开放网络日益恶化，搜索引擎不断萎缩，大语言模型崛起，超个性化浪潮汹涌，旧有收入模式正在瓦解。
the open web deteriorating, search shriveling, LLMs rising, hyper-personalization surging, old revenue models breaking.
- 人工智能可能完成算法开启的事业：彻底颠覆我们所熟知的新闻业。唯一确定的是：接下来发生的变化，将与数字时代前后一样天差地别。
• AI threatens to finish what the algorithms started: wholly upending journalism as we know it. The only certainty: What follows will be as different as the pre- and post-digital eras.
- 在过去两年对人工智能进行研究和实验之后，我们正就严肃新闻如何在人工智能世界中蓬勃发展做出一系列重大押注。
• After studying and experimenting with AI for the past two years, we're placing a series of big bets on how serious journalism can flourish in an AI world.
核心构想：我们相信，经过核实、报道和独具特色的真相，以及由人策划的人际连接，其价值将急剧上升。对人际连接的渴望，以及对人类专业能力的需求，只会不断增加。
The big idea: We believe the value of verified, reported, distinctive truth and curated human connection will spike. The yearning for human connection, and demand for human expertise, will only increase.
在Axios，我们正在做的，正是十年前创办时以及二十年前在Politico时所做的事：朝着技术和世界前进的方向布局。
At Axios, we're doing what we did a decade ago when we launched, and two decades ago at Politico: building for the direction that technology and the world are headed.
- 我们分享自己的论点——以及我们的计划——以帮助激发全行业更深入的讨论，探讨如何在即将到来的变革中守护媒体最精华的部分。其中一些内容存在争议，或者基于我们自己的假设。我们欢迎反驳意见。
• We're sharing our thesis — and our plans — to help spark deeper industrywide debate about preserving the best of media in what's to come. Some parts are controversial or based on our own assumptions. We welcome the pushback.
接下来会发生什么：我们假设，爱因斯坦级别的智能将就所有话题向所有人提供。我们设想，媒体消费将转向新的AI平台和设备，这些平台和设备对我们的了解，如同我们对自己的了解一样深入。我们的生活和思想将被超乎想象地精心策划。我们的知识、习惯、品味和工作将完全融入我们的屏幕、胸针或手环之中。
What's next: We assume Einstein-level intelligence will be available on all topics to all people. We envision media consumption shifting to new AI platforms and devices that know us as intimately as we know ourselves. Our lives and minds will be curated beyond imagination. Our knowledge, habits, tastes and work will fully fuse into our screens, or pins, or bracelets.
这一即将到来的现实中最大的威胁：当人们的人工智能在他们想知道的时候告诉他们需要知道的事情，谁还需要记者提供的“新闻”？
The biggest threat in this coming reality: Who needs "news" from journalists when their AI tells them what they need to know, when they want to know it?
- 事实上，我们假设被动的新闻消费者会发现人工智能的策划完全令人满足，就像他们过去刷信息流一样。因此，泛泛而缺乏特色的新闻将逐渐枯萎。
• Indeed, we assume passive news consumers will find AI curation fully satiating, much like they did scrolling. So general, indistinctive news withers.
- 但对于严肃的新闻消费者——那些经常寻求关于其世界、热情所在和社区的高质量信息的人——对经过人工审核和人工核实内容的需求将激增。
• But for serious news consumers — those who routinely seek out high-quality information about their world, passions and community — the demand for human-vetted and human-verified content will surge.
- 这对消费者和企业同样适用：他们需要超出机器单独提供的洞察，以及经过验证的新闻——以及人类受众。他们将要求的内容超出 AI 能提供的范围。这对 Axios 的意义何在
• This holds true for both the consumer and for businesses: They'll need insight beyond what everyone else gets from the machines alone as well as verified news — and human audiences. They'll demand more than AI can give them. What this looks like for Axios
- 利用 AI 拯救本地新闻业并服务社区。借助遍布全国 100 多名 Axios Local 记者的力量，我们即将推出一个 Axios Local “超级系统”，该系统使用 AI 跟踪政府行动、社区数据和即将发生的事件。这将为本地记者争取更多用于本地报道的时间。我们希望超级系统能够让我们在数百甚至数千个社区雇佣记者，重振这一本已濒临死亡的行业。这将成为利用 AI 大规模创造新闻岗位、实现公共利益的最具影响力的案例之一。它的规模堪比最初的 Axios，是 AI 正面价值的绝佳示例。
• Harnessing AI to save local journalism and serve communities. Adding to the power of the 100+ Axios Local journalists coast to coast, we'll soon unveil an Axios Local "Super System" that uses AI to track government action, community data and coming events. This will give local reporters more time for local reporting. We hope the Super System will allow us to hire journalists in hundreds, even thousands, of communities and revitalize a dying industry. This will be among the most consequential examples of using AI to create journalism jobs and do public good at scale. It's as big as the original Axios, and a great example of AI's upside.
- 超前布局 AI 内容策划。我们正在推出基于主题之外，还基于职务的特定产品。我们首先面向高层，推出面向首席执行官、首席营销官、首席传播官、首席运营官、首席财务官以及其他 C‑suite 高管的新垂直领域。所有岗位的变化速度都快于任何人能够处理的速度。因此，从这一视角理解 AI 与新闻至关重要。AI 提示中最常见的组成部分之一就是说明你的身份。因此，我们的产品面向当下及即将到来的大型语言模型（LLM）转变进行设计。我们还将继续向新细分领域扩展，例如面向未来的太空防御，所有内容均由具备深厚专业知识的记者撰写。
• Jumping ahead of AI curation. We're launching specific products based not just on topics but also job titles. We're starting at the top with new verticals for CEOs, CMOs, CCOs, COOs, CFOs and other C-suite executives. All jobs are changing faster than anyone can process. So understanding AI and news through this lens will be vital. Among the most common components of an AI prompt is stating what you do. So our products are designed for today and the coming LLM shift. We'll also keep expanding into new niches, like future-focused space defense, all written by journalists with deep subject matter expertise.
- 超越开放网络。搜索正在衰退，机器人正在污染网络。因此我们创建了新业务线 Axios Direct，向企业和其他机构出售经过筛选的新闻和信息的清洁实时数据流。公司正在构建自己的大型语言模型，并付费获取真正优质的报道，这开辟了激励质量的新收入渠道。我们希望帮助清理信息生态系统：第三方数据表明，Axios 的格式和“专家优先”方式使我们在 AI 结果中表现出色。我们还在与组织合作，以更适合大型语言模型的方式重构其内容，减少 AI 中关于其工作和产品的错误信息。
• Shifting beyond the open web. Search is dying and bots are polluting the web. So we've created a new business line, Axios Direct, to sell clean, real-time feeds of our vetted news and information to businesses and others. Companies are building their own LLMs and pay to ingest truly great reporting, opening a new revenue stream that incentivizes quality. We want to help clean up the information ecosystem: Third-party data shows the Axios format and expert-first approach help us overperform in AI results. And we're working with organizations to restructure their own content in more LLM-friendly ways to reduce misinformation about their work and products inside of AI.
- 加速人际连接。我们相信人际连接正处于复兴的边缘：AI 越好，人们越渴求并追求面对面的交流。因此我们大幅扩展全球、全国和本地活动，并尝试在大小社区举办晚宴和聚会。Axios 社交俱乐部最近在 40 个 Axios Local 市场召集了超过 1,300 名读者，与邻居共进晚餐。这就是 Axios 在现实生活中的力量。
• Accelerating human connection. We believe we're on the verge of a renaissance in human connection: The better AI gets, the more people will crave and pursue in-person connection. So we're vastly expanding our global, national and local events, and experimenting with hosting dinners and meet-ups in communities big and small. The Axios Social Club recently brought together more than 1,300 readers in 40 Axios Local markets for dinner with their neighbors. That's the power of Axios in real life.
不变的原则：新闻只有在被信任、实用且发人深省时才有价值。只有记者能够让人们分享或泄露信息，全面理解来源和故事的细微差别，追究责任，并基于数据和人与人之间的互动提供深入分析。
What won't change: Journalism is only valuable when it's trusted, useful and illuminating. Only reporters can get people to share or leak information, fully understand the nuance of sources and stories, demand accountability, and offer deep analysis based on both data and person-to-person interactions.
- 我们有责任，甚至道德义务，保护并扩大这项关键报道。以 AI 速度改变的世界需要这一点。未来的 Axios
• We have a responsibility, even moral obligation, to protect and expand this vital reporting. A world changing at AI speed demands this. Axios of the future
Axios 2028：快进两年。Axios 深入报道最重要的话题、职业和社区，拥有美国最广泛的新闻存在。我们在各地都有记者在现场，是最受信赖的人类筛选、人工核实的新闻和信息来源。
Axios 2028: Fast-forward two years. Axios is deep into covering the most important topics, jobs and communities, with the widest journalistic presence in America. With boots on the ground everywhere, we're the most trusted human source of human-vetted and human-verified news and information.
- 我们正在将人们与真相、思想以及彼此连接起来。我们正在证明，位于 AI 之上、超越 AI 之外的“人工层”既是必要的，也具有商业价值。我们在坚守将 Axios 带入这一新愿景和使命的价值观与伦理的同时，实现了规模化发展。AI 在每个部门的各个层面得到应用，旨在传播经人工核实的真相。
• We're connecting people with truth, ideas and each other. We're proving the need and business value of the human layer sitting above and beyond whatever AI brings. And we're doing this while scaling the values and ethics that brought Axios to this new vision and mission. AI is leveraged at every level of every division in pursuit of spreading human-vetted truth.
内容消费实现了完全个性化，并由 AI 与新型设备全程编排。从开放网络向大语言模型的转变已告完成。经济条件与技术能力使令人惊叹的个性化成为可能：他们的公司、他们的董事会、他们的竞争对手、他们孩子所在的学区、他们的个人热情。
Content consumption is fully personalized and fully orchestrated by AI and new devices. The shift from open web to LLMs is complete. The economics and capability allow for mind-blowing personalization: their company, their board, their competitors, their kid's school district, their personal passions.
- 大多数内容被混合汇聚进个性化的 AI 信息流，不断调整适配以契合受众的思维与兴趣。人们将渴望独特性与连接。Axios 将在大语言模型内部和外部为他们提供服务，通过线下实体活动，或许还包括超出 AI 触及范围的加密信息流。
• Most content is commingled into individualized AI feeds, constantly adapting to match minds and interests. Humans will crave distinction and connection. Axios will serve them inside the LLMs and outside, in physical events and perhaps encrypted feeds beyond AI's reach.
核心观点撰写这一宏大展开的变革，让人感觉充满未来感，甚至有些怪异。但变革的速度只会加快。媒体行业与所有行业一样，拥有适应变化的时间窗口很短。
The bottom line It feels futuristic, even weird, to write about this titanic unfolding shift. But the velocity of change will only intensify. Media, like all industries, has a short window to adapt.