What if a sovereign AI arms race redirects national budgets to chips?
A sovereign compute arms race is a structural capex tailwind: NVDA, AVGO and Micron (HBM) lead as budgets reallocate toward chips and power, lifting the whole semi complex modestly. Rhymes with the 2022 CHIPS Act and the post-May-2023 NVDA-guidance capex wave, both of which durably re-rated AI silicon. The forward kicker is power: grid/transformer and nuclear bottlenecks become the binding constraint, so the second-order trade is electrical equipment and uranium, not just GPUs.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (gold) over time vs the crowd's (Polymarket, blue), from the past toward the 1–3 years horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a mixed shock. A national AI/compute arms race reallocates major budgets toward chips and power. The trigger decomposes into signed root‑shocks — AI capex ▲ · Semiconductor supply risk ▲ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▲ +1.2% hist -0.04–+1.74% |
| 2 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▲ +1.0% hist -0.22–+0.61% |
| 3 | Micron MUon Hyperliquid 📈 chart | Equity | ▲ +0.9% hist -2.11–+1.36% |
| 4 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▲ +0.5% hist +-0.0–+0.71% |
| 5 | AMD AMDon Hyperliquid 📈 chart | Equity | ▲ +0.4% hist +0.08–+0.19% |
| 6 | Marvell MRVLon Hyperliquid 📈 chart | Equity | ▲ +0.4% hist -1.35–+0.74% |
| 7 | Qualcomm QCOMon Hyperliquid 📈 chart | Equity | ▲ +0.3% hist -3.59–+1.33% |
| 8 | ASML ASMLon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.74–+0.4% |
| 9 | Intel INTCon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -3.01–+1.3% |
Probable recommendation
Why we may diverge from history
Trust history's chip shorts (AMD hit-rate 0.94, QCOM, ASML, MU): dense clean on-channel 2024 capex-doubt and Taiwan-tariff analogues all sold semis; the cascade's arms-race-bid over-reaches as budgets crowd, not lift, every name.
Historical precedent — what analogous events actually did
Across 40 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| US dollar DXY | SHORT | -0.2% · 5d +-0.0% | 64% | 40 | 0.22 | · |
| Gold XAU | LONG | +1.1% · 5d -0.5% ↺ fades | 64% | 40 | 0.21 | · |
| AVGO AVGO | SHORT | -0.6% · 5d -2.8% | 60% | 39 | 0.19 | ⚠ differs |
| AMD AMD | SHORT | -0.0% · 5d -2.7% | 61% | 40 | 0.17 | ⚠ differs |
| QCOM QCOM | SHORT | -3.4% · 5d -3.3% | 61% | 40 | 0.17 | ⚠ differs |
| INTC INTC | SHORT | -2.9% · 5d -3.5% | 57% | 40 | 0.13 | ⚠ differs |
| ASML ASML | SHORT | -0.8% · 5d -2.2% | 57% | 40 | 0.11 | ⚠ differs |
| 10y yield DGS10 | LONG | +3bp · 5d +1bp | 57% | 40 | 0.11 | · |
| MU MU | SHORT | -2.5% · 5d -3.5% | 57% | 40 | 0.10 | ⚠ differs |
| MRVL MRVL | SHORT | -1.5% · 5d -2.1% | 57% | 40 | 0.10 | ⚠ differs |
| High-yield credit HYG | SHORT | -0.1% · 5d +0.2% ↺ fades | 56% | 39 | 0.09 | · |
| SMH SMH | LONG | +0.4% · 5d -0.9% ↺ fades | 52% | 40 | 0.04 | ✓ matches cascade |
| Volatility VIX | LONG | +2.5% · 5d -0.0% ↺ fades | 52% | 40 | 0.04 | · |
| NVDA NVDA | LONG | +1.0% · 5d -3.1% ↺ fades | 39% | 40 | 0.00 | ✓ matches cascade |
Why this probability
Already underway: sovereign compute/chip/power budgets surging globally; trend continues, not a discrete tail. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.