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⚠️Von Greyerz: In The End The Dollar Goes To Zero & The US Defaults⚠️
December 05, 2022
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With US and Global debt exploding prior to both assets and debt imploding, let us look at the disastrous consequences for the US and the world.

Debt explosion leading to the currency becoming worthless has happened in history for as long as there has been some form of money whether we talk about 3rd century Rome, 18th century France or 20th century Weimar Republic and many many more.

So here we are again, another monetary era and another guaranteed collapse as von Mises said:

“There is no means of avoiding the final collapse
of a boom brought about by credit expansion”

This disastrous borrowed prosperity, with ZERO ability to repay the surging debt,  will lead to one of the three consequences below:

1. THE US$ GOES TO ZERO

2. A US DEFAULT

3. BOTH OF THE ABOVE

The most likely outcome is number 3 in my view. The dollar will go to ZERO and the US will default. The same will happen to most countries.

I outline the consequences for the world at the end of his article.

Many people say that the US can never default. That is of course absolute nonsense.

If a country prints worthless debt that nobody will buy in a currency that no one wants to hold, the country has definitely defaulted whatever spin they put on it.

In the next few years, not just US but all sovereign debt will only have one buyer which is the country that issues the debt. And every time a sovereign state buys its own debt, it has to issue more worthless debt that nobody will touch with a barge pole.

Printing more money to pay for previous sins has never worked and never will.

And this is how money dies, just like it has throughout history.

The current monetary era started with the foundation of the Fed in 1913 and the acceleration of debt and currency debasement since 1971 when Nixon closed the gold window. With just over 100 years into this era, it is now approaching the end, like they all do.

Global currencies are already down 97-99% since 1971 and we can now expect the final 1-3% decline for all money to become virtually worthless. This is of course nothing new in history since every single currency has always gone to ZERO. We must of course remember that the final 1-3% move means a 100% fall from today. The final collapse is always the quickest so it could easily happen in the next 2-5 years.

DEBT, DEBT AND MORE DEBT

Let’s look at how it has all evolved.

Although US debt has increased virtually every year since 1930, the acceleration started in the late 1960s and 1970s. With gold backing the dollar and therefore most currencies UNTIL 1971, the ability to borrow more money was restricted without depleting the gold reserves.

Since the gold standard prevented Nixon to print money and buy votes to stay in power, he conveniently got rid of those shackles “temporarily” as he declared on August 15, 1971. Politicians don’t change. Powell and Lagarde recently called the increase in inflation “transitory” but in spite of their bogus prediction, inflation has continued to rise.

Since 1971 total US debt has gone up 53X with GDP only up 22X as the graph below shows:

As the widening Gap between Debt and GDP in the graph above shows, it now takes ever more debt to achieve increases in GDP.  So without printing worthless money, REAL GDP would show a decline.

So this is what our politicians are doing, buying votes and creating fake growth through printed money. This gives the voter the illusion of  increased income and wealth. Sadly he doesn’t grasp that the illusory increase in living standard is all based on debt and devalued money.

Let’s also look at US Federal Debt:

Since Reagan became president in 1981, US federal debt has on average doubled every 8 years. Thus when Trump inherited the $20 trillion debt from Obama in 2017, I forecast that the debt would double by 2025 to $40t. That still looks like a valid projection but with the economic problems I expect, a $50t debt by 2025-6 cannot be excluded.

So presidents know they can buy the love of the people by running chronic deficits and printing money to make up for the difference.

But if we look at the graph above again, it shows that debt has gone up 35X since 1981 but that tax revenue has only increased 8X from $0.6t to $4.9t.

How can any sane person believe that with debt going up 4.5X faster than tax revenue that the debt can ever be repaid.

Even worse, with US interest payments on the debt surging from around 0% to probably 5% by 2025 the interest on the debt will climb to $2 trillion or circa 30% of the annual budget.

So with higher interest rates, higher deficits and rising inflation the scene is set for a high or hyper-inflationary period in the next few years.

FED PIVOT?

So virtually every observer believes that the Fed (and ECB) will not just stop raising interest rates but pivot and lower them again.

In my view this will not happen except for possibly very short term. The 40 year interest rate downtrend finished in 2020 and the world is unlikely to see low or negative rates for many years or decades.  High inflation and high rates will continue for years. But as we see in the 40 year chart of the 10 year US treasury below, there will be many corrections in the coming uptrend.

US MONEY SUPPLY GROWING AT 74% ANNUALISED

Between August 1971 and August 2019 US money supply grew at 6.1% p.a.

In August 2019, the hangover from the 2006-9 Great Financial Crisis hit the financial system again resulting in major support actions from the Fed and other central banks.

So the fresh problems emerged before Covid and before Ukraine. But those two new crises obviously exacerbated the systemic problems that had been put on ice for 10 years. This led to massive money printing and M1 in the US no longer increased at 6% annually but at a hyperinflationary 74% p.a. as the graph below shows.

 

$25 TRILLION GLOBAL LIQUIDITY/DEBT INCREASE AT ZERO COST

Central banks are always wrong and always behind the curve. They kept short term rates at zero or negative for over a decade. From 2009 to 2019 the balance sheets of major central banks increased by $13t. But then from Aug 2019 to 2022 an explosion in central bank debt took place, expanding their balance sheets $23t from $13t to $36t. All the same reasons that I discuss in the paragraph above regarding US money supply are obviously also valid for global debt expansion.

There is nothing like free money! The banks created this money at ZERO cost. They did no work and nor did they produce any goods or services. All they needed to do was to press a button. And with interest rates at zero or negative, many central banks were actually receiving interest from the lenders.

What a beautiful Ponzi scheme. CBs print/borrow money and then they are paid for the pleasure of borrowing this money.  Any private swindler launching such a scheme like Ponzi or Madoff would spend the rest of his life in prison but the bankers are praised for “saving” the system.

What virtually no individual understands is that this free money then enters the financial system as having a real intrinsic value. As with all Ponzi schemes, the current financial system will collapse too as the holders of the fake paper money realise that the money is worthless and that the emperor is totally naked.

That will be the final phase of the current monetary system with unlimited money printing as the $2.3 quadrillion debt pyramid collapses which I discussed in this article and also in this interview with Greg Hunter USA Watchdog .

This is what the global financial system looks like: 

The estimated $2 quadrillion gross derivatives is today quasi debt but will one day  become real debt, as central banks attempt to rescue the financial system. When counterparties fail, the gross will remain gross. So in total the world will face a $2,3 quadrillion debt resting on $2 trillion of central bank gold, a 0.1% coverage.

Within the next five years or so, the triangle is likely to be inverted with central bank gold as the foundation at the bottom. But instead of gold being only 0.1% of global liabilities, it will be as much as maybe 20%. That 200x revaluation of gold will be a combination of the value of global assets and liabilities collapsing and gold rising.

Personally I don’t believe in a lasting formal reset with a new currency system backed by gold. I cannot see the three major gold producers/holders China, Russia and India agreeing with the US on a revaluation. It is also questionable if the US has anywhere near the 8,000 tonnes of gold they are declaring. Also, China and Russia probably have considerably more gold than they are declaring.

Instead, after the fake paper market in gold has collapsed, the price must be based on supply and demand of unencumbered physical gold or Free Gold. But that can only happen after the current financial system based on fake money, debt and derivatives no longer functions. 

CONSEQUENCES

But before that, the world must pay for the excesses of the last 50 years. The consequences will be dire as we are facing a major cataclysm or disorderly reset which will involve:

  • DEBT DEFAULTS – SOVEREIGN, CORPORATE  & PRIVATE

  • BURSTING OF EPIC BUBBLES IN STOCKS, BONDS & PROPERTY

  • MAJOR GEOPOLITICAL CONFLICTS WITH NO DESIRE FOR PEACE

  • SECULAR FALL OF LIVING STANDARDS DUE TO HIGHER COST OF ENERGY & ENERGY SHORTAGES

  • FOOD SHORTAGES LEADING TO MAJOR FAMINE AND CIVIL UNREST

  • POLITICAL AND ECONOMIC INSTABILITY & CORRUPTION

  • NO COUNTRY WILL AFFORD SOCIAL SECURITY OR PENSIONS

  • INFLATION HYPERINFLATION AND LATER DEFLATIONARY IMPLOSION

I sincerely hope that these predictions will not take place. Because if they do, everyone will suffer dramatically for an extended period. No one, rich or poor will avoid these problems.

I am naturally not predicting, like a Cassandra, (my 2017 article with a timely gold projection) that this disorderly reset will absolutely take place. Only future historians will tell us what actually happened.

But what I am saying is that the risk of a major catastrophe has never been higher in history, whenever it actually happens.

Physical gold and silver will not save you but clearly be the best financial insurance you can hold.

Most important is a support system of family and friends. Remember also that in addition to family and friends, some of the best things in life are free like nature, music, books and many hobbies.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
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Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
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That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
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It can't.
 
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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

💰 4. Financial & Market Concepts

  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

💡 Quick Cheat Sheet

"Not your keys, not your coins."

If you do not hold the private keys or seed phrase to your digital wallet, you do not truly own the assets inside it—a centralized entity or exchange does. Always prioritize security first as you explore the space.

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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

Source

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