Fifty-four percent of CIOs say they are actively consolidating their AI vendor portfolios right now, with cuts already underway. Another 68 percent of technology leaders say they will reduce their AI vendor count over the next twelve months. Only three percent expect to add more.
The average enterprise today runs somewhere between 8 and 15 AI vendors. Some reports put the number above 20. Content generation, customer support, sales forecasting, and internal search can each have a separate vendor. Where departments buy independently, the consolidation review needs to establish who owns each contract and which integrations the business depends on.
Give the stack a strategy
Consolidation is happening alongside growing AI investment. AI budgets are growing 3 to 5 times over what they were in 2023. The money is going up while the number of tools it buys is going down. Leaders need to examine what each vendor contributes as well as what it costs.
PwC’s 29th Global CEO Survey found that only 12 percent of CEOs report AI delivered both revenue growth and cost reductions. Fifty-six percent say they have seen no significant financial benefit from AI at all. Those findings give companies that bought and deployed AI a reason to inspect what their dashboards and software bills represent.
An added tool may require another integration, a new data transfer, or a separate vendor contract. Include those obligations when measuring its contribution.
Account for integration and review costs
For each vendor, document the job its tool performs and the measure used to judge that work. A smaller stack is useful only if it still covers the required work and controls.
Multiple 2026 reports describe a consolidation target of roughly three to five strategic platforms. Conversational AI, code, retrieval, and workflow orchestration are possible groupings; a regulated domain may need a specialized tool. Treat that range as a planning suggestion. The right count depends on the work and the controls each platform supports.
Consolidation should account for integration, training, and governance costs. A comparison between a team using three tools and one using twelve needs evidence about outcomes, workload, and total operating cost. Tool count alone cannot establish which team performs better.
Gartner predicted that over 40 percent of agentic AI projects will be canceled by the end of 2027. The top reasons: escalating costs, unclear business value, and inadequate risk controls. Those problems require decisions about complexity, ownership, and measurement alongside technical work. Check how a proposed tool changes those responsibilities before adding it.
Ask the strategy question before buying
Review purchases made in 2023 and 2024 against the problem they were intended to solve. A pilot that began with a department demo may now duplicate another team’s subscription. Keep the useful capability, identify dependencies, and give the renewal decision to a named owner.
Define success for the tools already in use. Then evaluate a proposed purchase against a documented gap, including the cost of changing integrations and training the people who will use it.
Start with a subscription your team uses
If you are reviewing more than five AI tools, begin with one your team uses frequently. Define its intended contribution and measure it for 30 days. Include time spent checking output and maintaining connections to other systems.
Use that record at renewal: retain it, change how it is used, or retire it with a plan for its dependencies. Repeat the review for the remaining subscriptions. This gives the consolidation decision something more useful than a target vendor count.