Comment by TeMPOraL

> And what precisely is the problem? Obviously, we have incomplete information, but in efficient markets ALL providers all trying to capture the full value of the solution they provide.

Because:

1) In efficient markets, all users also try to capture full value they get from the they bought. Efficient competition is purely adversarial.

2) You say, "As long as that number is 99.99% (...) it's still valuable for BOTH parties". Unfortunately, incomplete information and information asymmetry makes it more than likely that the "is trying to align their pricing" so that this number is more than 100%. That is, if you're not careful, they'll scam you.

The two above are arguments why this is a problem for the buyer, in practice. The next one is more general:

3) Everything that's good and nice and human happens inside economic inefficiencies. For human beings, a truly efficient market is a literal definition of hell - everyone's suffering as much as possible, spending all their energy to earn exactly enough to barely survive.

> FWIW most SaaS businesses severely underprice their offering relative to the economic value they create.

As it should be.

I'll say here what I say to people who talk about stopping to post anything publicly, lest it ends up in LLM training data:

Trying to capture for yourself 100% of the economic value you're producing is an extreme form of greed. When companies try to do that, they get called evil and used as examples of everything that's wrong with late-stage capitalism and such. Human society works best when people don't capture all their productive output, when they actually do leave some money on the table, because this allows others to take it and use it to innovate and create more value - which, again, if they don't capture entirety of it, allows even more people to build on top of it.

All of us who produce, we also consume. Society and its markets form an ecosystem, which needs some inefficiency to evolve, be resilient and thrive.

(See also: running any system at 100% capacity is "efficient" up until some random event causes the load to grow ever so slightly, even for a tiny moment, at which point the system suffers a cascade of failures and dies.)