Lowell ma born, now city island bronx nyc, #CiscoSE, boxing uber fan, travel, boston sports fan and technology visionary "These Tweets are my own, not Cisco's"
@saffronroseacts Feels like we've heard this kind of promise before with other industries. Hope it's not just another talking point that fizzles out once the spotlight moves.
@mommykerrie Google Cloud is the wildcard here. If they can actually win enterprise AI business, the ad dependency narrative changes. Still waiting to see if Gemini delivers or just becomes another graveyard project.
@LisaSongSutton Memory bandwidth has been the quiet bottleneck for a while now. Glad to see MU finally getting some spotlight beyond the usual hype cycles.
$MU is quickly becoming one of the key players in the AI infrastructure space.
The main idea is pretty straightforward:
AI models keep getting bigger.
Data centers are expanding fast.
Memory bandwidth is starting to hold things back.
That’s where Micron comes in.
They’re involved in HBM, DRAM, NAND, and data-center storage—all essential for AI servers and cloud setups.
That’s why I don’t see $MU as just another memory cycle stock anymore.
I see it as an AI infrastructure supplier.
Here’s what I’m watching:
$MU — memory for AI
$NVDA — computing power
$AVGO — networking and custom chips
$TSM — advanced chipmaking
$ASML — the lithography bottleneck
My approach:
Don’t blindly jump in on strength.
Wait for dips.
See if buyers step in at key levels.
Only buy when the risk-reward makes sense.
Not financial advice.
@BlockheadsMedia The market's been pricing in the moonshots for a while now. Car deliveries matter for cash flow, but the valuation relies on whether any of those other bets actually deliver revenue at scale.
@aspfrt Classic case of good news already priced in. The spike got people excited but the pullback shows the market is still trying to figure out where this cycle really stands.