Huawei has unveiled the key technological directions expected to shape the development of the Intelligent World through 2035 in its new report, Intelligent World 2035: Turning Vision into Action. At the heart of this report lies the rapid evolution of agentic AI and the growing demands it places on computing power, networks, storage, cloud infrastructure, and cybersecurity.
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Huawei: Agentic AI is one of the key variables driving this transformation
According to the report, annual global token consumption is expected to increase 100,000-fold by 2035, with more than 90% of related traffic originating from AI agents.
Additionally, the Global Digitalization and Intelligence Index 2026 forecasts that artificial intelligence could generate cumulative economic value exceeding $27 trillion USD over the next five years.
“Agentic AI is one of the key variables driving this transformation. For artificial intelligence to reshape business models, competitive dynamics, and industry structures, significant challenges must be addressed. The direction is clear, but turning vision into reality requires concrete action. That is precisely what this year’s report focuses on,” said David Wang, Deputy Chairman of the Board and Rotating Chairman of Huawei.
The key directions through 2035
For the first time, the report “Intelligent World 2035: Turning Vision into Action” focuses on 10 areas tied to the evolution of AI and the infrastructure required to support it. The key directions include developing AI with greater autonomy, increasing computing power while reducing costs, building new storage and memory systems, designing networks and operating systems purpose-built for AI agents, and developing more efficient chips.
Additional directions cover the broader integration of AI into devices and smart driving, addressing the growing energy and cooling demands of AI data centers, and strengthening cybersecurity and privacy protection.
To support these needs, Huawei proposes building a token-centric, end-to-end intelligent infrastructure — encompassing SuperPoDs and open ecosystems, intelligent connectivity infrastructure, and agent-native cloud platforms.
Global investments exceeding $4 trillion by 2030
The second report, the Global Digitalization and Intelligence Index 2026, co-developed by Huawei and the Institute of Economics at Tsinghua University, assesses the digital and intelligent development of 90 countries. Nations are ranked across three development stages — Builder, Adopter, and Frontrunner — enabling each market to identify its own priorities and areas for growth.
Greece is ranked in the Adopter category, performing above average in Data Creation, Data Processing & Storage, Green Energy, and Policy. The country performs at the average level in Data Transfer, while scoring close to average in Data Application and Talent & Ecosystem — highlighting areas with further room for development.
According to the report, global investments in digital and intelligent infrastructure are expected to grow at a compound annual growth rate of 19.14%, surpassing $4 trillion by 2030. Data, ICT talent, and digital and intelligent technologies are identified as the primary growth drivers.
As David Wang noted: “Visions are expressed in words but measured in actions. Huawei is ready to work with customers and partners around the world, turning every practical step we take today into meaningful progress toward the Intelligent World of 2035.”
Both reports were presented at Huawei’s online event “Act Today. Shape Tomorrow.” — a message that captures the company’s approach to the next phase of artificial intelligence: transitioning from vision to action through systematic research and sustained investment in critical technologies and infrastructure.
In pursuit of this direction, the company has established five core principles: adopting a long-term and systemic approach, keeping people at the center, leveraging technology for the benefit of society, and remaining committed to collaboration. Within this framework, Huawei aims to transform technological innovation into meaningful progress for industries, businesses, and society — laying the groundwork for the broad and responsible adoption of AI.
The 10 key directions for technology and infrastructure development through 2035
Based on the new demands created by agentic AI, Huawei has outlined 10 key directions for the development of technologies and infrastructure through 2035:
- AI with greater autonomy and expanded capabilities
The development of Artificial General Intelligence (AGI) will rely on systems capable of understanding, learning, and executing a far broader range of tasks. Achieving this will require further advances in linguistic, embodied, and scientific intelligence.
- Dramatically greater computing power at lower cost
The growing demands of AI require significantly more computing power. Huawei estimates that computing clusters will need to scale up by a factor of 100, while the cost of executing tasks by AI agents must be reduced by up to 1,000 times. Systems such as SuperPoDs are expected to play a pivotal role in enabling this shift.
- Systems that don’t just store data, but support knowledge and memory
As AI agents take on increasingly complex tasks, storage systems will need to manage not only data but also knowledge and memory — while ensuring the accuracy and provenance of information.
- Networks designed for the demands of AI
The growing use of AI agents is generating far greater data transfer demands. As a result, artificial intelligence will be increasingly embedded within networks themselves, driving faster, more stable, and more efficient connectivity.
- More efficient chips for the growing demands of AI
Advancing AI requires chips that deliver greater performance with lower energy consumption. Through the Tau Scaling Law, Huawei is exploring new design methodologies that can improve both the speed and energy efficiency of chips.
- Operating systems purpose-built for AI agents
Agent OS represents a new approach to operating systems — one that enables AI agents to coordinate tasks, utilize tools, retain memory, and interface with diverse systems and services.
- AI across more devices and more everyday applications
AI capabilities will extend to an ever-growing range of devices and environments, enabling services to adapt to individual users and operate seamlessly across different platforms and devices.
- Vehicles that continuously learn and adapt
In the field of smart driving, vehicles will develop greater self-learning capabilities and the ability to adapt to surrounding conditions — with safety remaining a fundamental prerequisite for the further advancement of the technology.
- New energy and cooling solutions for AI data centers
The continuous growth of computing power brings correspondingly greater energy and cooling demands for data centers. Advancing AI will therefore require new technologies that enable data centers to support greater computing capacity in a more efficient manner.
- Enhanced security for a world of autonomous AI agents
As AI agents gain greater autonomy and access to data and systems, the requirements for cybersecurity and privacy protection grow in parallel. Developing robust protection mechanisms is a fundamental prerequisite for their wider deployment.
