Huawei Predicts Autonomous AI Agents Will Drive Most AI Traffic Within the Next Decade
Huawei believes the next major shift in artificial intelligence will be led by autonomous AI agents, with these systems expected to generate the majority of AI-related traffic over the coming years. According to the company’s outlook, AI agents could account for as much as 90% of token traffic within the next decade, reshaping how digital infrastructure is built, scaled, and managed.
AI agents are designed to work with a high level of independence. Unlike traditional chatbots or simple automation tools, they can plan tasks, make decisions, interact with software, process data, and complete multi-step workflows with limited human input. As these systems become more advanced, they are expected to be used widely across business operations, cloud services, software development, customer support, research, logistics, finance, and smart devices.
This rapid rise in AI agent activity could place enormous pressure on global technology infrastructure. More autonomous systems means more tokens being processed, more real-time decision-making, and more constant communication between AI models, applications, and data centers. Huawei expects this trend to create strong demand for high-performance computing, faster networking, larger storage systems, and more efficient power solutions.
The forecast also highlights a growing challenge for the technology industry: AI is no longer just about building smarter models. The infrastructure behind those models is becoming just as important. Data centers will need to handle heavier workloads, networks will need to move information with lower latency, and storage platforms will need to manage huge amounts of data generated by AI-driven tasks.
Power consumption is another key concern. As AI agents become more common, the energy required to support continuous AI processing could increase significantly. This makes efficiency a major priority for companies developing chips, servers, cloud platforms, and data center technologies. Future AI infrastructure will likely need to balance performance with sustainability, especially as businesses look to deploy AI at scale.
Huawei’s prediction reflects a broader industry belief that autonomous AI systems will become central to the next phase of digital transformation. Instead of users manually prompting AI tools for every response, AI agents may soon operate in the background, handling complex assignments, coordinating services, and improving productivity across many sectors.
If this shift happens as expected, the next decade could bring a major transformation in how AI traffic is generated and managed. The growth of autonomous AI agents may become one of the biggest drivers of investment in computing infrastructure, networking technology, cloud capacity, data storage, and energy-efficient hardware.
