> the products they are pumping out don't serve anyone's need or solve anyone's problem.

This isn't true though.

Yes, there are too many products being build that don't serve anyone's needs or solve anyone's problems.

However, many of the AI products do solve problems and serve needs.

You're right though, to compare this to other booms, which also had the same problem. This is very much a "hyper" version, which is pretty incredible to be in the middle of.

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showerst 2 hours ago | parent | next [-]

I don't mean that _all_ AI built stuff is useless, just that the number of products where 'marketing budget' is the bottleneck is dwarfed by the number of tools that aren't that special in the first place.

If you have a product that:

1. Solves a real problem people would pay for

2. Is not trivially replicable by your potential customers or competitors

3. Does not have a natural discovery mechanism by potential customers

Then you need the marketing budget.

That is not most people's problem.

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arrsingh 43 minutes ago | parent | next [-]

I think item #2 in your list is the real kicker here. Given that AI can write code the threshold for "trivially replicable" is going down.

Unless your thing has strong network effects or a large capex requirement (ex: GPU infra) its easily replicated and I think that's really what makes things hard.

	▲	sarchertech 15 minutes ago \| parent [-]
		Most business software that was truly trivially replicable with AI, was already trivially replicable with the prototyping tools we had available.

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tjwebbnorfolk an hour ago | parent | prev [-]

Ok but pick any category of human endeavor and 80% of it is garbage in the beginning. There were 3000 car companies in the 1920s, and most of them sucked, and so they died. The market over time will sort out who survives and who does not.

It will take a few years for investors to figure this out, but in the meantime, everyone is spreading their bets around like peanut butter in order to be in the game.

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PaulDavisThe1st 3 hours ago | parent | prev [-]

> However, many of the AI products do solve problems and serve needs.

Every solution to a problem comes with its own costs. It is entirely possible that most solutions that are rooted in modern computing technology have actual or perceived costs that exceed the value of "solving the problem".

The problems that most people have that they really want to solve are not addressable by AI, or computers, or software.