@josephcurl If compute really is the bottleneck for that long, feels like smaller players are gonna get squeezed out unless they find a way to be more efficient.
AI isn’t just about getting bigger.
It’s also getting way cheaper.
TurboVec, based on Google Research’s TurboQuant, can squeeze AI vector memory from 31GB down to 4GB.
What that means:
Less memory used.
Faster searching.
AI that works offline.
No need for pricey GPU setups.
Zero cloud reliance.
Everyone’s focused on bigger models.
But the real game-changer might be cutting costs.
If running AI costs less, more people will use it.
The stocks I’m watching:
$GOOG $NVDA $MSFT $AMZN $META $AMD $AVGO
My take:
The next big AI play isn’t just about who builds the biggest model.
It’s about who makes AI cheaper, faster, and simpler to roll out.
@meloncurls21 Sounds great in theory but how do you actually distribute ownership to 330 million people without it turning into a bureaucratic mess or just another tax break for the wealthy?
@ChizNobi The ad business is still the engine, but the capex on VR and AI is getting harder to ignore. Either that pays off huge or margins take a real hit.
$GOOG ’s real business model is much deeper than advertising.
The market still sees Google as a search and ad company.
But the real structure is bigger:
Search = massive cash flow
YouTube = global attention
Google Cloud = enterprise AI demand
Gemini = AI product ecosystem
Android / Chrome / Gmail / Maps = global distribution
Waymo = long-term autonomous driving upside
That is why I view $GOOG as one of the most important AI platform companies.
The risk is also clear:
AI capex is rising.
Search competition is increasing.
Regulatory pressure remains.
My strategy:
Do not chase.
Wait for pullbacks.
Watch Cloud growth and Search monetization.
Add only when the chart holds key support.
Watchlist:
$GOOG / $MSFT / $AMZN / $META / $NVDA / $AVGO / $TSM
Not financial advice. 🚀
🚨 $TSLA isn't acting like your typical car company.
Current price: $391.00
Today: -6.61%
Market cap: ~$1.38T
Everyone keeps focusing on Tesla's car sales.
But that's just one piece of the puzzle.
The real $TSLA story goes deeper:
EV production
Energy storage
FSD
Robotaxi
AI robotics
Software ecosystem
If Tesla stays just an EV maker, the stock looks pricey.
But if it becomes an AI mobility platform, everything shifts.
That's why $TSLA is always high-risk, high-reward.
My take:
I'm into the long-term idea.
But I wouldn't jump in after big price moves.
I'm keeping an eye on:
$TSLA — wait for dips
$NVDA — AI processing power
$GOOG / $MSFT — AI platforms
$AVGO / $TSM — AI chips
Don't buy into hype.
Wait for price support.
Only buy when the risk-reward is in your favor. 🚀
Not financial advice.
@MikePinto3 Yeah the swings have been wild. Hard to tell if it's just traders chasing momentum or if there's something fundamental shifting underneath.