Mynet Targets 50% Cut in Game Operating Costs Using AIA · FULL TRANSLATION
- Mynet sets a goal to cut game operating costs 50% with AI
- Built on know-how from operating 80+ game titles
- Pushes AI automation of operational workflows
- Focuses on efficient long-term live-ops of existing games
By naming a concrete "50% cost cut with AI" target, Mynet highlights a real bind in the back half of a mobile game's life: new-user acquisition costs are soaring while live-ops labor steadily eats the profits of existing titles.
Its angle is telling—not using AI for flashier content, but for thrift. Handing repetitive ops work like support, event planning, metric monitoring and player segmentation to AI turns hard-won human know-how into a scalable system. For a firm whose model is taking over other studios' games, operational efficiency is the core competitive edge.
It also foreshadows the industry's next phase: the value of generative AI may surface first not in creation, but quietly in the back-office of operations and maintenance, rewriting the cost structure.
Mynet Co., Ltd. (Minato-ku, Tokyo; President: Minori Iwaki) announced it has set and begun pursuing a goal of cutting game operating costs by 50% through the use of AI.
Drawing on proprietary know-how built across more than 80 game titles, the company is advancing further efficiency in operations using AI. Specifically, it will introduce AI to automate and optimize labor-intensive, highly repetitive operational work such as customer support, event planning, ops-data monitoring and player analysis.
With its core business of taking over and running existing games long-term, operational efficiency is precisely Mynet's competitive strength. Through AI, the company aims to substantially lower operating costs while maintaining game quality and player experience, and to crystallize its accumulated operational know-how into a scalable, replicable system.