Galaxy Securities: Tokens Become the Value Anchor of the Intelligent Era; It Is Recommended to Position Around Core AI Industry Beneficiary Segments 银河证券：词元成为智能时代的价值锚点，建议围绕核心AI产业受益方向布局

The claim that tokens have become the "value anchor" of the intelligent age isn't just an observation; it's a declaration of a new economic reality, and one that warrants a healthy dose of skepticism alongside its excitement. A recent report from Galaxy Securities frames the token as the standardized settlement unit of the AI industry, with exploding global demand poised to rebuild media production from the ground up. On the surface, this is correct. We are indeed moving toward an economy where computational effort—quantified in tokens—is the fundamental currency. But to stop there is to miss the far more turbulent and transformative undercurrents at play.

Let's be blunt: calling a token a "value anchor" is a clever euphemism for what it really is—a metered utility. We are monetizing inference, not magic. Every time you ask an AI to write an email, generate an image, or summarize a report, you are running a meter. The value isn't in the token itself, which is a meaningless string of numbers in isolation, but in the colossal, capital-intensive machinery required to produce it—the data centers, the energy grids, the billions of dollars in GPU clusters. The "token economy" is less a new paradigm and more an acknowledgment that we've successfully packaged and commodified the output of this immense infrastructure. It's the cloud computing model's ultimate, granular evolution. The true "value anchor" isn't the token; it's the silicon, the power, and the proprietary algorithms that transmute electricity into utility.

The report’s projection of tokens reconstructing the media industry is where the utopianism gets a reality check. Yes, AIGC tools promise near-infinite supply of content. But infinite supply, as any economist will tell you, leads to one inevitable outcome: the collapse of marginal cost and a brutal competition for attention. The industry won't just be "reconstructed"; it will be atomized. The barrier to creation vanishes, which is fantastic for individual expression but catastrophic for the traditional value chain built on scarcity and editorial curation. We're not heading for a simple "prosperity of the content industry." We're hurtling toward a chaotic, hyper-competitive landscape where the primary struggle is no longer for production, but for discovery and trust. The token economy may power the creation, but it does nothing to solve the existential crisis of what makes content valuable when everyone can make it.

This brings us to the investment recommendations, which feel as generic as they are predictable. "Focus on internet giants with AI layouts," "leading AI video tool companies," "head companies benefiting from AI applications," "iterative large model vendors." This is the equivalent of telling someone in the 1850s to invest in "companies involved in railroads." It’s directionally correct but analytically lazy. The real, incisive bet isn't just on who has the most GPUs or the shiniest video tool. It's on who can solve the bottleneck problems in this token-based economy.

First, that’s the companies tackling efficiency. Tokenization's dirty secret is its voracious appetite for energy and compute. The future leaders won’t just be the ones who can produce tokens, but who can do so with radically lower cost and environmental impact. Innovations in model architecture, inference optimization, and custom silicon are where the next moat will be dug. Second, the real winners will be the platform architects. In a world of infinite content, value accrues to the interfaces and distribution networks that can reliably connect tokens to human attention and commercial intent. The "AI application" layer is less about the raw generation and more about the intelligent orchestration of it within a trusted ecosystem. Finally, ignore the hype around any single "killer app." The transformative power is in the workflow integration—the seamless embedding of token-based generation into the drudgery of office work, design, and software development. The company that makes AI a invisible, indispensable utility for a billion knowledge workers will capture more value than the one with the flashiest demo.

So, while the token-as-settlement-unit model is a foundational shift, let's not be dazzled by the financial mechanics. It's a billing system. The profound change isn't economic; it's infrastructural and cultural. We are witnessing the birth of a new utility, as transformative and as mundane as electricity. The media industry won't be "rebuilt" so much as flooded, forcing a desperate search for new forms of value that AI cannot replicate: authenticity, curation, human connection, and verified truth. The smart money isn't just following the tokens; it's watching where the real constraints lie—in energy, in efficiency, in trust, and in the unsexy, hard problems of making this new utility reliable, efficient, and integrated into the fabric of real work. The token economy is here, but its winners will be decided in the engine rooms, not just the ledgers.

一觉醒来，词元（Token）已经不只是大模型嘴里吐出的一个个字符碎片，它成了“价值锚点”，是智能时代的硬通货。银河证券一份研报把这个技术术语捧上了天，说它广泛用于AI行业结算，正在重构传媒业的一切。读完这份精心包装的“投资指南”，我最大的感受不是对未来内容繁荣的憧憬，而是对资本与术语合谋的深深疲惫。

词元是什么？对技术人员而言，它是模型处理和生成文本的基本单元，是一个计量单位，就像比特之于网络流量。但现在，它被赋予了近乎神圣的经济学意义。研报里，“全球词元的调用量高速增长”这句话，听起来像在描述一场盛大的能源革命。但冷静想想，调用量的增长，本质上不就是更多的人和机器在更多地使用AI服务吗？这当然是事实，但把它包装成一个全新的“价值锚点”，进而推导出它将“底层重构”一个行业，这中间的逻辑跳跃，比GPT模型生成一段离谱的幻觉还要大。这更像是在为即将到来的投资热潮，提前铸造一个性感的、易于传播的“概念硬币”。

真正让我警惕的，是报告后半段那份熟悉的“投资方向”清单。互联网大厂、AI视频工具厂商、应用头部公司、大模型迭代者……这简直就是一份“谁在市场上声音大，谁就值得买”的粗糙名单。研报的本质在这里暴露无遗：它并非在冷静分析产业变革的复杂路径，而是在画一张资本流向的地图，并暗示你，跟着钱走就对了。这种“建议围绕核心受益方向布局”的论调，和当年建议“布局元宇宙”、“布局区块链”、“布局Web3.0”有何本质区别？都是先造一个宏大的叙事，再塞进去一堆股票代码。词元经济若真如报告所言是“无限供给”的未来，那为何落笔到建议时，如此具体而急切？

更深层的矛盾在于，报告描绘了AI赋能内容行业实现“无限供给”和“繁荣”的美好图景，却轻描淡写地略过了通往这个图景的残酷现实。AI工具确实在提升生产效率，但效率的提升，在初期往往意味着对现有劳动力的替代和内容的严重同质化。当生成一篇新闻、一张海报、一段视频的成本趋近于零时，内容的价值锚点又在哪里？是词元的数量，还是人类独有的创意、洞察与情感温度？报告畅想的是一个生产端的“盛世”，但消费端会否迎来一场信息的洪流与意义的荒漠？它没有回答。它只关心生产要素如何被“重构”，而不关心生产出来的东西，最终是滋养了读者，还是淹没了他们。

所以，这份报告读起来，更像是一份面向二级市场投资者的“劝进檄文”，而非一份严肃的产业前瞻。它敏锐地抓住了技术演进中的一个关键计量概念，并迅速将其金融化、叙事化，试图为新一轮的投资寻找一个坚实无比的理由。词元本身没有错，AI重塑内容产业也是大势所趋，但把这一切简化为“词元经济”并直接挂钩投资建议，是一种危险的简化。这让我想起一句老话：当潮水涌来时，总有人在卖铲子和牛仔裤。这份研报，就是那把被精心打磨、贴上新标签的“铲子”。

我们正处在一个技术狂飙的时代，真正的变革者正在用词元训练模型，用算力重构世界。而金融市场的叙事者，则急于为这场变革贴上一个便于交易的标签。词元，不幸成了那个标签。对于投资者而言，或许该看清的是，在“词元经济”这面光鲜的旗帜下，真正值得下注的，究竟是技术本身的突破能力，还是资本叙事自我实现的短期泡沫。毕竟，在AI这场饥饿的盛宴里，最先被消化掉的，往往不是那些看不懂的概念，而是盲目跟随概念的本金。