Earlier quoted context omitted.
There's no accounting for taste, but keep in mind that all of these services are currently losing money, so how much would you actually be willing to pay for the service you're currently getting in order to let it break even? There was a report that Microsoft is losing $20 for every $10 spent on Copilot subscriptions, with heavy users costing them as much as $80 per month. Assuming you're one of those heavy users, wo…
Is there any reason to believe costs won’t come down with scale and hardware iteration, just like they did for everything else? Short term pricing inefficiency is not relevant to long term impact.
If there is a common shift to using additional runtime compute to improve quality of output, such as OpenAI's GPT-o1, then FLOPs required goes up massively (OpenAI has said it takes exponential increase in FLOPS/cost to generate linear gains in quality).
So, while costs will of course decrease, those $20-30K NVIDEA chips are going to be kept burring, and are not going to pay for themselves ...
This may end up like the shift to cloud computing that sounds good in theory (save the cost of running your own data center), but where corporate America balks when the bill comes in. It may well be that the endgame for corporate AI is to run free tools from the likes of Meta (or open source) in their own datacenter, or maybe even locally on "AI PCs".