1 million business customers putting AI to work

# 1 million business customers: the fastest-growing business platform in history Source: [https://openai.com/index/1-million-businesses-putting-ai-to-work/](https://openai.com/index/1-million-businesses-putting-ai-to-work/) OpenAICustomers such as Amgen, Commonwealth Bank, Booking\.com, Cisco, Lowe’s, Morgan Stanley, T\-Mobile, Target, and Thermo Fisher Scientific are already on board—with more joining every week\. Today, we’re announcing that more than**1 million business customers around the world**are directly using OpenAI—the fastest\-growing business platform in history\. This includes all organizations that actively pay OpenAI for business use—either through ChatGPT for Work, or through direct consumption of our models through our developer platform\. We’re proud to work with category leaders in industries like financial services, healthcare, retail, and more, where our technology is making intelligence central to their customer experiences, internal operations, and team\-level workflows\. Our enterprise momentum is fueled in part by consumer adoption\. With more than**800 million weekly users**already familiar with ChatGPT, adoption and ROI within businesses is realized more rapidly—pilots are shorter and rollouts face less friction\. We’re seeing this with the growth of ChatGPT for Work—we now have more than 7 million total ChatGPT for Work seats \(up 40% in just[2 months⁠\(opens in a new window\)](https://x.com/bradlightcap/status/1951389149149405618)\)\. ChatGPT Enterprise seats specifically have grown 9x year\-over\-year\. To support this acceleration, we’ve launched a new wave of tools, integrations, and capabilities to help teams move from early use to full\-scale deployment: - We introduced[**company knowledge**](https://openai.com/index/introducing-company-knowledge/), which lets ChatGPT reason across tools like Slack, SharePoint, Google Drive, GitHub, and more to get answers, do analysis, and take action using a version of GPT‑5 that’s optimized for working with tools and providing citations\. - Adoption for[**Codex**](https://openai.com/index/introducing-codex/), our model for code generation, refactoring, and workflow automation has accelerated quickly—usage is up**10x since August**\. Recently, organizations like**Cisco**have rolled out Codex into their engineering workflows, cutting code review times by**50%**and shrinking project timelines from**weeks to days**\. - We also made enterprise agents practical to build and deploy with[**AgentKit**](https://openai.com/index/introducing-agentkit/), making it possible for teams to go from idea to production in**days instead of months**\. Companies like**Carlyle**are already seeing results: the AgentKit evaluation platform cut development time on Carlyle’s multi\-agent due diligence framework by**over 50%**and improved agent accuracy by**30%**\. - We also advanced our**multimodal models**to enable richer workflows—from the[**Image Generation API**](https://openai.com/index/image-generation-api/)and[**Sora 2**](https://openai.com/index/sora-2/)for visual and video creation to[**gpt\-realtime and Realtime API**](https://openai.com/index/introducing-gpt-realtime/)to build production voice agents\. Teams across every industry can now work across text, images, video, and audio**in one system**\. AI is[delivering real business value⁠\(opens in a new window\)](https://x.com/emollick/status/1983217724714066310)\. According to a[recent Wharton study⁠\(opens in a new window\)](https://ai.wharton.upenn.edu/wp-content/uploads/2025/10/2025-Wharton-GBK-AI-Adoption-Report_Full-Report.pdf),**75% of enterprises report a positive ROI**, and fewer than**5% report a negative return**\. While there are many studies on this topic, this one reflects what we see on the ground today with our customers: when AI is deployed with the right use case and infrastructure, teams see real results\. - [**Indeed**⁠](https://openai.com/index/indeed)is using OpenAI APIs in its Invite to Apply feature to drive a**20% increase in applications and a 13% uplift in downstream success**\. - [**Lowe’s**](https://openai.com/index/lowes/)**empowers all associates in 1,700\+ stores**with expert project guidance through Mylow Companion, an in\-store app built with OpenAI models\. - With OpenAI as the backbone of Fin, their customer service agent,[**Intercom**](https://openai.com/index/intercom/)has accelerated development cycles**from quarters to days**\. - And starting today,[**Databricks**⁠\(opens in a new window\)](https://databricks.com/blog/native-openai-models-now-generally-available-databricks)is bringing OpenAI frontier intelligence to where enterprises’ data already lives—**making it easier to build and run high\-quality agents\.** Beyond internal adoption, we’re seeing a second trend: businesses increasingly want to build with OpenAI too\. Companies are creating new applications and agentic workflows directly on our platform\.**Canva, Figma, Zillow, Spotify,**and others have[plugged their apps](https://openai.com/index/introducing-apps-in-chatgpt/)directly into ChatGPT to meet users where they already are\.**Shopify, Etsy, Walmart, PayPal,**and**Salesforce**are building new shopping experiences through the[**Agentic Commerce Protocol \(ACP\)**](https://openai.com/index/buy-it-in-chatgpt/)in ChatGPT, bringing conversational commerce into the flow of everyday decisions\. We’re deeply grateful to the customers building with us today—and we’re looking forward to what’s next in 2026 and beyond\. There’s a big opportunity to rethink the operating system for work, and we’re excited to build the platform to power it\.