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The Two Ugly Paths Now Facing The US Economy

Zero Rss
3 weeks 4 days ago
The Two Ugly Paths Now Facing The US Economy

Submitted by QTR's Fringe Finance

I was watching Andrew Ross Sorkin on 60 Minutes last Sunday. Sorkin was on the show to promote his new book, 1929: Inside the Greatest Crash in Wall Street History — and How It Shattered a Nation.

When Leslie Stahl asked him during his interview whether we would have another crash, Sorkin answered: “The answer is, we will have a crash. I just can’t tell you when, and I can’t tell you how deep. But I can assure you, unfortunately, I wish I wasn’t saying this, we will have the crash.”

At one point he says “We are either living through some kind of remarkable boom, [or we’re reliving] 1929.”

I thought to myself: hell, I can do better than that, and I didn’t even write a book about 1929. Because at this point, the real question is not whether we are headed toward some sort of financial reckoning…the question is what form that reckoning takes.

And after looking at the current economic landscape, I increasingly believe there are only two realistic outcomes over the next several years: a soft default through inflation or a hard default through financial crisis. The former seems more likely than the latter, and can be confusing to people because nominal prices staying steady or rising while inflation runs out of control won’t look like a “crash” that most of 60 Minutes’ viewers will expect. It’ll be a crash upward.

To understand why, let’s start with where we are right now and summarize a lot of what I’ve written about over the past month or two. There’s four key things I’m watching:

  1. inflation

  2. market valuation

  3. the consumer

  4. the bond market

These four things have worked together to produce a combination that I believe is close to locking up the economy and taking away any response options from the Central Bank that won’t have immediate and ugly consequences.

Inflation remains structurally above the Federal Reserve’s target despite one of the most aggressive rate-hiking cycles in modern history. Even now, inflation is still running around 3.8%, nearly double the Fed’s stated objective. This is no longer a temporary post-pandemic distortion that policymakers can dismiss away with optimistic forecasts and revised models.

Inflation has become embedded across the economy, from housing and insurance to healthcare, wages, food, and government spending itself. The cost structure of modern American life has permanently shifted upward, while policymakers continue pretending that a return to stable 2% inflation is just around the corner. It’s not.

At the same time, financial markets continue to trade at historically stretched valuations. The Shiller P/E ratio sits around 42x versus its mean of 17.3x and market capitalization relative to GDP has surged above 230%, levels associated not with healthy long-term expansion but with periods of deep speculation and excess.

A better way to look at this instead of valuations are high is that the market is extraordinarily vulnerable to falling further in percentage terms. When valuations become detached from underlying economic reality, the downside risk grows larger because there is simply farther to fall once confidence breaks. Expensive markets do not automatically cause crashes, but they create the conditions where even modest disappointments can trigger violent repricing. Especially if the market’s rally has been on poor breadth and the result of speculation on options and the passive bid.

Beneath the surface, delinquency data shows that the consumer is tapped out. Student loan delinquencies have surged back toward record levels as repayments resume into an economy where borrowing costs and living expenses have both exploded higher.

Credit card delinquencies are now sitting at their highest levels since the aftermath of the financial crisis, while auto loan defaults, especially among subprime borrowers, have reached multi-decade highs. Americans are financing $50,000 vehicles with monthly payments exceeding $750 at interest rates that would have seemed absurd just a few years ago.

Consumers have largely maintained spending not because household finances are healthy, but because they have increasingly relied on debt to sustain a standard of living that inflation has steadily eroded.

And the rate at which consumers are saving is dwindling significantly now.

But the most important warning signal in the economy is not the stock market or the consumer. It is the bond market.

Under normal economic conditions, weakening growth and financial stress would push long-term Treasury yields lower as investors seek safety and begin pricing in future Federal Reserve easing. Instead, the opposite is happening. The 10-year Treasury yield remains around 4.5%, while the 30-year Treasury has pushed above 5%. Those are not comforting numbers. They reflect a growing discomfort with the long-term fiscal trajectory of the United States itself.

This is the trap the United States now finds itself in.

And because of these four factors, I believe there are only two paths we can go down. The more likely path I think puts gold eventually on a (rocky and volatile) tracjectory to eventually get to $10,000.

The first, and in my view the more likely outcome, is the soft default. This is the inflationary path where policymakers ultimately choose to save the Treasury market through monetary intervention. They will not describe it as money printing, of course. They will use softer language such as liquidity support, balance sheet management, market stabilization, or yield curve control. But the mechanism is ultimately the same. The Federal Reserve creates money in order to purchase government debt and suppress long-term yields before the Treasury market becomes unstable.

This approach would almost certainly succeed in stabilizing borrowing costs in the short term. But it would come at the expense of the currency itself. That is why I increasingly believe the next major crash could actually be an upward crash. Stocks may continue rising in nominal terms. Gold could surge. Real estate and hard assets may inflate even further. On paper, asset values appear strong and financial markets may even seem resilient. But underneath the surface, the purchasing power of the dollar continues eroding year after year.

That is what a soft default looks like. The government technically honors its obligations, but repays those obligations in increasingly devalued dollars. Savers lose purchasing power. Wage earners fall behind inflation. The middle class gets squeezed as the cost of living rises faster than incomes. Yet politically, inflation remains preferable because it spreads the pain gradually across society instead of concentrating it into one catastrophic event. I’ve even speculated that the Fed could wind up inventing new inflation numbers out of thin air for PR purposes if this happens: The Fed Will Invent New Inflation Numbers Out Of Thin Air

The second possibility is the hard default. This is the more chaotic and openly destructive scenario where policymakers lose control before they can inflate their way out of the problem. A hard default would not necessarily require the United States to formally announce that it is refusing to pay its debts. It could emerge through failed Treasury auctions, a debt ceiling accident, a severe liquidity freeze in the bond market, delayed government obligations, or a broader sovereign confidence crisis that causes investors to rapidly reassess the safety of U.S. debt.

In that environment, Treasury yields could spike violently higher while banks and financial institutions holding large amounts of long-duration government debt come under enormous pressure. Credit markets could freeze. Equity markets would likely experience a rapid downward repricing before policymakers responded with emergency interventions. Government spending cuts and forced austerity measures could suddenly become unavoidable not because Washington chose discipline voluntarily, but because markets imposed discipline externally.

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This is the scenario policymakers fear most because once sovereign confidence begins breaking apart, events move very quickly. Financial history repeatedly shows that debt crises tend to unfold slowly for years and then suddenly all at once. I see this as the less likely scenario, but between the two paths, I’d venture to guess we have 99% of what could possibly take place nailed down and out in the open.

I believe the soft default remains far more likely than the hard default for one simple reason: policymakers will do almost anything to avoid immediate collapse. They will print before they default. They will monetize debt before they accept a disorderly Treasury market. They will sacrifice the purchasing power of the currency before they willingly allow the government’s financing structure to implode.

Sorkin says he knows a crash is coming but does not know what form it will take. I think we can narrow it down much further than that. The next crisis will probably not look like 1929, and it may not even resemble 2008. The more likely scenario is an inflationary sovereign debt crisis disguised for a period of time as economic resilience. It will look like rising nominal asset prices, stubborn inflation, endless liquidity support, and growing pressure on the dollar itself as policymakers attempt to suppress yields and keep the Treasury market functioning.

Because ultimately, once long-term interest rates become politically intolerable, the Federal Reserve will face an impossible choice. It can defend the dollar by allowing yields to rise and risk detonating the debt structure, or it can defend the Treasury market through intervention and risk significantly higher inflation. Under a new Fed chair like Kevin Warsh, the options are still fundamentally the same. Policymakers can change the language, revise inflation metrics, redefine targets, and introduce new programs, but they cannot escape the underlying arithmetic.

History strongly suggests they will choose inflation. Not because it solves the problem, but because it delays the reckoning.

And that is ultimately where I disagree with Sorkin. I do not think the future crash is unknowable. I think the pressure points are already obvious. To me, the only real question is whether the United States defaults honestly through crisis or dishonestly through inflation. I’d bet on the latter, and as an investor it would make me keen to watch gold if it gets smacked lower an an initial shock to markets before the Fed intervenes. Because I could easily see a situation where gold keeps retreating, perhaps to $4,000 or lower, sharply moving lower during the initial shock, maybe to $3500 or lower, before doubling or tripling in the years after a Fed response that I believe could be very inflationary and push gold closer to $10,000 over time.

--

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 no longer actively trade (read my story here) and my accounts are managed by recurring contributions to trusted third parties and advisors and/or recurring contributions mostly to sector ETFs. Such advisors, through individual equities, options, index funds, mutual funds, ETFs, or other securities, may have positions in names that I know nothing about. Basically, I could own or not own anything at any point, and not have any idea about it.

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 Fri, 05/29/2026 - 14:20
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Was Amazon's Tokenmaxxing Fiasco Behind Claude's $500M Mystery Bill?

Zero Rss
3 weeks 4 days ago
Was Amazon's Tokenmaxxing Fiasco Behind Claude's $500M Mystery Bill?

Axios reported this week that an unnamed Anthropic enterprise client managed to run up roughly $500 million in Claude charges in a single month after failing to put usage limits on employee licenses.

The company was not named, but we suspect Blue Origin might not be the only thing that blew up for Jeff Bezos this month.

Just as the Axios report landed with the $500M tidbit, Amazon was shutting down an internal AI-usage leaderboard after employees reportedly began “tokenmaxxing” - routing unnecessary work through AI tools to inflate their usage scores. The result was a perfect case study in what happens when corporate America turns AI adoption into a metric, then acts surprised when employees optimize for the metric instead of the work.

Whether or not Amazon was the mystery Claude whale, its internal AI experiment shows exactly how a runaway enterprise AI bill can happen.

The $500M Claude Mystery

The Axios item was brief, but extraordinary:;

An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees. 

So, oops to every CFO who recently approved "AI adoption" as a corporate priority.

In the old software world, when true nerds roamed the land, a bad rollout usually meant paying for licenses employees barely touched. The waste was real, but at least it was mostly static. In the new agentic AI world, a bad rollout - or simply adopting AI for everything - can quickly become devastating: thousands of employees - or autonomous agents operating on their behalf - prompting, testing, summarizing, refactoring, retrying, and spinning up new tasks on usage-based pricing.

That is the heart of the current enterprise AI hangover. Companies spent the past year foisting AI on employees, often without a clean way to separate productivity from dashboard-friendly activity. And now the hangover is here. 

Microsoft has reportedly started canceling most Claude Code licenses and steering developers toward GitHub Copilot CLI. Uber reportedly burned through its entire 2026 AI coding-tools budget by April, with COO Andrew Macdonald saying it was “very hard to draw a line” between rising Claude Code usage and useful consumer-facing output. Meta killed an employee-created “Claudeonomics” dashboard after workers competed to rank among the company’s top AI token users.

Amazon’s Tokenmaxxing Fiasco

Amazon’s version of the problem was almost too on-the-nose.

Earlier this month, Financial Times reported that Amazon employees were using MeshClaw, an internal OpenClaw-style AI agent tool, to inflate AI usage metrics. MeshClaw let employees vibecode themselves agents that could interact with workplace systems, including code deployments, email triage, and Slack-style communications.

The company had also been pushing aggressive AI adoption internally. According to the FT, more than 80% of Amazon developers were expected to use AI tools weekly, and internal leaderboards tracked AI usage. Employees reportedly responded by routing non-essential tasks through AI agents in order to boost their token counts.

They even had an internal leaderboard - KiroRank - that issued nerd points (or whatever) to employees who tokenmaxxed. Apparently it didn't take long for them to realize this was a huge mistake - nuking KiroRank after it encouraged some workers to perform tasks that did not necessarily solve customer or business problems, but did help them climb the rankings. Amazon senior vice president Dave Treadwell reportedly told staff: “Please don’t use AI just for the sake of using AI.”

Amazon later emphasized that KiroRank was an informal employee-created tracker, not a formal performance system, and said it was never intended to promote AI usage for usage’s sake. The company also said it still tracks AI token usage to measure costs, but does not encourage tokenmaxxing.

Why Amazon Tops The $500M Suspect List

Start with the obvious: Amazon has one of the deepest strategic relationships with Anthropic of any company on earth.

Amazon announced in April that it would invest another $5 billion in Anthropic, with the possibility of up to $20 billion more tied to commercial milestones, on top of the $8 billion it had already invested. The same announcement said Anthropic had committed to spend more than $100 billion over ten years on AWS technologies.

That makes Amazon more than an ordinary Claude customer. It is an investor, infrastructure provider, distribution partner, and cloud beneficiary of Anthropic’s growth. 

Then there's the scale. Reuters reported in February that Amazon projected roughly $200 billion in capital expenditures for 2026, up sharply from 2025, as Big Tech raced to build out AI infrastructure. That level of spending needs demand signals. Internal AI usage is one of those signals.

Then there is the timing. Amazon’s MeshClaw usage controversy surfaced in May. KiroRank was deprecated in late May. Axios’ unnamed $500 million Claude bill appeared at the same moment the industry was waking up to the cost of tokenmaxxing.

2 weeks to kill the ROI Golden Goose pic.twitter.com/7wuDMpBNvb

— zerohedge (@zerohedge) May 29, 2026

So, yeah... 

Circle Jerk Intensifies?

The broader issue is not whether Amazon specifically spent $500 million on Claude in one month. The broader issue is that the AI boom is increasingly built on circular flows of money, usage, and valuation.

Hyperscalers invest billions in model companies. Model companies commit to spend billions back on hyperscaler cloud infrastructure. Enterprises push employees to use the tools. Token consumption rises. Rising usage supports higher revenue projections. Higher revenue projections support higher valuations. Higher valuations justify more infrastructure spending.

On paper, it looks like demand. In practice, some of that demand may be employees and agents burning tokens because management told them usage equals progress.

Reuters recently warned that Anthropic’s explosive growth tells only half the story, noting early signs of corporate AI fatigue even as revenue projections and valuation math move higher. The warning is simple: AI demand may be real, but not all usage is economically productive.

Which is a pretty big narrative killer...  If a developer uses Claude Code to ship a meaningful feature faster, that is adoption. If an employee routes fake busywork through an autonomous agent to climb a leaderboard, that is not adoption. It is metered theater.

The problem is that both show up as tokens.

There's an old idea in economics called Goodhart’s Law: when a measurement becomes the target, it stops being a useful measurement.

In plain English, if you tell employees they will be judged by a number, they will make the number go up - whether or not the underlying business gets any better.

That's exactly the danger with enterprise AI adoption. Token usage can be a useful internal signal. It can show whether employees are experimenting with tools, whether teams are adopting new workflows, and where demand is rising. But once token usage becomes a scoreboard, it no longer measures productivity. It measures willingness to burn tokens.

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Clorox shares tumbled on Friday after Chair and CEO Linda Rendle said she will step down for "health reasons," prompting the board to begin a search for her replacement.

"Rendle will also serve in an advisory role for a period following the appointment to drive business performance and a smooth leadership transition," Clorox wrote in a press release.

Rendle wrote in a statement, "Serving as CEO of Clorox for the past six years—and being part of this special company for more than two decades—has truly been the privilege of my career."

Under Rendle's six-year tenure, Clorox shares have fallen from grace, down a staggering 57%.

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TD Cowen (hold, PT $90)

  • Analyst Robert Moskow says the announcement reinforces concerns about execution missteps amid CLX's plans to modernize its enterprise resource planning software and launch new products, particularly restaging cat litter."

  • "We expect the company to guide below consensus for FY27."

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  • Analyst Kevin Grundy says CLX's next CEO will inherit a host of challenges, including worsening business performance, volatility in delivery, and subdued category growth.

  • "Former and now retired CEO of CHD, Matt Farrell, is very unlikely, but would be a home run for CLX's shareholders"

So, did Rendle actually step down for "health reasons," or was it because investors had lost confidence in the turnaround timeline?

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