Building AI's Foundation: Tech Tackles Data Center Construction Boom

SAN FRANCISCO, CA – June 01, 2026 – As the global race to build the physical backbone for artificial intelligence intensifies, the construction industry is grappling with unprecedented pressure. Amid this surge, San Francisco-based OpenSpace has emerged as a critical enabler, announcing it has surpassed 1,000 data center projects worldwide using its visual intelligence platform. With 500 of those complex builds leveraging the technology in the last year alone, the milestone signals a pivotal shift in how the factories of the AI era are being constructed.

Leading general contractors, including Suffolk and Sweet Projects, are deploying the platform on massive hyperscale and AI infrastructure projects across the U.S., Europe, the Middle East, and Asia. This rapid adoption highlights a critical need for new tools to manage the immense complexity and risk associated with building the world's most advanced computational facilities on brutally tight timelines.

The Trillion-Dollar Race to Build for AI

The demand for AI is the single most powerful catalyst for new data center construction in decades. The global data center construction market, valued at over $240 billion in 2026, is on a steep upward trajectory, with some projections estimating it will exceed $660 billion by 2033. This growth is driven by hyperscalers and enterprises racing to deploy generative AI, which requires facilities with immense power density and advanced liquid cooling systems far beyond traditional data center designs.

Industry analysts estimate that the sector will require a staggering $3 trillion in investment to add 100 gigawatts of new power capacity by 2030. However, this building boom is fraught with challenges. Power availability is the primary bottleneck globally, with grid connection wait times stretching for years. Construction costs have soared, with AI-optimized facilities costing upwards of $20 million per megawatt to build, and project delays are rampant. In this high-stakes environment, a single misstep can lead to millions in cost overruns and push schedules back by months.

“Data center construction is pushing the limits of speed and complexity, and the industry can't afford blind spots,” said Jeevan Kalanithi, CEO and co-founder of OpenSpace, in a recent announcement. “Traditional tools capture intent, but often fail to reflect reality, and on a data center build, that gap is where schedules slip and costs spiral.”

Beyond the Blueprint: How Spatial AI De-Risks Construction

OpenSpace addresses this gap between intent and reality with its Visual Intelligence Platform. The system uses off-the-shelf 360° cameras mounted on hardhats, smartphones, and drones to capture a complete visual record of a jobsite. This raw imagery is then processed by the company’s proprietary “Spatial AI,” which automatically maps every photo to its precise location on project floor plans, drawings, and 3D Building Information Models (BIM).

The result is a time-stamped, searchable, and spatially-indexed digital twin of the construction site, accessible to any stakeholder, anywhere in the world. Project managers can virtually walk the site, verify completed work, inspect quality, and coordinate trades without leaving their office. This real-time visibility allows teams to detect clashes, deviations from design, and installation errors almost as soon as they happen, rather than weeks or months later when they become expensive to fix.

The impact is measurable. According to OpenSpace, projects using its platform have seen 41% fewer claims, a five-fold increase in the number of quality issues captured and resolved early, and a ten-fold acceleration in documentation speed, with an average payback period on the technology of just five weeks.

This capability was put to the test on a recent data center project in Longcross, U.K., delivered by Sweet Projects. “On our Longcross project, OpenSpace gave us a clear, tamper‑proof record of what was happening on‑site at every stage,” noted Andrew Moss, Project Director at Sweet Projects. “That visibility helped us stay on schedule and, in one case, unequivocally defend our position and avoid what could have become a dispute.”

Setting a New Standard for Mission-Critical Builds

The rapid adoption of this technology is establishing a new standard for transparency and accountability in one of the world's most critical infrastructure sectors. The comparison to a previous industrial revolution is becoming common among industry insiders.

“The Industrial Revolution transformed the world through factories and mechanical power. Today, data centers are becoming the factories of the AI era,” explained Will Synnott, Director of Sales for Major Projects at OpenSpace. “As these projects scale in complexity, trusted progress data is becoming essential for maintaining a reliable picture of project reality.”

While numerous construction tech companies offer solutions for project management, OpenSpace has carved out a leadership position by focusing on the unique demands of complex, fast-track projects like data centers. Its technology competes in a landscape with other visual documentation platforms like StructionSite and Reconstruct, but its significant penetration in the mission-critical sector suggests its approach is resonating with builders facing the highest levels of risk and complexity.

Constructing the Future with Data-Driven Certainty

The move toward comprehensive visual documentation is part of a larger digital transformation sweeping the construction industry. The data captured by platforms like OpenSpace serves as a foundational layer for more advanced technologies, including the creation of dynamic, “as-built” digital twins that can be used for facility management long after construction is complete.

By providing a detailed, objective, and easily accessible record of reality, visual intelligence platforms are bridging the gap between the digital model and the physical world. This stream of real-time data allows for more accurate progress forecasting, better resource allocation, and a continuous feedback loop that improves decision-making at every stage of a project’s lifecycle. As construction becomes increasingly data-driven, having a clear, indisputable view of what is happening on the ground is no longer a luxury, but a fundamental requirement for delivering the complex infrastructure that will power the next generation of technology.