US futures are but well off session lows, as part of a weaker risk tape after the US and Iran exchanged strikes, fueling doubts whether an end to the war is imminent and crushing hopes for a Hormuz deal (gasp).Overnight, US forces carried out airstrikes on an Iranian military site which Centcom described as "purely defensive" and designed to maintain the ceasefire; it also imposed new sanctions to prevent Tehran from profiting from vessels transiting the Strait of Hormuz. In response, Iran targeted the American airbase from which the attack originated. Centcom said that Kuwait also intercepted a ballistic missile launched toward it. While S&P futures initially tumbled as much as 0.5% on the news in overnight trading, they since recovered much of the losses, but were still down 0.2% as of 8:00am, with Nasdaq futures down 0.5%. In premarket trading, Mag7 names are mostly lower as Semis are sold and Software bid post earnings releases. Defensives and Energy are the notable outperformers as the market resumes its US / Iran playbook; EM likely to underperform DM. Bond yields are up 1-2bp as the yield curve bear flattens; the 10Y is up to 4.50%, after earlier rising to 4.53%. Crude prices are not seeing as dramatic of a response as earlier in the conflict; natgas is trading lower, Ags higher, and metals for sale as USD sees a bid. Today’s macro data focus is on PCE, Income, and Spending to gauge the depth of the impact from the Middle East Conflict with add’l updates to Durable / Cap Goods, Jobless Claims, and 26Q1 GDP revisions. Aside from a resumption of the kinetic conflict / failure for a deal, JPMorgan views inflation as the biggest risk to Equities with bond yields as the transmission mechanism. Today’s print will be important but given the status of the conflict, next month’s CPI print is likely the more important print.
In premarket trading, Mag 7 stocks are mostly lower (Microsoft +0.9%, Meta +0.2%, Apple -0.2%, Amazon -0.4%, Alphabet -0.5%, Nvidia -1.1%, Tesla -1.3%)
In other news, Snowflake surged after the software maker gave a stronger-than-expected annual outlook and signed a $6 billion multi-year agreement to use Amazon’s cloud services and chips. In contrast, Salesforce results and outlook didn’t do enough to erase concerns over AI-related disruption. D.A. Davidson’s Gil Luria said the shift to AI for Salesforce is taking longer than expected. In terms of space exploration and drone technology, the Trump administration is said to be negotiating funding deals with drone companies designed to boost production and lower weapon costs, according to the WSJ. Space exploration has all the ingredients “for the next bubble squeeze,” according to Mike O’Rourke of Jonestrading.
The latest flare-up between the US and Iran showed the fragility of their ceasefire, despite most traders viewing a lasting deal between the sides as only a matter of time. The prospect of oil-driven inflation is also building, prompting central bankers to increasingly warn that interest rates may need to rise.
“The market is caught between two very different worlds,” said Aneeka Gupta, director of macro-economic research at Wisdomtree. “One where we get a deal, and you have a follow-through of a very powerful cyclical recovery, and another where the conflict process deepens the stagflation impact on the economy.”
WTI crude oil rose but remained below levels seen earlier in the week. Bloomberg Economics notes that Trump retains market-moving power on the commodity. “If we adjust for the drop in background volatility since the ceasefire with Iran began, each headline from the White House still moves crude-oil prices by the same amount as it did in the early days of the war,” he says. For stocks, volatility remains low and the ‘vol of vol’ gauge hit a rarely seen sub-90 reading on Wednesday.
Less than a day after Federal Reserve Governor Lisa Cook warned that inflation was headed in the wrong direction, Minneapolis Fed President Neel Kashkari told CNBC that consumer prices were still “much too high.” The Fed’s Philip Jefferson said that inflationary risks remained tilted to the upside even as he expects the effects of tariffs and higher energy costs to wear off. The ripple effects of the war will occupy the European Central Bank even after the conflict is resolved, according to Chief Economist Philip Lane.
Elsewhere, the AI bull case faces a headwind in the form of rising token costs, raising the question of whether escalating Large Language Model expenses now present a bigger risk to the AI trade than equity valuations. The Silicon Data LLM Token Expenditure Index, measuring the dollar cost per one million tokens, has doubled in six months.
Goldman's Delta One head Rich Privorotsky joined the discussion overnight with the following observation on Token economics:
"Reading that DeepSeek reportedly cut token pricing by 75% and Xiaomi’s MiMo by almost 99% immediately brought back memories of the old Groupon subsidy wars and the inevitable race to the bottom economics of commoditized delivery. There’s also been a massive rise in open-source enthusiasm. I was honestly blown away running an 8B version of Qwen locally on a four-year-old MacBook last night (ok it couldn't do much but it felt downloading the internet in 5gb...18ms ago you would have need a data center for this!). Notably, Chinese onshore datacenter and AI infrastructure names have diverged sharply post release (they all went down).Maybe a bit of a leap here but I think the market is beginning to ask whether token cost compression temporarily breaks the logic of pure Jevons paradox demand expansion. It's not whether demand ultimately rises… it probably does… but whether there is a meaningful lag where cheaper tokens simply cannibalize higher cost inference before entirely new use cases emerge. Nobody is arguing open source models are fully comparable to frontier systems, although the quality gap is clearly narrowing quickly. The more important point is that a huge percentage of enterprise tasks simply do not require frontier level reasoning or expensive inference. That becomes a major boardroom conversation into Q2/Q3.Rationalization of token spend may become just as important as the AI growth narrative itself, particularly when “90% of the output for 10% of the cost” becomes increasingly viable through open source alternatives."
Source: ZeroHedge News
