[Discussion] High-volume throwaway AI accounts vs. 30-day warranty: Where is the actual demand?

Hey guys,

(Disclaimer: I am NOT selling anything here, nor am I offering services. Please do not DM me asking to buy accounts—this is purely for strategic feedback and business model analysis.)

I’ve been analyzing a high-volume supply pipeline for GPT Plus accounts and running into a bit of a strategic crossroads. I’d love to get some insights from experienced marketers, botters, and digital goods sellers here.

Looking at the supply side, there are essentially two distinct categories:

1. Bulk Throwaway Tier (Disposable)

• Volume capacity: 500 – 5,000 accounts per day.
• Cost: Dirt cheap.
• Lifespan: Highly volatile (anywhere from 1 hour to a few days max before tripping risk controls).
• Intended use: Ideal for churn-and-burn bulk automation, mass data scraping, or parallel API-alternative workloads where persistence doesn't matter.

2. Stable Tier (Warranty-Backed)

• Volume: Lower volume, higher cost per unit.
• Lifespan: Backed by a 30-day replacement warranty.
• Intended use: Regular daily users, agencies, or individuals needing continuous uptime.

For those with experience in bulk digital goods, arbitrage, or mass automation:

1. Is there genuine market demand for high-churn throwaway accounts? Or do automation teams prefer using official API credits over managing credential turnover, even at rock-bottom prices?
2. Support overhead: For the 30-day warranty model, does the replacement ticket volume usually eat up the profit margin compared to the hassle-free "sell and forget" disposable model?
3. Monetization angle: What channels or business structures make the most sense for offloading high-velocity volume without getting completely bogged down in end-user customer support?

Would love to hear your thoughts on market viability and which model scales better in practice. Cheers!

P.S. English isn't my first language, so I’m using AI translation—apologies in advance for any awkward phrasing. I’m also fairly new to exploring these platforms and would appreciate any high-level guidance or observations on how distribution channels typically work in this ecosystem.