Jacobs is across the ‘ENTIRETY of the ecosystem,’ says CEO

Key Concepts

• Digital Twin: A virtual replica of a physical system (e.g., a data center or water treatment plant) used for simulation, testing, and optimization before physical construction.
• Power-First Data Centers: A design philosophy where the availability and management of power and utility loads dictate the architecture of the data center, rather than the other way around.
• AI Infrastructure: The physical and digital ecosystem required to support high-performance computing, including specialized power, cooling, and water management systems.
• Domain Expertise: Specialized knowledge in utility management (water/power) applied to the high-tech requirements of modern data centers.

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1. Evolution of the Data Center Market

Bob Pragada, CEO of Jacobs, highlights a significant shift in the data center industry over the last three years. Previously, data centers were primarily focused on data storage. Today, the industry is driven by the AI inflection point, which demands vastly higher levels of compute power, complex utility loads, and specialized infrastructure. Jacobs has transitioned from merely building the "four walls" of a facility to managing the entire ecosystem, including the critical power and water requirements necessary to support high-density AI chips.

2. Strategic Partnerships and Methodologies

• NVIDIA Partnership: Jacobs serves as the developer of "Digital Twins" for NVIDIA. As NVIDIA releases new, more powerful chips, these chips require different power and utility loads. Jacobs simulates these requirements within a digital twin environment to create a "record design" for clients, ensuring the physical infrastructure can handle the specific thermal and electrical demands of the hardware.
• Hut 8 Collaboration: Jacobs is part of a team building a data center near Corpus Christi, Texas, for Hut 8. Pragada emphasizes that this is not a "speculative build" but a response to concrete demand from well-known players, utilizing a "power-first" design model.

3. The "Bubble" Argument vs. Market Reality

Pragada addresses concerns that the current AI infrastructure boom is a bubble. He argues that the industry is currently "catching up to demand" rather than building ahead of it. He notes that every time the industry feels it has reached capacity, demand increases further due to the introduction of next-generation chips from companies like NVIDIA and ARM.

4. Diversification and Business Model

Jacobs differentiates itself from traditional engineering firms through its deep domain expertise in utilities (water and power).

• Revenue Composition: The data center ecosystem currently accounts for 10–11% of Jacobs' business. The remainder is comprised of water infrastructure, transportation, and life sciences.
• Life Sciences Growth: The company has seen 80% growth in its life sciences pipeline, working with major global manufacturers.
• Market Positioning: Pragada notes that Jacobs is often miscategorized with other engineering firms that have steady, lower-growth profiles. He asserts that Jacobs is unique because it lacks a direct "public peer" that combines this level of infrastructure expertise with such high growth rates.

5. Notable Quotes

• "We were using digital twin for water treatment in waste water treatment plants; that technology has now transformed to what it is today." — Bob Pragada, on the evolution of their simulation technology.
• "This is not a speculative build... it is revolutionizing how IT compute load [is managed], and I think the CEO of Hut 8 calls it 'power-first' data centers." — Bob Pragada, regarding the Corpus Christi project.
• "If we were building capacity ahead of demand, call that a bubble. We're catching up to demand." — Bob Pragada, refuting the bubble narrative.

6. Synthesis and Conclusion

Jacobs has successfully pivoted from a traditional engineering and utility firm to a critical enabler of the AI revolution. By leveraging its historical expertise in water and power management—and applying advanced simulation tools like Digital Twins—the company has positioned itself as an essential partner for tech giants and AI infrastructure providers. The company’s growth is underpinned by tangible, non-speculative demand, and its ability to integrate complex utility requirements into high-performance computing environments provides a significant competitive moat. As AI hardware continues to evolve, Jacobs remains focused on scaling its physical infrastructure capabilities alongside its long-term technology partners.