The race to build infrastructure capable of supporting next-generation artificial intelligence workloads continues to accelerate. Against this backdrop, EdgeCore Digital Infrastructure Chief Commercial Officer Clint Heiden has been confirmed as a featured speaker at TCW LIVE!, where industry leaders will discuss how surging demand for AI compute is transforming the data center, cloud, and connectivity sectors.

As enterprises, cloud providers, and AI developers invest heavily in large-scale computing environments, digital infrastructure providers are facing unprecedented pressure to expand capacity. The growing demand for AI training and inference workloads is driving a new wave of investment across data centers, power infrastructure, networking, and cloud ecosystems.

This industry transformation will take center stage at TCW LIVE! in September 2026, where Clint Heiden, Chief Commercial Officer of EdgeCore Digital Infrastructure, will join a panel examining the future of AI infrastructure and the rapidly evolving competitive landscape surrounding AI compute.

The session, titled "The New Digital Infrastructure Arms Race for AI Compute: Data Center Providers, Hyperscalers, and Neocloud Providers," will bring together executives from across the digital infrastructure ecosystem, including Oracle's Dr. Sanjay Basu and IG Group CEO Vinay Nagpal.

The discussion reflects one of the most significant technology infrastructure shifts in recent decades. The explosive growth of generative AI, large language models, and advanced machine learning applications has created demand for specialized infrastructure capable of supporting high-density GPU deployments, low-latency connectivity, and massive power requirements.

For data center operators, the challenge extends far beyond simply adding capacity.

Modern AI workloads require facilities specifically designed for dense computing environments, advanced cooling systems, resilient power delivery, and high-speed network connectivity. These requirements are reshaping how infrastructure providers select sites, design facilities, and engage with customers.

EdgeCore has positioned itself within this rapidly expanding segment of the market by focusing on large-scale infrastructure solutions for hyperscale cloud providers and enterprise customers. As Chief Commercial Officer, Heiden oversees the company's go-to-market strategy around delivering high-density infrastructure designed to support next-generation compute demands.

His participation in the panel comes at a time when AI infrastructure has become one of the most competitive areas within the technology sector.

Hyperscale providers such as Amazon, Microsoft, and Google continue to invest billions of dollars in expanding AI-ready infrastructure. At the same time, a growing ecosystem of specialized cloud providers, often referred to as "neoclouds," is emerging to serve organizations seeking dedicated AI compute resources.

These market dynamics have created what many industry observers describe as an infrastructure arms race.

According to IDC, global spending on AI infrastructure is expected to grow significantly over the next several years as enterprises move AI projects from experimentation to production environments. Gartner similarly identifies AI infrastructure modernization as a top priority for organizations seeking to scale advanced analytics and generative AI initiatives.

Power availability has become one of the most critical factors influencing infrastructure development.

Unlike traditional enterprise workloads, AI clusters require enormous amounts of electricity. As a result, data center operators are increasingly evaluating locations based on power accessibility, utility partnerships, renewable energy availability, and long-term capacity planning.

Cooling technology is also emerging as a strategic differentiator. High-performance GPU deployments generate substantially more heat than conventional computing environments, driving increased adoption of liquid cooling and other advanced thermal management approaches.

Beyond physical infrastructure, connectivity is becoming equally important.

AI applications depend on rapid data movement between cloud environments, enterprise systems, and distributed users. This has elevated the importance of fiber networks, interconnection ecosystems, edge computing infrastructure, and low-latency network architectures capable of supporting real-time AI services.

The TCW LIVE! discussion is expected to explore how these interconnected factors are influencing investment decisions across the digital infrastructure landscape. Industry leaders will examine how data center providers, cloud platforms, network operators, and emerging infrastructure specialists are adapting to meet growing demand.

Another area likely to receive significant attention is the evolving relationship between hyperscalers and infrastructure partners.

As AI deployments grow larger and more complex, cloud providers increasingly rely on ecosystem partnerships to accelerate expansion timelines and secure access to power, land, and connectivity resources. This trend is creating new business opportunities for infrastructure developers while simultaneously intensifying competition for strategic assets.

Heiden's extensive background across telecommunications and data center organizations provides a unique perspective on these developments. Over nearly three decades, he has held leadership roles across major infrastructure companies and has witnessed multiple technology transitions, from internet expansion and cloud adoption to today's AI-driven transformation.

The broader significance of the TCW LIVE! panel extends beyond infrastructure providers alone.

Enterprise technology leaders, SaaS providers, AI platform vendors, investors, and cloud operators all have a stake in how the next generation of digital infrastructure evolves. The availability of compute resources, networking capacity, and energy infrastructure will play a critical role in determining how quickly organizations can deploy and scale AI applications.

As AI adoption accelerates globally, infrastructure is increasingly becoming a strategic business issue rather than a purely technical consideration. Organizations seeking competitive advantages through artificial intelligence may ultimately find that access to scalable, reliable, and efficient infrastructure becomes just as important as the AI models themselves.

The discussions at TCW LIVE! highlight a reality facing the technology industry: the future of AI will depend not only on advances in algorithms and software but also on the physical and digital infrastructure capable of powering them.

Market Landscape

The AI infrastructure market is experiencing unprecedented growth as enterprises increase investments in generative AI, machine learning, and advanced analytics. According to IDC, spending on AI infrastructure continues to rise as organizations expand production-scale deployments. Gartner has similarly identified AI-ready infrastructure as a critical enabler of enterprise digital transformation.

The market is increasingly shaped by hyperscale cloud providers, specialized AI cloud platforms, colocation operators, and digital infrastructure companies competing to secure power resources, strategic locations, and connectivity assets. Data center modernization, liquid cooling technologies, edge computing, and GPU-optimized environments are emerging as major investment priorities across the sector.

Top Insights

• EdgeCore's Clint Heiden will join industry leaders at TCW LIVE! to discuss the growing demand for AI compute infrastructure and its impact on global digital ecosystems.
• Rising AI adoption is driving significant investments in data centers, power infrastructure, connectivity networks, and specialized GPU environments.
• Hyperscalers and emerging neocloud providers are competing to secure capacity needed to support next-generation AI workloads.
• Power availability, advanced cooling technologies, and network connectivity have become critical factors in AI infrastructure planning and deployment.
• Enterprise AI growth is increasingly dependent on scalable infrastructure capable of supporting high-density computing and low-latency data movement.

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