As artificial intelligence dominates boardroom conversations and government agendas around the world, much of the attention remains focused on software, algorithms and breakthrough applications. However, according to tech billionaire Prateek Suri, Chairman of Maser Group, the future of AI may depend just as much on physical infrastructure as it does on technological innovation. While public discussions often center on what AI can do, Suri believes the more important question is what AI requires in order to function at scale. “Artificial intelligence may be powered by code, but it runs on infrastructure,” he says. “Before countries can participate meaningfully in the AI economy, they must build the foundations that support it.” The observation reflects a growing shift in how investors are viewing the next phase of the digital economy. Suri argues that behind every AI model sits a vast network of data centers, fiber connectivity, power systems and industrial facilities. As demand for computing capacity accelerates, so too does the need for the infrastructure that enables it. Historically, every major technological transformation has relied on physical assets. The industrial revolution was supported by railways and factories. The internet era depended on telecommunications networks and undersea cables. The AI revolution, Suri believes, is following a similar path. Industry analysts increasingly point to energy as one of the defining challenges of the AI age. Advanced computing facilities require significant amounts of electricity, placing pressure on existing power infrastructure in many regions. This has elevated energy security and power generation from traditional utility concerns to strategic economic priorities. Suri argues that the conversation around AI often overlooks these realities. “There is enormous excitement around applications and software,” he notes. “But without reliable electricity, digital connectivity and data infrastructure, even the most advanced technologies cannot achieve their potential.” The growing importance of infrastructure is also creating new opportunities beyond traditional technology hubs. Countries capable of providing stable power, available industrial land and supportive regulatory environments may become attractive destinations for future AI-related investment. This trend could prove particularly significant for emerging markets. While many developing economies may not be at the forefront of AI model development, they can still play an important role in the broader AI ecosystem through investments in data centers, digital infrastructure and energy projects. The implications extend beyond technology. Large-scale infrastructure projects often generate employment, encourage skills development and support wider economic growth. As governments seek to position themselves for the next wave of digital transformation, infrastructure may become a key competitive advantage. For investors, the shift offers a reminder that some of the most valuable opportunities are often found beneath the surface of headline trends. While software companies may capture public attention, the assets enabling the AI economy could prove equally important over the long term. As the race to develop artificial intelligence continues, Suri believes the world’s focus should expand beyond algorithms alone. “The future of AI will not be determined only by who writes the best code,” he says. “It will also be determined by who builds the infrastructure that makes that code possible.” In an era increasingly defined by artificial intelligence, the next great technology story may ultimately be one of construction, energy and connectivity—a reminder that even the most advanced digital revolutions are built on physical foundations.
