> ## Content Index > Fetch the complete content index at: https://www.cmoalliance.com/llms.txt > Use this file to discover other available public pages before exploring further. # How CMOs can improve AI implementation - URL: https://www.cmoalliance.com/how-cmos-can-improve-ai-implementation/ - Published: 2025-09-10T07:51:38.000Z - Updated: 2025-09-10T07:51:38.000Z - Description: Only 17% of marketers have successfully implement AI fully. That’s a massive gap that points to just how difficult AI is for marketers to get right. - Author: Andrea Fryrear - Tags: AI & Automation, Articles For the vast majority of CMOs, the pressure to get their [marketing teams](https://www.cmoalliance.com/what-does-a-marketing-operations-team-structure-look-like/) to integrate AI into their processes is immense. It’s no wonder the latest [State of Agile Marketing (SOAM) Report](https://www.agilesherpas.com/state-of-agile-marketing-report) from AgileSherpas found that 93% of marketers were at least considering AI integration. The writing is on the wall: AI is a vital tool for remaining [competitive](https://www.cmoalliance.com/turning-marops-planning-into-your-competitive-advantage/). However, despite all that pressure, only 17% have managed to successfully [implement AI](https://www.cmoalliance.com/4-pillars-of-ai-implementation-cmos-guide/) fully. That’s a massive gap that points to just how difficult AI is for marketers to get right. From senior leaders down to everyday marketers, people are struggling to harness the capabilities of marketing AI and translate it into real [ROI](https://www.cmoalliance.com/how-influencer-marketing-can-be-a-revenue-driver-video/). Fortunately, this report offers data-driven insights into what types of marketers are far ahead of their competitors on AI and what’s driving their success. ## **The immense impact of AI integration in marketing** First, it’s worth looking a bit closer at the impact full AI integration has on marketing. Here, the SOAM data told a clear story. ![](https://storage.ghost.io/c/ff/09/ff09ec2c-5937-45c2-bd7e-bcc809b43924/content/images/2025/09/data-src-image-6a6e444c-34d2-43d6-8a98-ee70e0f9f003.png) The more successful marketers were, the more likely they were to have fully [integrated AI](https://www.cmoalliance.com/artificial-intelligence-in-marketing-boosting-efficiency-and-creativity/) into their processes. In fact, those not considering AI at all were by far the most likely to be “hardly successful.” It’s not difficult to understand why this might be the case. AI can [automate processes](https://www.cmoalliance.com/ways-to-increase-revenue-marketing-automation/), enhance productivity, and enable single marketers to accomplish far more than before. But getting to that point takes time, effort, and resources. Marketers and their teams need to experiment, iterate, and take the time to figure out what [tools](https://www.cmoalliance.com/best-ai-powered-marketing-attribution-tools/) and use cases really move the needle for them. ## **One type of marketer is ahead on AI** If mentions of experimentation and iteration brought [agile](https://www.cmoalliance.com/your-guide-to-agile-marketing/) to mind, that’s no coincidence. The SOAM report found that fully agile marketers were far more likely to successfully implement AI compared to their less or non-agile peers. In fact, despite surveying hundreds of marketers, the survey was unable to find a single non-agile marketer who had found [AI success](https://www.cmoalliance.com/how-ai-is-reshaping-search-in-2025/). ![](https://storage.ghost.io/c/ff/09/ff09ec2c-5937-45c2-bd7e-bcc809b43924/content/images/2025/09/data-src-image-6ca9ed9e-fd74-4852-8a74-3eb528dcef41.png) Beyond the fact that agility aids in AI implementation, the [relationship](https://www.cmoalliance.com/ways-ai-can-help-you-build-stronger-connections-with-your-customers/) between the two is more symbiotic. Two thirds of fully agile teams reported that AI significantly enhanced their agility. Overall then, if fully agile marketers alone are more than 3x as likely to fully integrate AI into their work compared to somewhat agile marketers, what explains the difference? ## **What makes agile marketers adept at AI?** ### **Autonomy** Agile marketers tend to have far more autonomy compared to their non-agile counterparts. The survey found that 82% of extremely successful marketers reported having such autonomy. When AI implementation comes in the form of a mandate telling teams what tools to use and how, outcomes suffer. With so many AI tools and use cases out there, it’s essential that teams have the opportunity to explore for themselves. ### **Experimentation** It’s extremely unlikely even the best marketing team is going to nail AI implementation on the first try. [Experimentation and iteration](https://www.cmoalliance.com/how-cmos-can-keep-up-with-ai-innovations/) are crucial for confirming what works and adapting as AI technology evolves. But the reality is that experimentation doesn’t come easily to all marketers. Agile marketers, by contrast, have a culture built around experimentation, iteration, and continuous improvement. Testing AI comes easily because they're already used to testing new marketing tools. ### **Focus** A common challenge of AI implementation in marketing is simply knowing where to start. There are new tools being released daily and figuring out what to test can feel like trying to drink from a fire hose. But agile marketers excel at prioritization, with 72% of extremely successful marketers reporting they focus on a few high-value activities at a time. That practice of identifying what’s worth testing and what work is going to deliver the most value to stakeholders is immensely helpful when sorting through endless AI options. Trying to test and experiment with too many tools and use cases at once makes it difficult to make reliable [data-driven](https://www.cmoalliance.com/how-you-can-go-from-data-driven-to-data-informed-2/) decisions about what works and what doesn’t. ## **What CMOs can do** The data here tells a clear story: agile ways of working make marketers far better at implementing AI. But how can CMOs act on that information? The SOAM report also surveyed marketers about agile [education and training](https://www.cmoalliance.com/training-skilled-field-marketers/) methods to understand which were most effective at developing those crucial AI-related [skills](https://www.cmoalliance.com/adaptability-resilience-and-the-value-of-diverse-experience/). ![](https://storage.ghost.io/c/ff/09/ff09ec2c-5937-45c2-bd7e-bcc809b43924/content/images/2025/09/data-src-image-5a737911-a3b3-4dfb-af43-c5d4471e3522.png) Certification programs come out as the most valuable, but also carry higher costs. Self-paced [video](https://www.youtube.com/@CMOAlliance/videos) learning is generally more flexible and affordable, and both free and paid options are rated highly by marketers. Overall though, all the educational tools listed, including AI, were generally seen as valuable. So CMOs have plenty of options for targeted training of key leaders or mass training of entire teams or departments. However, CMOs choose to approach agile education, it’s clear that effective AI implementation requires thinking about those basic [skills](https://www.cmoalliance.com/the-ai-revolution-how-gtm-leaders-can-navigate-the-next-1-3-years/) first. Starting with AI misses the fact that basic skills like experimentation are essential foundations for long-term success.