CITIC Securities: Extension of Industrial and Commercial Land Use Rights Will Help Revitalize Existing Assets 中信证券：工商业土地使用权续期将有助于盘活存量资产

Rivian's CEO is making bold claims again, saying they'll launch a system rivaling Tesla's FSD by the end of the year. Every year, a few newcomers in the autonomous driving space shout from behind Tesla's shadow, as if "FSD" were a technological milestone that could be easily reached just by voicing ambitious goals. The reality is, Tesla has been sprinting for years in data accumulation, algorithm iteration, and mass-production validation—and FSD itself is still far from perfect. Rivian's current delivery volume and data pool might be several orders of magnitude behind Tesla's. This kind of "see you by year-end" rhetoric feels more like a PR strategy to boost market confidence than a solid technical roadmap. In the field of autonomous driving—the most capital-intensive and data-hungry—there are no shortcuts. Every bit of capability is earned through real investment and mile-by-mile road testing. With its factories not even fully utilized yet, Rivian is already painting grand blueprints at the software level. This leap raises more than a few eyebrows.

Shifting focus back to China, CITIC Securities' research report on the renewal of industrial and commercial land feels much more "seasoned" by comparison. The logic is clear: land renewal → revitalizing existing assets → driving revaluation of REITs' underlying assets → benefiting real estate operation and management companies. This is a classic transmission chain from policy expectations to capital markets. Essentially, it's about finding a new sustainable narrative for local finances while creating a financial outlet for vast existing real estate. When incremental development peaks, revitalizing existing assets becomes the story that must be told. Brokerages are always the keenest promoters and beneficiaries in this narrative chain, pointing capital toward the next potential "reservoir." But "revitalization" is easier said than done. Can the value of old factories and inefficient industrial parks in cities truly be "revalued" with just a renewal document? Enhancing spatial efficiency involves systemic revolutions in industrial upgrading, business renewal, and operational capabilities—far more than financial engineering alone can achieve. Capital's imagination always outpaces real-world transformation.

Glancing at trending topics, we can piece together a more vivid industry portrait. "Zhipu's stock surges" shows the large-model race still excites capital; "price wars lose effectiveness" reveals the auto industry, after intense competition, finally feeling diminishing marginal returns; "hesitant to wear $10,000 smart glasses outside" exposes the awkward gap between hardware innovation and user experience/social acceptance. Perhaps the most thought-provoking is "Fable 5 suddenly banned, nearly derailing Anthropic's conference," which uncovers a core contradiction: as AI models try to become more human-like and creative, they may first bump into real-world rules and taboo boundaries. A near-"crash" almost disrupted an important tech conference, and this episode illustrates the complexity and urgency of AI governance more vividly than any white paper.

Today's tech industry is full of such dichotomies. On one side, there are Rivian-style, future-facing radical promises; on the other, the practical calculations of seeking certainty in existing assets, like land renewal. On one hand, large-model company valuations soar into the clouds; on the other, specific smart hardware is too awkward to wear in public. Capital markets need narratives—whether about disruptive technology fantasies or secure logic of asset revaluation. But between stories and real products, experiences, and profitability, there's often an ocean-wide gap. As observers, perhaps we should listen less to CEOs' bold claims and pay more attention to actual delivery data and user feedback; trust fewer financial blueprints drawn by brokerages and care more about the real transformation of spaces in city corners. Amid the noise, those who survive will ultimately be the long-term players who respect the uphill climb of technology, basic business logic, and user experience and social acceptance. Otherwise, no matter how many times they say "rivaling" or "revitalizing," it will just be empty talk carried on the wind.

Rivian的CEO又出来放卫星了，声称年底就能推出媲美特斯拉FSD的系统。每年都有那么几家新势力，在自动驾驶赛道上对着特斯拉的背影隔空喊话，仿佛“FSD”是一个只要喊出口号就能轻易追上的技术里程碑。现实是，特斯拉在数据积累、算法迭代和量产验证上已经狂奔多年，FSD本身也还远未完美。Rivian目前的交付量和数据池与特斯拉相比，可能还差着几个数量级。这种“年底见”的豪言壮语，更像是一种提振市场信心的公关策略，而非扎实的技术路线图。在自动驾驶这个最烧钱、最需要数据喂养的领域，没有捷径，每一分能力都是用真金白银和道路测试一公里一公里跑出来的。Rivian的工厂还没完全填满，就开始描绘软件层面的宏伟蓝图，这种跳跃，多少让人心里打个问号。

把视线拉回国内，中信证券那篇关于工商业土地续期的研报，读起来就显得“老成”许多。研报的逻辑很清晰：土地续期 → 盘活存量资产 → 推动REITs底层资产重估 → 利好不动产运营管理企业。这是一条非常经典的、从政策预期到资本市场的传导链条。本质上，这是在为地方财政寻找新的可持续性叙事，也是在为庞大的存量不动产寻找金融化的出口。当增量开发见顶，存量盘活就成了必须讲述的故事。券商永远是这条故事链上最敏锐的鼓吹手和受益者之一，它们为资本指明了潜在的下一个“蓄水池”。但“盘活”二字，说来轻巧。城市里那些老旧的厂房、低效的工业园，其价值真的仅靠一纸续期文件就能“重估”吗？空间效率的提升，背后是产业升级、业态焕新和运营能力的系统性革命，远不是金融工程单方面就能完成的。资本的想象，总是比现实的改造要快得多。

再看看热榜上的碎片，拼凑出一幅更生动的行业群像。“智谱股价暴涨”——大模型赛道的故事依然能让资本肾上腺素飙升；“价格战失效”——汽车行业在卷到极致后，终于开始痛感边际效益递减；“近万元智能眼镜不敢戴出门”——则暴露了硬件创新在用户体验和社交接受度上的尴尬断层。最耐人寻味的或许是那条“Fable 5突遭封禁，Anthropic大会差点黄了”，这揭示了一个核心矛盾：当AI模型试图变得更像人、更具创作力时，它可能首先触碰到的是现实世界的规则和禁忌边界。一次潜在的“翻车”，差点搅黄一场重要的技术大会，这个插曲比任何技术白皮书都更生动地说明了AI治理的复杂与紧迫。

当前的科技行业，充满了这种分裂感。一边是Rivian式的、面向未来的激进许诺，另一边是土地续期这类、在存量中寻找确定性的现实算计。一边是大模型公司估值冲上云端，另一边是具体的智能硬件因怕尴尬而不敢出门。资本市场需要故事，无论是关于颠覆性技术的狂想，还是关于资产重估的稳妥逻辑。但故事与真实的产品、体验和盈利能力之间，往往隔着太平洋那么宽的距离。作为观察者，我们或许该少听一些CEO的豪言壮语，多看一些实际的交付数据和用户反馈；少迷信一些券商描绘的金融蓝图，多关心城市角落里那些空间真正的蜕变过程。喧嚣之下，能活下来的，终究是那些尊重技术爬坡规律、尊重商业基本逻辑，也尊重用户体验与社会接纳度的长期主义者。否则，再多的“媲美”与“盘活”，也终将是风中传来的、一阵热闹的空话。