Google is changing its billing and resource allocation for its AI-driven developer platforms -- specifically Google Antigravity in Gemini Enterprise -- to help brands and agencies of all sizes
control rising costs.
On Wednesday, the company said it will offer businesses ways to manage AI costs through flexible billing options.
Google calls the program FinOps, short
for financial operations, to provide businesses with options to cut costs for AI agents and developer subscriptions for platforms such as Antigravity and Android Studio AI in Gemini Enterprise. It
offers everything from expanding billion to pay-as-you-go options for some customers using the Gemini Enterprise app.
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In fact, for the most unique
feature, pay-as-you-go, there is no initial commitment or base subscription fee, and businesses only pay for the compute and tokens that the teams consume at standard model API rates. The amount spent
scales up and down automatically as the system is used.
Autonomous AI agents consume much more compute power than standard AI chatbots, which creates severe and
unpredictable budget risks for businesses including agencies and brands.
Unlike a standard "one-request, one-response" chatbot, Antigravity 2.0 acts as an autonomous
command center where multiple background agents execute multiple loops that run tests, browse code bases, and bring on subagents entirely on their own -- sometimes with little control, which can cause
costs to skyrocket.
The new payment options include a flexible savings plan when companies commit to a set monthly spend if their AI workloads are steady or increasing.
Businesses also
can set monthly caps on AI spend, the company wrote in a blog post published Wednesday.
If AI workloads remain steady or rise, the “Flexible Savings Plans” allows the company to
commit to a monthly spend, which enables businesses to reduce token costs by between 10% and 20% with no minimums, no maximums, and no new billing silo to manage.
Industry executives and
brands have noted in the past that AI costs are expensive, and many have not determined how to prove the return on investments. Without that ability, many have not been able to get the signoff from
upper management in the company.
For large enterprises generating revenue of $1 billion or more, the average spend on AI licenses and infrastructure is about $118,000 per month, according to a
2026 benchmark report from Eliassen Group, a strategic consulting company.
Gartner has published yearly global forecasts and year-over-year increases. The analyst firm projects worldwide
AI spending about $1.765 trillion in 2025, growing to about $2.596 trillion in 2026.
For companies using the Gemini Enterprise app per-user seat subscription, for example,
businesses can pay a fixed monthly fee per user, which includes daily quota pools that are shared across the entire project.
Google said it can optimize spend through
predictable budgeting, providing finance teams with a monthly baseline for teams with consistent daily needs.
Google Antigravity in Gemini Enterprise, an
agent-first developer platform that brings agentic coding and agent-building capabilities to technical teams, also will roll out soon.