Data portability is a common repeated crypto commitment. “Take your followers and society graphs throughout the internet.” “Take your video game items throughout the games and platforms.” “Log in to any site with a single, one -sized identity.” These claims are excited for builders and developers, but have never been to the mainstream.
Recent platform shifts have highlights the destruction of our digital lives. In the talks of a potential prohibition of Tiktok, the creators face the loss of years of content and audience relationships overnight. Meanwhile, while US buyers are embracing new AI models such as Deepseek, built in China, they face similar questions about where their data lives and can gain access to it.
These are the symptoms of a major problem: users do not truly own or control their data. We live on rented land.
Much of the foremost Crypto Investors Write about user’s data portability and sovereignty on the early days of the web2. The vision of an Internet – where users, not platforms, control their digital lives – is one of the driving forces behind the crypto. While crypto has succeeded in financial applications, this promise of portable data and a self-suvererign Internet remains unfinished.
We have seen many attempts: NFTs that allow you to bring items to games, decentralized social networks such as Farcaster and Bluesky promising portable social graphs, and proven identity standards . Nothing (yet) has seen a wide adoption.
The truth? While early Internet thoughts care deeply about the principles of data sovereignty, most users have a simpler question: what can I do here?
Without the AI, most of the data is relevant only inside the platform garden walls. In AI, it becomes an appreciated digital commodity and a tool to empower almost every application. The history of your message helps AI to understand your writing style, your preferences, and your relationships. In many users who store their data on self-suvereign wallets, developers can build AI experiences that are truly personalized. AI finally provides “why” data portability, in the form of a better product experience than ideology alone.
There is still a Cold problem with starting. Inconvenient for users to connect their data. And for those who develop, the mindset now is: If you convince users to upload their data to your platform, why would you make it easy for them to take it elsewhere? It creates a cycle where each new platform becomes another wall garden, recreating the very problem they set to solve.
This is where new incentive structures can finally break the extractive cycle. Datadaos created an immediate opportunity for users to suck their data through financial incentives, solving a cold start-start problem, as long as the data rode in a self-suvereign, interoperable way, As in the vana. While more users bring their data to these interoperable systems, developers may develop applications that are not possible before.
Think of a personal health coach that can study your sleep data from Oura, your exercise from Strava, your nutrition from food delivery apps, and your stress levels from communication patterns.
Or, an AI assistant who truly understands you because it can access your complete digital history while maintaining your privacy through grain permission.
This solves a critical problem that has occurred previous attempts at data portability. Users cannot export their data without clear benefits, and developers will not build for portable data without users. Daos data will break this deadlock by making it immediately benefiting for users to connect data.
More importantly, once users make their data themselves, completely new types of applications are possible. AI agents can access your complete digital history to provide real personal experiences. Developers can develop applications that combine data in ways that are not possible when it is siled on platforms.
We know that there are many demands for AI training data – many main model providers has prepared to hit a wall of data Soon, they make their search for unavailable public databases to train newer, higher performance models. New models such as Deepseek The value of high quality data has been shown, with carefully curated examples of human generated to bootstrap their novel training method. At the same time, user data policies such as GDPR and CCPA Legally requires platforms to allow users to export their data to an available, standard format. Networks such as vana allow users to make their data money through together -co -conscience with trainer models that require valuable training data that is no longer available on public internet, and make it interoperable for in real sovereignty of data.
Two Convert forces – the proliferation of AI, and new financial incentives – create the potential for both users and developers to benefit from data portability. The interests of users, developers, and data networks are finally aligned. Users get immediate amounts along with better AI experiences, developers get access to rich user data to generate new applications, and networks are growing on each new participant.
For the first time, we have the same technology to make the data portability and the incentives important to drive adoption.
Crypto has yet to deliver the original promise of a self-suverige, interoperable internet where users own their data, which is not yet completed by Web2’s Walled Gardens. By creating financial incentives to bring data to the surface and seizure AI’s capabilities, we finally have a window of opportunity to make the Internet truly user-owned.
