Enterprises waste more than $300B annually in unused cloud credits and SaaS overspending. Learn why cloud commitments go unused, why multicloud expansions intensify waste, and how AI automation—like StackBooster—helps engineering teams regain control.

Cloud spending was supposed to bring efficiency, elasticity, and better economics.
But today, the opposite is happening.

A new Infosys report reveals a staggering figure:

Over half of corporate cloud spend commitments go unused — totaling more than $300 billion in wasted credits every year.

And that's only the infrastructure side.
SaaS — the largest cloud market segment — is now one of the biggest sources of enterprise overspending.

Cloud was meant to be “pay for what you use.”
Instead, it has quietly become “pay for what you hoped you'd use.”

This is the new reality CIOs, CTOs, DevOps leaders, and platform engineering teams are waking up to.

The Hidden Problem: Cloud Spend Is Growing Faster Than Cloud Usage

Despite the massive waste:

• Two-thirds of global enterprises increased cloud spending this year.
• 4 in 5 expect to increase it again next year.
• Multicloud adoption has grown 75% since 2021.
• Most enterprises now use three or more cloud providers.

The cloud market isn't slowing — it’s accelerating. But cost hygiene? Resource governance? Usage alignment?

Those haven’t kept up.

And it’s costing enterprises hundreds of billions.

The real causes why waste is exploding

1. Cloud commitments are misaligned with real needs

Cloud vendors sell committed-use contracts in chunks — often for 1–3 years.
But workload patterns shift, business priorities change, and teams migrate faster than predicted.

Result: Enormous pools of prepaid credits never get used.

2. Multicloud Strategies Multiply Waste

Companies say they want “the right cloud at the right price.”
But in practice?

• Distributed workloads
• Fragmented procurement
• Department-level tool decisions
• Siloed engineering teams

All lead to overlapping, underutilized, and forgotten commitments.

3. SaaS Subscriptions Balloon Without Governance

SaaS sprawl is now one of the fastest-growing categories of waste:

• Unused seats
• Duplicated tools
• Automatic renewals
• Tools purchased by teams without IT oversight

The simplicity of buying SaaS creates hidden, recurring waste that compounds every year.

4. Lack of Real-Time Visibility + Slow Manual Optimization

SOC alerts, dashboards, and cost reports show past spend — not future waste.
Humans cannot react fast enough to:

• fluctuating usage
• unexpected traffic shifts
• changing compute costs
• application scaling needs

By the time a report highlights overspending, weeks or months of waste have already passed.

5. Cloud Can Be a “Black Hole for Money”

Not because the cloud is inherently inefficient — but because humans alone cannot manually optimize thousands of moving parts across dozens of systems.

This is where AI-driven automation fundamentally changes the equation.

Cost optimization needs intelligence, not more dashboards

Enterprises don’t suffer from lack of data.
They suffer from a lack of autonomous action.

• Cost reports show overspend.
• Dashboards surface anomalies.
• FinOps tools highlight trends.

But none of this fixes the underlying inefficiency.

To stop burning through cloud credits, companies need modern, intelligent automation that:

• predicts resource needs
• reallocates compute before idle waste builds
• rightsizes continuously
• eliminates overprovisioning
• prevents performance drift
• optimizes cloud usage as workloads change in real time

This is the only scalable path to reduce the $300B waste crisis.

The Solution: Real-Time Autonomous Optimization

StackBooster is an AI agent built specifically for Kubernetes performance and cost optimization.

Unlike traditional dashboards or cost reports, StackBooster acts autonomously.

Here’s how it helps enterprises reclaim wasted spend:

1. Prevents Overprovisioning at Both App and Node Level

Most tools only look at applications.
StackBooster goes deeper — optimizing:

• app resources
• node allocations
• cluster density
• real-time workload efficiency

This reduces the mismatch between committed resources and actual use.

2. Continuously Adjusts Resources

Instead of manual tuning or monthly adjustments:
StackBooster optimizes CPU, memory, and scaling parameters every second.

This drastically reduces:

• idle resources
• underutilized nodes
• unused commitments
• SaaS-driven compute waste

3. Predicts Workload Behavior to Avoid Future Waste

AI learns your patterns:
traffic, load, seasonality, user behavior, and demand shifts.

It then forecasts and auto-adjusts capacity before you overspend.

4. Shrinks MTTR and Eliminates Resource-Driven Incidents

Many SaaS and infrastructure inefficiencies come from performance issues —
StackBooster prevents them by ensuring:

• correct resource levels
• balanced nodes
• proactive scaling
• continuous optimization

This reduces human toil, on-call fatigue, and operational friction.

5. Up to 80% Cost Reduction Without Compromising Performance

By combining prediction + automation + optimization, StackBooster:

• increases cluster efficiency
• reduces node hours
• improves density
• eliminates overpricing
• reduces unused commitments

This is how enterprises turn “cloud waste” into “cloud efficiency.”

Cloud adoption isn’t slowing down. SaaS isn’t shrinking. Multicloud isn’t going away.

If anything, all three are accelerating — which means the $300B annual waste figure will only grow unless organizations adopt intelligent, autonomous optimization layers.

No spreadsheet, no dashboard, and no FinOps meeting can fix this.
Only continuous, real-time automation can.

And that is exactly what AI agents like StackBooster deliver.

Ready to take control of your cloud spending and unlock the full potential of your Kubernetes environment?
Schedule a demo: https://calendly.com/stackbooster/stackbooster-discovery?month=2025-11