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The age of AI - considerations

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An AI-driven internet model, where users own and monetize their data, would fundamentally shift value from centralized platforms to the individual. The business model would be built on the principle of user-centric data autonomy, transforming traditional advertising, e-commerce, and search.
The New Business Model: User-as-a-Platform
Instead of a few tech giants controlling user data, the user's personal AI agent becomes the central hub. This agent acts as a digital steward, managing a user's data vault and representing their interests online. It's a shift from data as a product to data as a personal asset. The core business model for this new era would be a data brokerage or licensing model controlled by the user.
1. The Internet Re-imagined: Search and Data
The current search engine model is based on collecting vast amounts of user data to serve targeted ads. An AI-driven search model would flip this. The user's AI agent would interact with different information sources—both public and private—to provide comprehensive, personalized answers without giving away raw data.
 * Search: Instead of a "one-size-fits-all" search result, the user's AI would leverage their owned data to provide tailored, context-aware answers. For example, if a user is researching "electric cars," their AI could factor in their location, budget, and driving habits (all owned data) to find the most relevant options, rather than generic sponsored links.
 * Data Vaults: Companies would no longer "scrape" data. They would instead pay for access to anonymized, aggregated data sets from user data vaults, or directly license specific data points from individual users with explicit consent. This creates a new revenue stream for the user and a more transparent, ethical data ecosystem for businesses.
2. New Business Models for Shopping and Advertising
This model would dismantle the current ad-tech ecosystem and introduce new, more transparent ways for businesses to engage with consumers.
 * Sustainable Shopping: The AI agent could act as a personal sustainability consultant. When a user shops online, the agent could apply a "sustainability score" to products based on the user's personal values (e.g., carbon footprint, ethical sourcing, circularity). The business model for retailers would be to license this data from the user's agent to better understand demand for sustainable products, rather than simply tracking consumer behavior.
   * Example: A user wants to buy a pair of jeans. Their AI agent, knowing they prioritize minimal water usage, would search for and recommend brands that meet this criterion. The retailer could pay for a service that allows them to push a "sustainability-certified" badge to the user's agent, creating a new form of value-based advertising.
 * Advertising: The current programmatic advertising model would become obsolete. The new model would be based on permission-based, "in-bound" advertising. Companies would submit their ad proposals to the user's AI agent, outlining what they are offering and what data they need to provide value. The user's agent would then decide whether to accept the ad based on the user's preferences, effectively acting as an ad-blocker and a personal ad-curator. The user would then be compensated for viewing the ad, either with micro-payments or loyalty points.
3. AI Agent and Data Ownership: A Digital Twin
The question of whether the AI agent is a digital twin or a true data owner is a critical one, with significant regulatory implications.
 * Digital Twin: A digital twin would be a real-time, virtual representation of a user's data. It mirrors the user's behavior and preferences but doesn't necessarily "own" the underlying data. In this scenario, the AI agent is a sophisticated proxy, acting on the user's behalf. This model is more aligned with today's regulations like GDPR, where the user is the data "subject" and has rights like the right to be forgotten. The AI agent would simply facilitate the exercise of these rights.
 * AI as Data Owner: This is the more radical shift. If the AI agent, and by extension the user, truly owned all the data, it would create a new legal entity. The user's AI would become a "digital person" with legal rights and responsibilities over its data. This would require new regulatory frameworks to define what a digital entity can own and how it can transact. It would empower users to create new micro-economies around their data, from selling anonymized insights to licensing their behavioral patterns for research.
Both models offer a new path forward, but the latter presents a more profound and disruptive change, turning users from data sources into data proprietors. This would necessitate a global conversation on digital personhood and the legal framework for data ownership in the age of AI.

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