Did Micron's Jul 1 'Meta Compute' selloff break it from fellow chip suppliers, or hit the whole group?
Treated: MU. Donors: AMD, NVDA, INTC (AI/GPU-chip suppliers facing the same demand-destruction read). Hand-picked, not algorithmic. Treatment date is 2026-07-01: Meta announced 'Meta Compute,' a plan to resell its own excess AI infrastructure capacity, which the market read as evidence hyperscaler GPU demand may be peaking rather than perpetually scarce. Chip suppliers sold off hard the same day (MU -10.6%, AMD -6.9%, NVDA -1.25%, the Philadelphia Semiconductor Index down over 10% across the next two sessions), even as META itself rose about 9% on its own announcement: a genuine divergence between the company making the move and the suppliers reading it as bad news. This is a different mechanism from sndk_supply_glut_fear (that one was about NAND/DRAM oversupply from Samsung/SK Hynix; this one is about AI-chip demand destruction from a hyperscaler reselling capacity instead of buying more). Tests whether MU's outsized drop was company-specific or the whole chip-supplier group re-priced together on the same news.
Actual vs. synthetic counterfactual
ActualSynthetic (counterfactual)
Fit quality
Fit-window RMSE29.1717
RMSE ÷ fit-window std dev0.35×
Fit-window days124
Confound-window mean gapn/a (fit-end = treatment date)
Post-period mean gap+50.08
Placebo test: same method run on every unit, treated one highlighted
Unit
Mean post-period gap
Max abs. gap
NVDA
-113.60%
162.39%
MU (treated)
+50.08%
86.34%
INTC
-37.08%
69.71%
AMD
+23.37%
45.03%
Verdict
MU's post-period gap ranks #2 of 4 units by absolute size in the placebo test (larger rank = more likely a real, unit-specific effect rather than noise the method would produce for any random unit).
Read: this does NOT look like a clearly unit-specific effect; other units in the placebo test show gaps of similar or larger size, so this could just be estimation noise rather than a real, distinct move.