In IDC’s Future Enterprise Resiliency and Spending (FERS) Survey 2026, Wave 5, 76% of tech leaders ran AI agent spend over forecast. The video below opens on that number, and it leads to a larger question: who sets the pace in the AI economy once promotional pricing ends?
IDC research points to five priorities that sit on nearly every tech leader’s desk right now: Budgeting and cost control, Rethinking sourcing and vendor ecosystems, Proving value, AI governance and ownership, and IT benchmarking. The video covers each one. This post adds the research behind it and the question to bring to your next budget review.
Every priority comes down to a peer comparison, which is where IDC Quanta for Tech Leaders comes in. It puts IDC research, price benchmarks, and peer positioning inside the AI tools you already use.
1. Budgeting and cost control
AI agent spend is running ahead of forecast, and the promotional pricing that softens the bill expires in early 2027. The FERS 2026, Wave 5 numbers show how widespread that is: 76% of tech leaders ran AI agent spend over forecast, and 63% have a quarter or more of that budget on credits that expire by early 2027.
A bill held down by credits has a step-up scheduled into it, so a plan built on today’s invoice will miss. That puts one question at the top of your next budget review: how much of our AI budget sits on credits that expire, and when?
IDC FERS 2026 tracks the overrun and the share of budget on expiring credits. IDC MaturityScape: AI Cost Management 1.0 shows where your cost management practice sits on a maturity scale. IDC Quanta for Tech Leaders adds price benchmarking and peer comparison. 76% are over budget. Are you?
2. Rethinking sourcing and vendor ecosystems
Prices are up in nearly every category, and many leaders are renegotiating without knowing what a good deal looks like. In FERS 2026, Wave 5 (worldwide, n = 1,585), 41% of tech leaders are renegotiating contracts aggressively in response to price increases in software and services. IDC deal guides show negotiated discounts on the same product ranging from 0 to 70%. One in three worry about lock-in and the inability to move workloads, according to IDC research.
A spread that wide on one product means the benchmark matters at the negotiating table. The question to ask: where does our discount sit against peers on the same product? IDC deal guides answer it with negotiated discount data. IDC Quanta for Tech Leaders delivers price benchmarking inside the tools you use, backed by research that covers 5,000+ technology vendors (IDC press release, October 6, 2026). Discounts on the same product span 0 to 70%. Which end are you on?
IDC Quanta for Tech Leaders helps you understand how your AI costs compare to other organizations like yours. Visit IDC Quanta to learn more.
3. Proving value
Departments report savings while the company loses money. IDC AI Economics research finds that 66% of organizations fund AI in ways that let a department show savings while the company loses money on the same work. Visibility is thin. In the IDC AI Economics survey (August 2026, n = 1,184), 35% of organizations see AI spend appear outside IT or procurement, and 19% have no formal way to see or manage AI costs. Only 9% rate their AI FinOps practice, meaning the practice of tracking and managing what AI costs, as fully mature.
This is where the CFO joins the conversation as the economic buyer, and it helps to answer the CFO’s question first: does our business case hold at post-promotion pricing? The IDC AI Economics and Cost of Ownership Survey and IDC MaturityScape: AI Cost Management 1.0 quantify where AI spend sits and how mature the practice is. IDC Quanta for Tech Leaders brings cost benchmarks and peer positioning into your own workflow, so you can build an enterprise-level view of AI cost that a CFO can verify. Only 9% have a fully mature AI FinOps practice. Where do you stand?
4. AI governance and ownership
AI buying is now a committee decision with split decision rights, according to FERS 2026, Wave 5. When decision rights split, no single leader sees the whole AI cost, and the self-assessments show it: 61% of tech leaders rate their AI cost governance as mature while running over budget (FERS 2026, Wave 5). Self-rated maturity and actual results sit far apart, which is why leaders need an outside reference point for what good governance looks like.
In North America, Chief AI Officers report to the CIO or CTO in most organizations, according to IDC research, so the conversation starts with you. Two questions follow. Who owns AI cost end to end? And mature against whom? IDC MaturityScape Benchmark: AI-Fueled Organization benchmarks governance alongside strategy, people, and technology. IDC Quanta for Tech Leaders gives the CIO, CTO, and Chief AI Officer one shared reference point for peer practice, across the governance themes of ownership, sovereignty, and portability. 61% say mature while running over budget. How would you measure it?
5. IT benchmarking
Every leader is being compared with peers on AI transformation, IT spend, and governance maturity, and most do not know where they stand. IDC MaturityScape Benchmark: AI-Fueled Organization Worldwide, 2026 (n = 1,900) places organizations on a five-stage maturity scale across four dimensions: strategy, people, technology, and governance. 61.3% of organizations are in the two earliest stages, ad hoc and opportunistic. 35.6% sit in the middle stages, repeatable and managed, and 3.1% are optimized.
Each priority above is a peer comparison in disguise. A discount, a governance rating, and a maturity stage mean something only next to the same number at an organization like yours. IDC Quanta for Tech Leaders delivers peer positioning on AI transformation, IT spend, and governance inside the tools you already use. Which stage is your organization in, and which dimension is holding it back? 61.3% are still near the start. Where do you stand?
Which of these five is on your desk this quarter?
| Priority | The number | The question to ask |
| Budgeting and cost control | 76% ran AI agent spend over forecast (FERS 2026, Wave 5) | How much of our AI budget sits on credits that expire, and when? |
| Rethinking sourcing and vendor ecosystems | Discounts on the same product run 0 to 70% (IDC deal guides) | Where does our discount sit against peers on the same product? |
| Proving value | 66% fund AI so a department shows savings while the company loses money (IDC AI Economics research) | Does our business case hold at post-promotion pricing? |
| AI governance and ownership | 61% rate AI cost governance mature while running over budget (FERS 2026, Wave 5) | Who owns AI cost end to end, and mature against whom? |
| IT benchmarking | 61.3% are in the two earliest AI maturity stages (IDC MaturityScape Benchmark, 2026) | Where do we stand against peers on AI maturity, spend, and governance? |
Start with the priority whose number looks most like your own, and take its question to your next review. Watch the video, then see where your organization stands against peers in IDC Quanta for Tech Leaders.