What the Market Expected
In late March 2025, the consensus on Wall Street was cautiously optimistic. The tariffs would be "targeted" - 10-15 countries, maybe 25% on China, exemptions for allies. The phrase you heard everywhere was "less bad than feared."
The S&P 500 was pricing in a negotiating tactic, not a global trade war.
Our simulation disagreed.
The Simulation's Prediction
Using 39 AI agents - trade policy officials, central bankers, corporate CFOs, agricultural exporters, bond traders, and political strategists - we ran a 30-round simulation of the Liberation Day tariff scenario.
The key predictions:
1. Brief Relief Rally, Then Rapid Risk-Off
The simulation predicted that markets would initially rally on the announcement (interpreting scope as a negotiating position) before rapidly repricing as the global scope became clear. This is exactly what happened - a brief uptick followed by the S&P 500 crashing more than 10% in the subsequent trading days.
2. Global Scope, Not Targeted
While the consensus expected targeted tariffs, our simulation predicted global application. The agent representing the trade policy architect operated on a "reciprocity" logic that demanded universal coverage - you can't claim "fairness" while exempting allies.
3. Agriculture Targeted First in Retaliation
The simulation's China and EU agents consistently chose agricultural commodities as the retaliation vector. The logic: agricultural exports are politically concentrated in swing states, making them the maximum-leverage target. Soybeans, pork, and grain exports were flagged specifically.
4. Bond Market Stress as the Real Constraint
This was the simulation's non-obvious finding. Stock market volatility gets headlines, but the simulation predicted that bond market stress would be the actual force that constrained policy.
The mechanism: tariffs → inflation expectations → bond sell-off → rising yields → financing costs for government debt → political pressure to de-escalate. The stock market crash is a symptom. The bond market is the constraint.
This turned out to be the proximate cause of the 90-day pause. Not the stock market decline, not the political pressure - the bond market was approaching crisis territory.
5. The Internal Navarro vs. Bessent Dynamic
The simulation modeled the internal policy tension between hawkish trade advisors (Navarro) and market-sensitive Treasury officials (Bessent). It predicted that this dynamic would create a face-saving mechanism: the rhetoric would stay broad while the implementation would narrow.
The 90-day pause with continued negotiations was exactly this pattern - maintaining the tough stance publicly while creating practical off-ramps.
6. Partial Walk-Back
The simulation's clearest prediction: the tariffs would not survive in their announced form. Some combination of exemptions, delays, and bilateral deals would narrow the effective scope within 90 days.
On April 9, 2025 - one week after Liberation Day - the administration announced a 90-day pause on most tariffs. The S&P 500 surged 9.52% in a single day, its largest gain since 2008.
The Scorecard: 9 HITs, 1 PARTIAL
| Dimension | Result |
|---|---|
| Market crash (S&P 500 down >10%) | HIT |
| Global scope ("sledgehammer not scalpel") | HIT |
| Agricultural retaliation targeting | HIT |
| Bond market stress → policy constraint | HIT |
| Policy walk-back / 90-day pause | HIT |
| Navarro vs Bessent → face-saving narrowing | HIT |
| Electronics exemption (April 11) | PARTIAL |
| Consumer price surge expectations | HIT |
| Legal challenges to IEEPA authority | HIT |
| Trade negotiation leverage | HIT |
The PARTIAL was on electronics exemptions - the simulation predicted sector-specific exemptions would emerge but didn't specifically flag electronics as the first category. The logic was present; the specific sector wasn't.
What Traditional Analysis Missed
The consensus analyst view focused on tariff rates and country lists. Our simulation focused on the system dynamics: how different stakeholders would react to each other's reactions over time.
The bond market insight is the clearest example. No equity analyst we've seen published a note saying "the bond market will force a policy reversal." The simulation surfaced this because it modeled the feedback loop: tariffs → inflation → bonds → financing costs → political constraint. Each step required modeling a different stakeholder group's reaction to the previous group's move.
The Two-Wave Impact Model
The simulation also predicted a specific pattern in economic impact:
- Wave 1: Immediate retail price shock - consumers face higher prices on imported goods, sentiment drops, spending adjusts.
- Wave 2: Retaliation-led constituency shock - agricultural exporters lose markets, manufacturing supply chains are disrupted, the economic pain shifts from consumers to producers in politically sensitive regions.
The Takeaway
Trade policy isn't just economics. It's a multi-stakeholder system where markets, governments, industries, and populations react to each other in cascading sequences. Modeling the system - not just the policy - is what separates prediction from punditry.
Our simulation didn't know the tariff rates or the country list. It knew the dynamics - and that was enough to predict the outcome with 95% accuracy.
Read the full tariff case study at /case-studies/tariffs. Have a policy scenario you need to simulate? Contact us.