OpenAI CFO Sarah Friar Dismisses Growth Target Concerns, Citing Surging Enterprise Demand

OpenAI's Chief Financial Officer Sarah Friar has dismissed concerns about the company missing its internal growth targets, emphasizing a "vertical wall of demand" for its AI products and strong momentum in its enterprise business. Speaking amid reports of shortfalls, Friar insisted that OpenAI is meeting its core objectives, with enterprise adoption accelerating rapidly.

The reassurance comes as a recent report highlighted potential misses on ambitious goals, including a target to reach 1 billion weekly active users by the end of 2025. According to Bloomberg, these concerns had fueled skepticism about OpenAI's trajectory, even as the broader AI sector sees record investments. Friar pushed back directly, as reported by the outlet, framing the company's position as one of overwhelming customer interest rather than underperformance.

This optimism aligns with OpenAI's broader financial projections. The company behind ChatGPT anticipates ending 2025 with an annualized revenue run rate exceeding $20 billion, including roughly $5 billion in the fourth quarter alone, according to analysis from Carnegie Investment. CEO Sam Altman has forecasted even more explosive growth, predicting revenues in the hundreds of billions by 2030. If growth sustains at a 100% annual rate, projections suggest OpenAI could hit $535 billion by 2030 and $2 trillion by 2032.

The enterprise segment stands out as a key driver. Friar described it as "accelerating," signaling robust demand from businesses integrating OpenAI's tools like advanced language models into operations. This push matters for OpenAI, which faces massive spending commitments estimated at $1.4 trillion long-term, primarily on computing infrastructure to fuel AI development. Strong enterprise revenue helps offset these costs and validates the model's shift from consumer hype to practical, high-value applications.

Investors and analysts are watching closely, given OpenAI's sky-high valuation of around $852 billion. Missing user growth targets could pressure that figure, but Friar's comments suggest internal metrics—likely focused on revenue and enterprise deals—remain on track. The company's ability to convert demand into sustained profits will determine its dominance in a fiercely competitive AI landscape.

What happens next remains tied to execution. OpenAI must scale its infrastructure while navigating regulatory scrutiny and competition from rivals like Google and Anthropic. For businesses and users relying on its tech, the "wall of demand" signals reliable innovation ahead, but sustained enterprise acceleration will be the true test of long-term viability.