Since only the first one responds to any of Zitron's content that I've actually read, I'll respond only to that one:
It's not responsive at all to Zitron's point. Zitron's broader contention is that AI tools are not profitable because the cost of AI use is too high for users to justify spending money on the output, given the quality of output. And furthermore, he argues that this basic fact is being obscured by lots of shell games around numbers to hide the basic cash flow issue. For example, focusing on cost in terms of cost per token rather than cost per task. And finally, there's an implicit assumption that the AI just isn't getting tremendously better, as might be exemplified by... burning twice as money tokens on the task in the hopes the quality goes up.
And in that context, the response is "Aha, he admits that there is a knob to trade off cost and quality! Entire argument debunked!" The existence of a cost-quality tradeoff doesn't speak to whether or not that line will intersect the quality-value tradeoff. I grant that a lot turns on how good you think AI is and/or will shortly be, and Zitron is definitely a pessimist there.