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Every leap forward in civilization has been paired with technological exploration. The drive to explore is a core part of human nature. It encourages us to push the boundaries of knowledge and technology and is leading us toward a more intelligent world. Generative AI is opening up possibilities that we couldn't imagine before. And so we must continue looking towards the future and build new scientific visions and assumptions.
—David Wang, Executive Director of the Board, Huawei
Advancing with AI
Going physical: The essential path to AGI
Going physical is pivotal for achieving AGI, as it enables physical entities of AI to interact in real time with their environments, to perceive, cognize, make decisions, and take action on their own. This will allow AI agents to perceive the world like humans, grow through interactive learning, better adapt to their environment, and handle complex tasks. We will need to develop three engines (a data-driven experience engine, a rule-driven idea engine, and an action engine) to support a high-fidelity world model and lay a foundation for AGI.
AI agents: Driving an industrial revolution as both tools and decision-making partners
Over the coming decade, the relationship between humans and AI agents will evolve from simple collaboration to a symbiotic partnership. These agents will be more than just advanced productivity tools; they will be new collaborators in the ongoing evolution of civilization and drive a paradigm revolution across industries. During this process, we must ensure that AI agents are developing for the good of humanity, as this is the only way humans can maintain control over the intelligent world.
Human-AI programming: Reshaping the future of software
Digitalization and intelligence are scaling up software projects, while human factors significantly complicate software engineering. These are the two key drivers behind human-AI programming. Software will comprise of more than just programs, also incorporating neural network models and agents. Human-AI programming will drive a systemic shift in software development, including in entry points, roles, processes, architecture, security, quality, ecosystems, platforms, organizations, tools, and collaboration.
Dimensional evolution of AI in the mirror world: Enabling new interactions and immersive experiences
Today, advances in AI, spatial computing, XR, and other cutting-edge technologies are blurring the boundaries between the physical and digital realms. This convergence will define user experiences in the future world. This trend will not only redefine how people access information and communicate, but reshape the very foundations of how we work and live. Smart devices will evolve from simple information carriers into bridges that seamlessly connect the digital and physical worlds. They will become the gateway where carbon-based life and silicon-based intelligence converge, enabling new forms of perception and interaction.
The mobile Internet: From standalone apps to multi-agent collaboration
As AI agents advance, the mobile Internet will evolve into AI agents or atomic services. Through interconnected collaboration, these agents will break through the limitations of individual agents, and work together to handle complex tasks. This will foster a new ecosystem that thrives on multi-agent collaboration. The human-computer interaction paradigm will evolve towards spatial multimodal interaction with SMUI. End-to-end task execution success rate will be a key metric for user experience, giving rise to a new mobile Internet business model.
Embodied AI: Bridging gaps to create trillion-dollar industries
Embodied AI is a key milestone in extending AI into the physical world. It is about holistic integration of AI, perception and interaction, computing and storage, communications networks, power electronics (batteries, motors, and controllers), and other multiple domains. This integration enables AI to take on a physical form and support real-time interactions that transcend purely software-based intelligence. With a physical embodiment, AI can autonomously perform complex tasks like grasping, moving, and manipulating objects in the real world, while continually optimizing decisions based on dynamic feedback from the environment. Embodied AI serves as a critical bridge between AI technology and practical applications. It is a major step towards AGI.
Beyond von Neumann architecture: Rethinking computing to meet endless demand
The growing demand for computing will lead to energy efficiency and cost challenges. So technology-wise, the industry will first strive to extend Moore's Law. Following this, the industry will gradually phase out von Neumann architecture and come up with brand-new computing paradigms. This evolution won't arise from a single breakthrough. It will hinge on ground-breaking innovation in four key areas – semiconductor materials and devices, process techniques, computing architecture, and computing paradigms – and forging a new computing ecosystem that's better equipped to thrive in the post-Moore age.
Data as intelligence: Paradigm shifts in storage with agentic AI
The value of data will be no longer just defined by the data volume and storage formats. New value differentiators will be technologies that turn cold data into warm data, supply the right types of data for the right scenarios, and support semantic storage. When this happens, data will become more than just memories, but a new type of fuel that propels human progress. Storage systems will evolve from data warehouses to engines that drive AI advancements. Data, plus computing power and algorithms, will remain key pillars of our future intelligent world.
Agentic Internet: A proxy for intelligent interaction between the physical and digital realms
By 2035, the global population will reach 9 billion and be served by 900 billion AI agents. Therefore, communications networks will need the capacity to connect every person on Earth as well as a staggering 900 billion agents. Connecting these agents will require an entirely new type of network that we define as the "agentic Internet". To address the 100-fold increase in data traffic in the next 10 years, the wireless, optical, and data communications sectors will need to develop innovative systems-engineering approaches if they are to build intelligent, ultra-broadband, and green networks.
Energy tokenization: An intelligent energy nervous system
Tokens in future energy networks will become a foundational element of energy management. With AI4Energy, every joule of energy can be tokenized and imbued with human intent. This will allow every basic component within the energy network to perceive, decide, and act. This innovation will revolutionize energy carriers. Tokenization will be a major trend for future energy networks. Tokenized energy networks, together with communication technologies (neural networks), Internet of Things (nerve endings), and blockchain technologies (memory systems), will create a comprehensive energy nervous system.
Succeeding with AI
Healthcare
Healthcare will shift from treatment to protection, and extend beyond institutions to become boundless. Health will be decomposed into manageable digital units, with AI enabling proactive sensing and intelligent intervention. The vast majority of diseases will become predictable, repairable, and curable. Silicon-based technologies will create possibilities for life enhancement and extension. The healthcare system will be integrated into intelligent urban infrastructure, becoming a fundamental capability underpinning humanity. Intelligent healthcare is reshaping the new landscape of future health.
Education
AI is expected to be deeply integrated into education, creating a new model for man-machine collaboration in the sector. ICT will play a key role in the upcoming age of intelligent education. AI will be used to improve teaching resources, refine teaching models, and create intelligent learning environments. This will take equality and quality to new heights, making education more personal and driving a new wave of societal development.
Mobility
The focus of mobility services is shifting from providing efficient movement to enabling optimal travel experiences. By applying advanced ICT to intelligent modes of transportation, Mobility as a Service (MaaS) will enable integrated transportation systems comprised of robotaxis, public transit networks, and air taxis to offer one-stop, personalized mobility solutions. These solutions will turn boring commutes into efficient and enjoyable travels, thus creating greater value and shaping a human-centric future for urban life.
Diets
Smart farms will use technologies like IoT, AI, and blockchains to overcome the limitations of conventional farming, enabling intelligent, precise, and efficient agricultural production. This will be key to ensuring secure, sustainable food production around the world. In addition, the integration of genomics, AI, and smart wearables will pave the way for personalized nutrition management systems. With tailored dietary recommendations and management, these systems will help individuals stay healthy.
Homes
In the future, homes will evolve from simple living spaces into smart environments that understand us. Holographic technologies will transform homes into truly dynamic, immersive living spaces. Additionally, intelligent robots will become an integral part of every family, allowing people to enjoy a more efficient, personalized, and comfortable life.
Manufacturing
The manufacturing industry landscape will be redefined by the deep convergence of Design for Manufacturing (DFM), intelligent manufacturing, and Manufacturing as a Service (MaaS). AI-powered generative design and digital twins will enable optimal design, slashing R&D cycles from days to hours and enabling the creation of millions of personalized configurations. Intelligent factories capable of human-machine collaboration will realize flexible, unmanned production, significantly boosting production efficiency. And as customers participate throughout the design and manufacturing process, companies will shift their focus from product delivery to service co-creation, which will foster a transparent, collaborative, and continuously evolving industrial ecosystem.
Finance
Financial institutions will create a "financial confidant" for every client, which will provide highly-personalized client-centric services 24/7. Additionally, financial institutions will leverage AI to empower business operations from end to end, and establish a new "human + agent" collaboration model characterized by "one position, one agent" in domains like tech, inclusive, and green finance. This will improve both the quality and efficiency of business operations. As agents are adopted in all aspects of financial operations, an all-domain risk control framework must be developed to ensure AI applications are secure, reliable, and compliant with laws and regulations.
Electricity
Solar and wind will account for more than 50% of total electricity generation thanks to cost-effectiveness and large-scale breakthroughs in energy storage, freeing the world from dependence on fossil fuels. Grid forming technology will solve the challenge of renewable energy fluctuations; quantum computing will enable intelligent dispatching to ensure reliable power supply; electric vehicles will become mobile energy storage units; and data centers will become flexible loads. This source-grid-load-storage transformation will reshape the operation logic of the power system.
Logistics
Intelligent logistics will become the control hub of the global supply chain, and the integration of cutting-edge information technologies and intelligent equipment will reshape logistics systems. AI will be employed to ensure that all goods are precisely delivered to specified destinations from the optimal departure location at the optimal time, through the most appropriate carrier and transportation mode. Such enhancements will help create an efficient, green, and reliable logistics ecosystem.
Mining
Advanced technologies such as quantum computing and nanotechnology are becoming deeply integrated into the oil, gas, and mining sectors. At the same time, AI is evolving from a supporting tool into the core driver of industrial transformation. Intelligent technologies are now set to reshape the mining landscape across the entire exploration, extraction, and production chain. Through innovations like holographic exploration, downhole factories, and unmanned mining sites, the industry will achieve technical breakthroughs in geological visualization, factory-style mining, and unmanned production.
Cities
Smart technologies will not merely be technological tools, but partners for urban development. These technologies will permeate the very fabric of urban life, transforming cities from collections of functions into adaptive living organisms. With city-level AGI as the blueprint, data as the connection between city-level AGI and urban infrastructure, and intelligent infrastructure as the foundation, cities will be able to intelligently transform.
Symbiosis with AI
AI for good
In a human-machine symbiosis model, AI would collaborate with humans to develop wisdom for long-term development. AI ethics is about ensuring AI serves humans, not the other way around. AI cyber security is the foundation of using AI for good. It hinges on three fundamental pillars: ICT infrastructure security, single-agent security, and multi-agent security. Governance is also key to ensuring AI cyber security.
AI for all
A human-centric approach to AI is key to making the benefits of technology accessible to all and driving sustainable development worldwide. AI for all means that AI benefits everyone regardless of race, gender, region, economic status, or educational background.
