The cloud is already complex, which is why FinOps exists, but AI is pushing that complexity into uncharted territory. Roughly 72% of IT and financial leaders find their AI-driven cloud spending unmanageable.
0%
of companies have core cloud usage management practices like FinOps
0%
of companies have comparable practices for AI
Cloudflation is real, but AI inflation is extreme
Up to
0%
rate increases driven by cloudflation, depending on the provider
0%
increase in the average cost of AI computing between 2023-2025
2x
increase forecast for critical power needs for GPU servers between 2023-2026
AI budgets are accelerating twice as fast as cloud
0%
of organizations plan to increase their cloud budgets
0%
of companies plan to increase their AI investments by 2028
0%
increase in spending on compute and storage hardware for AI deployments in the first half of 2024
AI maturity is 14x harder to achieve than cloud maturity
0%
of companies are at the “Run” level of FinOps – the top maturity stage designated by the FinOps Foundation
1%
of enterprises say their AI investments have reached maturity, meaning they are financially optimized to drive substantial outcomes
AI is 6x more expensive than cloud
$320
for a standard cloud server with 2 CPUs, 16 GB of memory, and 256 GB of storage
$1,897
for a GPU-powered server with dual NVIDIA Pascal processors and 32 GB of GPU memory
Bottom line: without proper cost oversight, the cloud services required to power AI can become the top barrier to its success.
0%
of organizations have canceled or postponed at least one AI initiative due to costs, and roughly 20% of initiatives fail to scale for this reason
0%
of organizations now manage AI spending, more than double compared to 2024
See how a FinOps-certified platform like Tangoe One Cloud makes AI cost management faster, smarter, and more scalable.