I propose additional revenue models for high-tier service providers. While current leaders like Google, LinkedIn, Meta, and Netflix utilize cutting-edge technology, their revenue models remain primitive, relying almost exclusively on advertising or flat-rate monthly subscriptions. These models are sufficient for average consumers, but they fail to capture the value sought by power users willing to pay for specific, high-value additions. My proposition is to charge based on incremental value.
Netflix: Tiered Content and Feature Monetization
Flat-fee subscriptions disadvantage premium content producers by averaging the value of high-budget and low-budget media.
Premium Access: Specific high-value content should allow for an additional per-view charge, enabling the inclusion of more specialized or high-budget productions.
Feature-Based Billing: Services such as dubbing or specialized subtitles could be charged as add-ons. This creates a self-sustaining revenue stream for localization, increasing total content availability without inflating the base subscription cost.
LinkedIn: Usage-Based Utility
Current subscription models often force users into long-term packages for short-term needs, or conversely, penalize high-intensity interaction by flagging accounts.
On-Demand Actions: Advanced searches and high-value interactions should be available via per-action or short-term bursts rather than monthly commitments.
Retention Logic: Rigid account blocking for high-intensity use disincentivizes platform interaction. A usage-based model allows for "heavy use" periods without compromising account status, preventing the increase of "ghost accounts."
Google Gemini: Compute-Based Pricing
Standard monthly fees for AI do not align with the high infrastructure and energy costs of data centers. For productivity-focused users, pricing should scale with computational load.
Dynamic Assessment: Upon receiving a query, the system should provide three processing tiers:
Fast Thinking: 0.2 cents
Moderate Thinking: 1.2 cents
Heavy Thinking: 2.0 cents
Efficiency: This allows users to pay only for the required "compute" for a specific task, removing the barrier of a high flat-rate monthly fee for intermittent users.
Implementation: Pre-Paid Credit System
I propose a pre-paid "wallet" system to facilitate these micro-transactions.
Privacy and Security: Pre-payment removes the necessity for service providers to store sensitive credit card data.
Financial Logic: Service providers benefit from the time value of money by receiving payments upfront.
Micro-transactions: Small-scale billing (in cents) is technically feasible through a pre-paid balance where credit card processing fees would otherwise make it impossible.
Transferability: This system allows for easy peer-to-peer balance transfers, such as a parent allocating a specific budget to a child’s account for controlled service consumption.

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