Version 10

What

Why it matters

Open questions

• Apple is reportedly exploring ChangXin memory [17] — is Apple one of Micron's 16 strategic customers, and do the take-or-pay terms in those agreements prevent or penalize sourcing from Chinese alternatives?

• Samsung and SK Hynix are now pursuing their own 3-5 year memory supply contracts with major tech firms [18] — does this close Micron's first-mover advantage in contract structure, or does earlier lock-in hold?

• Citi ranks DRAM supply as the single biggest AI compute bottleneck [13] — does that ranking incorporate CXMT's HBM3 production timeline targeting end-2026 [15], or does it treat Chinese capacity as outside the addressable supply picture?

• Marvell has 18 active custom chip programs at hyperscalers and a formal $10B+ custom silicon revenue target by FY2029 [8] — does custom silicon growth come at Nvidia's expense or alongside continued GPU dominance?

Narrative

Timeline

• 2026-05-26: Micron crosses the $1 trillion market cap threshold, driven by HBM demand from AI workloads. [41]
• 2026-06-08: Amazon announces a multibillion-dollar optical fiber supply agreement with Corning; Milk Road AI publishes 'Save This' on Corning as an underappreciated AI infrastructure beneficiary. [1][42][43][2]
• 2026-06-08: Jensen Huang describes Qualcomm positively; Milk Road AI publishes 'Save This' on Qualcomm as an on-device inference play. [3][44][45]
• 2026-06-14: Milk Road AI publishes 'Save This' on Micron, predicting a $4,000 stock price and framing Micron as America's strategic monopoly on AI memory. [4]
• 2026-06-15: Convequity argues Chinese memory capacity expansion — not demand collapse — is the most probable signal the current memory cycle has peaked. [36]
• 2026-06-15: CXMT aligns with Huawei on domestic HBM3 production targeting end of 2026 while phasing out DDR4 for DDR5; analysts warn the expansion risks global price pressure. [37][15][16][46]
• 2026-06-23: Jim Chanos argues the AI energy bull case rests on a temporary power constraint; when it resolves, elevated valuations will collapse. [20]
• 2026-06-23: Milk Road AI posts a $3,000 Micron price target citing Jensen Huang's structural-demand argument, and adds AAOI following a 14% single-day selloff. [5][21]
• 2026-06-24: Micron reports Q3 FY2026 earnings: CEO Mehrotra states memory is no longer a commodity; 16 Strategic Customer Agreements totaling $100B over five years with $22B in deposits are disclosed; company forecasts AI-driven shortages beyond 2027. [10][25][26][27][28][12][11]
• 2026-06-24: Milk Road AI argues Micron's Strategic Customer Agreements are more consequential than the earnings print, marking the end of Micron's 47-year commodity business model. [22]
• 2026-06-24: Milk Road AI adds GE Vernova to the 'Save This' series, framing its turbine capacity as a structural AI infrastructure asset because data centers require 24/7 baseload power the grid cannot supply fast enough. [7]
• 2026-06-26: Milk Road AI publishes a CoreWeave defense citing $2.08B Q1 revenue, $99.4B contracted backlog, and Nvidia's $2B co-investment alongside a joint 5-gigawatt AI factory expansion. [6]
• 2026-06-26: Chanos widens his counter-thesis across Business Insider, Yahoo Finance, CNBC, and YouTube, arguing investors should own AI models not data center or energy infrastructure builders. [19][29][30][31]
• 2026-06-28: Rohan Paul summarizes TechCrunch and FT reporting on Micron: Q3 revenue $41.46B with 84.6% gross margins; SK Hynix holds 58% of HBM in Q1 2026 with Samsung and Micron each at 21%. [11]
• 2026-06-29: Benzinga reports Apple is exploring memory chips from China's ChangXin, causing a Micron selloff — the first named-customer signal that Chinese supply alternatives are being actively evaluated. [17]
• 2026-06-29: Citi refreshes AI compute semiconductor rankings and identifies DRAM memory supply as the biggest bottleneck across all AI infrastructure categories. [13]
• 2026-06-29: Milk Road AI publishes 'Save This' on Marvell, citing Jensen Huang calling it the next trillion-dollar company and its leadership in custom silicon and the CXL interconnect market. [8]
• 2026-06-29: Milk Road AI frames Mag 7 capex-driven FCF compression as a buying opportunity, projecting combined Mag 7 free cash flow approaching $650B by 2030. [24]
• 2026-06-30: Milk Road AI publishes a bullish pitch for Meta, arguing its 21.2 GW compute buildout positions it to become a compute landlord that could generate $20B annually from reselling just 1 GW of excess capacity. [9]

Perspectives

Tensions

• Milk Road AI and Mehrotra argue take-or-pay terms in 16 five-year contracts de-commoditize memory pricing [22][11]; the Apple/ChangXin sourcing report suggests a major customer is actively evaluating Chinese alternatives regardless of contract structure [17]. [22][11][17]
• Milk Road AI calls Micron 'America's monopoly' on AI memory [4]; industry data places SK Hynix at 58% of the HBM submarket as of Q1 2026, with Samsung and Micron each at 21% [11]. [4][11]
• Micron forecasts AI-driven memory shortages beyond 2027 [26][27]; CXMT is targeting HBM3 production by end of 2026 [15] and Apple is reportedly evaluating ChangXin chips [17] — a supply timeline Micron's shortage forecast has not addressed. [26][27][15][17]
• Micron's 16 Strategic Customer Agreements represent a structural first-mover advantage in contract terms [12][11]; Samsung and SK Hynix are now pursuing their own 3-5 year supply agreements with major tech firms [18], potentially closing that gap. [12][11][18]
• Chanos argues investors should own AI models rather than infrastructure builders, and the power constraint is temporary [19][20]; Milk Road AI's series — now spanning memory, fiber, power, compute, custom silicon, and inference — argues physical scarcity is durable across every AI hardware layer [7][6][8]. [19][20][7][6][8]
• Milk Road AI presents CoreWeave's $99.4B contracted backlog and Nvidia's $2B co-investment as proof the market misprices CoreWeave by fixating on debt [6]; Chanos argues data center builders are structurally uninvestable regardless of backlog [19]. [6][19]