Oliver | MMMT Wealth
Founder of MMMT Wealth, CPA, Technical/Fundamental Analysis
AI's physical buildout looks set to last to 2030 and beyond because financing, memory supply and hyperscaler spending still point to sustained demand. Nebius has $3.5B in financing, IREN $2.4B at 9% and SPCX $40B for GPU equipment. SK hynix expects shortages through at least 2030 and Samsung says HBM4 is sold out; memory companies are making money with no sign of slowing. Google expects 2027 capex to rise significantly. Pullbacks can happen; be cautious and buy quality. x.comÂ
AI infrastructure demand remains above supply, so the selloff looks like a valuation and financing correction rather than a broken buildout. GPU rental rates and DRAM prices are rising, while major suppliers see constraints through 2029 and hyperscaler spending remains high. The 5+ year buildout stays bullish, though selective financing, hedge-fund deleveraging and custom-chip competition can compress multiples and Nvidia's margins. x.com x.comÂ
AI data-center investment needs outside AI spending to rise 33-fold by 2030 to break even. Hyperscalers hold $4.5 trillion in debt and future liabilities, but corporate and SaaS token spending outside circular deals is only $60 billion annualized against a $2 trillion break-even ARR. SK hynix says memory shortages may last until 2031, raising capex and CoreWeave default risk; Mitsubishi warns turbines are booked through 2031 and cost 400% more, delaying CoreWeave and Oracle data centers. x.com … Show more
Memory remains structurally scarce because SK hynix says conventional DRAM and HBM are practically sold out through 2029, while customers request roughly twice the HBM volume it can produce. Long-term agreements cover more than half of 2027 and 2028 capacity, and the company expects the supply-demand imbalance to persist through 2030. x.com x.comÂ
Deployment limits will slow AI hardware spending and expose cyclical suppliers such as SK hynix. Amazon has hardware waiting for power, and Broadcom's CEO said some clients delayed shipments because they could not deploy. Cheap forward multiples can mark a cyclical peak as analysts extrapolate growth. The slowdown could have begun or be a year away; timing is uncertain, so reducing cyclical risk in favor of healthier, genuinely cheap names looks better. x.com x.com x.comÂ
Micron and SK hynix pricing in a memory shortage past 2030 extends the memory-cycle case beyond the Street's 2028 expectation. SK hynix's record quarter adds evidence: per Wall St Engine, revenue rose 328% to $78.9B, operating profit rose 632% to $62.8B, and operating margin hit 80%. Agentic and physical AI could add demand as they roll out. x.com x.comÂ
SanDisk CEO David Goeckeler's report of customer signals beyond fiscal 2030 adds storage to the long-duration AI hardware-demand case. He says those signals come through new-business-model partnerships; Micron and SK hynix in memory and Lumentum in photonics were already cited as signs of demand beyond 2030. x.comÂ
Inflation, rising rates, Chinese competition and rising AI-related financial costs are pressuring the memory market. Micron, Samsung and SK hynix look exposed; waiting for the cycle to turn. x.com x.comÂ
High-bandwidth memory supply may not keep pace with AI demand, supporting the memory makers. Anthropic's S-1 says SK hynix, Samsung and Micron are expanding capacity, but warns that large buyers or competitors could reserve much of the available output. x.comÂ
Tight memory supply keeps the AI memory supplier trade in bill-of-materials names if it persists. The investor aleabitoreddit reports an SK hynix shortage outlook through 2030 and an operating-margin result near 80%. HBM allocation and average-selling-price guidance are the next tests; Korea has already priced the earnings print, so the next move depends on who locks capacity. x.comÂ
China's domestic market lets YMTC and CXMT threaten Micron, Samsung Electronics and SK hynix without entering US products. China receives 15-25% of smartphones and PCs and is on a path to at least 20-30% memory share over the next several years; current leaders are much too optimistic. History suggests at least a near-term semiconductor rally even if the AI trade has topped. It likely has not: agentic AI should give the trade room to run into 2027. x.com x.com x.comÂ
SK hynix's signed long-term cloud contracts give its AI-memory demand greater visibility and may support sustained pricing. Fourteen agreements cover over 50% of 2027-28 production capacity; HBM4 shipments are ramping, with the company expecting HBM4 to exceed HBM3E in volume and revenue by Q4 2026. AI-memory cash generation and Kioxia investment gains also underpin planned 2026 shareholder returns of about 100 trillion won, including dividends and buybacks. x.com x.comÂ
