Test report DSG-1554 · Rev A · tested October 15, 2026
Memory & StorageDevice under test
Musk: China Will Mass-Produce Memory Chips by 2028
Elon Musk predicts China will mass-produce memory chips by 2028, praising Micron's pricing while criticizing Korean rivals Samsung and SK Hynix.
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- Elena Vasquez
Spec summary
- Musk predicts China will mass-produce memory chips by 2028.
- He praised Micron's pricing in the same statement.
- The remarks took direct aim at Korean memory rivals Samsung and SK Hynix.
- The prediction was reported by BigGo Finance.
- A 2028 timeline falls within the industry's standard five-year capacity planning cycle.

Elon Musk says China will mass-produce memory chips by 2028 — a two-word prediction that lands directly on the planning horizon of every DRAM and NAND buyer in the industry.
The remark, reported by BigGo Finance, carries weight because of who made it and what it touches. Musk didn't stop at the China timeline. He also praised Micron's pricing and, in the same breath, took aim at Korean rivals — the two memory giants, Samsung and SK Hynix, that currently dominate global supply.
For procurement teams, that's three claims packed into one statement, and each one matters differently depending on which side of the memory market you sit.
What does the 2028 date change?
If Musk's timeline holds, China would move from niche, domestically focused memory production to volume output within roughly four years. That's not a distant hypothetical — it's inside the typical five-year capacity planning cycle that fabs, OEMs, and hyperscalers work on today.
Chinese makers have chased memory independence for years, but mass production by 2028 would put them in direct price competition with established suppliers. Buyers negotiating multi-year DRAM or NAND contracts would suddenly have an alternative source with every incentive to undercut incumbents.
Nobody in the supply chain needs reminding what happened when Chinese entrants disrupted other component categories. Pricing power shifted quickly, and established vendors scrambled to defend margins.
Why single out Micron's pricing?
Musk's praise for Micron's pricing is the more immediate signal. He's effectively endorsing Micron as a competitive supplier on cost — meaningful coming from the CEO of Tesla and SpaceX, two of the largest chip consumers in the world.
For Micron, a public nod from Musk reads as validation of its pricing strategy at a moment when memory pricing pressure defines the market. For competitors, it's a warning shot that a major customer is watching price tags closely and isn't shy about saying so publicly.
What does this mean for Samsung and SK Hynix?
The swipe at Korean rivals is the sharpest edge of the statement. Samsung and SK Hynix, alongside Micron, control the overwhelming majority of global memory output. A customer of Musk's stature framing them as the expensive option — while China looms as a future low-cost alternative — puts pressure exactly where they can least afford it.
The subtext for practitioners: if you're buying memory today, expect vendors to get more aggressive on price, and expect contract negotiations to reference Chinese competition as leverage even before 2028 arrives.
How solid is the prediction?
Musk has a mixed record on timelines, and the report contains no technical detail on which Chinese producers or which memory types the 2028 claim covers. Mass-producing competitive DRAM is a different engineering challenge from producing it at acceptable yields and cost.
Still, the statement's market effect doesn't depend on its accuracy. When one of the world's most influential tech buyers says Chinese memory is four years away and Korean pricing is a problem, vendors and buyers alike will price that sentiment into their next round of deals.
Watch for responses from Micron, Samsung, and SK Hynix over the coming days — and for any hard capacity data from Chinese memory makers that either backs or undercuts the 2028 target.
via Google News: HBM memory (Source)
More from Elena Vasquez
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Senior reporter covering people, launches and day-to-day practice in hardware layer of artificial intelligence at Die Signal.
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