CMO AI skills expose a gap in organizational readiness

CMO AI skills are becoming a broader leadership requirement, but hiring a leader with those skills does not establish that the organization can use new technology effectively. Recent figures point to different questions about executive capabilities, company readiness and planned investment. Each needs its own evidence before marketers treat AI adoption as a business result.

What is changing in the requirements for a new CMO?

Newly appointed marketing chiefs are more likely to have AI-related skills than longer-serving peers, according to research summarized by Marketing Dive on October 30, 2026. The report, citing Findem and CMO Huddles, put the share at 26% for CMOs hired this year and 9% for those who had held the role for four years or more.

Those figures describe the composition of two groups. They do not show that AI expertise alone produces stronger results or a longer tenure. The article also described the growth of positions combining marketing with other functions, including sales. For a business recruiting a marketing leader, the practical question is therefore both what that person can do with AI and which commercial decisions the role will own.

Is the organization ready to adopt the technology?

Executive interest is different from company-wide execution. Only 11% of CMOs rated their organizations as excellent at adopting and innovating with new marketing technologies, according to the Lippincott and Bloomberg Media CMO Outlook 2026 report cited in the October 30 article. Difficulties accessing or integrating company-wide data, alongside limited capacity and speed for experimentation, were identified as obstacles.

At the same time, 65% of CMOs considered marketing's adoption of new technology better or significantly better than the rest of their company. That is a relative assessment of departments, rather than proof that the business is fully prepared. A team can produce creative work faster while still struggling to connect information across departments or establish a reliable review process.

What does planned AI investment tell marketers?

It indicates intent, rather than demonstrated value. Marketing Dive's October 30, 2026 report cited Kantar research showing that 75% of senior marketing leaders planned to increase investment in AI assistants over the following year. It also reported that 23% of consumers trusted AI recommendations. These percentages answer different questions and should not be subtracted to create a performance gap.

Budget pressure adds another consideration. The article cited Gartner findings that 56% of CMOs did not believe their organizations had enough budget to execute their 2026 strategies. Under that constraint, a proposal to expand AI spending should specify which task will improve and how the improvement will be measured. Expected savings alone are an incomplete basis for reducing specialist capacity or removing human review.

Takeaways for marketers

Best Partner interprets these findings as a reason to clarify responsibilities before scaling tools. They are not a scorecard proving that a particular level of AI spending will succeed. A useful working review can follow this sequence:

1. Assess an executive's AI experience through decisions and workflows they changed, rather than a list of tools they have tried.
2. Identify where access permissions, data integration or handoffs prevent the team from running a useful experiment.
3. Record processing time, spending and review revisions before and after a workflow change under comparable conditions.
4. Review short-term production gains alongside brand trust and the development of future marketing talent.

These are practical recommendations derived from the reported gaps, not outcomes established by the studies. When working with an outside team, use the Services overview to define the tasks being delegated and the decisions that remain with the business.

Source: Marketing Dive, The changing CMO role in 3 numbers, published October 30, 2026.