🧵
addressing the obvious objection:
“Why would anyone pay a premium to lock inference costs if inference is always getting cheaper?”
Good question.
The answer: you are not paying to protect against the long-term trend.
You are paying to protect against the short-term chaos.
$SURPLUS
Ai agent thesis
*Personalization
In a 12-18 months everyone would have ai agent that knows them more than their family , business partners , cofounders , romanic partners
*Diagnosis is customized
After the ice breaker stage with your agent, they excel at recommending and suggesting stuff that’s good for you, slowly builds trusts. Google search was the way in the previous decade. Now it’s AI conversations with your agent cuz search is outsourced in itself,only suggests what’s relevant to you.
* Personal advisor/ Mentor
It gets to a point where, your agent knows you more than yourself, so they are gonna be better at being yourself than you are. Higher efficiency
* Convenience .Idk think anyone who has used ai has said “Ai is not convenient”regardless of other variables
* Automation ( Everyone loves it. No one has technically mastered yet except a few )
* Ai agents the new adult toys
(Owning and building the best agents means highly optimized ai output. ( If ai is accessible to everyone , knowing how to use it to the best of its capacity is the moat)
* Agent flexing
Ai agent upgrading is going to be massive. More niche skills , better output.
Ai infrastructure being rn is for current demand. Future demand is going to be exponential.
Interesting times ahead.with Ai you can be at multiple places at the same time . Idk if it good or bad . But what I do know is. it’s amazing for monetization . When something is monetizable , adaption accelerates. Gg
@sam_loga@VirtualsWeekly@StrikeRobot_ai I remember they were two projects set to launch apart from $SR do you know the names of those projects ? Coundnt keep track ?