OpenAI CFO Sarah Friar warns of funding risks as ChatGPT misses 1 billion user target

OpenAI's Chief Financial Officer, Sarah Friar, has raised serious concerns about the company's financial sustainability, warning that it may struggle to fund ambitious data center contracts without achieving explosive user growth. According to a Wall Street Journal report highlighted by ZTO-SA, OpenAI targeted one billion weekly active users for its ChatGPT model by 2025 but has fallen short, hovering below 900 million to date. This shortfall threatens the firm's ability to cover escalating infrastructure costs in the hyper-competitive AI sector.

The warning underscores the immense financial pressures facing OpenAI as it races to scale operations amid skyrocketing demand for AI computing power. Data centers, essential for training and running advanced models, require billions in upfront investment, and Friar reportedly emphasized the need for rapid revenue acceleration to secure those commitments. For a company that has pioneered generative AI with tools like ChatGPT, this signals potential vulnerabilities despite its market dominance and recent innovations, such as the launch of advanced models like o3 and o4-mini, which show improved performance in complex tasks.

Adding to the competitive heat, rival AI firm Anthropic has surged ahead in valuation, reaching one trillion dollars on private secondary markets like Forge Global, as reported by ZTO-SA. This milestone coincides with massive investment deals: $40 billion from Google and $25 billion from Amazon. Anthropic's reported annual recurring revenue of around $30 billion—up sharply from $10 billion earlier—contrasts with OpenAI's growth hurdles, highlighting how competitors are capitalizing on enterprise adoption and partnerships to fuel expansion.

OpenAI remains a leader in enterprise AI, with its own data showing widespread productivity gains: workers across surveyed companies report saving 40-60 minutes daily, faster code delivery for engineers, and quicker IT resolutions. Recent benchmarks, like the FrontierScience evaluation, position OpenAI models as top performers in scientific reasoning, even as the company continues releasing features every few days. However, Friar's concerns point to ongoing operational losses driven by high spending on model training and infrastructure, even amid valuations that have climbed to around $500 billion in secondary share sales.

Investors and the tech industry are watching closely, as OpenAI's trajectory could influence the broader AI ecosystem. Failure to hit user milestones might force belt-tightening or new funding rounds, while competitors like Anthropic demonstrate how revenue momentum can unlock trillion-dollar potential. Stakeholders—from employees and users to global enterprises relying on OpenAI's tools—face uncertainty about what happens next, whether through accelerated product rollouts, cost optimizations, or strategic pivots to match rivals' pace. The AI arms race shows no signs of slowing, with implications for innovation, jobs, and economic growth worldwide.