OpenAI Faces Revenue Pressure as Customers Bank Expands AI Partnership to Speed Loans and Onboarding

OpenAI is facing fresh scrutiny over its growth targets and spending plans, even as the company continues to sign new enterprise partnerships that show how quickly artificial intelligence is moving into mainstream business operations.

Two separate developments published this week highlight the contrast. A report said OpenAI missed internal revenue and user goals, raising questions about the cost of its aggressive expansion. At the same time, Customers Bank announced a multiyear partnership with OpenAI aimed at automating lending, onboarding and other banking workflows.

Together, the updates reflect both the enormous demand for AI tools and the financial pressure involved in building them at scale.

According to a report cited by The Wall Street Journal, OpenAI did not meet an internal goal of reaching one billion weekly active users for ChatGPT by the end of 2025. The report also said the company missed multiple monthly revenue targets earlier this year.

The reported shortfall has drawn attention because OpenAI has rapidly expanded its infrastructure commitments while competition in the AI market continues to intensify.

ChatGPT remains one of the most widely recognized consumer AI products in the world, but maintaining momentum at global scale is becoming more difficult as rivals release stronger and more specialized models.

The report said OpenAI Chief Financial Officer Sarah Friar told company leaders she was concerned future data center obligations could become difficult to sustain if revenue growth slows.

That concern is especially notable because OpenAI has committed enormous resources to computing infrastructure. Building and operating advanced AI systems requires large scale spending on chips, cloud services, networking and energy intensive data centers.

OpenAI’s board was also reportedly reviewing recent infrastructure deals and examining whether the company should continue securing additional computing power at the same pace.

These concerns arrive at a time when OpenAI is widely expected to move toward a future public offering, making business discipline and predictable growth increasingly important.

OpenAI helped define the generative AI boom, but the market is no longer a one company race.

Rivals including Google and Anthropic have launched advanced models that many analysts see as increasingly competitive in reasoning, coding and enterprise tasks.

That shift means OpenAI must continue investing heavily just to defend market leadership, while also proving it can convert popularity into durable revenue.

For investors and industry watchers, the central question is no longer whether AI demand exists. It is whether leading companies can turn that demand into profitable long term businesses.

While OpenAI manages growth pressure, one of its newest customers is making a bold public statement about how deeply it plans to use AI.

Customers Bank Chief Executive Sam Sidhu surprised analysts during the bank’s quarterly earnings call when he revealed that the prepared remarks they had heard were spoken by an AI generated clone of his voice.

Sidhu later said it may have been the first time a public company used an AI clone during an earnings call.

The moment was symbolic. It showed how companies are moving beyond experimenting with AI chatbots and into using AI systems in executive communications and daily operations.

Customers Bank said it signed a multiyear agreement with OpenAI under which engineers from the AI company will work directly with the bank to automate core processes.

The first focus areas include lending and onboarding new customers, two functions that often require large amounts of manual review, documentation and back and forth communication.

Sidhu said completing a commercial loan currently takes between 30 and 45 days. With AI driven systems, he believes that timeline could fall to around seven days.

Opening accounts for complex business customers, which can now take more than a full day, could be reduced to under 20 minutes through conversational AI tools and automated document handling.

Sidhu described autonomous AI agents as a new kind of workforce that can operate continuously.

That concept is becoming increasingly common across industries. Instead of using AI only to answer questions or generate text, companies now want AI systems that can complete multi step business tasks with minimal supervision.

In banking, that could include reviewing documents, gathering compliance materials, preparing forms, coordinating customer requests and tracking loan progress.

For smaller financial institutions, faster adoption may offer a chance to compete more effectively with much larger rivals.

Customers Bank said it expects the partnership to improve its efficiency ratio from around 49 percent into the low 40s over time. The bank expects stronger returns beginning next year, with larger gains projected from 2027 onward.

The company also said AI is already being used internally to write around half of its software code. According to Sidhu, that has saved roughly 28,000 work hours so far, equivalent to avoiding the need to hire around 15 full time workers.

Those numbers help explain why banks, insurers and enterprise firms are moving quickly to adopt AI tools despite concerns around regulation and reliability.

The two developments capture the current state of artificial intelligence more clearly than almost any headline could.

On one side, AI leaders like OpenAI are under pressure to justify enormous infrastructure spending while meeting ambitious user and revenue expectations.

On the other side, customers are actively deploying AI to cut costs, move faster and reshape how traditional industries operate.

That means the next phase of the AI race may be defined less by flashy demos and more by measurable business outcomes.

OpenAI still holds a powerful position in the market through ChatGPT, developer tools and growing enterprise adoption. But scale alone may no longer be enough.

The company will need to show that it can balance innovation with financial discipline, expand recurring revenue and maintain a lead in a more crowded field.

Meanwhile, partnerships like the one with Customers Bank suggest OpenAI’s long term value may depend as much on enterprise transformation as consumer subscriptions.

The AI boom is entering a more mature stage. Growth is still strong, but investors and customers now want results, efficiency and proof that the technology can deliver lasting returns.