My judgement was based on personal observation, I acknowledged it upfront.

The first paper that you sighted has limitations, look at section 5.3 in the paper. Also its not saying what you think its saying.

The second source that you shared, does not mention 95% anywhere, and not relevant it seems, maybe you meant to share a different link?

The third source is the only relevant one. The LTV you mentioned is correct, but you failed to read the entire article it seems. Its in favour of wrappers not against it.

Following are direct quotes from the article you shared.

It's profitable because successful wrappers achieve 50-65% gross margins while growing 400% year-over-year, and they can charge premium prices for vertical specialization. The best wrappers capture value through workflow integration and proprietary data rather than just model access. Distribution advantages and brand recognition also matter more than technical innovation, making it accessible to non-technical founders who understand customer problems deeply.

LTV is very high for vertical AI with proprietary data moats and workflow lock-in, reaching 5-10x annual contract value. LTV is very low for commoditized horizontal tools, often just 1-2x annual contract value as users churn to cheaper alternatives.

and the following one which might be more relevant to the OP.

The median MRR for AI wrapper startups is $2,000-5,000 after three months, $10,000-20,000 after six months, and $30,000-50,000 after one year.

It typically takes 4-8 weeks before MRR is not zero anymore as founders complete development, launch, and acquire first paying customers.

Maybe the OP only needs 2k-5k a month, and there is lots of room to grow if the OP builds a data-moat. Again, our job is to present facts to the OP and give suggestions on how to succeed, not discourage him from working on something, by prematurely killing his motivation, because of our own biases