互联网和社交媒体的兴起重新定义了品牌如何与全球数十亿用户联系。

在一定程度上，数字生态系统是精心设计的，以分散注意力。

The rise of the internet and social media has transformed how brands engage with billions of users around the globe. In this interconnected realm, there’s a constant competition for users’ attention.

互联网和社交媒体的兴起改变了品牌如何与全球数十亿用户互动。在这个相互联系的领域中，有一个不断的竞争引起用户的关注。

This is especially pertinent in today’s digital ecosystem, which is meticulously engineered for distraction. From the endless stream of notifications to advertisements and content designed to maximize clicks over user needs, the landscape is littered with attempts to capture attention at every turn.

这在当今的数字生态系统中尤其相关，该生态系统经过精心设计的干扰。从无休止的通知流到旨在最大程度地点击用户需求的广告和内容，景观乱扔垃圾。

A 2020 study by The Economist Intelligence Unit found that 28% of working hours in the U.S. in knowledge work are lost to distraction, highlighting the economic effect of this relentless pursuit of attention.

经济学家情报部门的一项2020年的研究发现，在美国的知识工作中，有28％的工作时间因分心而丧失，强调了这种不懈的追求关注的经济影响。

However, this race has led to significant cognitive, financial and social costs, warranting a shift toward a more user-centric framework: the intention economy.

但是，这项种族导致了巨大的认知，财务和社会成本，因此必须转向以用户为中心的框架：意图经济。

The mechanics of the attention economy

注意经济的机制

Digital platforms are designed to capture and retain user attention and lead them through a series of dopamine-generation mechanisms. Algorithms prioritize addictive content to ensure users stay engaged and keep returning to their platform.

数字平台旨在捕获和保留用户的关注，并引导他们通过一系列多巴胺生成机制。算法优先考虑成瘾性内容，以确保用户保持参与并继续返回其平台。

For example, a Google search for travel insurance will yield results skewed by SEO practices and paid advertisements, often pushing users toward suboptimal choices. Similarly, though seemingly helpful, price comparison websites prioritize results based on auction placements rather than genuine relevance. There is a focus on expediency rather than accuracy when serving the user.

例如，Google搜索旅行保险将产生SEO实践和付费广告偏向的结果，通常会将用户推向次优选择。同样，尽管看似有用，但价格比较网站基于拍卖位置而不是真正的相关性来优先考虑结果。在为用户服务时，专注于权宜之计而不是准确性。

This misalignment between user intent and system design is economically expensive. The 2020 Economist Intelligence Unit study estimated that distractions cost the U.S. economy $391 billion annually in lost productivity.

用户意图和系统设计之间的这种错位在经济上很昂贵。 2020年经济学家情报部门的研究估计，分心使美国经济损失了3910亿美元的生产率。

The cognitive toll

认知损失

An attention-focused digital economy has taken its toll on both users and creators. For users, the constant influx of notifications hurts focus, decreasing productivity and eroding the capacity for deep, critical thinking. A study by King’s College London found that 51% of respondents believe technology affects young people’s attention spans.

以注意力为中心的数字经济对用户和创建者都造成了损失。对于用户而言，通知的持续涌入会损害人们的注意力，降低生产率并侵蚀深刻，批判性思维的能力。伦敦国王学院的一项研究发现，有51％的受访者认为技术会影响年轻人的注意力。

Content creators, quality and economics

内容创作者，质量和经济学

For creators, the pressures of the attention economy are equally apparent. Creators are locked into a setup where they must produce a continuous stream of engaging content to maintain visibility and engagement. That often leads to significant stress and burnout.

对于创作者而言，注意经济的压力同样显而易见。创作者被锁定在设置中，必须在其中产生连续的引人入胜的内容来保持可见性和参与度。这通常会导致巨大的压力和倦怠。

Creators are forced to deliver sensationalist and low-quality content. They may resort to clickbait titles, thumbnails or controversial topics to attract views, often at the expense of accuracy and depth.

创作者被迫提供耸人听闻的和低质量的内容。他们可能会诉诸点击标题，缩略图或有争议的主题，以吸引视图，通常以准确性和深度为代价。

The monetization models driving the attention economy disadvantage smaller and newer creators. Revenues depend on engagement metrics, which can be disproportionately influenced by platform algorithms favoring already popular and trending content. That creates economic disparities, where a small percentage of top creators capture the most attention.

货币化模型推动了注意力经济不利的较小和较新的创作者。收入取决于参与度指标，这可能会受到平台算法的影响不成比例的，这些算法偏爱已经流行和流行内容。这造成了经济差异，其中一小部分顶级创作者吸引了最大的关注。

Post Web and the intention economy

发布网络和意图经济

Enter the Post Web, a paradigm that replaces the attention economy with the intention economy. This vision, outlined in Outlier Ventures’ seminal work, leverages intent-driven AI agents to create hyper-contextual, value-driven interactions.

输入邮政网，这是一种范式，可以用意向经济取代注意力经济。在Outier Ventures的精确工作中概述了这种愿景，利用意图驱动的AI代理创建超紧张的，价值驱动的相互作用。

The Post Web thesis focuses more on the quality than the quantity of digital content. It achieves that by aligning digital infrastructure around user intent and empowering individuals to delegate complex tasks to autonomous agents.

网络论文论文比数字内容的数量更多地关注质量。它实现了通过将数字基础架构调整为围绕用户意图的数字基础架构，并使个人有能力将复杂的任务委派给自主代理。

In the insurance example discussed above, an AI agent in the intention economy could compare policies across multiple criteria, such as coverage for specific user activities, their preferences and real-time weather conditions. By automating this process, the intention economy reduces the user’s cognitive load and ensures optimal outcomes.

在上面讨论的保险示例中，意图经济中的AI代理可以比较跨多个标准的政策，例如针对特定用户活动，其偏好和实时天气条件的保险。通过自动化此过程，意图经济减少了用户的认知负担并确保最佳结果。

Implementing user-centric design

实施以用户为中心的设计

Transitioning to the intention economy necessitates rethinking digital design principles. The Post Web’s infrastructure enables AI agents to act on behalf of users, seamlessly integrating distributed ledger technology (DLT) for trust and verifiability. The Post Web is intent-based and deterministic, yet adaptive, verifiable and hyper-contextual.

过渡到意图经济需要重新思考数字设计原则。邮政网络的基础架构使AI代理可以代表用户行动，无缝整合分布式分类帐技术（DLT），以实现信任和验证性。帖子网络是基于意图的，确定性的，但自适应，可验证和超文本。

User interactions in the Post Web are guided by AI agents capable of interpreting nuanced intents. AI agents eliminate the need for manual, repetitive actions, creating a frictionless digital experience. DLT ensures that these interactions remain secure, transparent, and trustworthy. This integration of AI and blockchain unlocks a new efficiency level, making the intention economy not just possible but inevitable.

邮政网络中的用户交互是由能够解释细微差别意图的AI代理指导的。 AI代理消除了对手动，重复动作的需求，创造了无摩擦的数字体验。 DLT确保这些互动保持安全，透明和值得信赖。 AI和区块链的这种整合释放了新的效率水平，使意图经济不仅可能而且不可避免。

The role of AI

AI的角色

AI is pivotal in enabling the intention economy by personalizing interactions and optimizing decision-making processes. In the Post Web, AI agents can dynamically adjust their behavior based on personalized real-time data, ensuring user outcomes align closely with their needs.

AI通过个性化互动和优化决策过程来使意图经济成为关键。在帖子Web中，AI代理可以根据个性化的实时数据动态调整其行为，从而确保用户的结果与他们的需求紧密相符。

This level of personalization requires robust safeguards to ensure privacy and prevent misuse. The Post Web addresses this challenge through privacy-preserving technologies and decentralized frameworks, ensuring user sovereignty remains paramount.

这种个性化水平需要强大的保障措施，以确保隐私并防止滥用。 Web Web通过保护隐私技术和分散框架来解决这一挑战，从而确保用户主权仍然至关重要。

Overcoming challenges

克服挑战

While the intention economy offers advantages, its implementation is not without hurdles. Balancing personalization with privacy, addressing ethical considerations in AI design, and reengineering economic models that profit from attention are complex challenges.

尽管意图经济具有优势，但其实施并非没有障碍。平衡个性化与隐私，解决AI设计中的道德考虑以及重新设计从注意力中获利的经济模型是复杂的挑战。

A collaborative effort across all key actors in the digital economy is needed to make this a reality. Transitioning to a user-centric framework requires initiative across technology providers, policymakers and users.

需要在数字经济中的所有主要参与者进行合作努力，以使其成为现实。过渡到以用户为中心的框架需要跨技术提供商，决策者和用户的倡议。

Critics might argue that AI-driven systems risk reducing human agency by over-automating

批评家可能会争辩说，AI驱动的系统有可能通过过度自动化来减少人类代理