At NVIDIA’s GTC conference, CEO Jensen Huang posed a question to the assembled business leaders that left many visibly uncomfortable: "What is your agentic strategy?" Not "do you have a chatbot?", not "are you using AI for customer service?", but: how is your organisation dealing with autonomous AI systems that independently make decisions, execute tasks and manage processes?
It is a question most European companies cannot answer today. And that is exactly the point.
From question-and-answer to autonomous action
Over the past two years, most organisations have come to know AI as a chatbot. A clever text box where you type questions and receive answers. Useful for summarising documents, answering customer queries or generating a first draft. But fundamentally passive: the human asks, the machine answers.
Agentic AI works differently. An AI agent receives an assignment and executes it independently. It searches systems, compares options, makes intermediate decisions and delivers a result. Not an answer to a question, but a completed task. Think of a system that independently processes your accounting, analyses and compares incoming quotes, or compiles a complete report from five different data sources.
The difference is not gradual. It is a fundamentally different way of working with AI.
The major players are building the infrastructure
That agentic AI is not hype but an industry shift becomes clear when you look at where the largest technology companies are putting their money.
NVIDIA launched NemoClaw at that same GTC conference: a secured environment for AI agents. Specifically: a sandbox in which agents can operate without direct access to sensitive business systems, supplemented by a privacy router that determines which information an agent may and may not access. It is, simply put, a safety harness for autonomous AI.
Anthropic, the company behind Claude, is building towards the same shift but in a different way. Quieter, step by step. Their recent launches, Dispatch and Claude Cowork, are puzzle pieces that together form a platform on which AI agents can divide tasks, collaborate and deliver results. Microsoft immediately licensed that technology for Copilot Cowork.
Two completely different styles, the same conclusion: the future of AI in business is not a chat window. It is autonomous systems that do work.
Why the safety investment is the real signal
You might think that all this attention to security and sandboxes is a sign that agentic AI is not ready yet. The opposite is true. The fact that NVIDIA, Anthropic and Microsoft are investing heavily in security layers, privacy controls and governance tools proves they expect this technology to be deployed at scale.
You do not build expensive safety infrastructure for an experiment. You build it for something that is going mainstream. The guardrails are not there because agentic AI is dangerous, but because it is powerful enough to do real work, and therefore carries real risks.
For businesses, this is an important signal. The safety investments mean the technology is becoming mature enough to deploy responsibly. Not in five years, but now.
What this means for European businesses
The temptation is to dismiss this as something for Silicon Valley. Big tech companies building big things for big multinationals. But the shift from chatbot to agent affects every organisation that does knowledge work.
If your AI roadmap today revolves around "a chatbot for customer service" or "AI assistance for our employees", that roadmap is already outdated. Not because chatbots do not work — they work fine — but because you are missing the real productivity gains.
The question is no longer "where can we use AI to answer questions?" but "which complete processes can we have AI agents execute?" That is a fundamentally different question, with fundamentally different answers.
Concretely, this means:
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Rethink processes, do not just copy them. The instinct is to transfer existing workflows one-to-one to AI. But that is a missed opportunity. Agentic AI opens possibilities that simply did not exist before. The right question is not "how do we automate what we do today?" but "how would we design this process from scratch, with this technology?"
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Agents are digital employees, not software. A chatbot is a tool you use. An agent is a digital employee you manage. That distinction is crucial. Just as you give a new colleague context, set expectations and follow up on results, you need to do the same with agents. Humans remain in control. Those who forget this are not automating — they are losing oversight.
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Start small, but start with agents. You do not need to rebuild your entire company immediately. But if you are starting AI projects now, design them as agentic systems. An agent that compiles your weekly report. An agent that processes incoming invoices. An agent that analyses your CRM data and suggests action points.
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Make the journey part of your strategy. An agentic strategy is not just a technology choice. It is also a change management journey. How do you bring your people along? What new skills do they need to effectively manage agents? How do roles and responsibilities shift? Those who focus only on the technology and not on adoption will be disappointed.
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Invest in architecture, not isolated experiments. The chatbot phase was an experimentation phase. There is nothing wrong with that. But those who continue stacking isolated chatbot experiments without thinking about how agents will collaborate, with which data, under which security rules, are building on sand.
The real lesson
Jensen Huang did not ask his question just to sell NVIDIA products. Or at least not only. He asked it because he sees where the market is heading. And he is not alone. Anthropic, Microsoft, Google — they are all building towards the same future.
The organisations best prepared for this are not the ones waiting for the technology to be "finished". They are the organisations already thinking about their agentic strategy today. That understand which processes qualify. That have their data in order. That are bringing their people along in the shift.
Ownership is the key word here. The technology does not determine your course — you do. The tools are there. The safety layers are being built. The question that remains is the same one Jensen Huang posed on that stage in San Jose:
What is your agentic strategy?