OpenAI CFO: AI Cuts Costs 99% on Routine Tasks Like Credit Checks

OpenAI demonstrates dramatic cost savings from internal AI deployment

OpenAI's chief financial officer Sarah Friar disclosed that the company has achieved a 99% cost reduction on routine credit checks by deploying its own AI models internally, according to an interview with CNBC's Jim Cramer on "Mad Money" this week.

Friar said OpenAI's procurement team conducted credit checks at an annual rate of 2,800 last year. By automating the process with AI, the company reduced the cost per check from $200 to approximately 17 cents.

"That is a great ROI for a CFO," Friar told Cramer, as first reported by Business Insider.

Targeting repetitive work, not skilled roles

Friar acknowledged that AI adoption within OpenAI's finance department has reduced headcount needs, but emphasized the technology primarily eliminates what she characterized as undesirable tasks.

"There is no doubt we are doing things with our own products inside of finance, for example, that do limit the number of people we need," Friar said. "But in many cases it's for jobs that I don't think of as great jobs, frankly."

She described credit checks as "pretty mundane" work and questioned whether junior analysts should spend time on such tasks when AI models can handle them with greater scale and accuracy. The automation, she argued, enables employees to focus on work requiring genuine intelligence and judgment.

Why it matters

OpenAI's internal deployment offers concrete data on AI's economic impact beyond theoretical projections. The 99% cost reduction on a specific business process demonstrates the technology's potential to reshape operational economics across industries—particularly for tasks involving structured data analysis and routine decision-making. For finance leaders evaluating AI investments, Friar's example provides a tangible benchmark: dramatic cost savings paired with workforce reallocation rather than simple elimination.

Contrasting views on employment impact

Friar's measured assessment stands in contrast to warnings from other AI leaders about broader job displacement. Anthropic CEO Dario Amodei has predicted AI could eliminate half of entry-level white-collar positions, while Geoffrey Hinton, the Nobel Prize-winning computer scientist known as a "godfather of AI," told Senator Bernie Sanders in November 2025 that such forecasts were "probably right."

Hinton cautioned that while AI still fails at certain tasks, the technology is advancing rapidly. "We're in the very early stages," he said. "This is a new technology. It's getting better very fast."

Friar's comments suggest OpenAI views AI as a tool for eliminating specific repetitive tasks rather than wholesale job categories, at least in the near term. The distinction between automating mundane processes and replacing skilled roles may prove critical as organizations navigate AI adoption strategies.

Details of the interview were first reported by Business Insider.