Deep Dive into Tokenomics from Google Cloud: How to Control Enterprise AI Costs Without Budget Overruns
Key takeaways from Leaders' Connect 2026 reveal enterprise AI cost management strategies for the AI-Ready era, controlling costs per token and tackling cybersecurity threats.
Stock photo for illustration only, not from the actual event
- Google Cloud processes up to 1.3 trillion tokens per month, growing over 130 times in just one year.
- Thai enterprises are transitioning from Cloud First to the AI-Ready era, focusing on cost control and enhanced security.
- Google AI Threat Defense combines four powerful tools to defend against AI-era threats in real time.
Over the past two years, enterprise investments in artificial intelligence worldwide have surged dramatically, driving Google's AI processing volume to a staggering 1.3 trillion tokens per month. This reflects how the business sector has moved past the testing phase and into deploying AI to drive large-scale operations in reality.
However, the key challenge following closely behind is cost. This issue was highlighted by Suroj Tiptusana, the new Country Manager of Google Cloud Thailand, at the Leaders' Connect 2026 stage. He noted that the current direction of Thai enterprises is shifting toward the AI-Ready era, where the measure of success is no longer just having the smartest model, but rather the ability to put it into practical use, accurately control budgets, and rely on a trustworthy security system.
The core question is how to control costs for AI that operates around the clock. The heart of the matter lies in the concept of Tokenomics—the mechanism for pricing and managing tokens, which are the smallest units AI uses to process text, images, or audio every time data is transmitted.
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