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OpenAI's Small Business Push: ChatGPT Work Hits 10M Users

OpenAI's ChatGPT for Small Business program offers training, AI academies, and agents built for SMBs — as ChatGPT Work reaches 10M users.

Enterprise DNA | | via 9to5Mac
OpenAI's Small Business Push: ChatGPT Work Hits 10M Users

OpenAI moved further into the small business market this week with the launch of its ChatGPT for Small Business program, announced July 21 alongside a milestone: 10 million users on ChatGPT Work and Codex combined.

The program is a deliberate push beyond enterprise buyers and into the far larger market of small businesses, many of which have been sitting on the sidelines of the AI adoption wave due to cost, complexity, or a simple lack of time to figure it out.

What the Program Includes

The ChatGPT for Small Business initiative bundles several components designed to lower the barrier to practical AI use:

  • Virtual training sessions covering how to use ChatGPT Work in everyday business tasks
  • In-person AI academies running across the United States
  • Getting-started guides tailored to small business contexts and roles
  • Access to new agents and partner integrations purpose-built for small business workflows, including accounting, marketing, and e-commerce

ChatGPT Work — the multi-step agentic tool at the center of the program — is powered by GPT-5.6, the same flagship model tier available to enterprise customers. OpenAI’s message is deliberate: small businesses deserve the same technology as Fortune 500 companies, just packaged more accessibly.

The 10 Million User Milestone

The 10 million figure across ChatGPT Work and Codex signals real adoption momentum, not just downloads. ChatGPT Work is the agent-oriented product designed to complete whole tasks end-to-end rather than answer individual questions, and Codex is OpenAI’s coding agent. Reaching 10 million users on both platforms points to a growing portion of OpenAI’s base that wants AI to do work, not just assist with it.

That shift from “AI answers my question” to “AI completes my task” is exactly what enterprise buyers have been chasing for two years. The fact that small businesses are now being explicitly brought into that story changes who the competition in the market is.

What This Means for Business

There are a few things worth reading into this announcement.

AI adoption is shifting from early adopters to the broad market. OpenAI’s decision to build an entire program around small businesses signals that the enterprise market alone is no longer enough. Small businesses represent a massive volume of potential users and a very different purchase pattern, one based on ease of setup, clear ROI in recognizable tasks, and training that doesn’t require an IT department.

The agentic AI race is now a small business race too. Anthropic launched its own small business offering earlier this year. Google has been pushing Gemini for Workspace at SMBs. Microsoft’s Copilot is already embedded in the Office products most small businesses use daily. OpenAI’s move formalizes what was already underway: every major AI lab is now competing for the small business market, not just the enterprise segment.

Training and change management are becoming the product. The fact that OpenAI is running in-person AI academies is telling. It’s not enough to ship a capable model. Businesses need to know what to do with it, which workflows to change first, and how to build the habit of using AI before the ROI shows up. That’s less a software problem and more an education and implementation problem.

10 million users is a floor, not a ceiling. If you assume even modest stickiness from the small business program — where businesses that get trained are far more likely to become paying subscribers — the user base for agentic AI tools is about to get a lot larger.

Where Enterprise DNA Fits

For businesses working through this transition, the “which AI tool” question is only the starting point. The harder questions are: what processes do you change first, how do you train your team without losing productivity, and how do you know it’s actually working?

Enterprise DNA’s advisory and implementation services exist to answer exactly those questions. Whether you’re choosing between platforms, deploying your first agent workflow, or trying to build internal data capability to support AI adoption, these are solvable problems with the right guidance.

If you’re a business owner navigating the AI adoption decision, a discovery call with Enterprise DNA is a practical place to start.

Source

9to5Mac