

Partner with Delphos to finance the future of AI infrastructure in emerging markets.