Token Costs Surge | Apple Bets Gemini | Payrolls Surprise

The selloff got much bigger after the jobs report. Yields ripped higher. AI stocks went the other way.

The Nasdaq is down more than 4%, its worst single day since April 2025. Nvidia (NVDA) and Broadcom (AVGO) are leading the decline. The same names that powered the rally higher are now doing most of the damage on the way down.

The Dow is holding up better, but today's message is clear. Valuation is back in the conversation in a way it has not been since April.

Strong economic data pushed yields above levels the market was comfortable with. When money gets more expensive, the highest-multiple stocks get repriced first.

The question is no longer whether AI demand exists. The question is how much investors are willing to pay for it when rates stay higher for longer.

Pull up Tesla's most recent SEC filing. Page 5.

And you'll see a single line showing $12 billion in revenue from a brand-new "super startup" Elon Musk has been quietly incubating inside Tesla.

This new "super startup" has nothing to do with cars or robots or space or AI…

But it sits at the center of what Blackstone calls "a $23 trillion investment opportunity."

And on July 22, Elon is expected to pull back the curtain and reveal exactly what he's building.

But Adam O'Dell already knows… and he reveals it all in this urgent video.

Morgan Stanley shared projections with top investors. SpaceX revenue hits $3.4 trillion by 2040. Goldman projected nearly $470 billion by 2030. The AI business drives almost all of the growth. Tonight, the book closes on the largest IPO in history.

Here is the problem those projections carry. They require xAI to grow roughly 100 times in five years. The same week those numbers circulated, xAI paused hiring for the specialists who train Grok. Morningstar valued SpaceX at less than half the IPO target. All of that sits on the same institutional desk as the $3.4 trillion number.

The S&P exclusion removed the $20 billion passive demand backstop. Retail allocation fills that gap now. Whether retail conviction holds at the same level as index fund mechanics is genuinely unknown.

What's In the Price

Tomorrow's first-hour trading is the cleanest read on conviction. A sustained trade above the offer price means institutional skepticism was overridden. Anything below means retail is doing the holding.

The Opening Bell

The projections and the concerns both exist simultaneously. Tomorrow morning, the market picks one.

Earlier this year, Anthropic refused to let the Pentagon use its AI for surveillance or autonomous weapons. The Defense Department responded by designating Anthropic a supply-chain risk, the first U.S. company ever to receive that label. It blocked tens of thousands of contractors from using Anthropic's tools.

That dispute is now showing signs of easing. Amodei visited the White House in April. He was invited to Trump's AI executive order signing Tuesday. Anthropic employees met with Treasury Secretary Bessent to discuss Mythos.

The timing is obvious. Anthropic is heading toward a near-trillion-dollar IPO. The Pentagon designation is a named revenue cap on the federal contractor market. Easing it before the IPO prices changes the institutional risk calculation for every investor building a revenue model.

The Pentagon is still defending itself in Anthropic's lawsuit. The thaw is real but unfinished.

The Resolution

A formal lifting of the designation before Anthropic prices removes the most specific named risk in the offering. Every day it remains, investors must discount federal contractor revenue from their models.

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Companies thought AI would save money. Instead it generated a new kind of cost problem nobody budgeted for. One company ran up a massive Claude bill after forgetting to set usage limits. Microsoft revoked developer licenses. Uber burned through its entire annual AI budget by April.

The core problem is simple. Token costs are rising far faster than the productivity gains they are supposed to generate. OpenAI's head of enterprise said conversations with customers have completely shifted. Nobody asks what AI can do anymore. They ask what cost controls and audit tools exist.

The Linux Foundation is launching the Tokenomics Foundation in July to build shared standards around AI cost measurement. That is the first institutional attempt to make AI spending defensible to boards and CFOs.

What's Forming

The Tokenomics Foundation's July launch matters beyond cost management. It is the first attempt to install the measurement layer that makes enterprise AI spending sustainable rather than just large.

The Enterprise Test

Any major company announcing AI budget caps in the next two quarters names the moment the token cost problem reached board-level attention. That announcement changes the enterprise revenue narrative for every AI provider.

Apple (AAPL) controls AI distribution for a billion users. Its device is in more pockets than any AI model reaches directly. For the entire AI cycle, Apple has not shipped a meaningful AI product. That changes next week.

The rebuilt Siri runs on Google's (GOOGL) Gemini technology. It offers personalized responses, a standalone app, and a paid tier. The original Siri launched 16 years ago with promises Apple never kept. The company later settled a lawsuit over features it marketed but never built.

A rebuilt Siri that actually works converts Apple from a bystander into a distribution toll booth. Every AI model company must then decide whether to route through Apple or compete directly with it for consumer access.

The Bottleneck

Developer adoption of the new Siri APIs next week is the leading signal. Developers building on it means Apple's AI layer becomes the route to consumers. Developers ignoring it means Apple stays a bystander for another cycle.

When SpaceX goes public, it could hit a $1.75 TRILLION valuation - that would be 3,000 times bigger than Amazon's IPO.

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May payrolls nearly doubled the Wall Street consensus. April was revised up significantly as well. The labor market does not need help. The June rate cut case is closed.

But the breakdown of where jobs were added tells a more interesting story than the headline. Leisure, hospitality, and local government led. Information services lost jobs for a second straight month. The sectors growing are the ones AI cannot yet replace. The sector shrinking is the one most exposed to AI knowledge work substitution.

Average wages cooled slightly despite the strong hiring. That one detail is the only data point giving Warsh room to hold rates without looking too accommodative into still-elevated inflation.

What the Composition Shows

The Fed's Path

Strong jobs closes the door on cuts. Cooling wages keeps the door from slamming on holds. That is a narrow path. It is the only one available heading into June 16.

The week ended with SpaceX pricing into a rate environment the AI trade had not faced before.

Payrolls doubled the consensus and yields rose. Anthropic's White House dispute is easing right before its IPO. AI token costs are generating a new industry to manage them. Apple rebuilds Siri on Google's technology next week.

The week answered some questions and ended nine straight weeks of gains. The harder ones start Monday.