I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon.
And I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.
Tesla open sourced its patents and we made the Supercharger network available to all competitors, even though we could have made it a walled garden.
SpaceX launches competing satellite systems with no increase in price or use of unfair terms.
Even my worst enemies can attack me on this platform.
…
Nothing like an internal $META memo getting published.
Showing AI ramping as usual:
- LTAs signed with Samsung and $SNDK for memory
- LTAs signed with Sumitomo Electric for fiber optics
- Expected to deploy 7GW compute infra this year, and doubling in 2027.
- as much as $145B capex spend this year
“It plans to launch a chip about every six months through 2027”
The market is not just a handful of AI/memory names.
There are many other sectors and stocks acting incredibly well that most investors are missing. The rally has broadened far beyond the obvious AI and memory trade.
Here are some of the key sectors and names to watch:
Biotech/Healthcare
$ERAS Erasca
$IBRX ImmunityBio
$ABCL AbCellera
$QURE uniQure
$HNGE Hinge Health
$BTSG BrightSpring
$OSCR Oscar Health
Cybersecurity
$CRWD Crowdstrike
$FTNT Fortinet
$NET Cloudflare
$OKTA Okta
$PANW Palo Alto Networks
Robotics/Autonomy
$OUST Ouster
$VPG Vishay Precision
$AMPG AmpliTech
$OSS One Stop Systems
Energy
$FCEL FuelCell Energy
$BE Bloom Energy
$HYLN Hyliion
$POWL Powell
$VICR Vicor
Space
$SATL Satellogic
$SPIR Spire Global
$VSAT Viasat
$ATEX Anterix
Software
$DOCN DigitalOcean
$DDOG Datadog
$APPS Digital Turbine
FinTech
$SEZL Sezzle
$VIRT Virtu
$SNEX StoneX
$PURR Hyperliquid Strategies
Industrials
$CRS Carpenter Technology
$UCTT Ultra Clean
E-commerce
$PTRN Pattern
Infrastructure
$CDNL Cardinal Infrastructure
$STRL Sterling Infrastructure
$AGX Argan
$MU Whatever your thesis is, bear or bull. The math does not care.
Next 12 months: 6.2x forward P/E (lowest).
Last 12 months: 21.3x forward P/E (2nd lowest).
Whether you look backward or forward, Micron has been doing well and the numbers say it will do even better.
Let’s put it this way:
Retail thinks a 30-60% drop is a “falling knife” where bagholders will never recover.
And they end up panic selling after seeing swiggly line TAs and people comparing valuable chokepoints to memes.
I see it as long term ownership over:
- the next hyperscaler with $NBIS, projecting $7-9B ARR Q4
- 40% of the InP supply chain with $AXTI
- leader of the next optical shift with $SIVE with CW DFB lasers
- leader of US humanoids with $CCXI inside a future trillion dollar theme
And so on… At cheaper valuations.
While I might do things like lowering margin or hedging with my own portfolio, I’m personally not panicking when something drops if the thesis didn’t change.
NFA and obviously depends on people’s investing timeframes:
Since a crash would be life changing for people that depend on investing for rent or tuition. (Which is why I personally think others should do their own DD and choose longs in line with their own risk profile)
But my personal goal is maximizing exposure to the next-gen supercycles before they hit.
I think institutions think the same way as well, which is why there’s a lot of induced volatility along the way to maximize their exposure.
If a thesis ends up correct, the valuation should be reflected in the long run.
🚨 THE FED JUST OFFICIALLY BLAMED AI FOR RISING INFLATION.
In the June 16-17 FOMC minutes, the Fed's staff directly cited AI-related price pressures as a driver of core goods inflation, alongside tariffs.
Here's what the minutes say:
1. Core goods price inflation has risen, with staff attributing it to "tariffs and AI-related price pressures" directly
2. The Fed sees no rate changes through early 2027, with one cut only in Q2 2027
3. Market pricing already implies one rate hike by mid-2027
4. Some members believe AI will eventually reduce inflation through productivity gains, but explicitly warned "this effect would likely take time to materialize"
The contradiction is now official.
The same AI boom driving semiconductor stocks up 220% this year is also pushing up chip prices, memory prices, electricity prices, and data center construction costs.
Those cost increases are flowing directly into the inflation data the Fed is watching.
AI is contributing to inflation right now. The productivity payoff that might reduce inflation is years away.
That keeps rates higher for longer. And higher rates are the single biggest risk to the AI valuations the market has been pricing in all year.