88% of Companies Say AI Is Delivering Revenue Gains, Nvidia Says
AI is delivering measurable financial gains for businesses, with most companies reporting increased revenue and cost savings, according to AI company Nvidia.
New State of AI reports from Nvidia find that 88% of organizations say artificial intelligence has increased their annual revenue, while 87% report cost reductions. The findings suggest that the technology is no longer confined to pilot projects or isolated use cases. Instead, it is gradually becoming part of the infrastructure that companies rely on to run their businesses.
In terms of adoption, the reports found 64% of companies say they are actively using AI, while 28% are still evaluating potential deployments.
Adoption is strongest in North America, where 70% of companies report using AI, Nvidia said.
The shift reflects a broader transition in the corporate world. For much of the past decade, artificial intelligence was seen as experimental. Today, it is embedded in systems that support decision-making, automate tasks and help companies respond quickly to changing conditions.
The company’s “State of AI” surveys were fielded from August to December 2025, and respondents comprise people who opted in to receive communications from Nvidia “and have invested in or are curious about AI for their business,” per the report.
AI Moves Into Core Business Operations
Companies are deploying AI primarily to improve operational efficiency and workforce productivity, according to the report.
Key operational benefits reported by organizations, per the company, include:
- 53% say AI has improved operational efficiency
- 42% report gains in employee productivity
The impact is especially visible in industries that rely heavily on large volumes of data and complex decision-making. Telecommunications companies report some of the strongest efficiency gains, while financial services institutions say AI is improving both operational performance and workforce productivity.
Nvidia says healthcare and manufacturing organizations also report growing benefits as AI tools are integrated into administrative systems, production planning, and supply chain management. Retailers are seeing similar improvements, particularly in workforce productivity through applications such as demand forecasting and automated customer support.
In practice, these improvements often come from targeted applications that operate inside existing systems, helping employees make faster decisions or automating routine tasks.
Financial Services Sees Early Revenue Gains
While efficiency improvements remain the most common benefit, the report suggests that AI is also beginning to generate measurable revenue growth.
Across industries, per the reports, 30% of organizations say AI has increased annual revenue by more than 10%. Financial services companies appear to be among the sectors seeing the clearest financial impact, as 29% report revenue increases above 10% tied to AI deployments.
Much of that growth is tied to systems that analyze data in real time. Banks and payment companies increasingly use machine learning models for fraud detection, credit underwriting and customer service automation.
AI is also contributing to cost reductions across industries. About 25% of companies say the technology has reduced annual costs by more than 10%, reflecting automation across logistics planning, supply chain management, and inventory forecasting.
The Challenge: Finding AI Experts
Despite the momentum, the report suggests that many organizations are still in the early stages of their AI journey.
Nvidia reported that nearly a third of companies say they remain in pilot or evaluation phases as they determine how to expand deployments across the business. Moving from experimentation to full-scale adoption often requires significant changes to data infrastructure, internal processes, and workforce skills.
Several barriers continue to slow adoption:
- 48% cite data availability, quality, and integration issues
- 38% report shortages of AI experts and data scientists
Research from PYMNTS Intelligence highlights similar dynamics in corporate finance teams. In a recent study examining generative AI adoption among CFOs, nearly three times as many finance leaders now report very positive returns from their AI investments compared with earlier in the year, suggesting growing confidence that the technology can deliver measurable savings and operational improvements.
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