ServiceNow made its ambitions pretty clear at Knowledge 2026, with CEO Bill McDermott stating that the company wants to “once again double the size of the company in the next few years.” Behind the headline, ServiceNow expects to exceed $30B in subscription revenue by 2030, with AI accounting for more than 30% of annual contract value.
For now, the numbers are moving in the right direction – Q2 subscription revenue grew 24.5% year over year to $3.88B, remaining performance obligations reached $29B, and ServiceNow AI passed $1B in annual contract revenue. Perhaps vitally to this discussion, McDermott claimed that backlog is being fueled partly by “skyrocketing demand from our partner ecosystem.”
But doubling ServiceNow does not necessarily mean doubling the traditional ServiceNow services alongside it. AI is making implementations faster, changing what customers expect to pay for, and potentially reducing the number of people needed to deliver some projects. ServiceNow needs its ecosystem more than ever – but it may need a rather different ecosystem than before.
ServiceNow Is Betting Heavily on Its Partner Ecosystem
ServiceNow already has a sizable ecosystem behind it, with more than 2,700 partners globally, but the company is still putting more money and structure into that network as it chases its next phase of growth.
Its revamped 2026 Partner Program widened access to the Build Program, with more than 1,000 existing partners expected to transition across, while ServiceNow also introduced a new Access Tier and increased support around incentives, co-marketing, demand generation, and deployment. It seems clear that partners are being built into ServiceNow’s expansion plans rather than being treated as an optional extra.
This is even more obvious when you look at Ecosystem Ventures – ServiceNow has committed more than $150M to growing regional services partners and expanding capabilities across advisory, consulting, implementation, and other areas. In other words, the company is still investing in delivery capacity, even as AI starts to change how that delivery actually happens.
It would be easy to look at AI and assume that ServiceNow will eventually need fewer consultants, but the actual picture is a bit more complicated. Ravi Gaurav, a ServiceNow Solution Architect and former ServiceNow Practice Lead, told NowBen that AI is already helping with “development, scripting, testing, documentation, and analysis”, while customers are also bringing AI into project conversations much earlier.
But for Ravi, this doesn’t mean that roles are disappearing by any stretch. He told NowBen: “I don’t think AI simply means fewer people. It means smaller, more capable teams can potentially deliver more.” He added that the effort is moving away from repetitive work and more towards “architecture, data, integrations, governance and solving business problems.”
This lines up with ServiceNow’s own partner messaging at the moment, with its 2026 Partner Program announcement placing more emphasis on specialist use cases, faster deployment, and measurable business outcomes. Meanwhile, Knowledge 2026 Partner Day included dedicated sessions on “AI-native services” and an AI services playbook.
None of this proves that traditional implementation is going away. In fact, ServiceNow’s own investment suggests implementation capacity still matters, but what does seem to be changing is the mix of skills the ecosystem might now need. As Ravi put it, “knowing how to use AI is useful, but knowing where it actually adds value is even more important.”
What Does AI Change About the Partner Model?
Naturally, whether we like it or not, AI is going to have its say in this conversation, especially around what happens to the economics of all of this growth. Wider technology-services research suggests AI is already starting to reshape the kind of work partners make money from.
IDC’s 2026 ecosystem research, based on more than 1,000 partners, found that key typical areas such as implementation, integration, configuration, and basic support are becoming more compressed as more work is automated or absorbed into vendor platforms.
Now this does not mean these services disappear, and crucially, IDC is not talking specifically about ServiceNow. But if AI allows projects to be delivered more efficiently, does ServiceNow growth translate into the same amount of partner headcount growth as before?
Ravi does not think so: “If ServiceNow doubles in size, I don’t think partner headcount needs to double. AI and better tooling should increase productivity.”
His point isn’t necessarily about shrinking teams for the sake of it, but more about where the effort is shifted to. He mentioned that smaller, more capable teams could now potentially deliver more, with work moving away from those repetitive tasks into architecture, data, governance, and solving wider business problems.
This also aligns with IDC’s findings on partner value – its research points towards areas such as AI solution design, governance and compliance, industry advisory, and reusable intellectual property becoming a lot more important as “lower-value” delivery work becomes easier to automate.
ServiceNow’s own partner strategy appears to support at least part of that direction, with its 2026 Partner Awards recognizing categories around accelerating SaaS value, transformation, industry expertise, domain expertise, and measurable outcomes.
The big takeaway here is that capacity alone may not be enough right now. As Ravi put it, “the bigger challenge will be having enough people with the right skills and platform depth to support that growth.”
Final Thoughts: More Partners, or Different Partners?
McDermott’s ambition to “once again double the size of the company in the next few years” is bold (very on brand), but the partner ecosystem will clearly be a huge part of whether ServiceNow can reach that goal.
My takeaway is that this probably won’t be a case of simply doubling partner headcount alongside ongoing company growth. AI should allow teams to do more with menial tasks, while pushing placing more value on deeper platform knowledge, architecture, governance, and overall business outcomes.
ServiceNow is clearly investing time and money in its partner ecosystem, but future growth may depend more on having the right skills to support a broader, more AI-focused platform than just adding more people to it.
And this is exactly the kind of conversation we want to be having more of at NowBen. If you work in the ServiceNow ecosystem and have strong views, experiences, or insights on anything ServiceNow-related – AI, careers, projects, partners, or the direction of the company – feel free to reach out to me or the NowBen team. We’re keen to hear from more people in the space and bring voices into some of the biggest conversations happening around ServiceNow.