The Economics of Agentic AI: How Much Does Microsoft AI Cost?
As AI adoption accelerates, licensing remains one of the most overlooked yet critical enablers of success. Rightly so as part of the ROI conversation, organisations are asking – what licenses do we actually need for agentic AI, and how much do they cost?
When it comes to Microsoft, Copilot licensing directly impacts how, where, and by whom AI tools can be used. This means that when embarking on your transformation journey, it is important to understand the Economics of Agentic AI.
What are the Economics of Agentic AI?
Agentic AI spend is something customers are increasingly seeking our help with at Telefónica Tech – so much so we’ve put together an Economics of Agentic AI Workshop.
Organisations must control AI spend, not only to avoid making headlines like the enterprise that accidentally spent $500M on uncapped Claude tokens, but to accurately understand ROI.
So, at a high level, in this blog I’ll outline the differences between current Microsoft AI licensing models. This is the first place to start when calculating the cost of AI.
By aligning licensing choices with business needs and technical capabilities, organisations can create a strong foundation for sustainable and secure AI transformation.
Microsoft AI licensing requirements and typical costs
Ensuring the right licensing model is in place is essential for enabling users to get the full value of the AI capabilities outlined in our Microsoft AI comparison sheet.
Each Copilot offering, whether it is Microsoft 365 Copilot, Copilot Studio, or Microsoft Foundry-based, delivers its benefits through distinct licensing requirements designed to meet the needs of different teams, complexity levels, and organisational maturity.
Microsoft 365 Copilot licensing model
Microsoft 365 Copilot requires an eligible Microsoft 365 subscription and an add‑on Copilot licence, which enables secure, organisation-aware AI tooling across the traditional M365 apps, such as Outlook, Teams, Word, Excel, and PowerPoint.
This licensing model gives users seamless access to productivity features grounded in their Microsoft 365 data and organisational permissions.
As a guide, Microsoft 365 Copilot is licensed per user, with pricing starting from around £25 per user per month depending on agreement type and billing terms. In practice, many organisations begin with a targeted pilot across priority user groups, before scaling more broadly as adoption, readiness, and measurable business value increase.
For context, a 100-user Microsoft 365 Copilot pilot would typically represent an indicative licensing investment of around £30,000 per year. Larger rollouts scale proportionally, so the key commercial question is not only “how much does Copilot cost?”, but which user groups should be licensed first to deliver the strongest productivity and business-value return.
But how do we decide which users will drive measurable ROI from Microsoft 365 Copilot?
When they revisited the rollout strategy, they shifted focus toward high-volume, task-intensive roles such as customer service leads, bid managers, and operations coordinators.
Within weeks, the impact of Copilot became far clearer: proposal turnaround times reduced significantly, customer responses became more consistent, and internal Teams and email volumes were easier to manage.
Copilot Studio licensing model
On the other hand, Copilot Studio is intended for organisations that want to build, customise, and deploy agents beyond what is possible in Microsoft 365 Copilot alone.
Hence, the Copilot Studio licensing structure supports low-code development, custom connectors, and workflow automation across multiple systems. Copilot Studio is ideal for process owners, analysts, and IT teams who need to orchestrate automations or publish agents internally/externally.
Copilot Studio paid plans typically start from around £160 per month for a tenant capacity pack, which includes a defined message allowance. Additional capacity can be added as usage grows.
Unlike Microsoft 365 Copilot, the commercial model is less about licensing every individual user and more about estimating how many[DS6.1] agent conversations or messages the organisation expects to process. This is why the right cost model starts with use cases, expected usage volumes, and the channels where agents will be deployed.
Licensing is structured to enable flexible deployment while maintaining governance, ALM, and security controls.
Microsoft Foundry licensing model
Lastly, Microsoft Foundry is licensed through Azure consumption and enterprise AI deployment models. Foundry is aimed to support organisations that require full end‑to‑end ownership of data, models, infrastructure, and agentic solutions.
The positioning of Foundry means it is the enterprise-grade environment for engineering teams who are building production AI applications or deeply integrated custom solutions.
Unlike Microsoft 365 Copilot or Copilot Studio, Microsoft Foundry is typically modelled as Azure consumption rather than a fixed per-user licence. As a guide, organisations may start with proof-of-concept usage in the hundreds of pounds per month, while production pilots commonly move into the low thousands per month depending on model choice, token consumption, grounding, integrations, monitoring, and operational requirements.
Foundry’s licensing approach ensures scale, transparency, and cost‑based control appropriate for more advanced AI solutions.
Creating a Scalable and Governed AI Licensing Strategy
Fundamentally, these licensing options ensure that every organisation, regardless of maturity, can avail of the right combination of Microsoft AI tools.
Off the back of the news story about the accidental $500M Claude spend, a (tongue-in-cheek) new acronym is doing the rounds: EBITTDA – Earnings Before Interest, Tax, TOKENS, Depreciation and Appreciation. I’m not sure if that one will take off, but it makes a poignant point about the growing impact of AI spend on the bottom-line.
Hence, by aligning licensing with the appropriate use case, complexity level, and governance requirements, this is how businesses can confidently scale AI adoption using a secure and future‑ready foundation.
Get AI tooling, costs, and ROI guidance
Looking for a deeper dive? Telefónica Tech’s Economics of Agentic AI workshop helps organisations navigate these licensing decisions.
We’ll walk you through usage levels, costs, and common scenarios before helping you ensure you select and deploy the right Copilot capabilities to maximise impact across your specific business.
The challenge for organisations is not simply understanding Microsoft’s AI licensing options in isolation, but determining how they combine to form a coherent, future-ready strategy.
Learn more about the Economics of Agentic AI workshop
The AI conversation has evolved. As organisations move beyond experiments, it’s time to double-down on tooling, licensing, proving ROI, and controlling costs. Get more information about Telefónica Tech’s Economics of Agentic AI workshop straight to your inbox:
