AI Budget 2027: How do you budget for AI on AWS?
AI is moving from experimentation into everyday operations. But for many companies, one question is still surprisingly difficult to answer:
How much should we actually budget for AI in 2027?
AI does not behave like traditional software. Costs depend on model choice, usage, reasoning, RAG, agents, infrastructure, evaluation and observability - and on how quickly people actually adopt what you build.
This is already becoming a mainstream challenge: 98% of FinOps practitioners now manage AI spend, up from 31% two years ago. AI cost management is now the #1 skillset FinOps teams say they need to develop.
In this 45-minute live session, we will move beyond token prices and look at what it actually costs to run AI in production.
The questions we’ll answer
How can you forecast AI costs for 2027 when usage, model prices and adoption keep changing?
What is the true cost of an AI use case? Why tokens are only one part of the bill.
What unit should you budget against? Tokens, users, queries, workflows - or business outcomes?
When is an AI investment worth scaling? Connecting cost, quality, productivity and business value.
What you’ll leave with
A practical framework for having a much more concrete AI-budget conversation inside your organization.
Most importantly, we’ll move the conversation from:
“How many tokens will we need?”
to:
“What does it cost to deliver this business outcome with AI and is that investment worth it?”
For: CIOs, CTOs, CFOs, VPs, Directors, senior architects and technology leaders shaping their organization’s AI strategy.
Speakers
Sadik Bakiu · CEO, DataMax
Bujar Bakiu · Managing Director, DataMax
Host
Vlorë Krug Kryeziu
45 min live session · Expert input + Q&A