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AI-infrastructure signals from the last 24 hours, ranked by significance.

10 of 10 · 24h window
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MU4

7
What Would Stop This Selloff?

The post argues the memory selloff prices in a near-total collapse of peak earnings that ignores how HBM structurally reduces bit output per wafer, making the bear case likely overdone for the big-three memory makers including Micron.

Analyst DD

The author contends the semiconductor selloff is driven by memory-cycle fears that assume 2028 oversupply, structural Chinese entry, and hyperscaler funding exhaustion all hit at once. He argues this is somewhat overdone because the market's capex-to-bits math fails to account for HBM, which lowers the number of bits produced per wafer and thus tempers the feared supply glut.

Evidence
  • Micron fell 2.3% in New York overnight alongside ASML -5.8% and Nvidia -5.0%
  • Memory is a price-cycle industry; forecasts diverge on when profits at Samsung, SK hynix and Micron turn over
  • Market worry is that ~$75B of combined big-three capex lands as bits in 2028
  • 1GB of HBM3E consumed roughly the wafer area of 3GB of commodity DRAM; 16-high HBM4 pushed that to four times
  • SK hynix example: peak quarterly EPS 150,000 won annualizes to 600,000 won; today's price is 2.6x that, implying the market expects ~70% of peak earnings to disappear within four quarters
Catalysts
  • SK hynix results released July 29 could settle the memory-cycle concern
  • CXMT Shanghai debut (+471%, passing Intel in market value) intensifying China-supply fears
  • Report of China developing immersion DUV lithography
  • Disclosure of Nvidia backstopping $250B of OpenAI data center investment reviving circular-financing concerns
Risks
  • 2028 oversupply could be locked in if supply arrives all at once while AI demand stops
  • China's entry into memory/lithography could be structural
  • Hyperscalers may no longer be able to keep funding the AI buildout
  • Memory earnings could fall to roughly 30% of peak
MUBullishsupplySubstack · damnang·10 days ago
6
How I Invest in AI Infrastructure

The author sees HBM's change to memory profit structure as a structural shift that outlasts the cycle, with US-only DRAM manufacturing adding policy-driven flows, but flags concentration risk.

Analyst DD

The author believes HBM has structurally changed the memory profit profile in a way that outlasts the cycle, with growing HBM share and capacity investment pointing to growth. Being the only DRAM producer manufacturing in the United States adds policy-driven flows on top, making it a high-conviction, large-position name for someone who studies the memory sector.

Evidence
  • Growing HBM share and capacity investment
  • Only DRAM producer manufacturing in the United States
Catalysts
  • HBM share growth
  • Policy-driven flows from US manufacturing
Risks
  • Business concentrated in memory alone, so theme resilience is low
  • Conviction sustained only by continued study of the sector
MUBullishdemandSubstack · damnang·28 days ago
5
Yes, I'm still bullish on memory like $MU / Samsung. As I said earlier, markets tend to rotate from bottleneck to bottleneck. This week it looks $AXTI to $LITE in the photonics sector is the focus again. The thing is... the primary thing that changed are the stock prices, ...

Author reiterates bullish memory stance while explaining how markets rotate through supply bottlenecks.

MUBullishsupply@aleabitoreddit·today
3
Custom Memory, Deeper into the Die, Shallower the Cycle

Micron is named among the commodity DRAM makers (with Samsung and SK hynix) whose interchangeable memory the post argues is transitioning into higher-margin custom silicon billed via contracts rather than spot rates.

MUmoatSubstack · damnang·26 days ago

AMD1

7
How I Invest in AI Infrastructure

The author is bullish because exploding AI demand overflows to the number two GPU player and creates a CPU bottleneck where AMD has a strong moat, with diversified CPU/GPU/FPGA demand providing a floor.

Analyst DD

AMD benefits as the AI demand surge overflows to the number two GPU player and creates a CPU bottleneck where AMD holds a strong moat, while its accumulated design talent across CPUs, GPUs, and FPGAs is an asset in its own right. Independent demand across those three product lines provides a floor that makes it a long-term hold.

Evidence
  • Server CPU share keeps climbing
  • GPU share is small next to NVIDIA's but demand overflow lands with the number two player
  • Outstanding chip design talent across CPUs, GPUs, and FPGAs
  • Lisa Su took the company from the edge of bankruptcy over a decade
Catalysts
  • Exploding data center GPU demand overflowing to the number two player
  • Rising server CPU share amid an AI-era CPU bottleneck
Risks
  • The open question of whether AMD can grow fast enough to absorb demand exploding now
  • Competing against NVIDIA's dominant share
AMDBullishdemandSubstack · damnang·28 days ago

NVDA3

5
What Would Stop This Selloff?

Disclosure that Nvidia backstopped $250 billion of OpenAI data center investment revived concerns about circular financing inside the AI complex, contributing to a 5.0% overnight drop.

NVDABearishSubstack · damnang·10 days ago
3
How I Invest in AI Infrastructure

The post repeatedly cites NVIDIA as the dominant GPU player and a recurring strategic investor in critical supply-chain names (Marvell, Nokia, Lumentum), using it as context rather than analyzing NVDA itself.

NVDABullishdemandSubstack · damnang·28 days ago
2
Custom Memory, Deeper into the Die, Shallower the Cycle

NVIDIA's GPU is used as the reference example of the processor whose memory-bandwidth bottleneck (von Neumann wall) motivates HBM and compute-in-memory approaches.

NVDASubstack · damnang·26 days ago

ASML1

5
What Would Stop This Selloff?

A report that China had begun developing immersion DUV lithography sent ASML down 5.8%, raising questions about a potential long-term competitive threat to its equipment moat.

ASMLBearishmoatSubstack · damnang·10 days ago

MSFT1

3
The Open-Source AI Era: Will Hyperscalers Keep Buying Chips?

Microsoft Copilot is named as an example of the hyperscaler 'own-product' account, where swapping in open models removes the license fee and improves margins.

MSFTexecutionSubstack · damnang·20 days ago