Domestic AI Agent Trends (March 21, 2026 Issue)
Update Date: 2026/3/21
Executive Summary
As of March 20, 2026, the focus of domestic AI agent trends has shifted from the proof-of-concept stage to production deployment and operational integration. DataRobot and Nebius are promoting shorter implementation periods and operational stability through AI factories based on proprietary GPU infrastructure; NEC has commercialized management decision-making support using cotomi; and TerraSky has expanded business connectivity with MCP-compatible mobile capabilities. In addition, with Aircom's communication-specialized multi-agents, NVIDIA's ecosystem expansion strategy, security and regulatory debates surrounding OpenClaw, and the shift in management philosophy highlighted by the Kyoto University seminar, technology, industry, and institutions are being reorganized simultaneously.
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1️⃣ DataRobot × Nebius Partnership: Resolving Barriers to Production Deployment of Enterprise AI Agents with AI Factories
🔗 Source: DataRobot and Nebius Launch Agent Workforce Platform on NVIDIA AI Infrastructure (excite.co.jp)
DataRobot and Nebius have announced a strategic partnership. By running an agent workforce platform on NVIDIA Hopper/Blackwell generation GPU-dedicated clouds, they are resolving the 'noisy neighbor problem' and the 'months-long implementation period' that have hindered production deployment until now. They are shortening AI agent implementation time to as little as a few days, while achieving security through NeMo Guardrails integration and avoiding vendor lock-in via Kubernetes. They provide a verified AI factory that allows enterprise companies to operate AI agents at scale with confidence.
2️⃣ NEC 'Management Strategy Support Cockpit': Management Recommendation Agent Utilizing In-house AI 'cotomi', Available from April 2026
🔗 Source: NEC Offers 'NEC Management Strategy Support Cockpit' to Support Decision-Making by Department Heads Using Data (jpn.nec.com)
NEC has announced the 'NEC Management Strategy Support Cockpit,' a decision-making support tool equipped with a 'Management Recommendation AI Agent' that utilizes its proprietary AI core technology, 'cotomi.' It automatically integrates and analyzes internal management data with market and competitor information, periodically presenting 'insights' on KPI fluctuations and concrete 'action proposals' on a dashboard. It automates manual tasks such as data collection, processing, and aggregation previously handled by the FP&A department, enabling management to autonomously access insights. NEC has already implemented it internally as 'Client Zero' and will begin offering it on April 1, 2026.
3️⃣ TerraSky 'mitoco Buddy Mobile': Mobile Version Release of MCP-Compatible AI Agent Platform
🔗 Source: TerraSky Announces Mobile Version of MCP-Compatible AI Platform 'mitoco Buddy Mobile' (cloud.watch.impress.co.jp)
TerraSky has added a mobile version, 'mitoco Buddy Mobile,' to its MCP (Model Context Protocol)-compatible AI platform, 'mitoco Buddy.' It integrates and links with major tools such as Salesforce, Slack, Google Calendar, and HubSpot via MCP, allowing users to give instructions to the AI via voice or text while on the go or commuting. Because the AI remembers past interactions and work styles, users can receive optimized support without having to repeat the same explanations every time. Complex processing is automatically executed in the background, and the design ensures that a push notification is sent upon completion.
4️⃣ Aircom 'raNora': Announcement of Multi-Agent AI Platform for Communication Infrastructure
🔗 Source: Aircom Announces 'raNora', an Agent-Based AI Platform for Autonomous Networks (jp.prnasia.com)
'raNora,' a multi-agent AI platform specialized for wireless network planning, engineering, and operations, has arrived. Role-based agents (database agents, coverage agents, etc.) collaborate to directly interpret and execute engineering runbooks. It ensures the 'reproducibility' and 'traceability' essential for infrastructure operations through a multi-stage orchestrator, making it a highly specialized, vertically integrated solution that stands apart from general-purpose agents.
5️⃣ NVIDIA GTC 2026: Jensen Huang Announces Nemotron-3 Super & Rejects 'SaaSpocalypse' Theory
🔗 Source: Jensen Huang expands AI factory alliances, rejects SaaSpocalypse claim (biz.chosun.com)
NVIDIA CEO Jensen Huang once again rejected the 'SaaSpocalypse' theory that 'AI will destroy SaaS' at GTC 2026. He argued that AI agents do not replace software but are catalysts that exponentially increase software usage through APIs. The company announced 'Nemotron-3 Super,' an open AI model specialized for agent execution, and has signed partnerships with over 20 companies, including Siemens, Adobe, Salesforce, and CrowdStrike, to promote the expansion of the AI factory concept ecosystem.
6️⃣ OpenClaw Proliferation and Asian Security Risks: Taiwan's Ministry of Digital Affairs Reports to Parliament
🔗 Source: MODA to closely observe agentic AI / As OpenClaw enthusiasm grips China (japantimes.co.jp)
Minister Lin Yi-jing of Taiwan's Ministry of Digital Affairs (MODA) testified in the Legislative Yuan regarding security issues with AI agents such as OpenClaw. Cases have been reported where AI agents automatically perform purchase transactions or upload videos to YouTube, and OpenClaw has also been pointed out for vulnerabilities that could serve as a springboard for cyberattacks. While the EU is listing prohibited applications in its AI Act, the US maintains a cautious stance, arguing that regulation hinders innovation. Taiwan, Japan, Singapore, and South Korea are facing diplomatic pressure over which regulatory framework—EU or US—to adopt.
7️⃣ Kyoto University Seminar 'How AI Agents Change the Definition of an Entrepreneur': Silicon Valley VC Takes the Stage
🔗 Source: Silicon Valley VC Representative to Speak at Special Seminar 'How AI Agents Change the Definition of an Entrepreneur' (prtimes.jp)
The Kyoto University Graduate School of Management hosted a special seminar on March 20 titled 'How AI Agents Change the Definition of an "Entrepreneur" — Silicon Valley Reality and the Philosophical Shift in Management,' featuring Anis Uzzaman, representative of Silicon Valley VC Pegasus Tech Ventures and specially appointed professor at Kyoto University. Against the backdrop of a transition to an era where AI autonomously operates organizations beyond mere efficiency, the seminar covered the latest trends in Silicon Valley investment, the future of entrepreneurship in the AI era, and the philosophical shift in management. Participation was free and open to the public.
Comprehensive Analysis
The key feature of March 20, 2026, is that the main battlefield for AI agent competition has shifted from 'model performance' alone to 'safe operational infrastructure,' 'deep integration into existing workflows,' and 'industry-specific reproducibility.' DataRobot and NVIDIA are solidifying the foundation for large-scale operations with AI factories, while NEC and TerraSky are concretizing value in areas closer to management and daily operations. On the other hand, as the OpenClaw discussion points out, the more widespread adoption becomes, the more the benefits and risks of autonomous execution will become two sides of the same coin. The future winners are likely to be companies that can design governance, auditability, external system integration, and on-site adoption as a unified whole, rather than those that simply possess high-performance models.
Points to watch in the future
In the AI agent market, 'production implementation capability'—including dedicated GPUs, guardrails, audit logs, and Kubernetes operations—is more likely to become the center of competitive advantage than simply having a smart model.
As the cases of NEC and TerraSky demonstrate, future adoption is more likely to progress first in applications with clear performance indicators, such as management, sales support, and mobile operations, rather than general-purpose chat.
The expansion of MCP support is a move toward making AI agents closer to an operating system for business rather than standalone products, and the ability to deeply connect to external SaaS and internal databases will likely become the core of adoption decisions.
The debate surrounding OpenClaw indicates that AI agents have changed from information generation tools to entities that execute actions, and from now on, the design of access control and division of responsibility will be questioned before convenience.
As vertical-specific agents such as those for telecommunications, management, and mobile operations increase, it is worth noting that there will be more situations where multi-agent designs embedded with industry knowledge will outperform general-purpose types.
The 'SaaSpocalypse' theory denied by NVIDIA is important; in reality, rather than the disappearance of SaaS, it is highly likely that SaaS will be redesigned on the premise of being used by AI via APIs, changing the dynamics of the software market.
As the theme of the Kyoto University seminar suggests, the evolution of AI agents may not stop at business efficiency but could become an opportunity to change the role of entrepreneurs from 'decision-makers' to 'designers of autonomous organizations.'
