To The Moon

At 4.2%, headline inflation hit a three-year high. It looks scary on the surface. But the inflation signal that matters more for the Fed is actually moving lower. And last night’s sell-off in U.S. stocks may have had more to do with Iran risk than with inflation itself.

Two major events collided last night: US headline CPI for May came in at 4.2% year-over-year, while the three major US stock indices nosedived in lockstep, with the Dow shedding nearly 1,000 points. Post-market commentary was practically unanimous: sticky inflation will force a hawkish pivot from the Fed, hence the market sell-off.

This assessment gets the market logic backward.

1. Hawkish Headline, Dovish Core

Let’s break down the CPI data first. While the 4.2% headline figure is jarring, it’s not the primary signal the Fed anchors its decisions on.

• Core CPI (which strips out volatile food and energy costs) grew by just 0.2% month-over-month, undershooting the market consensus of 0.3%.

• Year-over-year core inflation came in at 2.9%, broadly in line with expectations.

More importantly, look at the composition: energy alone accounted for over 60% of the month's entire increase. In other words, strip away the oil price noise, and underlying inflation is actually cooling, not accelerating.

This is the real story: hawkish headline, dovish core. The numbers strike a menacing pose, but underneath, the disinflationary trend remains intact.

2. The Iran Factor: A Supply-Side Shock

So, why did energy prices spike? Trace that thread back, and the answer lands on Iran.

Yesterday, Trump declared that negotiations with Iran had "dragged on for too long," threatening to "strike them very hard." In response, WTI crude jumped 2% to cross $90, while Brent climbed to $93. Geopolitical risk pushed oil prices higher, which then bled into the headline CPI.

Therefore, the “inflation” embedded in that 4.2% figure was largely a geopolitical oil shock, not the result of overheated demand or overly loose monetary policy. Historically, the Fed rarely uses rate hikes to combat this kind of supply-side, relative-price shock. After all, raising interest rates won't cap an oil well in the Middle East.

3. What Actually Drove the Market Sell-Off?

Once you peel back this layer, it becomes clear that CPI was never the main culprit behind last night’s market plunge.

The Dow closed down 953 points (1.87%), and the Nasdaq fell nearly 2%. The tape was actually driven by two distinct catalysts:

1. The Iran Situation: Trump’s threats pushed oil prices higher and ignited risk-off sentiment.

2. AI and Semiconductor Profit-Taking: Nvidia, Apple, and AMD lost ground across the board, while Super Micro Computer (SMCI) plummeted 12% in a single day following a massive equity financing announcement.

Given that the core CPI data skewed dovish, the inflation report itself shouldn’t have triggered a sell-off. Blaming the sell-off on CPI essentially double-counts the same Iran-driven oil shock: once as an inflation scare, and again as a stock-market headwind. The market effectively took a single geopolitical shock, split it into two separate negatives, and double-priced the risk.

4. The Outlook: How to Read the Next Move

So the real macro narrative last night was not “runaway inflation forcing the Fed into a hawkish pivot.” It was “geopolitical oil risk plus AI valuation digestion.” Looking at the rate-cut path ahead: as long as core inflation keeps cooling, an energy-driven rebound in headline CPI is unlikely to derail the Fed’s rate-cut path on its own. The real wildcard is whether oil prices keep spiraling higher from here.

Moving forward, there are only two threads worth watching:

• Whether the Iran situation escalates further and if oil prices can stabilize.

• Whether the next round of inflation and employment data shows core metrics continuing to cool, or if they start being dragged upward by energy costs.

Once you separate these two threads, the market narrative becomes clear. The more the market panics, the more critical it is to look past the surface and peel back the layers of the data.

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