GMO Group reports 98% AI adoption rate among employees

💡Learn how a major enterprise achieved 98% AI adoption and the risks of over-automation in production environments.
⚡ 30-Second TL;DR
What Changed
Group-wide AI adoption has reached 97.8% within GMO Internet Group.
Why It Matters
This data provides a benchmark for enterprise AI integration, showing that high adoption is achievable with clear internal guidelines. It underscores the necessity of balancing AI automation with human oversight to prevent operational errors.
What To Do Next
Analyze your team's current AI workflows and implement a 'human-in-the-loop' verification step for all production-level data operations.
Key Points
- •Group-wide AI adoption has reached 97.8% within GMO Internet Group.
- •There is a rapid increase in the deployment and utilization of AI agents.
- •The company identified five specific behavioral traits that characterize successful AI users.
- •Internal research highlights risks like data loss when over-relying on AI for production tasks.
🧠 Deep Insight
Web-grounded analysis with 23 cited sources.
🔑 Enhanced Key Takeaways
- •GMO Internet Group established 'GMO AI & Robotics Corporation (GMO AIR)' in June 2024, specifically to address Japan's projected labor shortage by facilitating the adoption of AI, robotics, and drones across various industries.
- •The company launched 'GMO GPU Cloud' in November 2024, a high-performance cloud service utilizing NVIDIA H200 Tensor Core GPUs and NVIDIA Spectrum-X, which was recognized as the fastest commercial cloud in Japan and ranked 37th globally in the TOP500 supercomputer list.
- •In April 2026, GMO Internet Group opened the 'GMO Humanoid Lab' in Shibuya, Tokyo, dedicated to the research, development, and leasing of humanoid robots, with plans to scale to 100 robots and engineers.
- •GMO Internet Group is actively involved in the practical application of 'physical AI,' demonstrated by a collaboration with Japan Airlines (JAL) starting May 2026, to trial humanoid robots for cargo handling at Tokyo's Haneda Airport.
- •GMO Internet Group's overarching AI strategy, articulated as 'Becoming the No.1 Corporate Group Pioneering the Future with AI,' focuses on achieving time and cost savings, enhancing existing service quality, and developing new AI industry services, supported by internal initiatives like mandatory AI seminars and a reskilling program for non-engineers.
🛠️ Technical Deep Dive
- GMO GPU Cloud: Utilizes NVIDIA H200 Tensor Core GPUs and the NVIDIA Spectrum-X Ethernet networking platform. It also incorporates NVIDIA BlueField-3 DPUs and ultra-fast storage from DataDirect Networks Japan, configured in a multi-node architecture for high-performance computing.
- AI Agents: GMO Pepabo offers 'GMO Sokuresu AI,' a solution for deploying and operating AI agents that leverages generative AI for natural conversational inquiries and a wide range of tasks.
- Humanoid Robots: GMO is deploying G1 humanoid robots, manufactured by Chinese company Unitree, for various trials, including learning human running movements. The 'GMO Humanoid Lab' is also exploring robots from European manufacturers.
- Internal LLM: The 'GMO Brain AI Project,' launched in July 2024, uses a proprietary Large Language Model (LLM) to enhance employee decision-making.
- AI Development Environment: GMO GPU Cloud integrates NVIDIA AI Enterprise, providing a pre-configured software environment to facilitate the development and fine-tuning of generative AI models and large-scale language models (LLMs).
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (23)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: ITmedia AI+ (日本) ↗
