随着数字经济的蓬勃兴起，AI技术正加速从虚拟空间向实体经 济领域拓展，机器人作为AI技术的理想载体，凭借其高度的灵活性 和强大的适应性，正在迅速发展并广泛应用于各个行业，成为推动产 业升级和变革的重要力量。工业领域自动化基础良好、环境结构化程 度高且市场需求大，成为近期“机器人+人工智能”应用落地的首要 方向。凭借其在提高生产效率、降低人力成本、提升产品质量等方面 的显著优势，“机器人+人工智能”正在汽车制造、电子信息、金属 材料等关键行业加速落地，展现出广阔的应用前景。

腾讯的行业大模型报告，通过一手的大量调研，阐释了行业大模型的必要性和发展 路径。报告从应用场景入手，给出了落地的具体实现方式，揭示了大模型在降本提 效、业务创新和体验增强方面的价值，并给出了Agent、多模态、端侧和云智一体 等技术和生态展望，对行业具有很好的借鉴参考价值。

本报告探讨了⼈⼯智能的当前格局，审视其巨⼤潜⼒以及需解决的重⼤⻛险。我们深⼊讨论政府在管理这⼀强⼤技术⽅⾯的⻆⾊，重点关注在利⽤其优势的同时减轻其弊端的策略。确保⼈⼯智能成为促进经济增⻓、社会进步和更可持续未来的推动⼒所需的全⾯⽅法和有效政策和法规⾄关重要。

The EU AI Act centers on ethics, built on the 2019 Ethical Guidelines on Trustworthy AI. It embeds the protection of fundamental rights into law, defining evaluation criteria for high-risk AI systems that pose potential risks to public health, safety, and rights. In governance, it adopts a decentralized regulatory model, establishing the European Artificial Intelligence Office as the central authority to promote international collaboration and diverse participation, ensuring AI development adheres to principles of trustworthiness and compliance.

"Artificial Intelligence (AI) scaling" refers to the process of expanding AI applications across an enterprise to achieve broader and more impactful outcomes. Scaling involves integrating AI into diverse business processes and workflows; ensuring broad adoption of AI across various assets and the entire workforce; enabling seamless integration of AI with existing systems; driving innovation to gain a competitive edge in the market; and improving key performance indicators in other respects.

本报告基于深入的案头审查、对关键信息提供者的访谈以及对政策和实践的审查，探讨了数 字技术给工作安全与健康带来的变化，以及确保这些变化不会导致潜在风险的必要性。 本报告通过提供政策见解、最佳实践和真实案例研究，为政府、雇主、工人和职业安全与健 康专家提供资源，帮助他们驾驭不断变化的工作场所数字安全环境。

This report focuses on the AI opportunities in the automotive industry in 2025, pointing out that AI is evolving from generative to agent-based forms. While its implementation has been slower than expected, its potential remains significant. AI can drive technological innovations such as software-defined vehicles and autonomous driving, and has application scenarios in multiple links of the value chain, including research and development (R&D), production, and beyond. It is expected to bring a 40-60% increase in marginal profits.

How we move through the world—what our industries, businesses and roles demand of us—will shift in a way that hasn’t happened since the birth of the internet. AI models will only get more efficient and faster with better data and feedback, and AI experiences will become so good so quickly that they will permeate throughout our lives in a couple of short years.

具身智能（EAI）是推动通用人工智能（AGI）发展的关键技 术，具有广阔的应用前景。其技术涵盖计算机视觉、自然语言处理和机器人技 术，尤其在具身感知和交互方面表现突出。基于多模态大模型和世界模型的具 身智能体，不仅能够理解并适应复杂的物理和虚拟环境，还能在动态场景中与 人类自然互动，执行复杂任务。

，“人工智能+产业元宇宙”将成为未来数字经济发展的重要方向，两者 的结合将为我们带来前所未有的发展机遇。通过领域大模型的专业知识理解和处理 能力、人工智能AIGC的内容生成能力、产业元宇宙的虚拟空间构建能力、专家数 字人的沉浸式交互能力，为各行各业提供全新的解决方案。