Renewal season is here. For most marketing teams, the fourth quarter is when software contracts roll over, 2027 budgets get locked, and someone proposes adding another AI product to the stack. Before anyone signs, look hard at what you already pay for and do not use.
Dentsu Creative's 2026 CMO report, a survey of 1,950 senior marketing decision makers across 14 markets released last week, puts the tension plainly. Seventy-one percent say AI is improving speed to market. Seventy percent say they have not yet seen major cost efficiencies. And 74% are considering replacing some of the tools they currently pay for. adobo Magazine's summary of the launch frames the shift in one line: from possibilities to proof.
That gap is not a failure of AI. It is a stack problem.
You already own more than you use
Gartner's most recent Marketing Technology Survey found teams actively use about 49% of the capability in their marketing technology stack, and only 15% of organizations qualify as high performers that meet strategic goals and show a positive return. Gartner puts martech at nearly 22% of total marketing spend. A meaningful share of the marketing budget is paying for capability nobody touches.
Adding AI on top does not fix that. Gartner's Q3 2026 CMO Report finds only 34% of senior marketing leaders are seeing the returns they expected from AI investments, and about 70% of CMOs describe their internal AI processes as immature. The World Federation of Advertisers' State of AI in Marketing 2026 shows the same pattern at the largest brands: 96% now use generative or agentic AI, 63% rank scaling it among their top three priorities, and 45% name technology integration and interoperability as a barrier.
The integration is the product
New AI tools promise speed. The return shows up only when a tool is connected to clean data, a real workflow, and a person who owns the result. Every new tool that sits beside the old ones adds another login, another copy of the customer data, and another dashboard that disagrees with the CRM. Spend goes up. The decisions do not get easier.
The move is to treat consolidation as the funding source for AI, not as a separate cleanup project someone gets to next year.
A renewal-season audit
Before any 2027 renewal or new AI contract:
- List every tool and its owner. If no one can name the person accountable for a tool's results, it is a candidate to cut.
- Compare cost to actual use. Seats assigned versus seats active in the last 90 days, and features paid for versus features running in a live workflow.
- Map each tool to a decision. Name the revenue, pipeline, or customer decision it informs. A tool that informs none is overhead.
- Find the overlaps. Two tools that send email, score leads, or report attribution means one of them is optional.
- Move the savings to integration. Data connections, workflow redesign, and training are what make the remaining stack, including AI, pay off.
Three questions for the budget review
- What share of our marketing software spend went to tools with fewer than half their seats active last quarter?
- Which AI tool we bought this year can we tie to a revenue or pipeline number, not just hours saved?
- If we cut our three least-used tools tomorrow, which workflow would break, and who would notice?
If those questions take more than a week to answer, the stack is running the team instead of the other way around.
This week
Pull the renewal calendar for the next two quarters. Flag every contract with low usage or no named owner. Make retiring one of them the condition for approving any new AI purchase. Spend the difference on connecting what stays.
Buy less. Connect more. Then decide what AI should add.
