Intentional economy

Introduction

Over the past year, a subtle shift has quietly emerged on the internet. More and more systems are focusing less on how users interact with them and more on the goals users want to achieve. These systems no longer emphasize clicks, steps, or instructions, but rather start from the user's intent.

This is evident in many fields. In finance, users specify the desired outcome, and software executes it. In business, agents negotiate prices and times on behalf of users. In search and efficiency tools, people are increasingly describing their goals rather than browsing menus or workflows.

This shift is often referred to as the "intent economy." It refers to a system where intent becomes the primary input, and execution is delegated to software that competes to satisfy that intent under specific constraints. Until now, much of the internet has been built around the user interface. Users need to translate their needs into actions that the system can understand. This means users need to learn various tools, make choices, and manually weigh the pros and cons.

The change today is that user intent itself is being directly captured and processed. Today, we'll delve into how intent-based systems have emerged on the internet. Most internet systems don't operate directly based on intent, but rather on behavior. When users want to perform an action, they need to express it through a series of steps: searching, clicking, filtering, selecting, comparing, and confirming. Systems don't directly receive explicit instructions from users about what they want to do; instead, they receive signals from user actions and try to infer intent from them. This approach was reasonable when systems were simpler. Back then, the number of options was limited, execution paths were easier to understand, and users could easily translate their needs into actual actions without much effort or risk. However, with the development of the internet, this assumption has quietly become invalid. Markets have become larger and more fragmented. A single outcome often involves multiple locations, prices, and intermediaries. Yet, the interaction patterns remain largely unchanged. Users still need to decide how to accomplish something, even if they lack the information or context needed to make informed decisions. Booking travel, transferring money, buying goods, or coordinating work increasingly require dealing with complexity. Control remains in the user's hands, but their understanding of complexity has changed. Meanwhile, platforms have begun optimizing around content that is easy to monetize. User behavior has become visible, so clicks, engagement, time spent, conversion funnels, and conversion rates have become the main signals of system response—not because they reflect user success, but because they are measurable and monetizable. Over time, these metrics have gradually replaced user intent as the primary optimization target. Systems are better at guiding users through processes than at minimizing the effort required to achieve their goals. The longer and more complex the process, the more opportunities to extract value. Thus, we have an internet where users typically come with a clear goal, but platforms attract them and extend their usage time through various processes and steps. Instead of reducing the amount of work required to achieve their goals, users are forced to compare options, weigh pros and cons, and navigate lengthy paths, even when the software possesses far more data and computing power than the user. The intent has always been there, but it has never been treated as direct input. The system relies on user behavior, not intent, leaving users to handle coordination and decision-making themselves. The friction we see today is not accidental, but a result of the system reacting to behavior rather than acting according to predetermined goals. Making Intent Explicit The key difference between intent-based systems and traditional systems lies not in the different user needs, but in the system's ability to directly receive those needs. When users explicitly express their intent, they no longer need to go through a series of actions to convey their goal; they only need to clearly state the desired outcome and the conditions that must be met. These conditions can be simple, such as a price cap, time limit, or risk preference. Once the intent is clear, the system no longer waits for further instructions but treats it as a problem to be solved. This is crucial because a clearly defined intent also influences the execution method. Now, achieving the same goal is no longer limited to a single predefined path but offers multiple possible approaches. The system can evaluate different routes, locations, or strategies without user intervention and select the solution that best meets the given constraints. The user is no longer the navigator of the system; instead, the system navigates on behalf of the user. Today, all of this is possible not only because of the improved interface, but also because of the reduced coordination costs. Software can now evaluate multiple solutions, compare results, and react in real time at low cost. Agents can run continuously, monitor changing situations, and adjust execution without requesting permission at every step. This was difficult to achieve in an era of high computational costs, independent systems, and manual intervention in execution. Now, these limitations have been greatly reduced. Another important change is that execution no longer needs to be controlled by a single platform. Once the intent is expressed in a structured way, any participant that can satisfy that intent can respond. This introduces competition at the execution level. Different solvers, agents, or services can attempt to achieve the same intent, and the system can select the best result based on predefined rules. Users don't need to know who performed the task; they only need to ensure the result meets their set conditions. In older systems, users had to manually compare options and weigh trade-offs to optimize. In intent-based systems, the optimization process is moved downstream. The system compares options, handles complexity, and presents results. Fragmentation is no longer a user problem, but rather an input for optimization. More options improve results, rather than increasing the difficulty of decision-making. In attention-driven systems, value flows to those who control the demand. Platforms compete to keep users on their interfaces because that's where the profits happen. In intent-driven systems, however, value flows to those who can achieve the goal most efficiently. The scarce resource is no longer attention, but reliable execution under various constraints. This is a subtle yet important shift. It moves the focus of competition from surface interaction to backend capabilities. In the intent economy, users no longer browse marketplaces or manipulate platforms in the traditional way; instead, they make requests. This changes the balance of power. The importance of intermediaries who merely guide users through processes diminishes, while infrastructure that can reduce costs, risks, or delays becomes crucial. Competition among execution service providers is no longer about user lock-in, but about speed, accuracy, price, and credibility. Poor execution is quickly punished because users don't need to understand why they failed; they just see the failure. They can simply stop sending intent in that direction. This also changes how markets scale. In the old model, complexity increased with the number of users. More users meant more support, more interfaces, and more decision-making power pushed upstream. In intent-based systems, complexity grows with improved infrastructure. Users keep things simple, and the system handles the complexities for them. This makes serving non-expert users easier without compromising system functionality. Advanced users and complex infrastructure can coexist, but the burden of coordination no longer falls on the person making the request. This also reduces switching costs. When users are not limited to specific workflows or interfaces and can simply express their intent, they are free to send that intent anywhere. Transaction execution providers cannot rely on inertia or habit; they must constantly compete. This drives them to standardize intent formats, verification mechanisms, and settlement layers, as increased compatibility expands the transaction execution market. Over time, this will push the system towards greater openness. From a broader perspective, the intent economy changes the experience of "using the internet." Users are no longer system navigators but begin making requests. Many interactions that previously required attention, judgment, and repeated decision-making can be simplified into a single step. Users determine the outcome and constraints, and the system races to complete the rest. This is why the intent economy is not limited to cryptocurrencies or finance. These domains clearly demonstrate their operational mechanisms because execution costs are high and errors are readily apparent. However, the same structure applies to any domain with high coordination costs: commerce, logistics, scheduling, procurement, information retrieval, and ultimately, everyday digital tasks. In domains where results are more important than processes, intent-based systems outperform workflow-based systems.