San Francisco: OpenAI is preparing to invest heavily in computing infrastructure as demand for artificial intelligence continues to grow worldwide. According to a recent report, the company expects its spending on computing power to reach about 600 billion dollars by 2030.
The projected spending reflects the huge resources needed to train and run advanced AI systems. Large scale models require powerful data centers, high performance chips, and vast amounts of electricity. As more businesses and consumers adopt AI tools, the cost of operating these systems has increased sharply.
Reports indicate that OpenAI’s operating expenses have risen significantly, especially the cost of running AI services for users. These rising costs have also affected profit margins, making efficient infrastructure expansion a major priority for the company.
The investment push comes as OpenAI explores a future public listing that could value the company at up to one trillion dollars. The company is currently seeking large scale funding to support its expansion, with major technology partners and investors expected to participate.
Recent financial projections show rapid growth in OpenAI’s business. Revenue reached about 13 billion dollars in 2025 and could exceed 280 billion dollars by 2030 if adoption continues to accelerate. The company expects both consumer services and enterprise solutions to contribute significantly to future earnings.
To secure enough computing capacity, OpenAI has been expanding partnerships with cloud providers and chip manufacturers. These collaborations are aimed at building new data centers and ensuring access to advanced processors needed for next generation AI systems.
Industry experts note that the cost of building and operating advanced AI is rising across the sector. Energy demand from data centers is increasing, and companies must generate strong revenue growth to justify the scale of infrastructure investments.
OpenAI’s long term strategy signals a broader shift in the technology industry, where computing power, energy supply, and semiconductor access are becoming critical factors in global competition. As AI continues to expand into everyday life, the race to build the infrastructure behind it is expected to intensify.