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Verified account Serenity Research

@aleabitoreddit

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AI/Semi Supply Chains Research

Nothing is investment advice. No paid promos; may trade/hold names disc, views my own.
Not Financial Advice Joined July 2025
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Serenity Verified account @aleabitoreddit
I fully support $NVDA and Jensen Huang through this time.

Even the most legendary figure in the AI industry is human.

Trump, Clinton, Bezos, Gates, and many others have faced scrutiny over their personal lives.

It takes courage to own up to it publicly and move forward
191 replies 105 reposts 2.4K likes 255K views View on X
Serenity Verified account @aleabitoreddit
Various commentary from Qualcomm, Arm, to Meta executives this week during the AI selloff:

$LITE CEO: "You had a comment from the CEO of $IREN and I'd second that. There's a massive disconnect in what we're seeing in our demand books.

And what the markets are showing. And yet you're seeing a massive, massive selloff." (Fri, Nov 6)

$AMD CEO CNBC: "We're at the very beginning of the adoption cycle, where people can see where AI and superintelligence will take us"

"We are seeing demand being higher than supply" (Wed, Nov 4)

$ARM CEO regarding a debate whether AI infrastructure spending is about to peak:

"I think in some states where it gets harder, other states may pick it up to make it easier, but I do believe strongly that if the US hesitates in any way shape performance in terms of data center buildout...

"The rest of the world is ready and willing. There is just huge demand for this capacity. And I think globally the US really wants to be able to compete against China. China is not slowing down at all." (Thu, Nov 5)

$APLD CEO: Bank construction lending, project financing and bond markets remain available, although interest rates and credit spreads have risen

"The big risk is delivering on time." "The demand picture is extremely robust." (Mon, Nov 2)

$QCOM CEO: "It's not demand bound. It's a supply bound."

"We're short on wafers, we're short on substrate, we're short on assembly. Everything is short because demand is very, very high."

"I think what the market is reacting to is what is the speed of the compute build out."

$META on political risk: "We did have a governor that won last night who did make data centers a big part of the platform.

Say as soon as we get past the inauguration, let's meet because we don't want to lose this investment in our town. We don't want these jobs to go elsewhere." (Wed, Nov 4)

Even politicians campaigning against data centers are negotiating. But Meta's president also emphasized that starting new US DCs will become more difficult.

TLDR:
-> Extremely bullish commentary from accelerator players, networking, and semi companies
-> DC developers report strong pricing/demand, but increasingly emphasize financing, permitting and execution risks (more cautious)
-> Politicians that previously campaigned against DCs are showing cooperation

There's an important difference between demand disappearing and demand being delayed by the inability to build fast enough.

Despite the severity of the selloff, I'm not seeing evidence of widespread AI demand destruction in commentary.
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Serenity Verified account @aleabitoreddit
It think it's stupid that "AI Bubble" gets used over and over. In infra names you have:

- 1-3x fwd P/E memory companies from Samsung to $ESMT. With HBM players now having hyperscaler multi-year price floor LTAs.

- Optical companies like $POET traded -$97M under net cash. Valuing the operating business very negatively, not even at $0.

- While AI companies with larger premiums continue to record demand over the next 3-5 years. Such as the new $20B LTAs signed w/ $COHR to $5B LTAs signed w/ $LITE.

Can someone in the media honestly see negative EV high-beta optical companies, where 2 years of burnrate would still value the company below $0.

or single digit memory companies with contracted demand + price floors years out and say that's a bubble?

Many of these names are extremely profitable today...

But obviously there's other elements inside the theme, such as:

- Certain startups like Instinct that look like a private valuation bubble.
- Leveraged Neoclouds that didn't finance properly
- and AI lab valuations and commitments, which should be viewed cautiously.

But everything gets grouped into one with the boogyman of "leverage" or "debt".

Yes, valuations can compress or correct from macro, potential regulatory uncertainty, or potential capex reductions.

But for the companies physically powering the AI buildout, it looks more like the Great AI Deleveraging of 2026...

Than anything like fundamental demand destruction.

As more earnings come out and free cash flow accumulates over time.

I'm confident in a recovery, especially in bottlenecks, and for markets to eventually discern durability + growth over frothy valuations tied to AI.
149 replies 71 reposts 1.1K likes 220K views View on X
Serenity Verified account @aleabitoreddit
The two things I'm excited about are Gen G vs. T1...

and new NASA's $10 Billion contract to begin settling on the moon. NASA selected:

- $SPCX (SpaceX)
- Blue Origin
- $FLY (Firefly)
- $LUNR (Lunar)
- $LMT (Lockheed Martin Space)
- $NOC (Northrop Grumman Space)
- $VOYG (Voyager)
- iSpace US

to compete for future lunar delivery missions

- $1.3B in launch and orbital transportation orders awarded to Arrow Science, Blue Origin, and Impulse Space.

- $94 million for Blue Origin to deliver NASA's nuclear powered PROMISE rover

- Existing CLPS 1 contract ceiling raised from $2.6B to $4.2B.

- NASA also announced awards to Honeybee Robotics, a Blue Origin company, $RDW for a lunar power and communications tower