In a detailed post on X on Thursday, OpenAI CEO Sam Altman revealed that the company expects to surpass $20 billion in annualized revenue run rate by the end of 2025, with ambitions to grow into the hundreds of billions by 2030. He also disclosed that OpenAI has secured commitments totaling approximately $1.4 trillion in data center investments over the next eight years. The announcement comes amid a recent wave of scrutiny following comments from OpenAI’s CFO, which were later retracted, about potential government-backed loans. Altman’s post served to clarify the company’s financial trajectory and long-term strategy. He highlighted several new business avenues that could drive future growth. Among them is an upcoming enterprise offering, which follows OpenAI’s recent claim of having a million business customers. The company is also expanding into consumer devices and robotics, underscored by its May acquisition of Jony Ive’s startup io, reportedly in development of a palm-sized AI device. Altman also pointed to scientific discovery as a key future frontier. Though details remain limited, this aligns with the launch of OpenAI for Science, a project previously mentioned by VP Kevin Weil, aimed at accelerating research through AI tools. Perhaps the most ambitious vision shared by Altman is OpenAI’s potential entry into the cloud computing market. “We are also looking at ways to more directly sell compute capacity to other companies (and people); we are pretty sure the world is going to need a lot of ‘AI cloud’, and we are excited to offer this,” he wrote. This marks a significant shift for a company that currently relies on third-party infrastructure and has not yet built its own global data center network. To fund its massive expansion, Altman acknowledged that OpenAI may pursue additional equity sales or take on more debt, including exploring new financing models. The company’s relentless pursuit of data center deals—frequent and multi-billion-dollar in scale—demonstrates its commitment to securing the infrastructure needed to support its growing AI ambitions.