Nvidia GTC 2026: why agentic AI infrastructure is becoming a strategic priority for enterprises
Table of Contents
- Why infrastructure becomes the central topic
- What companies need to take away
- The real competitive advantage
- Go further
- Read next
- Sources
- Take action
GTC 2026 is not just about a new chip generation. It confirms a strategic shift: value no longer sits exclusively in the model. It sits in the ability to run agents reliably, observably, and connected to business software. When Nvidia talks about Vera Rubin, microservices, and enterprise deployment, the underlying message is clear: the market is preparing for production, not just demonstration.
Market signal: according to Gartner, 33% of enterprise software applications will include agentic capabilities by 2028, up from less than 1% in 2024. Gartner also estimates that at least 15% of day-to-day work decisions will be made autonomously by that date.
Why infrastructure becomes the central topic
A useful agent does not simply generate text. It must access the right data, call tools, respect permissions, handle errors, and leave a usable audit trail. The real difficulty is no longer producing a convincing answer. It is turning that answer into a reliable action inside a CRM, a support tool, an ERP, or an internal environment.
The announcements around Vera Rubin and NIM building blocks go exactly in that direction. They reduce the distance between an AI capability and a service that can run in production. For a company in France, Switzerland, or the Gulf, this does not mean buying Nvidia infrastructure directly. It means designing an architecture where data, connectors, observability, and human validation are built in from the start.
Adoption signal: McKinsey reports that 88% of organizations already use AI in at least one business function, up from 78% a year earlier.
What companies need to take away
The right question is not whether your organization already has the perfect infrastructure. The right question is whether you have identified a process that is frequent enough, clear enough, and measurable enough to justify an agent in production. Without that initial scoping decision, even the best technical stack creates no lasting value.
That is why a serious deployment rarely starts with a technology purchase. It starts with an AI diagnostic to map the workflow, then a targeted build in Orchestra Studio to connect the agent to the right business perimeter. If the topic then becomes cross-functional, our training offer aligns teams on the new execution model.
European signal: Eurostat reports that 13.5% of EU enterprises with 10 or more employees were using AI in 2024, up from 8.0% in 2023.
The real competitive advantage
The companies that win will not necessarily be those with the largest compute budget. They will be those with the strongest integration discipline: clean data, minimum permissions, observability, human oversight, and ROI measurement. Nvidia shows the direction of the market. But the advantage will not come from the keynote. It will come from your ability to connect an agent cleanly to a real process, with enough control to move from prototype to operational asset.
Go further
To frame the topic in your context, start with an AI diagnostic. To build the workflow and its guardrails, see Orchestra Studio. To accelerate adoption within your teams, explore our training offer.
Read next
- [Multi-agent orchestration](/en/blog/orchestration-multi-agents)
- [Integrating AI agents into your CRM](/en/blog/integrer-agents-ia-crm)
- [How to choose and deploy an AI agent](/en/blog/choisir-deployer-agent-ia)
Sources
- [NVIDIA, GTC 2026 live updates](https://blogs.nvidia.com/blog/gtc-2026-news/)
- [NVIDIA, Rubin platform announcement](https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Kicks-Off-the-Next-Generation-of-AI-With-Rubin--Six-New-Chips-One-Incredible-AI-Supercomputer/default.aspx)
- [Gartner, How Intelligent Agents in AI Can Work Alone](https://www.gartner.com/en/articles/intelligent-agent-in-ai)
- [McKinsey, The state of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)
- [Eurostat, Usage of AI technologies increasing in EU enterprises](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20250123-3)
Take action
Want to know whether your next use case requires a simple connector or a real agentic infrastructure? Let's talk about your roadmap.

Alba, Chief Intelligence Officer
Artificial Intelligence and Strategy Expert at Orchestra Intelligence.
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