AlphaGBM Says Memory Chips Are Mispriced in AI Buildout

9 hours ago
By AI, Created 09:29 UTC, Jun 30, 2026, AGP -

AlphaGBM published research on June 30, 2026 arguing that memory semiconductor stocks are still valued like a cyclical business even as AI infrastructure demand tightens supply and boosts earnings visibility. The report says the shift could leave DRAM and HBM producers structurally undervalued versus other AI-adjacent chip names.

Why it matters: - AlphaGBM says memory semiconductors are being valued too cheaply relative to the AI infrastructure boom. - The firm argues that long-term supply agreements, tight production, and strong pricing have changed the economics of the memory business. - If that view proves correct, DRAM and HBM makers could keep earning power longer than the market expects.

What happened: - AlphaGBM, a Hong Kong-based independent investment research firm, published The Memory Super Cycle on June 30, 2026. - The report says there is a widening valuation gap between memory chip companies and other AI infrastructure stocks. - AlphaGBM’s founder, Minmin Zeng, said the four-decade-old boom-bust framework for memory stocks may no longer apply. - Zeng said long-term supply agreements and a three-company oligopoly controlling 96% of the global DRAM market have changed earnings visibility.

The details: - DRAM prices have risen about 10x from the 2023 trough, moving from $0.15/GB to $1.50/GB, according to industry pricing data cited in the report. - Goldman Sachs projects DRAM prices will rise 250% to 280% in 2026, citing the widest supply-demand gap in 11 years. - The report says high bandwidth memory supply is fully contracted through 2027. - Hyperscalers including Microsoft, Google and OpenAI have secured multi-year long-term agreements for memory supply. - Memory producers are reporting gross margins above 75%. - Forward price-to-earnings ratios for memory producers remain in the 5x to 10x range. - The report compares that with 25x to 35x forward earnings multiples for other AI-adjacent semiconductor companies. - AlphaGBM says major AI buyers have locked in memory pricing 2 to 5 years ahead, which reduces the revenue swings that have historically pressured valuations. - The report says no major new fabrication facilities are expected before 2028. - AlphaGBM estimates supply growth at 15% to 20% a year against demand growth of 20% to 25%. - Samsung, SK Hynix and Micron collectively control 96% of global DRAM production, according to the report. - The company says that level of concentration has created pricing discipline not seen in earlier cycles. - AlphaGBM says consumer electronics demand remains weak, with smartphone and PC shipments down about 20% in 2026. - The firm also says Korean-listed memory stocks face structural liquidity risk from persistent foreign fund outflows.

Between the lines: - The report is making a broader claim than a near-term price call: memory chips may be moving from a cyclical trade to a more durable infrastructure bottleneck. - That would help explain why earnings are improving while valuations still look compressed versus AI infrastructure peers. - The thesis also depends on disciplined supply, which could weaken if new capacity arrives faster than demand.

What's next: - AlphaGBM says new fab capacity scheduled for the second half of 2028 could narrow the supply-demand gap if AI infrastructure spending slows. - The firm is also watching CXMT, which it says recently IPO'd at a valuation above $70 billion and holds 3.97% of global DRAM share. - Future investor attention will likely focus on whether the current pricing tightness lasts through 2027 and into the next wave of capacity additions.

The bottom line: - AlphaGBM’s message is simple: memory chips may be the most mispriced part of the AI supply chain, because the market is still treating them like a boom-bust commodity instead of a constrained infrastructure asset.

More information

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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