Synopsis : As artificial intelligence drives an unprecedented wave of data center construction across the US, the opportunity is extending far beyond semiconductor manufacturers. Indian engineering and infrastructure companies such as Welspun Corp and DEE Development Engineers are emerging as key beneficiaries by supplying the critical pipelines, cooling systems, and industrial infrastructure needed to support next-generation AI facilities.
AI Boom Creates Opportunities Beyond Chipmakers
The global artificial intelligence revolution is triggering a massive buildout of data centers, creating opportunities across the broader infrastructure ecosystem.
According to industry estimates, global data center capacity could nearly double to around 200,000 MW by 2030 as technology companies invest heavily in AI applications and cloud computing infrastructure.
However, data centers require far more than advanced processors and servers. These facilities consume enormous amounts of electricity while generating significant heat, creating demand for power generation, cooling systems, natural gas infrastructure, and industrial engineering solutions.
As a result, companies supplying pipes, process engineering systems, and energy infrastructure are becoming increasingly important participants in the AI value chain.
Welspun Corp: Supplying Pipelines To America’s AI Power Network
One of the biggest beneficiaries of this trend is Welspun Corp, one of the world's leading line pipe manufacturers.
The company commands an estimated 33-35% share of the US line pipe market and is among the top three global manufacturers of line pipes used in oil and gas transportation.
Why AI Data Centers Need More Pipelines
As data centers demand reliable power, developers are increasingly pairing them with dedicated gas-fired power plants rather than relying solely on traditional power grids.
These facilities require extensive natural gas transportation infrastructure, creating demand for large-diameter pipelines.
Welspun supplies the specialized pipes needed to connect natural gas networks with AI-powered data center clusters across North America.
Management believes the United States could witness the development of more than 5,000 data centers over the next several years, supporting a multi-year pipeline construction cycle.
Strong Order Visibility Through FY28
The growing demand has resulted in Welspun's US spiral mill being fully booked through FY28.
According to management, virtually all of the company's US pipe production is currently directed toward natural gas infrastructure supporting AI data centers and LNG export projects.
To capitalize on rising demand, Welspun is expanding capacity through new manufacturing facilities, including a High-Frequency Induction Welding (HFIW) plant and a large-diameter LSAW facility.
Financial Performance Remains Strong
Welspun delivered robust FY26 results:
- Revenue grew 20% to ₹16,770 crore
- EBITDA rose 28% to ₹2,371 crore
- Adjusted net profit increased 42% to ₹1,613 crore
- Order book reached a record ₹25,350 crore
The company has guided for revenue of ₹20,000 crore and EBITDA of ₹2,850 crore in FY27.
DEE Development Engineers: Building The Cooling Backbone Of AI Data Centers
Another company positioning itself for the AI infrastructure opportunity is DEE Development Engineers (DDEL).
The company specializes in process piping, heavy engineering, industrial fabrication, and modular engineering solutions serving industries such as power, oil & gas, petrochemicals, and infrastructure.
DEE is India's largest process piping solutions provider by installed capacity.
Data Centers Need Extensive Cooling Infrastructure
Modern AI data centers generate enormous heat and require sophisticated cooling systems to maintain operational efficiency.
DEE supplies specialized piping systems used in chillers, cooling networks, and thermal management infrastructure within data centers.
According to management estimates, every 25 MW of data center capacity requires approximately ₹25 crore worth of specialized piping infrastructure.
As global data center capacity expands rapidly, this creates a substantial addressable market for DEE's products and services.
Gas Turbine Opportunity Adds Another Growth Driver
Beyond cooling infrastructure, DEE is also benefiting from rising demand for gas-fired power generation equipment.
Major global manufacturers such as GE, Siemens, and Mitsubishi continue to face significant order backlogs for gas turbines.
DEE's Thailand facility supplies specialized piping solutions for Heat Recovery Steam Generator (HRSG) systems used alongside these turbines.
The company has already reserved approximately 60% of its Thailand facility capacity for a major international customer while maintaining flexibility to serve other global OEMs.
FY26 Performance Highlights
DEE Development Engineers reported strong growth during FY26:
- Revenue increased 38% to ₹1,142 crore
- EBITDA grew 53% to ₹189 crore
- Net profit surged 77% to ₹77 crore
- Order book stood at ₹2,434 crore
Management expects new order inflows exceeding ₹2,000 crore during FY27 and has set a revenue target of ₹1,500 crore.
Key Risks Investors Should Monitor
Despite the strong opportunity, investors should remain aware of several risks:
- Slowdown in AI-related capital expenditure
- Volatility in steel and alloy prices
- Supply-chain disruptions
- Delays in capacity utilization
- Project execution risks
- Higher leverage levels, particularly for DEE Development Engineers
Conclusion
The AI infrastructure boom is creating investment opportunities far beyond semiconductor companies.
While Welspun Corp is supplying the pipelines needed to fuel gas-powered AI data centers, DEE Development Engineers is targeting cooling systems and power-generation infrastructure that support these facilities.
Both companies are witnessing strong order visibility and growing participation in the AI ecosystem. However, future returns will likely depend on execution, capacity utilization, and the ability to convert rising demand into sustainable profitability rather than AI-driven optimism alone.

.jpg)
