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大模型来了,为什么端到端的智能工厂还没有
经济观察报· 2026-02-06 14:31
制造业本质上是物理变换过程,缺乏对物理环境的感知和执行 能力,AI就无法真正落地。鉴于制造链条涉及多供应商的设备 和机器人,AI需统筹具身智能间的协同,确保顶层集成。 作者: 刘劲等 封图:图虫创意 这两年,汹涌而来的人工智能(AI)浪潮让众多制造业企业家和管理层深感焦虑与迷茫。大家普遍意识到AI的重要性:不拥抱AI,担心被时代抛弃, 失去未来发展的入场券;可当真正拥抱AI时,却发现除了简单的应用或依托成熟技术的场景外,企业往往不知从何入手,难以系统性推进,即便尝试 后,效果也与预期相差甚远。麻省理工学院在2025年的一项调研显示,在众多尝试系统性利用AI的企业案例中,仅有约5%取得了成功。 AI在制造业中的应用现状 在理想状态下,端到端的智慧工厂里,AI将全面取代或主导人类在制造业价值链中的角色。从研发、设计、生产、营销到售后服务,所有环节均由AI 驱动或高度自动化。这不仅是为了提升效率,更是要实现无缝、预测性和自适应生产的全智能状态。 然而,理想愿景虽令人向往,但当前制造业的AI应用还远未达到端到端的智慧水平。大多数企业仍处于"点状智能"阶段,AI主要辅助特定环节,而非 系统性主导。 在销售服务环节,由于 ...
大模型来了,为什么端到端的智能工厂还没有
Jing Ji Guan Cha Wang· 2026-02-02 02:37
AI在制造业中的应用现状 在理想状态下,端到端的智慧工厂里,AI将全面取代或主导人类在制造业价值链中的角色。从研发、设计、生产、营销到售后服务,所有环节均由AI驱动 或高度自动化。这不仅是为了提升效率,更是要实现无缝、预测性和自适应生产的全智能状态。 然而,理想愿景虽令人向往,但当前制造业的AI应用还远未达到端到端的智慧水平。大多数企业仍处于"点状智能"阶段,AI主要辅助特定环节,而非系统性 主导。 在研发环节,AI虽能提升研发效率,但对核心创新的贡献有限。研发本质上是突破性创造,而现行AI,如基于规则的系统、机器学习或大模型等,擅长传 统数据分析、模式识别等,并非原创。AI在辅助研究方面表现出色,例如利用大语言模型总结学术进展。又如谷歌DeepMind的GNoME工具,在2023年 《Nature》论文中披露,通过图神经网络发现了超过528种潜在锂离子导体,数量相当于此前发现总量的25倍,有助于提升电池性能。不过,这些均属于辅 助范畴,核心创新仍依赖人类的直觉。 在设计环节,生成式AI潜力巨大,但应用深度参差不齐。 一方面,AI能快速生成文字、图像、视频,大幅提升平面设计的速度。另一方面,在复杂工业设计,如 ...
汽车视点 | 7年低息购车潮席卷车市,行业格局加速洗牌
Xin Hua Cai Jing· 2026-01-22 07:30
Core Insights - The automotive market is experiencing a significant shift towards innovative financial services, with multiple companies introducing 7-year low-interest financing options to stimulate sales [1][2][3] - The trend indicates a move away from traditional price-cutting strategies, as companies seek to enhance competitiveness through financial promotions [2][3] Group 1: Financial Innovations - Xpeng Motors announced a 7-year low-interest financing plan with monthly payments starting at 1,355 yuan [1] - Geely Galaxy followed suit, offering a similar plan with a down payment starting at 25,800 yuan and monthly payments from 1,999 yuan [1] - Tesla initiated the trend with a financing option for its Model 3 and Model Y, featuring an annual interest rate of approximately 0.98% and monthly payments starting at 2,947 yuan [2] Group 2: Market Dynamics - Over 20 automotive companies have implemented price reductions since the beginning of 2026, but retail sales have not shown significant growth, with a 28% year-on-year decline in passenger vehicle sales from January 1-18 [3] - The retail sales of new energy vehicles also fell by 16% year-on-year during the same period [3] - Regulatory bodies are emphasizing the need to avoid chaotic price wars, aiming to maintain a fair market environment [3] Group 3: Consumer Impact - The 7-year low-interest financing significantly lowers the barrier to vehicle ownership, making it accessible for younger consumers [5] - However, the long loan term introduces uncertainties, as rapid technological advancements may lead to depreciation of vehicles, potentially resulting in negative equity [5] - The extended repayment period requires stable financial conditions, as any significant changes could create financial pressure [5] Group 4: Industry Challenges - Companies face challenges in cash flow management due to the extended repayment period associated with 7-year financing [4] - Financial reports indicate that companies like Xpeng and Li Auto are experiencing thin profit margins, with Li Auto reporting its first quarterly loss [4] - The long-term viability of low-interest financing strategies may lead to a "sell one at a loss" scenario for brands with already tight margins [4] Group 5: Competitive Landscape - The shift towards 7-year financing may accelerate industry consolidation, favoring companies with strong technological foundations [6][7] - Non-leading brands may struggle to balance the costs of low-interest financing with the risk of declining sales if they do not adopt similar strategies [6] - Ultimately, the competitive edge will rely on technological innovation rather than financial gimmicks, as the market will revert to valuing product quality and user experience [6][7]