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From Token-maxxing To Token-panic: Citrini Warns AI Goldilocks Narrative Hitting A Wall

Zero Rss
1 week 3 days ago
From Token-maxxing To Token-panic: Citrini Warns AI Goldilocks Narrative Hitting A Wall

When the world and their pet rabbit was buying the hype and extrapolating trends to infinity and beyond, we dared to highlight a few 'economic' realities of the new 'tokenomics'.

From Singularity To Tokenomics: The AI Narrative Just Hit A Serious Snag

Was Amazon's Tokenmaxxing Fiasco Behind Claude's $500M Mystery Bill?

From Singularity To Tokenomics, Part II: The Subsidy Just Ran Out - And GitHub Users Went Splat

This morning we got confirmation of this AI reality questioning from none other than Goldman Sachs Partner, Rich Privorotsky, who highlighted that Token Spend had 'peaked'...

And now, Citrini Research - who infamously issued a less than utopic view of the world under AI back in March - has written a follow up on the status quo of the AI ecosystem, noting that in just weeks we’ve gone from tokenmaxxing to tokenpanic.

In March, we and many others were writing about the astounding growth in token consumption driven by the release of agents and more intensive models.

This was enough to send the infrastructure trade sharply higher – the market value of the semiconductor industry doubled in two months.

But that goldilocks narrative is beginning to hit a wall. The corollary of explosive token usage is explosive cost to customers, which is coming just as the US labs and hyperscalers are turning up the dial on monetization. The public story is increasingly turning to corporate pushback.

The first real signs of this shift were from the much-discussed report of Uber burning through its entire AI budget in just four months.

Then there was the anonymous report of a $500 million oopsie.

In the past week, the idea has turned into a media avalanche.

According to The Economist’s reporting, Anthropic’s ARR has increased 5x since the start of the year, reaching $45 billion in May.

Great for the lab, but it also means the “AI Opex” line item on P&Ls is going through the roof.

The issue is not just Anthropic. Sam Altman also confirmed that all of a sudden cost is a huge issue (and acknowledged the virality of the idea).

“Probably the second biggest theme is just around cost. People are really saying, it’s kind of become a meme now, but, “My company spent my entire 2026 budget in Q1. Can you make this more efficient?” We are continuing to push on that more with models. I think we’ll have a lot of ways we can help people get more value for less spend, but that went from, at the beginning of this year, an issue that never came up. I know. People were totally happy with the amount they were spending, to all of a sudden, a huge issue.”

Microsoft’s AI Chief added to the unflattery this week after cancelling Claude Code licenses in May.

“Anthropic is extremely expensive, and I think many people are urgently looking for alternatives”

This cost concern didn’t just come out of nowhere.

First, agents and more advanced reasoning models use orders of magnitude greater tokens.

Corporates have widely distributed these tools and encouraged their use just as the average user was gaining the ability to casually run enormous bills.

Second, prices for frontier models are increasing as providers are flipping to usage models and preparing for public market debuts.

In a unified front – OpenAI, Anthropic, Microsoft, and Google – have all implemented pricing shifts towards usage/tokens, as they simply can’t afford to endlessly subsidize their products for power users.

  • April 2: OpenAI changed Codex pricing to align with API token usage instead of per-message pricing

  • May 19: Google changed Gemini subscriptions from “daily prompt limits” to a “compute-used” model.

  • June 1: Microsoft’s GitHub Copilot transitioned to usage based billing

And what does a rate sheet mean really if you have no idea what your usage burns in practice?

Claude’s Opus 4.7 & 4.8 have the same “list price” as prior versions, but use a “new tokenizer” that may use up to 35% more tokens for the same fixed text.

Is this an existential problem or just the VC playbook at unimaginable scale?

Subsidize demand, gain market share and lock-in, then monetize. After all, companies are spending a trillion in capex to make trillions in revenue, right?

Well either way we’ve reached Monetization, and maybe not by choice. As fast as lab revenue is growing, the fundraising has grown even faster.

The money going towards building and running AI has exploded. The deepest pockets in the world – hyperscaler cash flow, venture capital, sovereign wealth, public credit, private credit, public equity – are footing most of the bill. Eventually, customers have to start picking up the tab.

Free-AI is ending. Tokenomics is beginning.

What happens when underlying costs of compute become more transparent and directly traceable to outcomes? The ROI debate is about to be answered in real time, across millions of users and use cases.

For the median user, maybe not a whole lot changes. But science projects, freewheeling agents, and curiosities will either get cut or offloaded to open source models. Companies will restrict AI functionality and invest in oversight and observability. Budget constraints will pit AI spend against headcounts. Providers will become more competitive on pricing and will begin to optimize physical and digital architecture for efficiencies.

In many (most) situations, good enough will do. The cost of running open-source, discount, or mini models is going down while their capabilities only improve. This week saw another batch of open source models like Nvidia latest Nemotron family which includes advanced general-purpose models as well as highly efficient, compact versions optimized for local deployment and specialized agentic uses. As the frontier continues to advance, inference costs drop precipitously for a fixed level of intelligence. Why rent a Ferrari when a Vespa does the trick?

Of course, frontier models with highly specialized functions can continue to command an intense premium, but will serve a smaller segment of the market. A top lawyer can still bill at thousands per hour, even if millions of other workers are making minimum wage.

But even across the high end, the gap between US and Chinese offerings is worth noting. Qwen 3.7 and Deepseek V4 are still behind Opus 4.8 and GPT 5.5 in terms of benchmarks, but they are 10x - 25x cheaper.

Since releasing V4 Pro and V4 Flash in April, Deepseek has shot past Anthropic to the top of the charts on OpenRouter in terms of tokens processed.

Meanwhile, Cursor, one of the most used coding agents, released their new model that was post-trained on compute provided by xAI after their $10 billion deal. The base model is a different Chinese open source model by Moonshot and it was trained on data Cursor gets from its customers. The results are even stronger than Deepseek, it’s comparable to 4.7 and 5.5 for 10x lower cost per task and is one of the fastest frontier models.

There are obvious other “considerations” for large US enterprises that may prevent a mass exodus to Chinese alternatives. Plus, greater integration into workflows adds to lock-in. But there is a growing trend of application layer companies that will continue to post-train on open source base models for specialized workflows like coding and legal.

But what does this mean for the AI trade?

First, to be clear, revenues for labs and hyperscalers are going to grow. Token usage for top Anthropic models continues to go higher. Regardless of the pushback, frontier models can certainly create meaningful value especially in high-stakes fields like tech and finance, and there are still plenty of levers to pull in the monetization phase. The entire point is for them to start making money.

Likewise, this won’t fix near-term compute constraints.

But we do think that cost and efficiency only become more important as the bills get bigger. Themes of local inference, miniaturization, smart routing, observability, price competition, and efficient model architecture will grow. Competitive pressures and price competition are likely to stay.

Subscribers can read the rest of Citrini's note here...

Tyler Durden Wed, 06/10/2026 - 10:20
Tyler Durden

10 Reasons You Shouldn't Ignore This Week's Sharp Reversal And Selloff

Zero Rss
1 week 3 days ago
10 Reasons You Shouldn't Ignore This Week's Sharp Reversal And Selloff

Submitted by QTR's Fringe Finance

Today’s reversal and selloff may end up being just another volatile session in an ongoing bull market. But I think investors would be making a mistake if they dismissed it outright, because it might not be. Sharp reversals often reveal underlying stress that has been building beneath the surface long before it becomes obvious in the major indices.

Here are ten reasons today’s move deserves attention.

1. Valuations Are Historically Extreme — The market is entering this period of volatility from one of the most expensive starting points in history.

The Shiller CAPE ratio recently pushed above 40x, a level only seen during the dot-com bubble and the post-pandemic liquidity boom. Meanwhile, total U.S. market capitalization sits around 237% of GDP, putting Buffett Indicator readings near all-time highs.

History doesn’t tell us exactly when valuations matter. It does suggest that when starting valuations reach these levels, future returns become increasingly dependent on continued optimism rather than fundamentals.

2. The SpaceX IPO Could Be a Sentiment Marker — For months, I’ve speculated that a potential SpaceX IPO could coincide with a market top. Market peaks are often characterized by investors assigning extraordinary valuations to extraordinary companies.

Asking public investors to absorb one of the largest and most highly valued IPOs in history is a difficult proposition when liquidity conditions are tightening, valuations are already stretched, and risk appetite is showing signs of fatigue.

3. Crypto Remains the Tip of the Risk-On Spear — Crypto continues to function as the purest expression of speculative risk appetite:

Michael Saylor and Strategy appear to be doing everything possible to defend both the price of Bitcoin and investor confidence surrounding the Bitcoin treasury trade. Yet recent attempts to support sentiment have not generated the response bulls were hoping for.

As I’ve argued for some time, if crypto begins to crack meaningfully, it will likely be a warning sign for broader risk assets. Historically, the most speculative assets tend to weaken first. If crypto goes, the rest of the market rarely remains immune for long.

🔥 80% Off If You Subscribe Today: This coupon allows for 80% off of annual subscriptions and results in a 85% savings over paying the monthly rate for a subscription to the blog. You keep the discounted rate for as long as you wish to remain a subscriber: Get 80% off forever

4. Violent Price Swings Are Characteristic of Market Tops — One of the most overlooked warning signs isn’t the direction of the market—it’s the behavior of the market.

A -3% Nasdaq session followed by a +2% rebound and then another -3% decline is not evidence of stability. It’s evidence of uncertainty.

Major market tops are often accompanied by increasingly violent swings as institutional investors distribute risk while retail investors continue buying dips. Volatility expands, conviction falls, and price action becomes erratic.

Healthy bull markets tend to climb steadily. Topping processes tend to look chaotic.

5. The Consumer Is Running Out of Room — The U.S. consumer remains the backbone of the economy, but cracks continue to emerge: The American Consumer Is Piss Broke.

Credit card balances remain elevated, delinquency rates are rising across several lending categories, savings buffers have largely been exhausted, and wage growth is no longer providing the same cushion it did several years ago.

Consumers can continue spending longer than many expect, but the direction of travel is becoming increasingly difficult to ignore.

6. Treasury Auctions Continue to Show Sporadic Demand

Today’s 3-year Treasury auction tailed, reinforcing concerns that demand for U.S. government debt remains less robust than policymakers would prefer: The Bond Market Is About To Break Washington.

While one auction does not make a trend, repeated tails suggest investors require higher yields to absorb the growing supply of Treasury issuance.

The bond market remains the most important market in the world. Right now, it still looks uneasy.

7. The Next Fed Chair Won’t Have Many Easy Options — The next Federal Reserve chair may inherit one of the most challenging policy environments in decades: New Fed Chair Kevin Warsh’s Job Is Impossible.

If inflation remains sticky, aggressive rate cuts become difficult. If growth slows meaningfully, keeping rates elevated becomes painful. And if asset prices begin falling while inflation remains above target, policymakers could find themselves trapped between conflicting objectives.

The old playbook of simply cutting rates to rescue markets may not be available.

8. Credit Markets Are Sending Warning Signals — For months I’ve been arguing that investors are ignoring a growing list of warning signs across the economy and financial markets.

Private credit continues to show signs of stress, yet receives remarkably little attention compared to equities. But private credit is only one area to watch: 10 Areas Of The Market I'd Avoid Right Now

Credit problems rarely stay contained. They spread slowly, then all at once.

9. Market Breadth Remains Fragile — Index performance continues to mask weakness underneath the surface.

A relatively small group of mega-cap technology names still accounts for a disproportionate share of market gains. When leadership narrows to a handful of stocks, markets become increasingly vulnerable to sudden sentiment shifts.

The broader the participation, the healthier the rally. Narrow leadership often emerges late in the cycle.

10. Rate Hikes Are No Longer Unthinkable — Perhaps the biggest assumption embedded in markets today is that the next move from the Fed will eventually be lower rates: Time For Rate Hikes

But if inflation proves more persistent than expected—or begins accelerating again—the conversation could shift in a hurry.

Markets have largely priced a future of easing. They are far less prepared for a future in which policymakers are forced to tighten again. Even if additional hikes never arrive, the fact that they’re back in the conversation should get investors’ attention.

Final Thought

No single indicator rings a bell at market tops. But when extreme valuations, weakening credit conditions, volatile price action, fragile consumer finances, and growing policy constraints begin appearing simultaneously, investors should pay attention.

Today’s reversal may ultimately prove meaningless…but could also be one of those days that looks much more important in hindsight. I think it could be the latter.

--

QTR’s Disclaimer: Please read my full legal disclaimer on my About page here. This post represents my opinions only. In addition, please understand I am an idiot and often get things wrong and lose money. I may own or transact in any names mentioned in this piece at any time without warning. Contributor posts and aggregated posts have been hand selected by me, have not been fact checked and are the opinions of their authors. They are either submitted to QTR by their author, reprinted under a Creative Commons license with my best effort to uphold what the license asks, or with the permission of the author.

This is not a recommendation to buy or sell any stocks or securities, just my opinions. I often lose money on positions I trade/invest in. I may add any name mentioned in this article and sell any name mentioned in this piece at any time, without further warning. None of this is a solicitation to buy or sell securities. I may or may not own names I write about and are watching. Sometimes I’m bullish without owning things, sometimes I’m bearish and do own things. Just assume my positions could be exactly the opposite of what you think they are just in case. If I’m long I could quickly be short and vice versa. I won’t update my positions.

As of May 20, 2026 I personally no longer actively trade (read my story here). My investing/saving is done by recurring contributions mostly to sector ETFs and a few select equities, trusted third parties who oversee my accounts, and advisors. Such advisors or funds, through individual equities, options, index funds, mutual funds, ETFs, or other securities, may have positions in, exposure to, or holdings of names mentioned herein that I know nothing about. Basically, via index funds, ETFs and individual equities it is possible I could own, have exposure to, or not own anything at any point. As of the same date, May 20, 2026, in an attempt to lead a healthier lifestyle, I’ve also excluded myself from fantasy sports, sports betting, online and in-person casinos and prediction markets.

And all positions can change immediately as soon as I publish this, with or without notice and at any point I can be long, short or neutral on any position. You are on your own. Do not make decisions based on my blog. I exist on the fringe. If you see numbers and calculations of any sort, assume they are wrong and double check them. I failed Algebra in 8th grade and topped off my high school math accolades by getting a D- in remedial Calculus my senior year, before becoming an English major in college so I could bullshit my way through things easier.

The publisher does not guarantee the accuracy or completeness of the information provided in this page. These are not the opinions of any of my employers, partners, or associates. I did my best to be honest about my disclosures but can’t guarantee I am right; I write these posts after a couple beers sometimes. I edit after my posts are published because I’m impatient and lazy, so if you see a typo, check back in a half hour. Also, I just straight up get shit wrong a lot. I mention it twice because it’s that important.

Tyler Durden Wed, 06/10/2026 - 10:00
Tyler Durden

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