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OpenAI’s State of Enterprise AI Report 2025: Key Stats and Top Considerations for Marketers | Brafton

    OpenAI just released its State of Enterprise AI report for 2025, and with the year coming to a close, it’s a great time to check in on the ways generative AI — ChatGPT specifically — has helped enterprise organizations save time, money and headache, but also what’s still challenging us nearly 3 years along.

    Here, we’re picking apart the report to showcase some of its most compelling and surprising statistics — along with some quick takes and advice for marketers who might still find themselves unsure where to start.

    Key Findings from The State of Enterprise AI 2025 Report

    These reports are always comprehensive, so here are a few quick key takeaways organized into categories:

    Broad Usage

    • ChatGPT adoption: Aggregate weekly messages from enterprise users grew approximately 8x in the past year, with average workers sending ~30% more messages.
    • API usage: Token consumption per organization went up about 320x year-over-year, showing more intensive, automated ChatGPT use.
    • Multi-step workflows: More firms are embedding AI into repeatable, multi-step workflows instead of just one-off tasks.

    Industries & Use Cases

    • ChatGPT popularity by sector: Employees in tech, finance and professional services remain among the largest users; however, sectors that were initially slow to adopt — like health care and manufacturing — are now among the fastest growing user bases.

    API Use Cases

    • Top API use cases among usage industries: Coding & dev tools, customer support and agentic workflow automation are top use cases across technology, professional services and finance organizations. Among those three sectors, content & creative generation is only a top use case in professional services.
    • Most monthly active enterprise users aren’t taking full advantage of ChatGPT’s tools: Of monthly active users, 19% have never used data analysis, 14% have never used reasoning and 12% have never used search. Those figures shrink significantly (3%, 1%, 1%) among daily active users.

    Global Growth

    • Global average growth in ChatGPT paying business customers: 143%.
    • Top 5 countries with faster-than-average business customer growth:
      • Australia: 187%.
      • Brazil: 161%.
      • Netherlands: 153%.
      • France: 146%.
      • Canada: 144%.

    The Marketing Takeaways

    This is the part we’re really curious about. I’ve been using ChatGPT as a sidekick to my work since it came out, mostly as a more comprehensive search engine to expedite research for writing projects. It’s just so much better to have AI comb the internet for quality, relevant statistics than to spend hours looking for a primary source that might not even exist. I occasionally use it for rephrasing short bits of copy or gathering topic and angle ideas for blogs.

    For marketers, the standout statistics in the report are few, but they’re interesting and even encouraging if you’re someone who’s still on the fence:

    • Quicker campaigns: 85% of marketing and product ChatGPT users report faster campaign execution.
    • Time saved scales with each distinct task: Users who engage ChatGPT for about seven unique tasks see 5x time saved per week on average compared to those who engage it for just four tasks.

    But what are you supposed to make of these metrics?

    What Should Marketers Do With This Information?

    There’s a lot to digest here, and while most of the report doesn’t pertain specifically to marketing, that doesn’t mean we can’t speculate about the state of things, how AI use will continue to evolve or what marketers should actually do with all of this information.

    At a high level, the data signals that AI is well beyond its experimental phase and has effectively become a core piece of operational infrastructure for many enterprises across many industries. And even though the report isn’t marketing-specific, it highlights several trends that marketers can consider strategic signals to pay more attention to as we approach the calendar flip.

    Before exploring those, though, keep in mind that all of this data pertains to ChatGPT specifically. And while it might be safe to assume that some of these figures could correlate to other, similar text-based generative AI tools, that wasn’t the focus for this particular report.

    ChatGPT Really Does Increase Productivity

    If you were skeptical about whether ChatGPT could actually expedite work, well, it looks like we now have a definitive answer: Yes. Workers attribute an average of 40–60 minutes saved per day, with science, engineering and communications professionals reporting higher-than-average time savings at 60–80 minutes per day.

    For marketers, that means more bandwidth for strategy, creativity, experimentation or finally getting around to that campaign you’ve been wanting to launch.

    Roles Are Becoming More Fluid

    One of the most interesting signals from the report is how AI is reshaping what people can do — not just what they’re supposed to do.

    Non-technical employees can suddenly run analyses, build automation and handle tasks that used to be reserved for trained specialists.

    For marketing teams, this means content folks can dabble in data or analysts can experiment in creative ideation. Walls between roles seem to be getting a little softer. Whether that’s a good or bad thing likely depends on who you ask, but I can’t help but feel that the potential for better, more effective cross-departmental collaboration is huge.

    There Is a Usage Gap Emerging — But Will It Really Get So Big That Laggards Get Left Behind?

    Finally, the report warns of a widening gulf between “frontier firms” — the heavy, habitual AI users — and everyone else. These frontier teams send six times more AI queries on average than the median user, which suggests that they’ve more or less committed to operationalizing AI across their organization. But should marketers panic if they’re not part of that group yet? Probably not. The data suggests that the gap is very real, but I have a hard time believing that just because you don’t have the budget, resources or patience to operationalize AI right now — assuming your business still does right by its brand and audience — that it will fail.

    That said, ignoring AI entirely can carry a cost. Your competitors might be creating content faster, personalizing campaigns more efficiently and testing ideas at a pace impossible to keep up with by traditional means. Does that mean your next campaign has to be ideated by AI? No. But maybe a few small backend tasks could feel good to take off your plate.

    To take it one step further, some marketers have moved beyond marketing with ChatGPT and adopting marketing-specific AI platforms. These are designed to alleviate some of the major concerns with AI content production for marketing purposes, like boring, generic, off-brand or irrelevant content. (Which is precisely why we prefer contentmarketing.ai to ChatGPT for actual content creation).

    Numbers To Chew On In the New Year

    Although marketing wasn’t the main focus of this report, there are lots of great numbers to ponder as we head into the New Year. If you’re an AI laggard, maybe these stats provide a push to get something going behind the scenes. If you’ve already adopted a few AI tools but have been hesitant to really lean in, maybe this is the proof you need to start experimenting a bit more.

    If you’re eager to learn more about the many ways to use ChatGPT at work, here’s some further reading:

    Note: This article was originally published on contentmarketing.ai.



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